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ExTra CTI: Explainable and Transparent Child-Technology Interaction

Published: 17 June 2024 Publication History

Abstract

When the technology encompasses some form of intelligence or agency in the form of robots, virtual agents or artificial intelligence, understanding the reasoning behind their actions and decisions becomes an integral part of the interaction. This challenge extends beyond mere interaction to ensure these technological entities engage with children in an understandable and transparent manner. Given the current emergence of research in explainability and transparency within human-robot interaction, a noticeable gap emerges when the target population shifts to children. Several challenges have contributed to this gap, including the more difficult job of considering children’s unique cognitive and emotional needs or aligning the complexity of the technology and the developmental stages of young users. As we advance the field through generating more effective explanations or transparent behaviours in robots and agents, transitioning these advancements to more child-centric contexts demands a deeper understanding of how children perceive and comprehend technological behaviours. This workshop explores this gap and how we could tackle the critical role of developing technologies, e.g., robots, AI, and toys that are more transparent and express more explainable behaviours. We aim to initiate discussions on the importance of understanding children’s perception of different technologies and approaches to generate and evaluate explainability features that are tailored for child users interacting with autonomous agents and robots. Simultaneously, we address the challenges inherent in this context, including potential biases in explainability and the risks associated with deception in child-technology interaction.

References

[1]
Tony Belpaeme, James Kennedy, Aditi Ramachandran, Brian Scassellati, and Fumihide Tanaka. 2018. Social robots for education: A review. Science robotics 3, 21 (2018), eaat5954.
[2]
Devleena Das, Siddhartha Banerjee, and Sonia Chernova. 2021. Explainable AI for robot failures: Generating explanations that improve user assistance in fault recovery. In Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction. 351–360.
[3]
Ikram Chraibi Kaadoud, Adrien Bennetot, Barbara Mawhin, Vicky Charisi, and Natalia Díaz-Rodríguez. 2022. Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI. Neural Networks 155 (2022), 95–118.
[4]
Parag Khanna, Elmira Yadollahi, Mårten Björkman, Iolanda Leite, and Christian Smith. 2023. Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration. In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 1829–1836.
[5]
Mike EU Ligthart, Mark A Neerincx, and Koen V Hindriks. 2020. Design patterns for an interactive storytelling robot to support children’s engagement and agency. In Proceedings of the 2020 ACM/IEEE international conference on human-robot interaction. 409–418.
[6]
Phoebe Lin, Jessica Van Brummelen, Galit Lukin, Randi Williams, and Cynthia Breazeal. 2020. Zhorai: Designing a conversational agent for children to explore machine learning concepts. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34. 13381–13388.
[7]
Tim Miller. 2019. Explanation in artificial intelligence: Insights from the social sciences. Artificial intelligence 267 (2019), 1–38.
[8]
Giulia Vilone and Luca Longo. 2020. Explainable Artificial Intelligence: a Systematic Review. arxiv:2006.00093 [cs.AI]
[9]
Elmira Yadollahi, Marta Couto, Pierre Dillenbourg, and Ana Paiva. 2022. Do children adapt their perspective to a robot when they fail to complete a task?. In Proceedings of the 21st Annual ACM Interaction Design and Children Conference. 341–351.
[10]
Elmira Yadollahi, Miguel Alexandre Monteiro, and Ana Paiva. 2023. Learning Spatial Reasoning in Virtual vs. Physical Games with Robots. In Proceedings of the 11th International Conference on Human-Agent Interaction. 162–170.

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Published In

cover image ACM Conferences
IDC '24: Proceedings of the 23rd Annual ACM Interaction Design and Children Conference
June 2024
1049 pages
ISBN:9798400704420
DOI:10.1145/3628516
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2024

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Author Tags

  1. Child-Computer Interaction
  2. Child-Robot Interaction
  3. Explainable Robotics
  4. Human-Centered Robot Explanations
  5. XAI

Qualifiers

  • Extended-abstract
  • Research
  • Refereed limited

Funding Sources

  • Swedish Foundation for Strategic Research
  • Vinnova Competence Center for Trustworthy Edge Computing Systems and Applications

Conference

IDC '24
Sponsor:
IDC '24: Interaction Design and Children
June 17 - 20, 2024
Delft, Netherlands

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Overall Acceptance Rate 172 of 578 submissions, 30%

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