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Published in: International Journal of Social Robotics 4/2021

27-05-2020

Socially Assistive Robots, Older Adults and Research Ethics: The Case for Case-Based Ethics Training

Authors: Linda Battistuzzi, Chris Papadopoulos, Tetiana Hill, Nina Castro, Barbara Bruno, Antonio Sgorbissa

Published in: International Journal of Social Robotics | Issue 4/2021

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Abstract

Most studies on socially assistive robots (SARs) in elder care are conducted in care homes and recruit participants with some degree of cognitive impairment. The ethical dimension in these studies thus requires careful attention, suggesting that the researchers involved should be offered specific research ethics training. To meet this need in CARESSES—an international multidisciplinary project that aims to design and evaluate the first culturally competent SAR for the care of older adults—a research ethics training module for the project researchers was developed. The training module is largely based on case-based learning (CBL), a widely recognized approach to learning and instruction that is regarded as highly effective across multiple disciplines. In this paper, we argue that research ethics training should be offered to robotics investigators involved in research on SARs in elder care, and we provide an overview of the ethical issues involved in conducting research with SARs and older adults in care homes. Finally, we show how CBL can be used for research ethics training in this context.

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Footnotes
1
Ethical sensitivity refers to the ability to identify an ethical issue and understand the consequences of decisions made to solve or manage that issue.
 
2
The project involves researchers from Italy, the UK, France, Sweden and Japan, caressesrobot.org.
 
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Metadata
Title
Socially Assistive Robots, Older Adults and Research Ethics: The Case for Case-Based Ethics Training
Authors
Linda Battistuzzi
Chris Papadopoulos
Tetiana Hill
Nina Castro
Barbara Bruno
Antonio Sgorbissa
Publication date
27-05-2020
Publisher
Springer Netherlands
Published in
International Journal of Social Robotics / Issue 4/2021
Print ISSN: 1875-4791
Electronic ISSN: 1875-4805
DOI
https://doi.org/10.1007/s12369-020-00652-x

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