an article by A. S. Gessl, S. Schlögl and N. Mevenkamp (MCI Management Center Innsbruck, Austria) published in Behaviour & Information Technology Volume 38 Issue 11 (November 2019)
Abstract
The demographic shift marks the beginning of a social transformation with far reaching implications, and differences in aging processes across individuals render one-size fits-all policies ineffective. An area of increasing importance is assistive technology, including physical and Social Assistance Robots (SARs) for elderly support.
In order to increase the effectiveness of such technologies, their design, functionality, and acceptance by target users must be evaluated.
This paper presents a study that examines SAR technology acceptance among the future elderly (aged 20–60) in a German-speaking population (N=188). In doing this, we investigated the relationships between personality, resilience, technology experience, expectations for technology, fulfilment of expectations for technology, and technology acceptance.
The study found significant correlations between age, gender, education, personality, resilience, experience, expectations, and technology acceptance and its subdimensions.
Of the personality dimensions, agreeableness and neuroticism were found most relevant. Small effects were found between resilience and acceptance, and highly significant ones between technology acceptance, technology experience, expectations for SARs, and fulfilment of expectations for SARs.
In keeping with previous research, the findings suggest that personality plays a significant role in the acceptance of SAR technologies. This study may be one of the first that considers and evaluates resilience as a factor in technology acceptance.
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