ABIS 2016 – 22th Intl. Workshop on Personalization and Recommendation on the Web and Beyond
22th International Workshop on Intelligent and Personalized Human-Computer Interaction
4 September 2016 at Mensch & Computer 2016 in Aachen, Germany
Edited by Mirjam Augstein, Eelco Herder and Wolfgang Wörndl
Auflistung ABIS 2016 – 22th Intl. Workshop on Personalization and Recommendation on the Web and Beyond nach Titel
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- KonferenzbeitragAnalyzing Hand Therapy Success in a Web-Based Therapy System(Mensch und Computer 2016 – Workshopband, 2016) Elnaggar, Ahmed; Reichardt, DirkAfter an injury, hand therapy should help regaining the full functionality of the hand, wrist and fingers. The application we developed helps a therapist in tracking the success of the therapy. Using the Leap Motion device as a basis, we calculate the individual finger joint angles. A second subsystem measures the angles between the fingers. This data is used to derive a report on the fingers‘ adduction and abduction during the therapy. The third subsystem detects the wrist rotation angles. Three algorithms were designed to detect the patient hand data, which the system feeds it to the three subsystems, the final algorithm max average error is 5.6 degrees, while the average max error is 9.3 degrees. The web-based system is part of a therapy support system, which allows patients to do their exercise at home and record their individual success.
- KonferenzbeitragCustomized UI Development Through Context-Sensitive GUI Patterns(Mensch und Computer 2016 – Workshopband, 2016) Yigitbas, Enes; Sauer, StefanDeveloping highly flexible and easy to use user interfaces (UIs) for software applications that satisfy different usage contexts is a challenging task. Model-driven UI development (MDUID) approaches support the generation of multiple variants of a UI for different target users, platforms and environments. However, these approaches are not always sufficient because of usability issues which require manual changes for UI customizations. To overcome this deficit, we present a MDUID process that integrates context-sensitive GUI patterns to support the development of flexible and customized UIs. The integration and situation specific application of GUI patterns enable the creation of user tailored UIs and leverage a personalized interaction. For showing the feasibility of our approach, we formalized and implemented a set of context-sensitive GUI patterns based on the Interaction Flow Modeling Language (IFML). We demonstrate our pattern application concept and tool-support based on a customized MDUID process for generating the UI of a calendar management application.
- KonferenzbeitragLearning Special Input Methods with Personalized Game Applications(Mensch und Computer 2016 – Workshopband, 2016) Neumayr, Thomas; Augstein, Mirjam; Vrecer, Stephan; Kurschl, Werner; Altmann, JosefPersonalization in interactive systems can take a variety of appearances, e.g., in the form of individually tailored content presentation, adaptive navigation concepts or layouts. It has been discussed in a number of domains such as e-learning, search or information retrieval and has become an important aspect also in the general context of human-computer interaction. The presented project focuses on the personalization of the interaction process itself. It provides a user modelling framework with emphasis on users’ interaction abilities and an infrastructure for i) the personalized and automated selection and configuration of input devices as well as ii) the individually tailored process of interaction with the applications using the framework. This short paper outlines the process of and relations among interaction modeling, further individual training of interaction abilities and personalized application configuration using the example of two simple games that make use of the framework.
- KonferenzbeitragModeling Age-related Differences in Information Search(Mensch und Computer 2016 – Workshopband, 2016) Karanam, Saraschandra; Oostendorp, Herre vanA number of cognitive processes are involved in the process of information search: memory, attention, comprehension, problem solving, executive control and decision making. Several cognitive factors such as aging-related cognitive abilities in turn influence either positively or negatively the above cognitive processes. We argue that the traditional click models from information retrieval community that predict user clicks do not take into account the effects of aging. We propose to exploit the capabilities of computational cognitive models that can simulate the effects of cognitive factors on information search behavior. In this direction, we present some ideas to incorporate effects of aging into a computational cognitive model called CoLiDeS+. Preliminary analysis of our ideas on predicting individual differences due to aging effects show promising outcomes.
- KonferenzbeitragSolving Tourist Trip Design Problems from a User’s Perspective(Mensch und Computer 2016 – Workshopband, 2016) Wörndl, WolfgangThis position paper briefly motivates an abstract model for tourist trip design problems and outlines two scenarios we are working on: 1. a city trip planner to recommend a sequence of items for visiting a city, and 2. a travel region recommender for combining travel regions to recommend a composite trip.