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Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities

Published: 08 November 2024 Publication History

Abstract

Interactive storytelling is vital for preschooler development. While children's interactive partners have traditionally been their parents and teachers, recent advances in artificial intelligence (AI) have sparked a surge of AI-based storytelling and reading technologies. As these technologies become increasingly ubiquitous in preschoolers' lives, questions arise regarding how they function in practical storytelling and reading scenarios and, how parents, the most critical stakeholders, experience and perceive these technologies. This paper investigates these questions through a qualitative study with 17 parents of children aged 3-6. Our findings suggest that even though AI-based storytelling and reading technologies provide more immersive and engaging interaction, they still cannot meet parents' expectations due to a series of interactive and algorithmic challenges. We elaborate on these challenges and discuss the possible implications of future AI-based interactive storytelling technologies for preschoolers.

References

[1]
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. 1--13. https://doi.org/10.1145/3313831.3376344
[2]
Frank Bentley, Chris Luvogt, Max Silverman, Rushani Wirasinghe, Brooke White, and Danielle Lottridge. 2018. Understanding the long-term use of smart speaker assistants. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 2, 3 (2018), 1--24. https://doi.org/10.1145/3264901
[3]
Laura Boffi. 2020. Ding-dong: the Storybell and its wizard. In Proceedings of the Interaction Design and Children Conference. 421--425. https://doi.org/10.1145/3392063.3394423
[4]
Bengisu Cagiltay, Nathan Thomas White, Rabia Ibtasar, Bilge Mutlu, and Joseph Michaelis. 2022. Understanding Factors that Shape Children's Long Term Engagement with an In-Home Learning Companion Robot. In Interaction Design and Children. 362--373.
[5]
Zhenyao Cai. 2023. EmotionBlock: A Tangible Toolkit for Social-emotional Learning Through Storytelling. In Proceedings of the 22nd Annual ACM Interaction Design and Children Conference. 693--696. https://doi.org/10.1145/3585088.3594485
[6]
Chien-Ju Chang and Cho-Chi Huang. 2016. Mother--child talk during joint book reading in two social classes in Taiwan: Interaction strategies and information types. Applied Psycholinguistics, Vol. 37, 2 (2016), 387--410. https://doi.org/10.1017/S0142716415000041
[7]
Huili Chen, Anastasia K Ostrowski, Soo Jung Jang, Cynthia Breazeal, and Hae Won Park. 2022. Designing Long-term Parent-child-robot Triadic Interaction at Home through Lived Technology Experiences and Interviews. In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 401--408.
[8]
Jiaju Chen, Yuxuan Lu, Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li, Qianwen Wang, Dakuo Wang, and Yuling Sun. 2023. FairytaleCQA: Integrating a Commonsense Knowledge Graph into Children's Storybook Narratives. arXiv preprint arXiv:2311.09756 (2023).
[9]
Jennifer Chubb, Sondess Missaoui, Shauna Concannon, Liam Maloney, and James Alfred Walker. 2022. Interactive storytelling for children: A case-study of design and development considerations for ethical conversational AI. International Journal of Child-Computer Interaction, Vol. 32 (2022), 100403. https://doi.org/10.1016/j.ijcci.2021.100403
[10]
Victoria Clarke, Virginia Braun, and Nikki Hayfield. 2015. Thematic analysis. Qualitative psychology: A practical guide to research methods, Vol. 3 (2015), 222--248.
[11]
Benjamin R Cowan, Nadia Pantidi, David Coyle, Kellie Morrissey, Peter Clarke, Sara Al-Shehri, David Earley, and Natasha Bandeira. 2017. “What can i help you with” infrequent users' experiences of intelligent personal assistants. In Proceedings of the 19th international conference on human-computer interaction with mobile devices and services. 1--12. https://doi.org/10.1145/3098279.3098539
[12]
Griffin Dietz, Jimmy K Le, Nadin Tamer, Jenny Han, Hyowon Gweon, Elizabeth L Murnane, and James A Landay. 2021. Storycoder: Teaching computational thinking concepts through storytelling in a voice-guided app for children. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1--15. https://doi.org/10.1145/3411764.3445039
[13]
Jaimie Drozdal, Justin Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael Muller, Lin Ju, and Hui Su. 2020. Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems. In Proceedings of the 25th international conference on intelligent user interfaces. 297--307.
[14]
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. 595--600. https://doi.org/10.1145/3078072.3084330
[15]
Yao Du, Kerri Zhang, Sruthi Ramabadran, and Yusa Liu. 2021. Alexa, What is That Sound? A Video Analysis of Child-Agent Communication From Two Amazon Alexa Games. In Interaction Design and Children. 513--520. https://doi.org/10.1145/3459990.3465195
[16]
Neil Frude and Steve Killick. 2011. Family storytelling and the attachment relationship. Psychodynamic Practice, Vol. 17, 4 (2011), 441--455. https://doi.org/10.1080/14753634.2011.609025
[17]
Radhika Garg, Hua Cui, Spencer Seligson, Bo Zhang, Martin Porcheron, Leigh Clark, Benjamin R Cowan, and Erin Beneteau. 2022. The last decade of HCI research on children and voice-based conversational agents. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 1--19. https://doi.org/10.1145/3491102.3502016
[18]
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. 1--13. https://doi.org/10.1145/3313831.3376631
[19]
Mirko Gelsomini, Franca Garzotto, Daniele Montesano, and Daniele Occhiuto. 2016. Wildcard: A wearable virtual reality storytelling tool for children with intellectual developmental disability. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 5188--5191. https://doi.org/10.1109/EMBC.2016.7591896
[20]
Ariel Han and Zhenyao Cai. 2023. Design implications of generative AI systems for visual storytelling for young learners. In Proceedings of the 22nd Annual ACM Interaction Design and Children Conference. 470--474.
[21]
Ariel Han, Zhenyao Cai, Seungmin Jeong, and Sunm Choi. 2023. AIStory: design implication of using generative arts AI for visual storytelling. (2023).
[22]
Chad Harbig, Melissa Burton, Mariam Melkumyan, Lei Zhang, and Jiyoung Choi. 2011. SignBright: A Storytelling Application to Connect Deaf Children and Hearing Parents. In CHI '11 Extended Abstracts on Human Factors in Computing Systems (Vancouver, BC, Canada) (CHI EA '11). Association for Computing Machinery, New York, NY, USA, 977--982. https://doi.org/10.1145/1979742.1979508
[23]
James J Heckman. 1979. Sample selection bias as a specification error. Econometrica: Journal of the econometric society (1979), 153--161. https://doi.org/10.2307/1912352
[24]
John Helmes, Xiang Cao, Siân E Lindley, and Abigail Sellen. 2009. Developing the story: Designing an interactive storytelling application. In Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces. 49--52. https://doi.org/10.1145/1731903.1731913
[25]
Paulina Toro Isaza, Guangxuan Xu, Akintoye Oloko, Yufang Hou, Nanyun Peng, and Dakuo Wang. 2023. Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales. ACL'23 (2023).
[26]
Jacqueline Kory and Cynthia Breazeal. 2014. Storytelling with robots: Learning companions for preschool children's language development. In The 23rd IEEE international symposium on robot and human interactive communication. IEEE, 643--648.
[27]
Pillar Learning. 2021. Meet Codi - An Interactive, AI-Enabled Smart Toy for Kids! https://www.pillarlearning.com/
[28]
Rosemary Lever and Monique Sénéchal. 2011. Discussing stories: On how a dialogic reading intervention improves kindergartners? oral narrative construction. Journal of experimental child psychology, Vol. 108, 1 (2011), 1--24. https://doi.org/10.1016/j.jecp.2010.07.002
[29]
Zhixin Li and Ying Xu. 2023. Designing a realistic peer-like embodied conversational agent for supporting childrenbackslashtextquotesingle s storytelling. arXiv preprint arXiv:2304.09399 (2023). https://doi.org/10.48550/arXiv.2304.09399
[30]
Chaolan Lin, Selma vSabanović, Lynn Dombrowski, Andrew D Miller, Erin Brady, and Karl F MacDorman. 2021. Parental acceptance of children's storytelling robots: A projection of the uncanny valley of AI. Frontiers in Robotics and AI, Vol. 8 (2021), 579993. https://doi.org/10.3389/frobt.2021.579993
[31]
Joseph Lindley and Paul Coulton. 2015. Back to the future: 10 years of design fiction. In Proceedings of the 2015 British HCI conference. 210--211. https://doi.org/10.1145/2783446.2783592
[32]
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. 5286--5297. https://doi.org/10.1145/2858036.2858288
[33]
Patricia H Manz, Cheyenne Hughes, Ernesto Barnabas, Catherine Bracaliello, and Marika Ginsburg-Block. 2010. A descriptive review and meta-analysis of family-based emergent literacy interventions: To what extent is the research applicable to low-income, ethnic-minority or linguistically-diverse young children? Early Childhood Research Quarterly, Vol. 25, 4 (2010), 409--431.
[34]
Joan Moyer, Harriet Egertson, and Joan Isenberg. 1987. The child-centered kindergarten. Childhood Education, Vol. 63, 4 (1987), 235--242.
[35]
Centers of Disease Control and Prevention. 2021. Child Development. https://www.cdc.gov/ncbddd/childdevelopment/positiveparenting/preschoolers.html#: :text=Preschooler%20(3%2D5%20years%20old)%20%7C%20CDC
[36]
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. 314--325.
[37]
Katheryn Margaret Pascoe. 2022. Reflections on a systematic literature review: Questioning the (in) visibility of researcher positionality. Social Work Research, Vol. 46, 2 (2022), 176--180. https://doi.org/10.1093/swr/svac006
[38]
Jackie Peck. 1989. Using storytelling to promote language and literacy development. The Reading Teacher, Vol. 43, 2 (1989), 138--141.
[39]
Jean Piaget. 1976. Piaget's theory.
[40]
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019. Language models are unsupervised multitask learners. OpenAI blog, Vol. 1, 8 (2019), 9.
[41]
Mitchel Resnick, John Maloney, Andrés Monroy-Hernández, Natalie Rusk, Evelyn Eastmond, Karen Brennan, Amon Millner, Eric Rosenbaum, Jay Silver, Brian Silverman, et al. 2009. Scratch: programming for all. Commun. ACM, Vol. 52, 11 (2009), 60--67.
[42]
Sumita Sharma, Netta Iivari, Leena Ventä-Olkkonen, Heidi Hartikainen, and Marianne Kinnula. 2023. Inclusive Child-centered AI: Employing design futuring for Inclusive design of inclusive AI by and with children in Finland and India. arXiv preprint arXiv:2304.08041 (2023). https://doi.org/10.48550/arXiv.2304.08041
[43]
Jiahong Su, Davy Tsz Kit Ng, and Samuel Kai Wah Chu. 2023. Artificial intelligence (AI) literacy in early childhood education: The challenges and opportunities. Computers and Education: Artificial Intelligence, Vol. 4 (2023), 100124. https://doi.org/10.1016/j.caeai.2023.100124
[44]
David R Thomas. 2006. A general inductive approach for analyzing qualitative evaluation data. American journal of evaluation, Vol. 27, 2 (2006), 237--246. https://doi.org/10.1177/1098214005283748
[45]
Toycloud. [n.,d.]. Alpha Egg - An AI learning robot for children, that follows along and reads whatever you point at. https://www.toycloud.com/channels/198.html
[46]
Tiffany Tseng, Yumiko Murai, Natalie Freed, Deanna Gelosi, Tung D Ta, and Yoshihiro Kawahara. 2021. PlushPal: Storytelling with interactive plush toys and machine learning. In Interaction design and children. 236--245. https://doi.org/10.1145/3459990.3460694
[47]
UNICEF. 2021. Policy guidance on AI for children. (2021). https://www.unicef.org/globalinsight/media/2356/file/UNICEF-Global-Insight-policy-guidance-AI-children-2.0--2021.pdf
[48]
Asimina Vasalou, Sara Kalantari, Natalia Kucirkova, and Yvonne Vezzoli. 2020. Designing for oral storytelling practices at home: A parental perspective. International Journal of Child-Computer Interaction, Vol. 26 (2020), 100214. https://doi.org/10.1016/j.ijcci.2020.100214
[49]
Dakuo Wang, Elizabeth Churchill, Pattie Maes, Xiangmin Fan, Ben Shneiderman, Yuanchun Shi, and Qianying Wang. 2020. From human-human collaboration to Human-AI collaboration: Designing AI systems that can work together with people. In Extended abstracts of the 2020 CHI conference on human factors in computing systems. 1--6.
[50]
Danli Wang, Liang He, and Keqin Dou. 2014. StoryCube: supporting children's storytelling with a tangible tool. The Journal of Supercomputing, Vol. 70 (2014), 269--283.
[51]
Dakuo Wang, Justin D Weisz, Michael Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla Tausczik, Horst Samulowitz, and Alexander Gray. 2019. Human-AI collaboration in data science: Exploring data scientists' perceptions of automated AI. Proceedings of the ACM on human-computer interaction, Vol. 3, CSCW (2019), 1--24.
[52]
Ge Wang, Jun Zhao, Max Van Kleek, and Nigel Shadbolt. 2022. `Don't make assumptions about me!': Understanding Children's Perception of Datafication Online. Proceedings of the ACM on Human-Computer Interaction, Vol. 6, CSCW2 (2022), 1--24. https://doi.org/10.1145/3555144
[53]
Ge Wang, Jun Zhao, Max Van Kleek, and Nigel Shadbolt. 2022. Informing age-appropriate ai: Examining principles and practices of ai for children. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 1--29. https://doi.org/10.1145/3491102.3502057
[54]
Ge Wang, Jun Zhao, Max Van Kleek, and Nigel Shadbolt. 2023. Treat me as your friend, not a number in your database: Co-designing with Children to Cope with Datafication Online. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1--21. https://doi.org/10.1145/3544548.3580933
[55]
Ge Wang, Jun Zhao, Max Van Kleek, and Nigel Shadbolt. 2024. Challenges and opportunities in translating ethical AI principles into practice for children. Nature Machine Intelligence (2024), 1--6.
[56]
Henk Wolda. 1981. Similarity indices, sample size and diversity. Oecologia, Vol. 50 (1981), 296--302.
[57]
Andrew Wright. 1995. Storytelling with children. Oxford University.
[58]
Tongshuang Wu, Michael Terry, and Carrie Jun Cai. 2022. Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts. In Proceedings of the 2022 CHI conference on human factors in computing systems. 1--22. https://doi.org/10.1145/3491102.3517582
[59]
Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James Hendler, Marzyeh Ghassemi, Anind K Dey, and Dakuo Wang. 2024. Mental-llm: Leveraging large language models for mental health prediction via online text data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 8, 1 (2024), 1--32.
[60]
Ying Xu, Stacy Branham, Xinwei Deng, Penelope Collins, and Mark Warschauer. 2021. Are Current Voice Interfaces Designed to Support Children's Language Development. In Proceedings of the 2021 CHI conference on human factors in computing systems. 1--12. https://doi.org/10.1145/3411764.3445271
[61]
Ying Xu, Dakuo Wang, Penelope Collins, Hyelim Lee, and Mark Warschauer. 2021. Same benefits, different communication patterns: Comparing Children's reading with a conversational agent vs. a human partner. Computers & Education, Vol. 161 (2021), 104059. https://doi.org/10.1016/j.compedu.2020.104059
[62]
Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Li, Nora Bradford, Branda Sun, et al. 2022. Fantastic Questions and Where to Find Them: FairytaleQA--An Authentic Dataset for Narrative Comprehension. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). https://doi.org/10.18653/v1/2022.acl-long.34
[63]
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. 216--228. https://doi.org/10.1145/3392063.3394417
[64]
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. 1--13.
[65]
Ziqi Yang, Xuhai Xu, Bingsheng Yao, Ethan Rogers, Shao Zhang, Stephen Intille, Nawar Shara, Guodong Gordon Gao, and Dakuo Wang. 2024. Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 8, 2 (2024), 1--35.
[66]
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Li, Mo Yu, and Ying Xu. 2022. It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 731--744. https://doi.org/10.18653/v1/2022.acl-long.54
[67]
Kate Yen, Yeqi Chen, Yi Cheng, Sijin Chen, Ying-Yu Chen, Yiran Ni, and Alexis Hiniker. 2018. Joint media engagement between parents and preschoolers in the US, China, and Taiwan. Proceedings of the ACM on human-computer interaction, Vol. 2, CSCW (2018), 1--19.
[68]
Andrea A Zevenbergen and Grover J Whitehurst. 2003. Dialogic reading: A shared picture book reading intervention for preschoolers. On reading books to children: Parents and teachers, Vol. 177 (2003), 200.
[69]
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, and Toby Jia-Jun Li. 2022. Storybuddy: A human-ai collaborative chatbot for parent-child interactive storytelling with flexible parental involvement. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 1--21. https://doi.org/10.1145/3491102.3517479
[70]
Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, and Xiaojuan Ma. 2022. Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization. ACL'22 (2022).
[71]
Zhao Zhao and Rhonda McEwen. 2021. Luka Luka-investigating the interaction of children and their home Reading companion robot: A longitudinal remote study. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction. 141--143. https://doi.org/10.1145/3434074.3447146

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  • (2024)Collaborative Working and Critical Thinking: Adoption of Generative Artificial Intelligence Tools in Higher EducationSustainability10.3390/su1613536716:13(5367)Online publication date: 24-Jun-2024

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    cover image Proceedings of the ACM on Human-Computer Interaction
    Proceedings of the ACM on Human-Computer Interaction  Volume 8, Issue CSCW2
    CSCW
    November 2024
    5177 pages
    EISSN:2573-0142
    DOI:10.1145/3703902
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    Published: 08 November 2024
    Published in PACMHCI Volume 8, Issue CSCW2

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    Author Tags

    1. ai
    2. artificial intelligence
    3. interactive
    4. parents
    5. preschoolers
    6. storybook reading
    7. storytelling

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    • (2024)Collaborative Working and Critical Thinking: Adoption of Generative Artificial Intelligence Tools in Higher EducationSustainability10.3390/su1613536716:13(5367)Online publication date: 24-Jun-2024

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