Human-AI interaction research agenda: A user-centered perspective

Tingting Jiang , Zhumo Sun , Shiting Fu , Yan Lv
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引用次数: 0

Abstract

The rapid growth of artificial intelligence (AI) has given rise to the field of Human-AI Interaction (HAII). This study meticulously reviewed the research themes, theoretical foundations, and methodological frameworks of the HAII field, aiming to construct a comprehensive overview of this field and provide robust support for future investigations. HAII research themes include human-AI collaboration, competition, conflict, and symbiosis. Theories drawn from communication, psychology, and sociology support these studies, while the employed methods include both self-reporting and observational approaches commonly utilized in user studies. It is suggested that future research should broaden its focus to encompass diverse user groups, AI roles, and tasks. Moreover, it is necessary to develop multi-disciplinary theories and integrate multi-level research methods to support the sustained development of the field. This study not only furnishes indispensable theoretical and practical insights for forthcoming research endeavors but also catalyzes the realization of a future distinguished by seamless interaction between humans and AI.
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人机交互研究议程:以用户为中心的视角
人工智能(AI)的快速发展催生了人机交互(HAII)领域。本研究对HAII领域的研究主题、理论基础和方法框架进行了细致的梳理,旨在构建该领域的全面概述,为未来的研究提供有力的支持。HAII的研究主题包括人类与人工智能的合作、竞争、冲突和共生。来自传播学、心理学和社会学的理论支持这些研究,而所采用的方法包括用户研究中常用的自我报告和观察方法。建议未来的研究应扩大其重点,以涵盖不同的用户群体、人工智能角色和任务。需要发展多学科的理论,整合多层次的研究方法,以支持该领域的持续发展。这项研究不仅为未来的研究工作提供了不可或缺的理论和实践见解,而且还催化了人类与人工智能之间无缝交互的未来的实现。
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来源期刊
Data and information management
Data and information management Management Information Systems, Library and Information Sciences
CiteScore
3.70
自引率
0.00%
发文量
0
审稿时长
55 days
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