Less Artificial, More Intelligent: Understanding Affinity, Trustworthiness, and Preference for Digital Humans

偏爱 可信赖性 计算机科学 人工智能 数据科学 知识管理 人机交互 心理学 互联网隐私 微观经济学 经济
作者
Mike Seymour,Lingyao Yuan,Kai Riemer,Alan R. Dennis
出处
期刊:Information Systems Research [Institute for Operations Research and the Management Sciences]
卷期号:36 (2): 1096-1128 被引量:47
标识
DOI:10.1287/isre.2022.0203
摘要

Practice- and policy-oriented abstract: Companies are increasingly deploying highly realistic digital human agents (DHAs) controlled by advanced AI for online customer service, tasks typically handled by chatbots. We conducted four experiments to assess users’ perceptions (trustworthiness, affinity, and willingness to work with) and behaviors while using DHAs, utilizing quantitative surveys, qualitative interviews, direct observations, and neurophysiological measurements. Our studies involved four DHAs, including two commercial products (found to be immature) and two future-focused ones (where participants believed the AI-controlled DHAs were human-controlled). In the first study, comparing perceptions of a DHA, chatbot, and human agent from descriptions revealed few differences between the DHA and chatbot. The second study, involving actual use of a commercial DHA, showed participants found it uncanny, robotic, or difficult to converse with. The third and fourth studies used a “Wizard of Oz” design, with participants believing a human-controlled DHA was AI-driven. Results showed a preference for human agents via video conferencing, but no significant differences between DHAs and human agents when visual fidelity was controlled. Current DHAs, despite communication issues, trigger more affinity than chatbots. When DHAs match human communication abilities, they are perceived similarly to human agents for simple tasks. This research also suggests DHAs may alleviate algorithm aversion.
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
斯文败类应助发一篇sci采纳,获得10
刚刚
oldjeff完成签到,获得积分10
1秒前
2秒前
shi发布了新的文献求助30
2秒前
领导范儿应助KBRS采纳,获得10
3秒前
红叶再开应助qingtian采纳,获得10
3秒前
4秒前
郭郭完成签到 ,获得积分10
4秒前
4秒前
GEM发布了新的文献求助10
4秒前
5秒前
Shinichi应助请叫我女侠采纳,获得10
5秒前
天天快乐应助YYT采纳,获得10
6秒前
yabi发布了新的文献求助10
7秒前
CodeCraft应助wg采纳,获得10
7秒前
柒八染发布了新的文献求助10
8秒前
8秒前
机智宛亦完成签到,获得积分20
8秒前
9秒前
9秒前
光亮的代云完成签到,获得积分10
10秒前
10秒前
Akim应助GEM采纳,获得10
10秒前
xh发布了新的文献求助10
10秒前
11秒前
jie发布了新的文献求助10
12秒前
小电驴完成签到,获得积分10
13秒前
小红salin发布了新的文献求助10
13秒前
华仔应助鹓鹓采纳,获得10
13秒前
茉莉花发布了新的文献求助10
14秒前
赘婿应助BioRick采纳,获得10
14秒前
机智宛亦发布了新的文献求助10
15秒前
zcll2018完成签到,获得积分20
15秒前
5km发布了新的文献求助10
15秒前
鸭子兔发布了新的文献求助20
17秒前
英俊的铭应助KBRS采纳,获得10
18秒前
18秒前
18秒前
东方元语应助xh采纳,获得20
19秒前
Orange应助甜美乘云采纳,获得10
19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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7604078
求助须知:如何正确求助?哪些是违规求助? 9179868
关于积分的说明 19660451
捐赠科研通 7179236
什么是DOI,文献DOI怎么找? 3269251
关于科研通互助平台的介绍 2433351
邀请新用户注册赠送积分活动 2263331