Paper Type
Complete
Paper Number
1176
Description
As artificial intelligence (AI) technology continues to advance, there is a growing trend of users collaborating with virtual agents in various creative tasks like brainstorming. This study investigates how virtual agent gender cues affect user idea generation and selection in one-on-one human-AI collaborative brainstorming. Although we did not find any significant impacts of virtual agent gender cues on the quality of ideas generated by users, this research revealed that users tend to select more ideas from gendered virtual agents compared to non-gendered ones. Perceived similarity was found to mediate the relationship between virtual agent gender cues (non-gendered vs. male vs. female) and user idea selection behaviors. We did not find any significant differences in the number of selected ideas when users collaborated with male or female virtual agents. Our study provides theoretical and practical guidance for researchers and practitioners to design gender cues for virtual agents in human-AI collaborative brainstorming.
Recommended Citation
Wang, Siran; Claudy, Marius; and Yan, Qiang, "Collaborating with AI in Brainstorming: How Gender Cues of Virtual Agents Affect User Idea Generation and Selection" (2024). PACIS 2024 Proceedings. 1.
https://aisel.aisnet.org/pacis2024/track13_hcinteract/track13_hcinteract/1
Collaborating with AI in Brainstorming: How Gender Cues of Virtual Agents Affect User Idea Generation and Selection
As artificial intelligence (AI) technology continues to advance, there is a growing trend of users collaborating with virtual agents in various creative tasks like brainstorming. This study investigates how virtual agent gender cues affect user idea generation and selection in one-on-one human-AI collaborative brainstorming. Although we did not find any significant impacts of virtual agent gender cues on the quality of ideas generated by users, this research revealed that users tend to select more ideas from gendered virtual agents compared to non-gendered ones. Perceived similarity was found to mediate the relationship between virtual agent gender cues (non-gendered vs. male vs. female) and user idea selection behaviors. We did not find any significant differences in the number of selected ideas when users collaborated with male or female virtual agents. Our study provides theoretical and practical guidance for researchers and practitioners to design gender cues for virtual agents in human-AI collaborative brainstorming.
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