This paper analyzes the requirements of users of different generations with regard to future e-banking systems. An empirical study was conducted to verify six previously formulated hypotheses. The results show that the acceptance of such systems highly depends on factors such as age, gender and general technical affinity. It turned out that most of the older people are not yet willing to use such systems at allindependent of specific system characteristics. Additionally, it is more likely that men will use smart banking systems than women and that technical affinity has a positive influence on the general usage intention.
Abstract:The development of a widely applicable automatic motion coaching system requires one to address a lot of issues including motion capturing, motion analysis and comparison, error detection as well as error feedback. In order to cope with this complexity, most existing approaches focus on a specific motion sequence or exercise. As a first step towards the development of a more generic system, this paper systematically analyzes different error and feedback types. A prototype of a feedback system that addresses multiple modalities is presented. The system allows to evaluate the applicability of the proposed feedback techniques for arbitrary types of motions in a next step.
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