Member’s performance in human–AI hybrid teams: a perspective of adaptability theory

适应性 透视图(图形) 计算机科学 心理学 社会学 人工智能 管理 经济
作者
Aihui Chen,Anran Lyu,Yaobin Lu
出处
期刊:Information Technology & People [Emerald (MCB UP)]
被引量:2
标识
DOI:10.1108/itp-05-2023-0513
摘要

Purpose As human–AI hybrid teams become more common, it is essential for team members to interact effectively with artificial intelligence (AI) to complete tasks successfully. The integration of AI into the team environment alters the cooperative dynamics, prompting inquiry into how the design characteristics of AI impact the working mode and individual performance. Despite the significance of this issue, the effects of AI design on team dynamics and individual performance have yet to be fully explored. Design/methodology/approach Drawing upon coping theory, this study presents a research model aimed at elucidating how the characteristics of AI in human–AI interaction influence human members’ adaptive behavior, subsequently impacting individual performance. Through the creation of experiments that require human–AI collaboration to solve problems, we observe and measure various aspects of AI performance and human adaptation. Findings We observe that the explainability of AI enhances the behavioral adaptation of human team members, whereas the usability and intellectuality of AI improve their cognitive adaptation. Additionally, we find that human team members’ affective adaptation is negatively affected by the likability of AI. Our findings demonstrate that both behavioral and cognitive adaptations positively impact individual performance, whereas affective adaptation negatively impacts it. Practical implications Our research findings provide recommendations for building efficient human–AI hybrid teams and insights for the design and optimization of AI. Originality/value Overall, these results offer insights into the adaptive behavior of humans in human–AI interaction and provide recommendations for the establishment of effective human–AI hybrid teams. These findings pioneer an understanding of how design characteristics of AI impact team dynamics and individual performance, establishing a connection between AI attributes and human adaptive behavior.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Owen应助SUNYAOSUNYAO采纳,获得10
刚刚
刚刚
思源应助XIEQ采纳,获得10
刚刚
紫杉罗罗完成签到,获得积分10
刚刚
FashionBoy应助健忘的板凳采纳,获得10
1秒前
123完成签到,获得积分10
1秒前
盒子发布了新的文献求助10
1秒前
1秒前
zbs发布了新的文献求助20
1秒前
uracil97完成签到,获得积分10
1秒前
Truman发布了新的文献求助10
1秒前
1秒前
科研通AI6应助螺蛳粉采纳,获得10
2秒前
3秒前
3秒前
3秒前
3秒前
月华完成签到,获得积分20
4秒前
4秒前
冷静的依瑶完成签到,获得积分10
4秒前
乐乐应助没烦恼采纳,获得10
5秒前
科研通AI6应助郁离子采纳,获得30
5秒前
5秒前
Sun完成签到,获得积分10
5秒前
7秒前
科研通AI6应助qmx采纳,获得10
7秒前
7秒前
8秒前
文艺裘发布了新的文献求助10
8秒前
Sheya完成签到 ,获得积分20
8秒前
LL发布了新的文献求助30
9秒前
9秒前
陆程文发布了新的文献求助10
9秒前
e746700020发布了新的文献求助10
9秒前
9秒前
智障猫发布了新的文献求助10
10秒前
10秒前
lin发布了新的文献求助10
10秒前
田様应助刘雨森采纳,获得10
10秒前
保奔发布了新的文献求助10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
The Victim–Offender Overlap During the Global Pandemic: A Comparative Study Across Western and Non-Western Countries 1000
King Tyrant 720
Sport, Social Media, and Digital Technology: Sociological Approaches 650
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5593014
求助须知:如何正确求助?哪些是违规求助? 4678980
关于积分的说明 14807525
捐赠科研通 4642972
什么是DOI,文献DOI怎么找? 2534233
邀请新用户注册赠送积分活动 1502316
关于科研通互助平台的介绍 1469293