AI-assisted sensemaking: Human-AI collaboration for the analysis and interpretation of recorded facilitated conversations
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3706599.3706688.pdf
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2.12 MB
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Author(s)
Kabbara, Jad
Phan, Thanh-Mai
Rakhilin, Marina
Detwiller, Maya
Dimitrakopoulou, Dimitra
Roy, Deb
Date Issued
April 25, 2025
Publisher
ACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
Citation
Jad Kabbara, Thanh-Mai Phan, Marina Rakhilin, Maya E Detwiller, Dimitra Dimitrakopoulou, and Deb Roy. 2025. AI-assisted sensemaking: Human-AI collaboration for the analysis and interpretation of recorded facilitated conversations. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25). Association for Computing Machinery, New York, NY, USA, Article 655, 1–8.
Version
Final published version
Abstract
In light of growing toxic polarization and societal fragmentation often fueled by social media, we are designing alternative communication spaces we refer to as dialogue networks—networks of people engaged in recorded small-group prompted dialogue. We introduce the dialogue network framework and our use of tools powered by large language models that assist humans in the analysis and interpretation of themes and patterns across conversations which we refer to as sensemaking. We pilot case studies in collaboration with community partners using a prototype AI-assisted sensemaking tool. Insights from these pilots can inform the use of AI for human-led community engagement processes.
Description
CHI EA ’25, Yokohama, Japan
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1145/3706599.3706688
