Who/What Is My Teammate? Team Composition Considerations in Human–AI Teaming

团队构成 认知 情境伦理学 团队效能 形势意识 心理学 作文(语言) 心理安全 知识管理 应用心理学 计算机科学 社会心理学 工程类 语言学 哲学 航空航天工程 神经科学
作者
Nathan J. McNeese,Beau G. Schelble,Lorenzo Barberis Canonico,Mustafa Demir
出处
期刊:IEEE Transactions on Human-Machine Systems [Institute of Electrical and Electronics Engineers]
卷期号:51 (4): 288-299 被引量:57
标识
DOI:10.1109/thms.2021.3086018
摘要

There are many unknowns regarding the characteristics and dynamics of human-AI teams, including a lack of understanding of how certain human-human teaming concepts may or may not apply to human-AI teams and how this composition affects team performance. This article outlines an experimental research study that investigates essential aspects of human-AI teaming such as team performance, team situation awareness, and perceived team cognition in various mixed composition teams (human-only, human-human-AI, human-AI-AI, and AI-only) through a simulated emergency response management scenario. Results indicate dichotomous outcomes regarding perceived team cognition and performance metrics, as perceived team cognition was not predictive of performance. Performance metrics like team situational awareness and team score showed that teams composed of all human participants performed at a lower level than mixed human-AI teams, with the AI-only teams attaining the highest performance. Perceived team cognition was highest in human-only teams, with mixed composition teams reporting perceived team cognition 58% below the all-human teams. These results inform future mixed teams of the potential performance gains in utilizing mixed teams' over human-only teams in certain applications, while also highlighting mixed teams' adverse effects on perceived team cognition.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
orixero应助想做一株草采纳,获得10
1秒前
花花世界完成签到 ,获得积分10
1秒前
xpqiu完成签到,获得积分10
1秒前
cczz完成签到,获得积分20
3秒前
拼搏绿柳完成签到,获得积分10
4秒前
彭于晏应助干净的雪一采纳,获得10
5秒前
香蕉觅云应助cczz采纳,获得10
7秒前
加墨完成签到,获得积分20
8秒前
Hello应助胡图图采纳,获得10
8秒前
kento完成签到,获得积分20
8秒前
9秒前
天天快乐应助cathy采纳,获得10
10秒前
alan发布了新的文献求助10
10秒前
田様应助科研通管家采纳,获得10
13秒前
CipherSage应助科研通管家采纳,获得10
13秒前
慕青应助科研通管家采纳,获得10
13秒前
英姑应助科研通管家采纳,获得10
13秒前
13秒前
南宫迎松应助科研通管家采纳,获得10
13秒前
江峰应助科研通管家采纳,获得10
13秒前
江峰应助科研通管家采纳,获得10
13秒前
打打应助科研通管家采纳,获得30
13秒前
科研通AI2S应助科研通管家采纳,获得10
13秒前
所所应助科研通管家采纳,获得30
13秒前
14秒前
云青完成签到,获得积分10
15秒前
Lin发布了新的文献求助10
15秒前
海城好人完成签到,获得积分10
18秒前
19秒前
现实的大白完成签到 ,获得积分10
21秒前
21秒前
Dongbalal完成签到,获得积分10
21秒前
皮蛋瘦肉完成签到,获得积分10
22秒前
嘎嘎的鸡神完成签到,获得积分10
24秒前
alan完成签到,获得积分10
24秒前
25秒前
cczz发布了新的文献求助10
26秒前
乐乐应助kento采纳,获得30
26秒前
27秒前
高分求助中
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 1000
지식생태학: 생태학, 죽은 지식을 깨우다 600
Mantodea of the World: Species Catalog Andrew M 500
海南省蛇咬伤流行病学特征与预后影响因素分析 500
Neuromuscular and Electrodiagnostic Medicine Board Review 500
ランス多機能化技術による溶鋼脱ガス処理の高効率化の研究 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3464245
求助须知:如何正确求助?哪些是违规求助? 3057540
关于积分的说明 9057583
捐赠科研通 2747637
什么是DOI,文献DOI怎么找? 1507432
科研通“疑难数据库(出版商)”最低求助积分说明 696553
邀请新用户注册赠送积分活动 696083