Marcel Heerink
ABSTRACT
It is generally recognized that non perceptual factors like age, gender, education and computer experience can have a moderating effect on how perception of a technology leads to acceptance of it. In our present research we are exploring the influence of these factors on the acceptance of assistive social robots by older adults. In this short paper we discuss the results of a user study in which a movie of an elderly person using a social assistive robot was shown to older adults. The analysis of the responses give a first indication on if and how these factors relate to the perceptual processes that lead to acceptance.
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Digital Library
- Heerink, M., B. J. A. Kröse, B. J. Wielinga and V. Evers (2010). Measuring acceptance of assistive social agent technology by older adults: the Almere model. International Journal of Social Robotics 2(3): 1--15Google Scholar
- Heerink, M., B. Kröse, B. Wielinga and V. Evers. Measuring acceptance of an assistive social robot: a suggested toolkit. In Proceedings RO-MAN 2009. Toyama, Japan, p. 528--533Google ScholarCross Ref
- Sun, H. and P. Zhang (2006). The role of moderating factors in user technology acceptance International Journal of Human-Computer Studies 64(2): 53--78 Google ScholarDigital Library
- Cesta, A. and F. Pecora (2005). The ROBOCARE Project: Intelligent Systems for Elder Care. Proceedings of the AAAI Fall Symposium on "Caring Machines: AI in Elder Care", Washington DC, USA: 1--4Google Scholar
- Santos, J. R. A. (1999). Cronbach's alpha: A tool for assessing the reliability of scales. Journal of Extension 37(2): 1--5.Google Scholar
Index Terms
- Exploring the influence of age, gender, education and computer experience on robot acceptance by older adults
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