What if you have a humanoid AI robot doctor?: An investigation of public trust in South Korea

仿人机器人 预测(人工智能) 机器人 医疗保健 数据收集 心理学 护理部 患者满意度 考试(生物学) 互联网隐私 医学教育 医学 应用心理学 人工智能 计算机科学 政治学 统计 古生物学 数学 法学 生物
作者
Do Kyun Kim,Sejin Kim
出处
期刊:Journal of communication in healthcare [Informa]
卷期号:15 (4): 276-285 被引量:6
标识
DOI:10.1080/17538068.2021.1994825
摘要

Background Humanoid robots with artificial intelligence have been implemented in many healthcare facilities including hospitals, nursing homes, and many others. Due to the development of technology and the increasing use of humanoid robots, it is expected that more advanced humanoid robots will be developed and implemented in healthcare facilities for better healthcare services. Based on this anticipation, this study proactively examined the public trust in humanoid AI robot (HAIR) doctors that we might have in the near future.Methods This study employed two scales that have been predominantly used to measure patient-doctor trust through an extensive search across different scholarships. For data collection, online surveys were administered by posting a weblink to the online survey through social media, mostly Facebook, Twitter, and KakaoTalk, in South Korea.Results Data analysis of 424 valid surveys found that the level of public trust in HAIR doctors as primary doctors was slightly higher than human doctors. For the data analysis using demographic variables, a series of t-test and ANOVA revealed that males showed a higher trust in HAIR doctors than females, while maintaining indifference in other demographic variables.Conclusion Based on the rapid development of AI and robot technology, the implementation of HAIR doctors for our healthcare service would be a reality in the near future as the public also becomes more familiar with interacting with humanoid robots. Therefore, a proactive preparation for the future is urgently needed for effective use of future technology as well as patients' satisfaction.
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
Bailey完成签到,获得积分10
1秒前
SciGPT应助Ban采纳,获得10
1秒前
srandrs发布了新的文献求助10
2秒前
3秒前
惊嵐应助XShu采纳,获得30
3秒前
六六发布了新的文献求助10
5秒前
迟大猫应助欣喜采纳,获得10
5秒前
积极问晴发布了新的文献求助10
5秒前
6秒前
可爱的函函应助THFA采纳,获得10
7秒前
Lazarus发布了新的文献求助10
8秒前
星辰完成签到,获得积分10
8秒前
lifangqi完成签到,获得积分10
10秒前
田様应助srandrs采纳,获得10
13秒前
wyx完成签到,获得积分10
14秒前
李健应助lifangqi采纳,获得10
14秒前
江北发布了新的文献求助10
15秒前
七月完成签到,获得积分10
16秒前
科研通AI5应助的的墨采纳,获得10
17秒前
18秒前
T_MC郭完成签到,获得积分10
19秒前
20秒前
江河不可停完成签到,获得积分10
20秒前
Y.fan完成签到 ,获得积分10
20秒前
21秒前
jwb711发布了新的文献求助10
23秒前
深情安青应助积极问晴采纳,获得10
24秒前
芹菜煎蛋发布了新的文献求助10
24秒前
25秒前
26秒前
royan2完成签到,获得积分10
26秒前
rebeccahu应助asdfqwer采纳,获得10
27秒前
28秒前
英俊的铭应助jwb711采纳,获得10
28秒前
28秒前
29秒前
30秒前
丸子完成签到,获得积分10
31秒前
32秒前
科研小崽发布了新的文献求助10
32秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
Dynamika przenośników łańcuchowych 600
Recent progress and new developments in post-combustion carbon-capture technology with reactive solvents 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3538611
求助须知:如何正确求助?哪些是违规求助? 3116370
关于积分的说明 9324948
捐赠科研通 2814129
什么是DOI,文献DOI怎么找? 1546497
邀请新用户注册赠送积分活动 720575
科研通“疑难数据库(出版商)”最低求助积分说明 712086