WisCompanion: Integrating the Socratic Method with ChatGPT-Based AI for Enhanced Explainability in Emotional Support for Older Adults

Naome A. Etori; Maria Gini

doi:10.1007/978-3-031-60606-9_11

WisCompanion: Integrating the Socratic Method with ChatGPT-Based AI for Enhanced Explainability in Emotional Support for Older Adults

Naome A. Etori, Maria Gini

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

WisCompanion is a conversational artificial intelligence (AI) platform that merges the Socratic method with ChatGPT’s advanced prompting capabilities to provide tailored emotional support for older adults. This unique combination fosters critical thinking and engagement through iterative questioning, explicitly addressing older adults’ cognitive and emotional needs. This paper outlines a systematic approach for integrating a Socratic, ethical, and sensemaking AI framework with a chatGPT-based conversational AI tailored to older adults and trained on customized user data. WisCompanion delivers precise, context-aware explanations, fostering trust and transparency in AI interactions. Additionally, it supports lifelong learning. Our evaluations show significant improvements in user satisfaction with emotion support. Therefore, our results indicate that applying Socratic questioning techniques in conversational AI creates a dynamic and multi-layered dialogue structure. These techniques work in unison to foster a deeper understanding of the user’s perspectives, emotions, and experiences, thereby significantly enhancing the quality of AI-older adult interactions.

Original language	English (US)
Title of host publication	Artificial Intelligence in HCI - 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
Editors	Helmut Degen, Stavroula Ntoa
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	179-198
Number of pages	20
ISBN (Print)	9783031606052
DOIs	https://doi.org/10.1007/978-3-031-60606-9_11
State	Published - 2024
Event	5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th HCI International Conference, HCII 2024 - Washington, United States Duration: Jun 29 2024 → Jul 4 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14734 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th HCI International Conference, HCII 2024
Country/Territory	United States
City	Washington
Period	6/29/24 → 7/4/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

ChatGPT
Conversational AI
Explainable AI
Older adults
Prompting
Socratic method

Publisher link

10.1007/978-3-031-60606-9_11

Find It

Find It at U of M Libraries

Cite this

Etori, N. A., & Gini, M. (2024). WisCompanion: Integrating the Socratic Method with ChatGPT-Based AI for Enhanced Explainability in Emotional Support for Older Adults. In H. Degen, & S. Ntoa (Eds.), Artificial Intelligence in HCI - 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings (pp. 179-198). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14734 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-60606-9_11

WisCompanion: Integrating the Socratic Method with ChatGPT-Based AI for Enhanced Explainability in Emotional Support for Older Adults. / Etori, Naome A.; Gini, Maria.
Artificial Intelligence in HCI - 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. ed. / Helmut Degen; Stavroula Ntoa. Springer Science and Business Media Deutschland GmbH, 2024. p. 179-198 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14734 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Etori, NA & Gini, M 2024, WisCompanion: Integrating the Socratic Method with ChatGPT-Based AI for Enhanced Explainability in Emotional Support for Older Adults. in H Degen & S Ntoa (eds), Artificial Intelligence in HCI - 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14734 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 179-198, 5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th HCI International Conference, HCII 2024, Washington, United States, 6/29/24. https://doi.org/10.1007/978-3-031-60606-9_11

Etori NA, Gini M. WisCompanion: Integrating the Socratic Method with ChatGPT-Based AI for Enhanced Explainability in Emotional Support for Older Adults. In Degen H, Ntoa S, editors, Artificial Intelligence in HCI - 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 179-198. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-60606-9_11

Etori, Naome A. ; Gini, Maria. / WisCompanion : Integrating the Socratic Method with ChatGPT-Based AI for Enhanced Explainability in Emotional Support for Older Adults. Artificial Intelligence in HCI - 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. editor / Helmut Degen ; Stavroula Ntoa. Springer Science and Business Media Deutschland GmbH, 2024. pp. 179-198 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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