ABIS 2014 – 20th Intl. Workshop on Personalization and Recommendation on the Web and Beyond
20th International Workshop on Adaptivity and User Modeling
Held at Mensch & Computer 2014, Munich, Germany
Editors: Mirjam Augstein, Boris Brandherm, Dominikus Heckmann, Eelco Herder, Wolfgang Woerndl
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- KonferenzbeitragAn ontology-based recommender system to promote physical activity for pre-frail elderly(Mensch & Computer 2014 - Workshopband, 2014) Nassabi, Mohammad Hossein; op den Akker, Harm; Vollenbroek-Hutten, MiriamThe increasing ageing population and the prevalence of chronic diseases have introduced new challenges to healthcare systems motivating researchers to use telemonitoring solutions for providing care. In some solutions, a special focus has been given to promoting physical activity as it can decrease the risk of becoming frail and prevents further health complications. The focus of this research is to keep seniors physically active by designing and developing an intelligent system that recommends exercises tailored to an individual’s health status, goals and preferences hence aiming for an adaptive personalized solution.
- KonferenzbeitragPromotion of Active Aging Using a Tailored Recommendation System(Mensch & Computer 2014 - Workshopband, 2014) Cabrita, Miriam; Vollenbroek-Hutten, MiriamActive Aging deals with the support and integration of the elderly population in a society focusing on improving physical and mental well-being. Persuasive technology provides solutions for tailored interventions aiming at maintaining an active lifestyle. The present paper introduces the initial ideas of a PhD trajectory that proposes to design and develop a tailored monitoring and coaching system for the promotion of Active Aging based on principles of physical and mental well-being. This is a multidisciplinary research that uses theories from Positive Psychology to determine input / output and informatics for the data processing and decision making system.
- KonferenzbeitragFlexible & Adaptive UIs for Self-Service Systems(Mensch & Computer 2014 - Workshopband, 2014) Yigitbas, Enes; Sauer, StefanSelf-service systems are technically complex and provide products and services to end users. Due to the heterogeneity of the users of such systems and their short residence time, the usability of a system’s user interface (UI) is of great importance. Currently, an intuitive and flexible usage is often limited because of the monolithic architecture of existing self-service systems. Furthermore, today’s self-service systems represent the one-and-only endpoint of communication with a customer when process-sing a transaction. The integration of the customer’s personal computing devices, like desktop PC, notebook, and smartphone is not sufficiently covered yet. In order to tackle these problems, we have established a methodology for developing adaptive UIs for multi-channel self-services where a customer may, for example, start a transaction on a PC at home, modify it with the smartphone, and finally finish it at a self-service terminal. In this paper we describe our integrated model-based ap-proach for the development of adaptive user interfaces for distributed multi-channel self-service systems and show its applicability in practice based on an exemplary case study.
- KonferenzbeitragModelling Touchless Interaction for People with Special Needs(Mensch & Computer 2014 - Workshopband, 2014) Augstein, Mirjam; Kurschl, WernerTouchless interaction has recently been gaining more and more attention through affordable input devices like Microsoft Kinect or Leap Motion. Touchless interaction is also attractive to people with impairments, however, few applications using touchless interaction have been made available to this target group so far. Usually, people with special needs receive individually configured software by their consultants which can be challenging because in many cases the performance regarding interaction with the system varies drastically, even from day to day. It is thus a valid objective to introduce a user modelling approach that can ultimately replace part of consultants’ time-consuming configuration tasks. This has partly been successfully implemented in the past regarding conventional and touch-based interaction. This paper presents a prototypic application for modelling touchless interaction capabilities of people with special needs and reports the results of an initial study.