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Computer Science > Human-Computer Interaction

arXiv:2402.12814 (cs)
[Submitted on 20 Feb 2024 (v1), last revised 22 Apr 2024 (this version, v3)]

Title:Exploring the Impact of AI Value Alignment in Collaborative Ideation: Effects on Perception, Ownership, and Output

Authors:Alicia Guo, Pat Pataranutaporn, Pattie Maes
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Abstract:AI-based virtual assistants are increasingly used to support daily ideation tasks. The values or bias present in these agents can influence output in hidden ways. They may also affect how people perceive the ideas produced with these AI agents and lead to implications for the design of AI-based tools. We explored the effects of AI agents with different values on the ideation process and user perception of idea quality, ownership, agent competence, and values present in the output. Our study tasked 180 participants with brainstorming practical solutions to a set of problems with AI agents of different values. Results show no significant difference in self-evaluation of idea quality and perception of the agent based on value alignment; however, ideas generated reflected the AI's values and feeling of ownership is affected. This highlights an intricate interplay between AI values and human ideation, suggesting careful design considerations for future AI-supported brainstorming tools.
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:2402.12814 [cs.HC]
  (or arXiv:2402.12814v3 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2402.12814

Submission history

From: Alicia Guo [view email]
[v1] Tue, 20 Feb 2024 08:33:03 UTC (1,719 KB)
[v2] Wed, 28 Feb 2024 23:33:30 UTC (1,719 KB)
[v3] Mon, 22 Apr 2024 06:48:06 UTC (5,574 KB)
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