A feasibility study of context-adaptive visualizations in public transport information systems

Abstract

Public displays serve as an ubiquitous source of information in public space. In context of public transport information systems, they commonly advice impersonal departure and arrival timetables. Since most displayed information is very generic, users often have problems to find the specific information they need. We propose an approach for context-aware public displays to improve personalized information access according to a user's language, location, time or other individual preferences. In our research we analyze how users access information concerning their personal trips in the field of public transport. We carried out a user survey to examine the requirements for adapted content on public displays, in preparation for a quantitative user study with focus on the visualization of specific content.