IntroBot: Exploring the Use of Chatbot-assisted Familiarization in Online Collaborative Groups

要旨

Many people gather online and form teams with strangers to collaborate on tasks. However, while intrateam trust and cohesion are critical for team performance, such characteristics take time to establish and are harder to build up through computer-mediated communication. Building on prior research that has shown that enhancing familiarity between members can help, we hypothesized that the use of a chatbot to support the familiarization of ad hoc teammates can help their collaboration. As such, we designed IntroBot, a chatbot that builds on an online discussion facilitator framework and leverages the social media data of users to assist their familiarization process. Through a between-subjects study (N=60), we found that participants who used IntroBot reported higher levels of trust, cohesion, and interaction quality, as well as generated more ideas in a collaborative brainstorming task. We discuss insights gained from our study, and present opportunities for the future of chatbot-assisted collaboration.

著者
Donghoon Shin
University of Washington, Seattle, Washington, United States
Soomin Kim
Seoul National University, Seoul, Korea, Republic of
Ruoxi Shang
University of Washington, Seattle, Washington, United States
Joonhwan Lee
Seoul National University, Seocho-gu, Seoul, Korea, Republic of
Gary Hsieh
University of Washington, Seattle, Washington, United States
論文URL

https://doi.org/10.1145/3544548.3580930

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Remote Work and Collaboration

Room Y03+Y04
6 件の発表
2023-04-27 01:35:00
2023-04-27 03:00:00