Auflistung Workshop-Band MuC 2012 nach Autor:in "Augstein, Mirjam"
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- KonferenzbeitragABIS12 - Personalization and Recommendation on the Web and Beyond(Mensch & Computer 2012 – Workshopband: interaktiv informiert – allgegenwärtig und allumfassend!?, 2012) Herder, Eelco; Augstein, Mirjam; Heckmann, DominikABIS 2012 is an international workshop, organized by the SIG on Adaptivity and User Modeling of the German Gesellschaft für Informatik. For the last 19 years ABIS has been a highly interactive forum for discussing the state of the art in personalization and user modeling. Latest developments in industry and research are presented in plenary sessions, forums and tutorials. Researchers, PhD students and Web professionals obtain and exchange novel ideas, expertise and feedback. ABIS 2012 is organized as part of Mensch & Computer 2012, the leading event in the area of human-computer interaction in German speaking countries.
- KonferenzbeitragAdaptive User Interfaces on Tablets to Support People with Disabilities(Mensch & Computer 2012 – Workshopband: interaktiv informiert – allgegenwärtig und allumfassend!?, 2012) Kurschl, Werner; Augstein, Mirjam; Stitz, HolgerWith the advent of tablet computers, touch screens, gesture-based interaction and speech recognition, sophisticated applications with Natural User Interfaces (NUIs) become state of the art. NUIs have the potential to support people with disabilities, e.g., in their daily activities or in acquiring specific skills. Yet, one main challenge is that this user group has diverse abilities and handicaps so that an interaction design must be highly configurable to make NUIs beneficial. The introduction of adaptivity might be promising in order to overcome configuration complexity and effort. This paper presents an approach to adaptive user interfaces on tablets to support people with disabilities.
- KonferenzbeitragRecommender Systems: Between Acceptance and Refusal(Mensch & Computer 2012 – Workshopband: interaktiv informiert – allgegenwärtig und allumfassend!?, 2012) Neumayr, Thomas; Augstein, MirjamRecommender Systems (RSs) are a prominent solution to the problem of information overload on the web. It is impossible for users to process or even understand all information presented to them. Also, it becomes more and more difficult for an individual to identify appropriate concrete pieces of information or information sources. RSs aim at adapting the presented content and the order in which it is presented to users’ individual needs, based on their preferences and past behavior. Yet, a system can only provide accurate recommendations if it has been authentically used before, i.e., been able to collect information about a user. As authentic usage depends on a user’s acceptance, the success of RSs in general is strongly dependent on acceptance also. If recommendations seem inappropriate, the trust in the system will fade. This paper presents a study analyzing how and to what extent different factors like transparency or controllability influence acceptance in the context of web-based recommendation.