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The Last Decade of HCI Research on Children and Voice-based Conversational Agents

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Published:28 April 2022Publication History

ABSTRACT

Voice-based Conversational Agents (CAs) are increasingly being used by children. Through a review of 38 research papers, this work maps trends, themes, and methods of empirical research on children and CAs in HCI research over the last decade. A thematic analysis of the research found that work in this domain focuses on seven key topics: ascribing human-like qualities to CAs, CAs? support of children?s learning, the use and role of CAs in the home and family context, CAs? support of children?s play, children?s storytelling with CA, issues concerning the collection of information revealed by CAs, and CAs designed for children with differing abilities. Based on our findings, we identify the needs to account for children’s intersectional identities and linguistic and cultural diversity and theories from multiple disciples in the design of CAs, develop heuristics for child-centric interaction with CAs, to investigate implications of CAs on social cognition and interpersonal relationships, and to examine and design for multi-party interactions with CAs for different domains and contexts.

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References

  1. Ali Abdolrahmani, Maya Howes Gupta, Mei-Lian Vader, Ravi Kuber, and Stacy Branham. 2021. Towards More Transactional Voice Assistants: Investigating the Potential for a Multimodal Voice-Activated Indoor Navigation Assistant for Blind and Sighted Travelers. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, Article 495, 16 pages. https://doi.org/10.1145/3411764.3445638Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Ali Abdolrahmani, Kevin M. Storer, Antony Rishin Mukkath Roy, Ravi Kuber, and Stacy M. Branham. 2020. Blind Leading the Sighted: Drawing Design Insights from Blind Users towards More Productivity-Oriented Voice Interfaces. ACM Trans. Access. Comput. 12, 4, Article 18 (Jan. 2020), 35 pages. https://doi.org/10.1145/3368426Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Deanne M Adams, Richard E Mayer, Andrew MacNamara, Alan Koenig, and Richard Wainess. 2012. Narrative games for learning: Testing the discovery and narrative hypotheses.Journal of educational psychology 104, 1 (2012), 235. https://doi.org/10.1037/a0025595Google ScholarGoogle ScholarCross RefCross Ref
  4. Sara Aeschlimann, Marco Bleiker, Michael Wechner, and Anja Gampe. 2020. Communicative and social consequences of interactions with voice assistants. Computers in Human Behavior 112 (2020), 106466. https://doi.org/10.1016/j.chb.2020.106466Google ScholarGoogle ScholarCross RefCross Ref
  5. Yoko Akama and Joyce Yee. 2016. Seeking stronger plurality: Intimacy and integrity in designing for social innovation. In Cumulus Hong Kong 2016 (Hong Kong). Cumulus Association, Aalto, Finland, 12 pages.Google ScholarGoogle Scholar
  6. Mehdi Alaimi, Edith Law, Kevin Daniel Pantasdo, Pierre-Yves Oudeyer, and Hélène Sauzeon. 2020. Pedagogical Agents for Fostering Question-Asking Skills in Children. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376776Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Mohammad Rafayet Ali, Seyedeh Zahra Razavi, Raina Langevin, Abdullah Al Mamun, Benjamin Kane, Reza Rawassizadeh, Lenhart K. Schubert, and Ehsan Hoque. 2020. A Virtual Conversational Agent for Teens with Autism Spectrum Disorder: Experimental Results and Design Lessons. In Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents (Virtual Event, Scotland, UK) (IVA ’20). Association for Computing Machinery, New York, NY, USA, Article 2, 8 pages. https://doi.org/10.1145/3383652.3423900Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz. 2019. Guidelines for Human-AI Interaction. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi-org/10.1145/3290605.3300233Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Sean Andrist, Iolanda Leite, and Jill Lehman. 2013. Fun and Fair: Influencing Turn-Taking in a Multi-Party Game with a Virtual Agent. In Proceedings of the 12th International Conference on Interaction Design and Children (New York, New York, USA) (IDC ’13). Association for Computing Machinery, New York, NY, USA, 352–355. https://doi.org/10.1145/2485760.2485800Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Petter Bae Bae Brandtzæg, Marita Skjuve, Kim Kristoffer Kristoffer Dysthe, and Asbjørn Følstad. 2021. When the Social Becomes Non-Human: Young People’s Perception of Social Support in Chatbots. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, Article 257, 13 pages. https://doi.org/10.1145/3411764.3445318Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Anshul Bawa, Pranav Khadpe, Pratik Joshi, Kalika Bali, and Monojit Choudhury. 2020. Do Multilingual Users Prefer Chat-Bots That Code-Mix? Let’s Nudge and Find Out!Proc. ACM Hum.-Comput. Interact. 4, CSCW1, Article 041 (May 2020), 23 pages. https://doi.org/10.1145/3392846Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Helen Benedict. 1979. Early lexical development: comprehension and production. Journal of Child Language 6, 2 (1979), 183–200. https://doi.org/10.1017/S0305000900002245Google ScholarGoogle ScholarCross RefCross Ref
  13. Erin Beneteau, Ashley Boone, Yuxing Wu, Julie A. Kientz, Jason Yip, and Alexis Hiniker. 2020. Parenting with Alexa: Exploring the Introduction of Smart Speakers on Family Dynamics. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376344Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Erin Beneteau, Yini Guan, Olivia K. Richards, Mingrui Ray Zhang, Julie A. Kientz, Jason Yip, and Alexis Hiniker. 2020. Assumptions Checked: How Families Learn About and Use the Echo Dot. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 1, Article 3 (March 2020), 23 pages. https://doi.org/10.1145/3380993Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Erin Beneteau, Olivia K. Richards, Mingrui Zhang, Julie A. Kientz, Jason Yip, and Alexis Hiniker. 2019. Communication Breakdowns Between Families and Alexa. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3290605.3300473Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Rolf Black, Annalu Waller, Ross Turner, and Ehud Reiter. 2012. Supporting Personal Narrative for Children with Complex Communication Needs. ACM Trans. Comput.-Hum. Interact. 19, 2, Article 15 (July 2012), 35 pages. https://doi.org/10.1145/2240156.2240163Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Elena Bodrova and Deborah J Leong. 2006. Tools of the mind. Pearson Australia Pty Limited, Melbourne, Vic, Australia.Google ScholarGoogle Scholar
  18. Peter Börjesson, Wolmet Barendregt, Eva Eriksson, and Olof Torgersson. 2015. Designing Technology for and with Developmentally Diverse Children: A Systematic Literature Review. In Proceedings of the 14th International Conference on Interaction Design and Children (Boston, Massachusetts) (IDC ’15). Association for Computing Machinery, New York, NY, USA, 79–88. https://doi.org/10.1145/2771839.2771848Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77–101. https://doi.org/10.1191/1478088706qp063oaGoogle ScholarGoogle ScholarCross RefCross Ref
  20. Barbara E Bullock and Almeida Jacqueline Toribio. 2009. Themes in the study of code-switching.Cambridge University Press, Cambridge, UK.Google ScholarGoogle Scholar
  21. Harry Bunt. 2009. The DIT++ taxonomy for functional dialogue markup. In Proceedings of 8th International Conference on Autonomous Agents and Multiagent Systems (Budapest, Hungary) (AAMAS 2009). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, USA, 13–24.Google ScholarGoogle Scholar
  22. Canadian Institutes of Health Research. 2006. Randomized controlled trials registration/application checklist (12/2006). Technical Report. Government of Canada. http://www.cihr-irsc.gc.ca/e/documents/rct_reg_e.pdfGoogle ScholarGoogle Scholar
  23. Fabio Catania, Micol Spitale, Giulia Cosentino, and Franca Garzotto. 2020. Conversational Agents to Promote Children’s Verbal Communication Skills. In International Workshop on Chatbot Research and Design. Springer, Cham, Switzerland, 158–172. https://doi.org/10.1007/978-3-030-68288-0_11Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Theodora Chaspari, Chi-Chun Lee, and Shrikanth Narayanan. 2012. Interplay between verbal response latency and physiology of children with autism during ECA interactions. In Thirteenth Annual Conference of the International Speech Communication Association (Portland, OR, USA) (INTERSPEECH 2012). International Speech Communication Association, Grenoble, France, 1319–1322.Google ScholarGoogle ScholarCross RefCross Ref
  25. Ying-Yu Chen, Ziyue Li, Daniela Rosner, and Alexis Hiniker. 2019. Understanding Parents’ Perspectives on Mealtime Technology. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 1, Article 5 (March 2019), 19 pages. https://doi.org/10.1145/3314392Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Leigh Clark, Benjamin R. Cowan, Abi Roper, Stephen Lindsay, and Owen Sheers. 2020. Speech Diversity and Speech Interfaces: Considering an Inclusive Future through Stammering. In Proceedings of the 2nd Conference on Conversational User Interfaces (Bilbao, Spain) (CUI ’20). Association for Computing Machinery, New York, NY, USA, Article 24, 3 pages. https://doi.org/10.1145/3405755.3406139Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Leigh Clark, Philip Doyle, Diego Garaialde, Emer Gilmartin, Stephan Schlögl, Jens Edlund, Matthew Aylett, João Cabral, Cosmin Munteanu, Justin Edwards, 2019. The state of speech in HCI: Trends, themes and challenges. Interacting with Computers 31, 4 (2019), 349–371. https://doi.org/10.1093/iwc/iwz016Google ScholarGoogle ScholarCross RefCross Ref
  28. Leigh Clark, Abdulmalik Ofemile, Svenja Adolphs, and Tom Rodden. 2016. A Multimodal Approach to Assessing User Experiences with Agent Helpers. ACM Trans. Interact. Intell. Syst. 6, 4, Article 29 (Nov. 2016), 31 pages. https://doi.org/10.1145/2983926Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Leigh Clark, Abdulmalik Ofemile, and Benjamin R Cowan. 2021. Exploring Verbal Uncanny Valley Effects with Vague Language in Computer Speech. In Voice Attractiveness. Springer, Singapore, 317–330. https://doi.org/10.1007/978-981-15-6627-1_17Google ScholarGoogle ScholarCross RefCross Ref
  30. Lynn Schofield Clark. 2011. Parental mediation theory for the digital age. Communication theory 21, 4 (2011), 323–343. https://doi-org/10.1111/j.1468-2885.2011.01391.xGoogle ScholarGoogle ScholarCross RefCross Ref
  31. Eric Corbett and Astrid Weber. 2016. What Can I Say? Addressing User Experience Challenges of a Mobile Voice User Interface for Accessibility. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (Florence, Italy) (MobileHCI ’16). Association for Computing Machinery, New York, NY, USA, 72–82. https://doi.org/10.1145/2935334.2935386Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Benjamin R Cowan, Holly P Branigan, Mateo Obregón, Enas Bugis, and Russell Beale. 2015. Voice anthropomorphism, interlocutor modelling and alignment effects on syntactic choices in human- computer dialogue. International Journal of Human-Computer Studies 83 (2015), 27–42. https://doi.org/10.1016/j.ijhcs.2015.05.008Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Nicola Dell and Neha Kumar. 2016. The Ins and Outs of HCI for Development. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems(CHI ’16). Association for Computing Machinery, New York, NY, USA, 2220–2232. https://doi.org/10.1145/2858036.2858081Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Eric Deng, Bilge Mutlu, and Maja J Mataric. 2019. Embodiment in Socially Interactive Robots. Foundations and Trends® in Robotics 7, 4 (2019), 251–356. https://doi.org/10.1561/2300000056Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Rita Kaur Dhamoon. 2011. Considerations on mainstreaming intersectionality. Political Research Quarterly 64, 1 (2011), 230–243.Google ScholarGoogle ScholarCross RefCross Ref
  36. Joao Dias and Ana Paiva. 2005. Feeling and reasoning: A computational model for emotional characters. In Portuguese conference on artificial intelligence. Springer, Berlin, Germany, 127–140. https://doi.org/10.1007/11595014_13Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Tawanna R. Dillahunt, Xinyi Wang, Earnest Wheeler, Hao Fei Cheng, Brent Hecht, and Haiyi Zhu. 2017. The Sharing Economy in Computing: A Systematic Literature Review. Proc. ACM Hum.-Comput. Interact. 1, CSCW, Article 38 (Dec. 2017), 26 pages. https://doi.org/10.1145/3134673Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Philip R Doyle, Leigh Clark, and Benjamin R. Cowan. 2021. What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approach. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, Article 244, 14 pages. https://doi.org/10.1145/3411764.3445206Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. Philip R. Doyle, Justin Edwards, Odile Dumbleton, Leigh Clark, and Benjamin R. Cowan. 2019. Mapping Perceptions of Humanness in Intelligent Personal Assistant Interaction. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (Taipei, Taiwan) (MobileHCI ’19). Association for Computing Machinery, New York, NY, USA, Article 5, 12 pages. https://doi.org/10.1145/3338286.3340116Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Stefania Druga, Randi Williams, Cynthia Breazeal, and Mitchel Resnick. 2017. ”Hey Google is It OK If I Eat You?”: Initial Explorations in Child-Agent Interaction. In Proceedings of the 2017 Conference on Interaction Design and Children (Stanford, California, USA) (IDC ’17). Association for Computing Machinery, New York, NY, USA, 595–600. https://doi.org/10.1145/3078072.3084330Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Daniel A. Epstein, Clara Caldeira, Mayara Costa Figueiredo, Xi Lu, Lucas M. Silva, Lucretia Williams, Jong Ho Lee, Qingyang Li, Simran Ahuja, Qiuer Chen, Payam Dowlatyari, Craig Hilby, Sazeda Sultana, Elizabeth V. Eikey, and Yunan Chen. 2020. Mapping and Taking Stock of the Personal Informatics Literature. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 4, Article 126 (Dec. 2020), 38 pages. https://doi.org/10.1145/3432231Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Julia Fink, Séverin Lemaignan, Pierre Dillenbourg, Philippe Rétornaz, Florian Vaussard, Alain Berthoud, Francesco Mondada, Florian Wille, and Karmen Franinović. 2014. Which Robot Behavior Can Motivate Children to Tidy up Their Toys? Design and Evaluation of ”Ranger”. In Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction (Bielefeld, Germany) (HRI ’14). Association for Computing Machinery, New York, NY, USA, 439–446. https://doi.org/10.1145/2559636.2559659Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Joel E Fischer, Stuart Reeves, Martin Porcheron, and Rein Ove Sikveland. 2019. Progressivity for Voice Interface Design. In Proceedings of the 1st International Conference on Conversational User Interfaces (Dublin, Ireland) (CUI ’19). ACM, New York, NY, USA, Article 26, 8 pages. https://doi.org/10.1145/3342775.3342788Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Daniel Fitton, Janet C Read, Gavin Sim, and Brendan Cassidy. 2018. Co-Designing Voice User Interfaces with Teenagers in the Context of Smart Homes. In Proceedings of the 17th ACM Conference on Interaction Design and Children (Trondheim, Norway) (IDC ’18). Association for Computing Machinery, New York, NY, USA, 55–66. https://doi.org/10.1145/3202185.3202744Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Centers for Disease Control and Prevention. 2020. Child Development. Retrieved July 7, 2021 from https://www.cdc.gov/ncbddd/childdevelopment/positiveparenting/index.htmlGoogle ScholarGoogle Scholar
  46. Jon Froehlich, Leah Findlater, and James Landay. 2010. The Design of Eco-Feedback Technology. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA) (CHI ’10). Association for Computing Machinery, New York, NY, USA, 1999–2008. https://doi.org/10.1145/1753326.1753629Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. James J Gallagher and Mary Jane Aschner. 1963. A preliminary report on analyses of classroom interaction. Merrill-Palmer Quarterly of Behavior and Development 9, 3(1963), 183–194.Google ScholarGoogle Scholar
  48. Adriana Galván. 2017. The neuroscience of adolescence. Cambridge University Press, Cambridge, UK.Google ScholarGoogle Scholar
  49. Ge Gao, Sun Young Hwang, Gabriel Culbertson, Susan R. Fussell, and Malte F. Jung. 2017. Beyond Information Content: The Effects of Culture on Affective Grounding in Instant Messaging Conversations. Proc. ACM Hum.-Comput. Interact. 1, CSCW, Article 48 (Dec. 2017), 18 pages. https://doi.org/10.1145/3134683Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. Radhika Garg and Subhasree Sengupta. 2019. ”When You Can Do It, Why Can’t I?”: Racial and Socioeconomic Differences in Family Technology Use and Non-Use. Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 63 (Nov. 2019), 22 pages. https://doi.org/10.1145/3359165Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. Radhika Garg and Subhasree Sengupta. 2020. Conversational Technologies for In-Home Learning: Using Co-Design to Understand Children’s and Parents’ Perspectives. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376631Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. Radhika Garg and Subhasree Sengupta. 2020. He Is Just Like Me: A Study of the Long-Term Use of Smart Speakers by Parents and Children. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 1, Article 11 (March 2020), 24 pages. https://doi.org/10.1145/3381002Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. David Antonio Gómez Jáuregui, Léonor Philip, Céline Clavel, Stéphane Padovani, Mahin Bailly, and Jean-Claude Martin. 2013. Video Analysis of Approach-Avoidance Behaviors of Teenagers Speaking with Virtual Agents. In Proceedings of the 15th ACM on International Conference on Multimodal Interaction (Sydney, Australia) (ICMI ’13). Association for Computing Machinery, New York, NY, USA, 189–196. https://doi.org/10.1145/2522848.2522891Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. Michal Gordon and Cynthia Breazeal. 2015. Designing a Virtual Assistant for In-Car Child Entertainment. In Proceedings of the 14th International Conference on Interaction Design and Children (Boston, Massachusetts) (IDC ’15). Association for Computing Machinery, New York, NY, USA, 359–362. https://doi.org/10.1145/2771839.2771916Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. Betty Hart and Todd R Risley. 1995. Meaningful differences in the everyday experience of young American children.Paul H Brookes Publishing, Baltimore, MD, USA.Google ScholarGoogle Scholar
  56. Geert Hofstede. 1983. National cultures in four dimensions: A research-based theory of cultural differences among nations. International Studies of Management & Organization 13, 1-2(1983), 46–74.Google ScholarGoogle ScholarCross RefCross Ref
  57. Geert Hofstede. 2011. Dimensionalizing cultures: The Hofstede model in context. Online readings in psychology and culture 2, 1 (2011), 2307–0919.Google ScholarGoogle Scholar
  58. Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé, Miro Dudik, and Hanna Wallach. 2019. Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–16. https://doi.org/10.1145/3290605.3300830Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. Inseok Hwang, Youngki Lee, Chungkuk Yoo, Chulhong Min, Dongsun Yim, and John Kim. 2019. Towards Interpersonal Assistants: Next-Generation Conversational Agents. IEEE Pervasive Computing 18, 2 (2019), 21–31. https://doi.org/10.1109/MPRV.2019.2922907Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Lilly Irani, Janet Vertesi, Paul Dourish, Kavita Philip, and Rebecca E. Grinter. 2010. Postcolonial Computing: A Lens on Design and Development. Association for Computing Machinery, New York, NY, USA, 1311–1320. https://doi-org/10.1145/1753326.1753522Google ScholarGoogle ScholarDigital LibraryDigital Library
  61. Alexis D. Jacq, Séverin Lemaignan, Fernando Garcia, Pierre Dillenbourg, and Ana Paiva. 2016. Building Successful Long Child-Robot Interactions in a Learning Context. In The Eleventh ACM/IEEE International Conference on Human Robot Interaction (Christchurch, New Zealand) (HRI ’16). IEEE Press, New York, NY, USA, 239–246.Google ScholarGoogle ScholarDigital LibraryDigital Library
  62. Kristiina Jokinen and Michael McTear. 2009. Spoken Dialogue Systems. Synthesis Lectures on Human Language Technologies 2, 1(2009), 1–151.Google ScholarGoogle ScholarCross RefCross Ref
  63. Peter H Kahn, Batya Friedman, Deanne R Perez-Granados, and Nathan G Freier. 2006. Robotic pets in the lives of preschool children. Interaction Studies 7, 3 (2006), 405–436.Google ScholarGoogle ScholarCross RefCross Ref
  64. Peter H. Kahn Jr, Heather E. Gary, and Solace Shen. 2013. Children’s Social Relationships With Current and Near-Future Robots. Child Development Perspectives 7, 1 (2013), 32–37. https://doi.org/10.1111/cdep.12011Google ScholarGoogle ScholarCross RefCross Ref
  65. Naveena Karusala, Apoorva Bhalla, and Neha Kumar. 2019. Privacy, Patriarchy, and Participation on Social Media. In Proceedings of the 2019 on Designing Interactive Systems Conference (San Diego, CA, USA) (DIS ’19). Association for Computing Machinery, New York, NY, USA, 511–526. https://doi.org/10.1145/3322276.3322355Google ScholarGoogle ScholarDigital LibraryDigital Library
  66. Saba Kawas, Ye Yuan, Akeiylah DeWitt, Qiao Jin, Susanne Kirchner, Abigail Bilger, Ethan Grantham, Julie A Kientz, Andrea Tartaro, and Svetlana Yarosh. 2020. Another Decade of IDC Research: Examining and Reflecting on Values and Ethics. In Proceedings of the Interaction Design and Children Conference (London, UK) (IDC ’20). Association for Computing Machinery, New York, NY, USA, 205–215. https://doi.org/10.1145/3392063.3394436Google ScholarGoogle ScholarDigital LibraryDigital Library
  67. Saba Kawas, Ye Yuan, Akeiylah DeWitt, Qiao Jin, Susanne Kirchner, Abigail Bilger, Ethan Grantham, Julie A Kientz, Andrea Tartaro, and Svetlana Yarosh. 2020. Another Decade of IDC Research: Examining and Reflecting on Values and Ethics. In Proceedings of the Interaction Design and Children Conference (London, UK) (IDC ’20). Association for Computing Machinery, New York, NY, USA, 205–215. https://doi.org/10.1145/3392063.3394436Google ScholarGoogle ScholarDigital LibraryDigital Library
  68. Minkyung Kim, Soonhyung Yi, and Donghun Lee. 2019. Between living and nonliving: Young children’s animacy judgments and reasoning about humanoid robots. PloS one 14, 6 (2019), e0216869.Google ScholarGoogle ScholarCross RefCross Ref
  69. Walter Kintsch. 1988. The role of knowledge in discourse comprehension: A construction-integration model.Psychological review 95, 2 (1988), 163.Google ScholarGoogle Scholar
  70. Raina Langevin, Ross J Lordon, Thi Avrahami, Benjamin R. Cowan, Tad Hirsch, and Gary Hsieh. 2021. Heuristic Evaluation of Conversational Agents. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, Article 632, 15 pages. https://doi.org/10.1145/3411764.3445312Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. Richard S Lazarus. 1991. Emotion and Adaptation. Oxford University Press, New York, NY, USA.Google ScholarGoogle Scholar
  72. Gaël Lejeune, François Rioult, and Bruno Crémilleux. 2016. Highlighting Psychological Features for Predicting Child Interjections During Story Telling. In Interspeech 2016 (San Francisco, CA, USA). International Speech Communication Association, Grenoble, France, 2056–2059. https://doi.org/10.21437/Interspeech.2016-527Google ScholarGoogle ScholarCross RefCross Ref
  73. Oliver Lemon. 2012. Conversational interfaces. In Data-Driven Methods for Adaptive Spoken Dialogue Systems. Springer, New York, NY, USA, 1–4. https://doi.org/10.1007/978-1-4614-4803-7_1Google ScholarGoogle ScholarCross RefCross Ref
  74. James C. Lester, Sharolyn A. Converse, Susan E. Kahler, S. Todd Barlow, Brian A. Stone, and Ravinder S. Bhogal. 1997. The Persona Effect: Affective Impact of Animated Pedagogical Agents. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA) (CHI ’97). Association for Computing Machinery, New York, NY, USA, 359–366. https://doi.org/10.1145/258549.258797Google ScholarGoogle ScholarDigital LibraryDigital Library
  75. Alessandro Liberati, Douglas G Altman, Jennifer Tetzlaff, Cynthia Mulrow, Peter C Gøtzsche, John PA Ioannidis, Mike Clarke, Philip J Devereaux, Jos Kleijnen, and David Moher. 2009. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Journal of clinical epidemiology 62, 10 (2009), e1–e34. https://doi.org/10.1016/j.jclinepi.2009.06.006Google ScholarGoogle ScholarCross RefCross Ref
  76. Silvia Lindtner, Ken Anderson, and Paul Dourish. 2012. Cultural Appropriation: Information Technologies as Sites of Transnational Imagination. In Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work (Seattle, Washington, USA) (CSCW ’12). Association for Computing Machinery, New York, NY, USA, 77–86. https://doi.org/10.1145/2145204.2145220Google ScholarGoogle ScholarDigital LibraryDigital Library
  77. Gustavo Lopez and Luis A. Guerrero. 2017. Awareness Supporting Technologies Used in Collaborative Systems: A Systematic Literature Review. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (Portland, Oregon, USA) (CSCW ’17). Association for Computing Machinery, New York, NY, USA, 808–820. https://doi.org/10.1145/2998181.2998281Google ScholarGoogle ScholarDigital LibraryDigital Library
  78. Silvia Lovato and Anne Marie Piper. 2015. ”Siri, is This You?”: Understanding Young Children’s Interactions with Voice Input Systems. In Proceedings of the 14th International Conference on Interaction Design and Children (Boston, Massachusetts) (IDC ’15). Association for Computing Machinery, New York, NY, USA, 335–338. https://doi.org/10.1145/2771839.2771910Google ScholarGoogle ScholarDigital LibraryDigital Library
  79. Silvia B. Lovato, Anne Marie Piper, and Ellen A. Wartella. 2019. Hey Google, Do Unicorns Exist? Conversational Agents as a Path to Answers to Children’s Questions. In Proceedings of the 18th ACM International Conference on Interaction Design and Children (Boise, ID, USA) (IDC ’19). Association for Computing Machinery, New York, NY, USA, 301–313. https://doi.org/10.1145/3311927.3323150Google ScholarGoogle ScholarDigital LibraryDigital Library
  80. Ewa Luger and Abigail Sellen. 2016. ”Like Having a Really Bad PA”: The Gulf between User Expectation and Experience of Conversational Agents. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI ’16). Association for Computing Machinery, New York, NY, USA, 5286–5297. https://doi.org/10.1145/2858036.2858288Google ScholarGoogle ScholarDigital LibraryDigital Library
  81. Michal Luria, Rebecca Zheng, Bennett Huffman, Shuangni Huang, John Zimmerman, and Jodi Forlizzi. 2020. Social Boundaries for Personal Agents in the Interpersonal Space of the Home. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3313831.3376311Google ScholarGoogle ScholarDigital LibraryDigital Library
  82. EM Mahone and HE Schneider. 2012. Assessment of attention in preschoolers. Neuropsychology review 22, 4 (2012), 361–383.Google ScholarGoogle Scholar
  83. Richard E Mayer, Kristina Sobko, and Patricia D Mautone. 2003. Social cues in multimedia learning: Role of speaker’s voice.Journal of educational Psychology 95, 2 (2003), 419.Google ScholarGoogle Scholar
  84. Erica F McClure. 1977. Aspects of code-switching in the discourse of bilingual Mexican-American children. Technical Report. University of Illinois at Urbana-Champaign, Champaign, IL, USA.Google ScholarGoogle Scholar
  85. Emily McReynolds, Sarah Hubbard, Timothy Lau, Aditya Saraf, Maya Cakmak, and Franziska Roesner. 2017. Toys That Listen: A Study of Parents, Children, and Internet-Connected Toys. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 5197–5207. https://doi.org/10.1145/3025453.3025735Google ScholarGoogle ScholarDigital LibraryDigital Library
  86. Gail F Melson, Peter H Kahn Jr, Alan Beck, Batya Friedman, Trace Roberts, Erik Garrett, and Brian T Gill. 2009. Children’s behavior toward and understanding of robotic and living dogs. Journal of Applied Developmental Psychology 30, 2 (2009), 92–102.Google ScholarGoogle ScholarCross RefCross Ref
  87. Ellen Moran, David Warden, Lindsey Macleod, Gillian Mayes, and John Gillies. 1997. Stranger-danger: What do children know?Child Abuse Review: Journal of the British Association for the Study and Prevention of Child Abuse and Neglect 6, 1 (1997), 11–23.Google ScholarGoogle Scholar
  88. Masahiro Mori, Karl F MacDorman, and Norri Kageki. 2012. The uncanny valley [from the field]. IEEE Robotics & Automation Magazine 19, 2 (2012), 98–100. https://doi.org/10.1109/MRA.2012.2192811Google ScholarGoogle ScholarCross RefCross Ref
  89. Emily Mower, Chi-Chun Lee, James Gibson, Theodora Chaspari, Marian E Williams, and Shrikanth Narayanan. 2011. Analyzing the nature of ECA interactions in children with autism. In Twelfth Annual Conference of the International Speech Communication Association(INTERSPEECH 2011). International Speech Communication Association, Grenoble, France, 2989–2992.Google ScholarGoogle ScholarCross RefCross Ref
  90. Christine Murad, Cosmin Munteanu, Benjamin R. Cowan, and Leigh Clark. 2021. Finding a New Voice: Transitioning Designers from GUI to VUI Design. In CUI 2021 - 3rd Conference on Conversational User Interfaces (Bilbao (online), Spain) (CUI ’21). Association for Computing Machinery, New York, NY, USA, Article 22, 12 pages. https://doi.org/10.1145/3469595.3469617Google ScholarGoogle ScholarDigital LibraryDigital Library
  91. Clifford Nass and Youngme Moon. 2000. Machines and mindlessness: Social responses to computers. Journal of Social Issues 56, 1 (2000), 81–103.Google ScholarGoogle ScholarCross RefCross Ref
  92. Amy Ogan, Samantha Finkelstein, Elijah Mayfield, Claudia D’Adamo, Noboru Matsuda, and Justine Cassell. 2012. ”Oh Dear Stacy!”: Social Interaction, Elaboration, and Learning with Teachable Agents. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 39–48. https://doi.org/10.1145/2207676.2207684Google ScholarGoogle ScholarDigital LibraryDigital Library
  93. Andrew Ortony, Gerald L Clore, and Allan Collins. 1990. The Cognitive Structure of Emotions. Cambridge University Press, Cambridge, UK.Google ScholarGoogle Scholar
  94. Luiza Superti Pantoja, Kyle Diederich, Liam Crawford, and Juan Pablo Hourcade. 2019. Voice Agents Supporting High-Quality Social Play. In Proceedings of the 18th ACM International Conference on Interaction Design and Children (Boise, ID, USA) (IDC ’19). Association for Computing Machinery, New York, NY, USA, 314–325. https://doi.org/10.1145/3311927.3323151Google ScholarGoogle ScholarDigital LibraryDigital Library
  95. Sunjeong Park and Youn-kyung Lim. 2020. Investigating User Expectations on the Roles of Family-Shared AI Speakers. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376450Google ScholarGoogle ScholarDigital LibraryDigital Library
  96. Jean Piaget. 1976. Piaget’s Theory. In Piaget and His School: A Reader in Developmental Psychology, Bärbel Inhelder, Harold H. Chipman, and Charles Zwingmann (Eds.). Springer, Berlin, Germany, 11–23. https://doi.org/10.1007/978-3-642-46323-5_2Google ScholarGoogle ScholarCross RefCross Ref
  97. Luke Pittaway, Maxine Robertson, Kamal Munir, David Denyer, and Andy Neely. 2004. Networking and Innovation in the UK: On the Systematic Literature Review. Technical Report. Advanced Institute for Management Research.Google ScholarGoogle Scholar
  98. Kaundefinedka Porayska-Pomsta, Alyssa M. Alcorn, Katerina Avramides, Sandra Beale, Sara Bernardini, Mary Ellen Foster, Christopher Frauenberger, Judith Good, Karen Guldberg, Wendy Keay-Bright, Lila Kossyvaki, Oliver Lemon, Marilena Mademtzi, Rachel Menzies, Helen Pain, Gnanathusharan Rajendran, Annalu Waller, Sam Wass, and Tim J. Smith. 2018. Blending Human and Artificial Intelligence to Support Autistic Children’s Social Communication Skills. ACM Trans. Comput.-Hum. Interact. 25, 6, Article 35 (Dec. 2018), 35 pages. https://doi.org/10.1145/3271484Google ScholarGoogle ScholarDigital LibraryDigital Library
  99. Martin Porcheron. 2021. What’s in a Name and Does CUI Matter?. In CUI 2021 - 3rd Conference on Conversational User Interfaces (Bilbao (online), Spain) (CUI ’21). Association for Computing Machinery, New York, NY, USA, Article 24, 3 pages. https://doi.org/10.1145/3469595.3469619Google ScholarGoogle ScholarDigital LibraryDigital Library
  100. Martin Porcheron, Joel E Fischer, and Stuart Reeves. 2021. Pulling Back the Curtain on the Wizards of Oz. Proc. ACM Hum.-Comput. Interact. 4, CSCW3, Article 243 (jan 2021), 22 pages. https://doi.org/10.1145/3432942Google ScholarGoogle ScholarDigital LibraryDigital Library
  101. Martin Porcheron, Joel E Fischer, Stuart Reeves, and Sarah Sharples. 2018. Voice Interfaces in Everyday Life. In Proceedings of the 2018 ACM Conference on Human Factors in Computing Systems(CHI ’18). ACM, New York, NY, USA, Article 640, 12 pages. https://doi.org/10.1145/3173574.3174214Google ScholarGoogle ScholarDigital LibraryDigital Library
  102. Martin Porcheron, Joel E Fischer, and Sarah Sharples. 2017. “Do Animals Have Accents?”: Talking with Agents in Multi-Party Conversation. In Proceedings of the 20th ACM Conference on Computer-Supported Cooperative Work & Social Computing(CSCW ’17). ACM, New York, NY, USA, 207–219. https://doi.org/10.1145/2998181.2998298Google ScholarGoogle ScholarDigital LibraryDigital Library
  103. Barry M Prizant, Amy M Wetherby, Emily Rubin, and Amy C Laurent. 2003. The SCERTS model: A transactional, family-centered approach to enhancing communication and socioemotional abilities of children with autism spectrum disorder. Infants & Young Children 16, 4 (2003), 296–316.Google ScholarGoogle ScholarCross RefCross Ref
  104. Emilee Rader, Margaret Echelbarger, and Justine Cassell. 2011. Brick by Brick: Iterating Interventions to Bridge the Achievement Gap with Virtual Peers. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 2971–2974. https://doi.org/10.1145/1978942.1979382Google ScholarGoogle ScholarDigital LibraryDigital Library
  105. Ashwin Ram. 1991. A theory of questions and question asking. Journal of the Learning Sciences 1, 3-4 (1991), 273–318. https://doi.org/10.1080/10508406.1991.9671973Google ScholarGoogle ScholarCross RefCross Ref
  106. Amon Rapp, Lorenzo Curti, and Arianna Boldi. 2021. The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots. International Journal of Human-Computer Studies 151 (2021), 102630. https://doi.org/10.1016/j.ijhcs.2021.102630Google ScholarGoogle ScholarCross RefCross Ref
  107. Amon Rapp, Lorenzo Curti, and Arianna Boldi. 2021. The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots. International Journal of Human-Computer Studies 151 (2021), 102630. https://doi.org/10.1016/j.ijhcs.2021.102630Google ScholarGoogle ScholarCross RefCross Ref
  108. Karen Renaud and Judy van Biljon. 2008. Predicting Technology Acceptance and Adoption by the Elderly: A Qualitative Study. In Proceedings of the 2008 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists on IT Research in Developing Countries: Riding the Wave of Technology (Wilderness, South Africa) (SAICSIT ’08). Association for Computing Machinery, New York, NY, USA, 210–219. https://doi.org/10.1145/1456659.1456684Google ScholarGoogle ScholarDigital LibraryDigital Library
  109. Minjin Rheu, Ji Youn Shin, Wei Peng, and Jina Huh-Yoo. 2021. Systematic review: Trust-building factors and implications for conversational agent design. International Journal of Human–Computer Interaction 37, 1(2021), 81–96. https://doi.org/10.1080/10447318.2020.1807710Google ScholarGoogle ScholarCross RefCross Ref
  110. Simon Robinson, Jennifer Pearson, Shashank Ahire, Rini Ahirwar, Bhakti Bhikne, Nimish Maravi, and Matt Jones. 2018. Revisiting “Hole in the Wall” Computing: Private Smart Speakers and Public Slum Settings. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–11. https://doi.org/10.1145/3173574.3174072Google ScholarGoogle ScholarDigital LibraryDigital Library
  111. Everett M Rogers. 2010. Diffusion of innovations. Simon and Schuster, New York, NY, USA.Google ScholarGoogle Scholar
  112. Daniel Rough and Benjamin Cowan. 2020. Don’t Believe The Hype! White Lies of Conversational User Interface Creation Tools. In Proceedings of the 2nd Conference on Conversational User Interfaces (Bilbao, Spain) (CUI ’20). Association for Computing Machinery, New York, NY, USA, Article 17, 3 pages. https://doi.org/10.1145/3405755.3406140Google ScholarGoogle ScholarDigital LibraryDigital Library
  113. Sherry Ruan, Jiayu He, Rui Ying, Jonathan Burkle, Dunia Hakim, Anna Wang, Yufeng Yin, Lily Zhou, Qianyao Xu, Abdallah AbuHashem, Griffin Dietz, Elizabeth L. Murnane, Emma Brunskill, and James A. Landay. 2020. Supporting Children’s Math Learning with Feedback-Augmented Narrative Technology. In Proceedings of the Interaction Design and Children Conference (London, UK) (IDC ’20). Association for Computing Machinery, New York, NY, USA, 567–580. https://doi.org/10.1145/3392063.3394400Google ScholarGoogle ScholarDigital LibraryDigital Library
  114. Stuart Russell and Peter Norvig. 2002. Artificial Intelligence: A Modern Approach(2 ed.). Prentice Hall, Hoboken, NJ, USA.Google ScholarGoogle Scholar
  115. Kyle-Althea Santos, Ethel Ong, and Ron Resurreccion. 2020. Therapist Vibe: Children’s Expressions of Their Emotions through Storytelling with a Chatbot. In Proceedings of the Interaction Design and Children Conference (London, UK) (IDC ’20). Association for Computing Machinery, New York, NY, USA, 483–494. https://doi.org/10.1145/3392063.3394405Google ScholarGoogle ScholarDigital LibraryDigital Library
  116. Ari Schlesinger, W. Keith Edwards, and Rebecca E. Grinter. 2017. Intersectional HCI: Engaging Identity through Gender, Race, and Class. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). Association for Computing Machinery, New York, NY, USA, 5412–5427. https://doi.org/10.1145/3025453.3025766Google ScholarGoogle ScholarDigital LibraryDigital Library
  117. Alex Sciuto, Arnita Saini, Jodi Forlizzi, and Jason I. Hong. 2018. ”Hey Alexa, What’s Up?”: A Mixed-Methods Studies of In-Home Conversational Agent Usage. In Proceedings of the 2018 Designing Interactive Systems Conference (Hong Kong, China) (DIS ’18). Association for Computing Machinery, New York, NY, USA, 857–868. https://doi.org/10.1145/3196709.3196772Google ScholarGoogle ScholarDigital LibraryDigital Library
  118. Subhasree Sengupta and Radhika Garg. 2019. Impact of Voice-based Interaction on Learning Practices and Behavior of Children.. In IUI Workshops. CEUR Workshops, Aachen, Germany, 3 pages.Google ScholarGoogle Scholar
  119. Ovidiu Serban, Mukesh Barange, Sahba Zojaji, Alexandre Pauchet, Adeline Richard, and Emilie Chanoni. 2017. Interactive Narration with a Child: Impact of Prosody and Facial Expressions. In Proceedings of the 19th ACM International Conference on Multimodal Interaction (Glasgow, UK) (ICMI ’17). Association for Computing Machinery, New York, NY, USA, 23–31. https://doi.org/10.1145/3136755.3136797Google ScholarGoogle ScholarDigital LibraryDigital Library
  120. Yedendra B. Shrinivasan, Mohit Jain, Deva P. Seetharam, Abhishek Choudhary, Elaine M. Huang, Tawanna Dillahunt, and Jennifer Mankoff. 2013. Deep Conservation in Urban India and Its Implications for the Design of Conservation Technologies. Association for Computing Machinery, New York, NY, USA, 1969–1978. https://doi.org/10.1145/2470654.2466261Google ScholarGoogle ScholarDigital LibraryDigital Library
  121. Catherine Snow. 1983. Literacy and language: Relationships during the preschool years. Harvard educational review 53, 2 (1983), 165–189.Google ScholarGoogle Scholar
  122. Micol Spitale, Silvia Silleresi, Giulia Cosentino, Francesca Panzeri, and Franca Garzotto. 2020. ”Whom Would You like to Talk with?”: Exploring Conversational Agents for Children’s Linguistic Assessment. In Proceedings of the Interaction Design and Children Conference (London, UK) (IDC ’20). Association for Computing Machinery, New York, NY, USA, 262–272. https://doi.org/10.1145/3392063.3394421Google ScholarGoogle ScholarDigital LibraryDigital Library
  123. Statista.com. 2020. Smart Speaker Ownership Worldwide by Country. Retrieved June 7, 2021 from https://www.statista.com/statistics/1130208/smart-speaker-ownership-worldwide-by-countryGoogle ScholarGoogle Scholar
  124. Reed Stevens and Lori Takeuchi. 2011. The new coviewing: Designing for learning through joint media engagement. Technical Report. The Joan Ganz Cooney Center.Google ScholarGoogle Scholar
  125. Kevin M. Storer, Tejinder K. Judge, and Stacy M. Branham. 2020. ”All in the Same Boat”: Tradeoffs of Voice Assistant Ownership for Mixed-Visual-Ability Families. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3313831.3376225Google ScholarGoogle ScholarDigital LibraryDigital Library
  126. Ann Swidler. 1986. Culture in action: Symbols and strategies. American sociological review 51, 2 (apr 1986), 273–286.Google ScholarGoogle Scholar
  127. Anuj Tewari and John Canny. 2014. What Did Spot Hide? A Question-Answering Game for Preschool Children. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Toronto, Ontario, Canada) (CHI ’14). Association for Computing Machinery, New York, NY, USA, 1807–1816. https://doi.org/10.1145/2556288.2557205Google ScholarGoogle ScholarDigital LibraryDigital Library
  128. Pablo Vicente Torres-Carrión, Carina Soledad González-González, Silvana Aciar, and Germania Rodríguez-Morales. 2018. Methodology for systematic literature review applied to engineering and education. In 2018 IEEE Global engineering education conference (EDUCON). IEEE, New York, NY, USA, 1364–1373. https://doi.org/10.1109/EDUCON.2018.8363388Google ScholarGoogle ScholarCross RefCross Ref
  129. Daniel C. Tozadore and Roseli A. F. Romero. 2020. Multimodal Fuzzy Assessment for Robot Behavioral Adaptation in Educational Children-Robot Interaction. In Companion Publication of the 2020 International Conference on Multimodal Interaction (Virtual Event, Netherlands) (ICMI ’20 Companion). Association for Computing Machinery, New York, NY, USA, 392–399. https://doi.org/10.1145/3395035.3425201Google ScholarGoogle ScholarDigital LibraryDigital Library
  130. Esko Ukkonen. 2009. Maximal and minimal representations of gapped and non-gapped motifs of a string. Theoretical Computer Science 410, 43 (2009), 4341–4349.Google ScholarGoogle ScholarDigital LibraryDigital Library
  131. Patti M Valkenburg, Marina Krcmar, Allerd L Peeters, and Nies M Marseille. 1999. Developing a scale to assess three styles of television mediation:“Instructive mediation,”“restrictive mediation,” and “social coviewing”. Journal of broadcasting & electronic media 43, 1 (1999), 52–66.Google ScholarGoogle ScholarCross RefCross Ref
  132. Mike van Duuren and Michael Scaife. 1996. “Because a robot’s brain hasn’t got a brain, it just controls itself”—Children’s attributions of brain related behaviour to intelligent artefacts. European Journal of Psychology of Education 11, 4 (1996), 365–376.Google ScholarGoogle ScholarCross RefCross Ref
  133. Viswanath Venkatesh, Michael G Morris, Gordon B Davis, and Fred D Davis. 2003. User acceptance of information technology: Toward a unified view. MIS quarterly 27, 3 (sept 2003), 425–478. https://doi.org/10.2307/30036540Google ScholarGoogle ScholarCross RefCross Ref
  134. Michael Villano, Charles R. Crowell, Kristin Wier, Karen Tang, Brynn Thomas, Nicole Shea, Lauren M. Schmitt, and Joshua J. Diehl. 2011. DOMER: A Wizard of Oz Interface for Using Interactive Robots to Scaffold Social Skills for Children with Autism Spectrum Disorders. In Proceedings of the 6th International Conference on Human-Robot Interaction (Lausanne, Switzerland) (HRI ’11). Association for Computing Machinery, New York, NY, USA, 279–280. https://doi.org/10.1145/1957656.1957770Google ScholarGoogle ScholarDigital LibraryDigital Library
  135. Voicebot.AI. 2020. U.S. Smart Speaker Growth Flat Lined in 2020. Retrieved June 7, 2021 from https://voicebot.ai/2021/04/14/u-s-smart-speaker-growth-flat-lined-in-2020/Google ScholarGoogle Scholar
  136. Lev Semenovich Vygotsky. 1980. Mind in society: The development of higher psychological processes. Harvard University Press, Cambridge, MA, USA.Google ScholarGoogle Scholar
  137. Wayne Ward, Ronald Cole, Daniel Bolaños, Cindy Buchenroth-Martin, Edward Svirsky, Sarel Van Vuuren, Timothy Weston, Jing Zheng, and Lee Becker. 2011. My Science Tutor: A Conversational Multimedia Virtual Tutor for Elementary School Science. ACM Trans. Speech Lang. Process. 7, 4, Article 18 (Aug. 2011), 29 pages. https://doi.org/10.1145/1998384.1998392Google ScholarGoogle ScholarDigital LibraryDigital Library
  138. Zhuxiaona Wei and James A. Landay. 2018. Evaluating Speech-Based Smart Devices Using New Usability Heuristics. IEEE Pervasive Computing 17, 2 (2018), 84–96. https://doi.org/10.1109/MPRV.2018.022511249Google ScholarGoogle ScholarDigital LibraryDigital Library
  139. Joseph Weizenbaum. 1983. ELIZA — a Computer Program for the Study of Natural Language Communication between Man and Machine. Commun. ACM 26, 1 (Jan. 1983), 23–28. https://doi.org/10.1145/357980.357991Google ScholarGoogle ScholarDigital LibraryDigital Library
  140. Iain Werry, Kerstin Dautenhahn, Bernard Ogden, and William Harwin. 2001. Can Social Interaction Skills Be Taught by a Social Agent? The Role of a Robotic Mediator in Autism Therapy. In International Conference on Cognitive Technology(CT 2001). Springer, Berlin, Germany, 57–74. https://doi.org/10.1007/3-540-44617-6_6Google ScholarGoogle ScholarCross RefCross Ref
  141. Jacqueline M. Kory Westlund, Hae Won Park, Randi Williams, and Cynthia Breazeal. 2018. Measuring Young Children’s Long-Term Relationships with Social Robots. In Proceedings of the 17th ACM Conference on Interaction Design and Children (Trondheim, Norway) (IDC ’18). Association for Computing Machinery, New York, NY, USA, 207–218. https://doi.org/10.1145/3202185.3202732Google ScholarGoogle ScholarDigital LibraryDigital Library
  142. James Wilson and Daniel Rosenberg. 1988. Rapid prototyping for user interface design. In Handbook of human-computer interaction. Elsevier, Amsterdam, Netherlands, Chapter 39, 859–875. https://doi.org/10.1016/B978-0-444-70536-5.50044-0Google ScholarGoogle ScholarCross RefCross Ref
  143. Terry Winograd, Fernando Flores, and Fernando F Flores. 1986. Understanding Computers and Cognition: A New Foundation for Design. Addison Wesley, Reading, MA, USA.Google ScholarGoogle ScholarDigital LibraryDigital Library
  144. Julia Woodward, Zari McFadden, Nicole Shiver, Amir Ben-hayon, Jason C. Yip, and Lisa Anthony. 2018. Using Co-Design to Examine How Children Conceptualize Intelligent Interfaces. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3173574.3174149Google ScholarGoogle ScholarDigital LibraryDigital Library
  145. Yunhan Wu, Daniel Rough, Anna Bleakley, Justin Edwards, Orla Cooney, Philip R. Doyle, Leigh Clark, and Benjamin R. Cowan. 2020. See What I’m Saying? Comparing Intelligent Personal Assistant Use for Native and Non-Native Language Speakers. In 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (Oldenburg, Germany) (MobileHCI ’20). Association for Computing Machinery, New York, NY, USA, Article 34, 9 pages. https://doi.org/10.1145/3379503.3403563Google ScholarGoogle ScholarDigital LibraryDigital Library
  146. Susan Wyche, Tawanna R. Dillahunt, Nightingale Simiyu, and Sharon Alaka. 2015. ”If God Gives Me the Chance i Will Design My Own Phone”: Exploring Mobile Phone Repair and Postcolonial Approaches to Design in Rural Kenya. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing(Osaka, Japan) (UbiComp ’15). Association for Computing Machinery, New York, NY, USA, 463–473. https://doi.org/10.1145/2750858.2804249Google ScholarGoogle ScholarDigital LibraryDigital Library
  147. Ying Xu and Mark Warschauer. 2020. A Content Analysis of Voice-Based Apps on the Market for Early Literacy Development. In Proceedings of the Interaction Design and Children Conference (London, UK) (IDC ’20). Association for Computing Machinery, New York, NY, USA, 361–371. https://doi.org/10.1145/3392063.3394418Google ScholarGoogle ScholarDigital LibraryDigital Library
  148. Ying Xu and Mark Warschauer. 2020. Exploring Young Children’s Engagement in Joint Reading with a Conversational Agent. In Proceedings of the Interaction Design and Children Conference (London, UK) (IDC ’20). Association for Computing Machinery, New York, NY, USA, 216–228. https://doi.org/10.1145/3392063.3394417Google ScholarGoogle ScholarDigital LibraryDigital Library
  149. Ying Xu and Mark Warschauer. 2020. What Are You Talking To?: Understanding Children’s Perceptions of Conversational Agents. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376416Google ScholarGoogle ScholarDigital LibraryDigital Library
  150. Svetlana Yarosh, Stryker Thompson, Kathleen Watson, Alice Chase, Ashwin Senthilkumar, Ye Yuan, and A. J. Bernheim Brush. 2018. Children Asking Questions: Speech Interface Reformulations and Personification Preferences. In Proceedings of the 17th ACM Conference on Interaction Design and Children (Trondheim, Norway) (IDC ’18). Association for Computing Machinery, New York, NY, USA, 300–312. https://doi.org/10.1145/3202185.3202207Google ScholarGoogle ScholarDigital LibraryDigital Library
  151. Serdar Yildirim, Shrikanth Narayanan, and Alexandros Potamianos. 2011. Detecting emotional state of a child in a conversational computer game. Computer Speech & Language 25, 1 (2011), 29–44. https://doi.org/10.1016/j.csl.2009.12.004 Affective Speech in Real-Life Interactions.Google ScholarGoogle ScholarDigital LibraryDigital Library
  152. Jason C. Yip, Kiley Sobel, Xin Gao, Allison Marie Hishikawa, Alexis Lim, Laura Meng, Romaine Flor Ofiana, Justin Park, and Alexis Hiniker. 2019. Laughing is Scary, but Farting is Cute: A Conceptual Model of Children’s Perspectives of Creepy Technologies. Association for Computing Machinery, New York, NY, USA, 1–15. https://doi.org/10.1145/3290605.3300303Google ScholarGoogle ScholarDigital LibraryDigital Library
  153. Charles Young and Richard Horton. 2005. Putting clinical trials into context. The Lancet 366, 9480 (2005), 107–108. https://doi.org/10.1016/S0140-6736(05)67370-9Google ScholarGoogle ScholarCross RefCross Ref
  154. Ye Yuan, Stryker Thompson, Kathleen Watson, Alice Chase, Ashwin Senthilkumar, AJ Bernheim Brush, and Svetlana Yarosh. 2019. Speech interface reformulations and voice assistant personification preferences of children and parents. International Journal of Child-Computer Interaction 21 (2019), 77–88. https://doi.org/10.1016/j.ijcci.2019.04.005Google ScholarGoogle ScholarDigital LibraryDigital Library
  155. Bieke Zaman, Marije Nouwen, Jeroen Vanattenhoven, Evelien De Ferrerre, and Jan Van Looy. 2016. A qualitative inquiry into the contextualized parental mediation practices of young children’s digital media use at home. Journal of Broadcasting & Electronic Media 60, 1 (2016), 1–22. https://doi-org/10.1080/08838151.2015.1127240Google ScholarGoogle ScholarCross RefCross Ref

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  1. The Last Decade of HCI Research on Children and Voice-based Conversational Agents

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