We evaluated the seal-like robot PARO in the context of multi-sensory behavioral therapy in a local nursing home. Participants were 10 elderly nursing home residents with varying levels of dementia. We report three principle findings from our observations of interactions between the residents, PARO, and a therapist during seven weekly therapy sessions. Firstly, we show PARO provides indirect benefits for users by increasing their activity in particular modalities of social interaction, including visual, verbal, and physical interaction, which vary between primary and non-primary interactors. Secondly, PARO's positive effects on older adults' activity levels show steady growth over the duration of our study, suggesting they are not due to short-term "novelty effects." Finally, we show a variety of ways in which individual participants interacted with PARO and relate this to the "interpretive flexibility" of its design.
Given careful design and problem formulation, an AI simulation framework can approximate optimal decisions even in complex and uncertain environments. Future work is described that outlines potential lines of research and integration of machine learning algorithms for personalized medicine.
This paper presents an ongoing project using participatory design methods to develop design concepts for socially assistive robots (SARs) with older adults diagnosed with depression and co-occurring physical illness. We frame SARs development in the context of preventive patient-centered healthcare, which empowers patients as the primary drivers of health and aims to delay the onset of disease rather than focusing on treatment. After describing how SARs can be of benefit in this form of healthcare, we detail our participatory design study with older adults and therapists aimed at developing preventive SARs applications for this population. We found therapists and older adults to be willing and able to participate in assistive robot design, though hands-on participation was a challenge. Our findings suggest that important areas of concern for older adults with depression are social interaction and companionship, as well as technologies that are easy to use and require minimal intervention.
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