The Care-Dependent are Less Averse to Care Robots: An Empirical Comparison of Attitudes

Author:

Schönmann ManuelaORCID,Bodenschatz Anja,Uhl Matthias,Walkowitz Gari

Abstract

AbstractA growing gap is emerging between the supply of and demand for professional caregivers, not least because of the ever-increasing average age of the world’s population. One strategy to address this growing gap in many regions is the use of care robots. Although there have been numerous ethical debates about the use of robots in nursing and elderly care, an important question remains unexamined: how do the potential recipients of such care perceive situations with care robots compared to situations with human caregivers? Using a large-scale experimental vignette study, we investigated people’s affective attitudes toward care robots. Specifically, we studied the influence of the caregiver’s nature on participants’ perceived comfort levels when confronted with different care scenarios in nursing homes. Our results show that the care-robot-related views of actual care recipients (i.e., people who are already affected by care dependency) differ substantially from the views of people who are not affected by care dependency. Those who do not (yet) rely on care placed care robots’ value far below that of human caregivers, especially in a service-oriented care scenario. This devaluation was not found among care recipients, whose perceived level of comfort was not influenced by the caregiver’s nature. These findings also proved robust when controlled for people’s gender, age, and general attitudes toward robots.

Funder

Bavarian Research Institute for Digital Transformation

Technische Hochschule Ingolstadt

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Human-Computer Interaction,Philosophy,Electrical and Electronic Engineering,Control and Systems Engineering,Social Psychology

Reference91 articles.

1. OECD (2019) Health at a glance 2019: OECD indicators. OECD Publishing, Paris

2. United Nations (2020) Department of Economic and Social Affairs, Population Division (2020) World Population Ageing 2019. ST/ESA/SER.A/444, New York

3. World Health Organization (2015) World report on ageing and health. World Health Organization, Geneva

4. South-Paul JE, Matheny SC, Lewis EL (2020) CURRENT diagnosis & treatment: family medicine, 5th edn. McGraw-Hill Education, New York

5. Koskinen S, Salminen L, Stolt M et al (2015) The education received by nursing students regarding nursing older people: a scoping literature review. Scand J Caring Sci 29:15–29. https://doi.org/10.1111/scs.12135

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3