This paper presents an innovative virtual assistant system, which aims to address older adults' needs in a professional environment by proposing promising and innovative virtual assistance mechanisms. The system, named CogniWin, is expected to alleviate eventual age related memory degradation and gradual decrease of other cognitive capabilities (i.e. speed of processing new information, concentration level) and at the same time assist older adults to increase their learning abilities through personalized learning assistance and well-being guidance. In this paper we describe the overall system concept, the technological approach, the methodology used in the elicitation of user needs, and describe the first pre-trials' evaluation.
Abstract. There are a number of Information and Communication Technology (ICT) services that can be used to increase quality of life of older adults and persons with special needs. Unfortunately, there is often a mismatch between the offered services and their user-friendliness, hindering their use and reducing their utility. One of the most important factors is the ability to provide accessible, attractive and user-friendly interaction. In this study, three systems for the design of flexible user interfaces are compared based on a generic framework. The framework introduces a multi-step adaptation process, the concept of context of use and the distinction between adaptable and adaptive user interfaces. The three systems -AALuis, GPII/URC and universAALare independently presented and compared by means of ten framework-related criteria. The analysis of the systems reveals similarities (e.g., context of use, resource provision, and commitment to standards) and differences (e.g., abstract description of the user interfaces, generation of user interfaces or pluggable user interfaces and maintenance of the user model). This paper shows for each system where it is best suited in terms of application areas and desired system features. There is a need for further research to work towards harmonization between the systems and their application areas so that they may mutually benefit from each others' strengths.
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