Why So Serious? Exploring Timely Humorous Comments in AAC Through AI-Powered Interfaces

要旨

People with disabilities that affect their speech may use speech-generating devices (SGD), commonly referred to as Augmentative and Alternative Communication (AAC) technology. This technology enables practical conversation; however, delivering expressive and timely comments remains challenging. This paper explores how to extend AAC technology to support a subset of humorous expressions: delivering timely humorous comments -witty remarks- through AI-powered interfaces. To understand the role of humor in AAC and the challenges and experiences of delivering humor with AAC, we conducted seven qualitative interviews with AAC users. Based on these insights and the lead author's firsthand experience as an AAC user, we designed four AI-powered interfaces to assist in delivering well-timed humorous comments during ongoing conversations. Our user study with five AAC users found that when timing is critical (e.g., delivering a humorous comment), AAC users are willing to trade agency for efficiency—contrasting prior research where they hesitated to delegate decision-making to AI. We conclude by discussing the trade-off between agency and efficiency in AI-powered interfaces, how AI can shape user intentions, and offer design recommendations for AI-powered AAC interfaces. See our project and demo at: https://tobiwg.github.io/research/why_so_serious

受賞
Honorable Mention
著者
Tobias M. Weinberg
Cornell Tech, New york, New York, United States
Kowe Kadoma
Cornell University, New York, New York, United States
Ricardo E.. Gonzalez Penuela
Cornell Tech, Cornell University, New York, New York, United States
Stephanie Valencia
University of Maryland College Park, College Park, Maryland, United States
Thijs Roumen
Cornell Tech, New York, New York, United States
DOI

10.1145/3706598.3714102

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714102

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Multimodal Interaction

G302
7 件の発表
2025-04-30 18:00:00
2025-04-30 19:30:00
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