We present and discuss our findings on the identified causes for the differences of the results of two usability studies on the borrowed use of Gesture Therapy, a virtual rehabilitation tool for the cognitive stimulation and physical activation of elders. The studies focused on usability aspects including perceived usefulness, ease of use, intention of use and user experience. In the first study, we used self-report techniques to gather data, and found that previous technological experience had a significant effect on the perceived anxiety of elders; while on the second study, we used indirect observation techniques to gather data, and found that previous technological experience had a significant effect on the perceived enjoyment of elders. After a further analysis of the video recordings of the playing sessions, we identified that elders developed two different approaches to their using the application (explore-and-learn and score-and-compete), which could be related to their previous technological experience, and explain the identified differences. We observed that in the presence of problems, the response of participants was different depending on the adopted behavior. Based on this evidence, we distilled a set of preliminary guidelines to foster or inhibit certain behaviors and outcomes related to the effect of previous experience that were observed during our evaluation studies of virtual tools for the cognitive stimulation and physical activation of the elderly.

The use of Ambient Assisted Living (AAL) technologies as a means to cope with problems that arise due to an increasing and aging population is becoming usual. AAL technologies are used to prevent, cure and improve the wellness and health conditions of the elderly. However, their adoption and use by older adults is still a major challenge. User Experience (UX) evaluations aim at aiding on this task, by identifying the experience that a user has while interacting with an AAL technology under particular conditions. This may help designing better products and improve user engagement and adoption of AAL solutions. However, evaluating the UX of AAL technologies is a difficult task, due to the inherent limitations of their subjects and of the evaluation methods. In this study, we validated the feasibility of assessing the UX of older adults while they use a cognitive stimulation application using a neural network trained to recognize pleasant and unpleasant emotions from electroencephalography (EEG) signals by contrasting our results with those of additional self-report and qualitative analysis UX evaluations. Our study results provide evidence about the feasibility of assessing the UX of older adults using a neural network that take as input the EEG signals; the classification accuracy of our neural network ranges from 60.87% to 82.61%. As future work we will conduct additional UX evaluation studies using the three different methods, in order to appropriately validate these results.

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Cognitive decline diseases, such as dementia, could be prevented through Cognitive Stimulation (CS) activities in which elders' relatives participate as informal caregivers. We carried out case studies for understanding the role of technology in the evolution of the relationships among older adults and their children, and the practices, roles and responsibilities of the elders' relatives in a CS session. Based on the results for these case studies we are proposing a pervasive system that incorporates mechanisms for facilitating elders' relatives to provide elders with instructions, help and feedback. In this paper we are presenting the design of a pervasive system that enables the diversity of the members of the elders' social family network to participate in CS sessions. This system consists of multimodal interfaces and distributed software components that enable the members of the elders' family to motivate them to carry out their CS activities.