Usability versus Adaption - Approaches to Higher Level Context Detection
Robert Lokaiczyk, Andreas Faatz, Benedikt Schmidt, Matthäus Martynus · 2010
While the research in detection of context features even cognitive ones like the user’s goal steps forward continuously, it is often focused on the quality of detection. But since context often finds use in context adaptive systems that proactively adapt to the user’s need, research should always consider the resulting benefit of context for the user in any context-based application. This paper presents the results of a case study which a) evaluates algorithms to detect three subtypes of user goals in knowledge work and b) focuses on useability issues, that have a direct impact for a measurable improvement of the work results. Our work includes a quantitative evaluation like task completion time improvement and qualitative aspects (e.g. intrusiveness of the system). Finally, we draw conclusions from our measurements, especially on how modeling of an adaptive approach at the workplace might take place.