Suchergebnisse

A globally ageing population is more frequently required to utilize information systems as caregiving agencies and government policies adapt newer technologies to sustain efficiency. This unique user group commonly has difficulty with the solutions presented to them, and recent studies have focused on establishing the causes of these difficulties and possible solutions to them. However, these approaches are spread over a variety of technology domains (e.g., Mobile, Web, Desktop) and there seems to be little alignment between them, despite some obvious overlaps. In this paper, we conducted a systematic literature review to provide a structured overview of the current state of the literature regarding user interface development for elderly users over a variety of domains. Possibilities for future research and significant findings are also discussed.

Research on financial decision-making shows that traders and investors with high emotion regulation capabilities perform better in trading. But how can the others learn to regulate their emotions? 'Learning by doing' sounds like a straightforward approach. But how can one perform 'learning by doing' when there is no feedback? This problem particularly applies to learning emotion regulation, because learners can get practically no feedback on their level of emotion regulation. Our research aims at providing a learning environment that can help decision-makers to improve their emotion regulation. The approach is based on a serious game with real-time biofeedback. The game is settled in a financial context and the decision scenario is directly linked to the individual biofeedback of the learner's heart rate data. More specifically, depending on the learner's ability to regulate emotions, the decision scenario of the game continuously adjusts and thereby becomes more (or less) difficult. The learner wears an electrocardiogram sensor that transfers the data via Bluetooth to the game. The game itself is evaluated at several levels. ; open access