Do clothes speak louder than words? Verbal and non-verbal communication cues in avatar–consumer interaction

随意的 心理学 服装 阿凡达 风格(视觉艺术) 社会心理学 背景(考古学) 调解 感觉线索 非语言交际 广告 互惠的 考试(生物学) 说服 社会关系 调解 消费者行为 认知心理学 计算机辅助通信 归属 社会影响力 原型(UML) 印象形成
作者
Meilian Liu,Ming Zhao,Xin Mao,Manjiao Zhang
出处
期刊:Journal of Research in Interactive Marketing [Emerald Publishing Limited]
卷期号:: 1-20
标识
DOI:10.1108/jrim-07-2025-0376
摘要

Purpose This study aims to investigate how avatar attire and conversational style jointly influence consumers' perceived artificial intelligence (AI) trust and purchase intentions, considering the moderating role of relationship orientation. Design/methodology/approach Three experimental studies (N = 1,070) were conducted. Study 1 tested the effects of avatar attire (professional vs. casual) and conversational style (competence- vs. warmth-oriented) on perceived AI trust and purchase intentions. Study 2 examined whether consumers' relationship orientation (communal vs. exchange) moderates the impact of attire. Study 3 employed a 2 (relationship orientation) × 2 (avatar attire) × 2 (conversational style) design to test the full moderated mediation model. Findings Avatars in professional attire elicit higher perceived trust and purchase intentions than casual attire. The effect of avatar attire and conversational-style interaction on perceived AI trust and purchase intentions depends on consumers' relationship orientation, rather than being driven solely by congruence. Professional attire is more persuasive in exchange-oriented contexts, whereas casual attire is more effective in communal contexts. Originality/value This research integrates the computers are social actors framework and the stereotype content model to clarify how visual appearance and communication style jointly shape consumer responses to AI avatars. The findings provide actionable guidance for designing virtual brand agents, highlighting the importance of aligning avatar appearance with communication style and relational context to enhance trust and purchase intentions in AI-mediated interactions.
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
orixero应助kinghead采纳,获得10
刚刚
伊梦阑珊发布了新的文献求助10
刚刚
1秒前
Ethan发布了新的文献求助20
1秒前
1秒前
开放盼夏发布了新的文献求助10
2秒前
白色梨花发布了新的文献求助10
2秒前
4秒前
阿会完成签到 ,获得积分10
4秒前
4秒前
zzz完成签到,获得积分10
6秒前
一念之间完成签到,获得积分10
8秒前
科研通AI6.1应助大气冰旋采纳,获得10
9秒前
科研通AI6.3应助kinghead采纳,获得10
9秒前
10秒前
Janely完成签到,获得积分10
16秒前
上班发布了新的文献求助10
16秒前
17秒前
王小帅ok完成签到,获得积分10
17秒前
yu完成签到 ,获得积分10
17秒前
drleslie完成签到 ,获得积分10
18秒前
000完成签到,获得积分10
18秒前
彭于晏应助暠月当空采纳,获得10
18秒前
脑洞疼应助健壮尔丝采纳,获得10
18秒前
科学家发布了新的文献求助10
21秒前
21秒前
xm完成签到,获得积分10
22秒前
000发布了新的文献求助30
22秒前
KK_ad完成签到,获得积分10
22秒前
24秒前
26秒前
Zjianwei完成签到,获得积分10
27秒前
李爱国应助Hazel采纳,获得10
27秒前
Owen应助八卦巧克力采纳,获得10
28秒前
chengzi完成签到,获得积分10
28秒前
暠月当空发布了新的文献求助10
28秒前
29秒前
29秒前
zhang005on完成签到,获得积分10
30秒前
30秒前
高分求助中
论现代体育科学研究的方法学特征 1000
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
Safety Pharmacology 500
《KNN基无铅压电陶瓷电学性能优化与物理机理研究》 500
A Handbook of User Experience Research & Design in Libraries 400
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 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6918235
求助须知:如何正确求助?哪些是违规求助? 8608852
关于积分的说明 18264939
捐赠科研通 6332143
什么是DOI,文献DOI怎么找? 3069153
关于科研通互助平台的介绍 2098217
邀请新用户注册赠送积分活动 2046365