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dc.contributor.authorNeumayr, Thomas-
dc.contributor.authorKern, Daniel-
dc.contributor.authorAugstein, Mirjam-
dc.contributor.authorKurschl, Werner-
dc.contributor.authorAltmann, Josef-
dc.date.accessioned2015-03-27T04:09:00Z-
dc.date.available2015-03-27T04:09:00Z-
dc.date.issued2015-04-
dc.identifier.otherFFH2015-CBS1-02-
dc.identifier.urihttp://ffhoarep.fh-ooe.at/handle/123456789/431-
dc.description.abstractBecause of an aging society and the relevance of computer-based systems in a variety of fields of our life, personalization of software systems is becoming more important by the day in order to prevent usage errors and create a good user experience. However, personalization typically is a time-consuming and costly process if it is done through manual configuration. Automated adaptation to specific users’ needs is, therefore, a useful way to reduce the efforts necessary. The IAAA project focuses on the analysis of user interaction capabilities and the implementation of automated adaptations based on them. However, the success of these endeavors is strongly reliant on a careful selection of interaction modalities as well as profound knowledge of the target group’s general interaction behavior. Therefore, as a first step in the project, an extensive task-based user observation with thorough involvement of the actual target group was conducted in order to determine input devices and modalities that would in a second step become subject of the first prototypic implementations. This paper discusses the general objectives of the IAAA project, describes the methodology and aims behind the user observation and presents its results.-
dc.subjectadaptivity-
dc.subjectuser models-
dc.subjectmulti-modality-
dc.titleIAAA – Interaction Analysis for Automated Adaptation-
Enthalten in den Sammlungen:5) Computer-based Systems

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