聊天机器人
头脑风暴
促进者
凝聚力(化学)
计算机科学
任务(项目管理)
人气
过程(计算)
万维网
心理学
知识管理
社会心理学
工程类
人工智能
操作系统
有机化学
化学
系统工程
作者
Dong-Hoon Shin,Soomin Kim,Ruoxi Shang,Joonhwan Lee,Gary Hsieh
标识
DOI:10.1145/3544548.3580930
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI