I am Robot, Your Health Adviser for Older Adults: Do You Trust My Advice?

建议(编程) 机器人 背景(考古学) 心理学 代理(统计) 人机交互 互联网隐私 人工智能 应用心理学 计算机科学 生物 机器学习 古生物学 程序设计语言
作者
Ioanna Giorgi,Aniello Minutolo,Francesca Ausilia Tirotto,Oksana Hagen,Massimo Esposito,Mario Gianni,Marco A. Palomino,Giovanni Luca Masala
出处
期刊:International Journal of Social Robotics [Springer Nature]
被引量:3
标识
DOI:10.1007/s12369-023-01019-8
摘要

Abstract Artificial intelligence and robotic solutions are seeing rapid development for use across multiple occupations and sectors, including health and social care. As robots grow more prominent in our work and home environments, whether people would favour them in receiving useful advice becomes a pressing question. In the context of human–robot interaction (HRI), little is known about people’s advice-taking behaviour and trust in the advice of robots. To this aim, we conducted an experimental study with older adults to measure their trust and compliance with robot-based advice in health-related situations. In our experiment, older adults were instructed by a fictional human dispenser to ask a humanoid robot for advice on certain vitamins and over-the-counter supplements supplied by the dispenser. In the first experimented condition, the robot would give only information-type advice , i.e., neutral informative advice on the supplements given by the human. In the second condition, the robot would give recommendation-type advice , i.e., advice in favour of more supplements than those suggested initially by the human. We measured the trust of the participants in the type of robot-based advice, anticipating that they would be more trusting of information-type advice. Moreover, we measured the compliance with the advice, for participants who received robot-based recommendations, and a closer proxy of the actual use of robot health advisers in home environments or facilities in the foreseeable future. Our findings indicated that older adults continued to trust the robot regardless of the type of advice received, highlighting a type of protective role of robot-based recommendations on their trust. We also found that higher trust in the robot resulted in higher compliance with its advice. The results underpinned the likeliness of older adults welcoming a robot at their homes or health facilities.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
zero完成签到 ,获得积分10
2秒前
Bey发布了新的文献求助10
8秒前
10秒前
Jocelyn发布了新的文献求助10
11秒前
正直自行车完成签到,获得积分10
11秒前
Emma完成签到,获得积分10
12秒前
12秒前
shensir发布了新的文献求助10
13秒前
13秒前
英俊的铭应助bin采纳,获得10
13秒前
LHC发布了新的文献求助10
14秒前
15秒前
Emma发布了新的文献求助10
16秒前
周二完成签到 ,获得积分10
16秒前
Owen应助lynn采纳,获得10
16秒前
wertyt完成签到,获得积分10
16秒前
岑夜南发布了新的文献求助10
18秒前
某某发布了新的文献求助10
19秒前
阿巴阿巴发布了新的文献求助10
21秒前
jimmy完成签到,获得积分10
22秒前
科研通AI2S应助shensir采纳,获得10
25秒前
学不动了完成签到,获得积分10
26秒前
tannie完成签到 ,获得积分10
26秒前
27秒前
带头大哥应助科研通管家采纳,获得50
27秒前
酷波er应助科研通管家采纳,获得10
27秒前
genomed应助科研通管家采纳,获得10
27秒前
30秒前
xie老板完成签到,获得积分10
30秒前
可可可可完成签到,获得积分10
31秒前
31秒前
limz完成签到,获得积分10
31秒前
子不语发布了新的文献求助10
33秒前
zmk发布了新的文献求助10
34秒前
苍蓝所栖完成签到 ,获得积分10
36秒前
大模型应助dhdafwet采纳,获得10
38秒前
39秒前
桐桐应助认真学习采纳,获得10
40秒前
40秒前
41秒前
高分求助中
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
Manual of Sewer Condition Classification 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3122894
求助须知:如何正确求助?哪些是违规求助? 2773232
关于积分的说明 7717074
捐赠科研通 2428741
什么是DOI,文献DOI怎么找? 1289999
科研通“疑难数据库(出版商)”最低求助积分说明 621678
版权声明 600188