What is it about?

Building on the theory of Social Facilitation, we conducted a series of three studies investigating the effect of perceived identity and conversational style of a smart chatbot on human-machine teamworking. We consistently saw human users tended to produce ideas with greater quantity and quality when they perceived the identity of their teamworking partner as a bot.

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Why is it important?

Recent work in the field actively looks into new potentials of human-computer interaction where computer-mediated agents serve as active interactants, instead of passive tools, and thus, teamworking with machines receives great interest from researchers. The present study adds to the line of research and raises the critical role of perceived identity in human-machine collaboration.

Perspectives

Under the context of creativity and idea generation, our study suggests an example where a non-anthropomorphic agent (i.e., being less humanoid) can also benefit teamworking with human users.

Angel Hsing-Chi Hwang
Cornell University

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This page is a summary of: IdeaBot: Investigating Social Facilitation in Human-Machine Team Creativity, May 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3411764.3445270.
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