In generative AI we trust: an exploratory study on dimensionality and structure of user trust in ChatGPT

维数之咒 计算机科学 生成语法 探索性研究 人工智能 心理学 社会学 社会科学
作者
Yue Zhang,Jiao Tian,Fengyi Deng
出处
期刊:Interacting with Computers [Oxford University Press]
标识
DOI:10.1093/iwc/iwaf029
摘要

Abstract The trust that users place in generative artificial intelligence (AI) can significantly influence their intentions and behaviors regarding its usage. Nonetheless, our current knowledge regarding user trust in generative AI is limited. To address this research gap, the study conducted semistructured interviews with 29 participants to investigate the factors that may influence user trust, using ChatGPT as an illustrative example. The findings led to the identification of several factors that account for user trust in ChatGPT. These factors encompass user-related aspects (such as technology attitude, innovativeness, and risk perception), information-related factors (including information source, information quality, and information values), technology-related factors (covering system quality, technology quality, and technology ethics), organization-related factors (encompassing organizational structure, brand reputation, and cultural context), and environment-related factors (involving policy environment, network environment, and social environment). In conclusion, the study formulated and presented the ChatGPT user trust framework as a theoretical model to comprehend user trust in generative AI. A thorough discussion of the framework is provided along with suggestions for future applications.

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
一一应助Jack Wong采纳,获得10
刚刚
风趣小蜜蜂完成签到,获得积分10
刚刚
汉堡包应助刘桔采纳,获得10
1秒前
ming完成签到,获得积分10
2秒前
2秒前
miao完成签到,获得积分10
4秒前
4秒前
huhu发布了新的文献求助10
5秒前
6秒前
7秒前
xiaozi完成签到 ,获得积分10
7秒前
木木彡完成签到 ,获得积分10
7秒前
zho发布了新的文献求助10
8秒前
8秒前
9秒前
zhtgang完成签到,获得积分10
9秒前
9秒前
10秒前
yu完成签到,获得积分10
11秒前
皮卡丘发布了新的文献求助10
11秒前
今后应助lili采纳,获得10
14秒前
海盐气泡水完成签到 ,获得积分10
14秒前
FR发布了新的文献求助10
14秒前
刘桔发布了新的文献求助10
15秒前
可爱的函函应助zyq采纳,获得10
15秒前
东十八发布了新的文献求助10
15秒前
Akim应助阿阳采纳,获得10
20秒前
123456驳回了乐乐应助
20秒前
24秒前
24秒前
24秒前
24秒前
小马甲应助子车采蓝采纳,获得10
24秒前
25秒前
25秒前
25秒前
pluto应助less12323采纳,获得10
25秒前
自信凤凰应助less12323采纳,获得10
25秒前
东十八完成签到,获得积分10
26秒前
27秒前
高分求助中
Mass producing individuality 600
Разработка метода ускоренного контроля качества электрохромных устройств 500
Chinesen in Europa – Europäer in China: Journalisten, Spione, Studenten 500
Arthur Ewert: A Life for the Comintern 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi // Kurt Werner Radtke 500
Two Years in Peking 1965-1966: Book 1: Living and Teaching in Mao's China // Reginald Hunt 500
Epigenetic Drug Discovery 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3823994
求助须知:如何正确求助?哪些是违规求助? 3366261
关于积分的说明 10439920
捐赠科研通 3085441
什么是DOI,文献DOI怎么找? 1697373
邀请新用户注册赠送积分活动 816347
科研通“疑难数据库(出版商)”最低求助积分说明 769584