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    Socially assistive robots, older adults and research ethics: the case for case-based ethics training

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    Authors
    Battistuzzi, Linda
    Papadopoulos, Chris
    Hill, Tetiana
    Castro, Nina
    Bruno, Barbara
    Sgorbissa, Antonio
    Issue Date
    2020-05-27
    Subjects
    robot ethics
    Pepper
    elder care
    ethics training
    socially assistive robot
    case-based learning
    
    Metadata
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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.
    Citation
    Battistuzzi L, Papadopoulos C, Hill T, Castro N, Bruno B, Sgorbissa A (2020) 'Socially assistive robots, older adults and research ethics: the case for case-based ethics training', International Journal of Social Robotics, 13 (), pp.647-659.
    Publisher
    Springer
    Journal
    International Journal of Social Robotics
    URI
    http://hdl.handle.net/10547/624380
    DOI
    10.1007/s12369-020-00652-x
    Additional Links
    https://link.springer.com/article/10.1007/s12369-020-00652-x
    Type
    Article
    Language
    en
    ISSN
    1875-4791
    ae974a485f413a2113503eed53cd6c53
    10.1007/s12369-020-00652-x
    Scopus Count
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