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A new health care system enabled by machine intelligence: Elderly people's trust or losing self control

Shareef, Mahmud Akhter and Kumar, Vinod and Dwivedi, Yogesh K and Kumar, Uma and Akram, Muhammad Shakaib and Raman, Ramakrishnan (2021) 'A new health care system enabled by machine intelligence: Elderly people's trust or losing self control.' Technological Forecasting and Social Change, 162. p. 120334. ISSN 0040-1625

TFSC accepted paper Sep 18, 2020.pdf - Accepted Version
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An autonomous homecare system can ensure independence for elderly people and increase cooperation, social interaction, and adaptation. Widespread diffusion and inclusion of information and communication technology (ICT) in modern equipment has advanced the concept of machine autonomy. This study seeks to understand the effect of trust required for elderly people to accept autonomous homecare systems instead of human support. It attempts to reveal how trust and personal characteristics can increase intent to adopt an autonomous system. In this regard, different trust models and literature on human psychology to adopt ICT driven system are explored and analyzed to develop a parsimonious trust disposition model for autonomous system. The study was conducted among elderly and disabled people in retirement homes and rehabilitation centers of different major cities of Ontario, Canada through random sampling by employing both experiment and survey. In the first phase, a structured and designed experiment was conducted in three retirement homes which included 159 elderly people and in two rehabilitation centers which included 20 disabled people. Then a survey-based empirical study was conducted among the same people with the structured questionnaire to answer the questions based on their perceptions of both receiving service from human beings and viewing the video about an autonomous system governed by ambient intelligence. This study reveals that elderly people can be motivated to develop trust in this less-familiar system if they both believe they can operate it and find a sense of belongingness and feelings of social interactivity from this seemingly living machine system. The findings of this study provide clear direction for academics and practitioners. This research indicates that elderly people must have control on using any system in the absence of human support while maintaining a more solitary life in a retirement home. However, the system must be easy to learn and operate. It should also be designed in such a way that can create and impart social feelings.

Item Type: Article
Additional Information: Human behavior Ambient intelligence
Uncontrolled Keywords: Autonomous homecare system; Adoption behavior; Trust; Behavioral intention; Elderly people
Divisions: Faculty of Social Sciences
Faculty of Social Sciences > Essex Business School
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 05 Oct 2020 07:32
Last Modified: 18 Mar 2022 02:00

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