Towards interactive and adaptive visualizations for preferential choices and public engagement

Information visualization is gaining importance for analyzing large and complex datasets. There is evidence that user’s performance and satisfaction in working with visualizations can be influenced by cognitive or personality traits. Thus, researches have started investigating how information visualization tools could be made more effective and usable by enabling them to adapt in real-time to user’s traits. However past researches mostly focused on simple visualization such as bar charts, and simple tasks. The intern will contribute to this line of work by investigating user’s behavior when working with an advanced interactive interface designed by the partner organization, which combines different visualizations for making subjective decisions. The intern will study if past results found for simpler visualization/tasks still hold with this more advanced interface. The partner organization will benefit from this work by usability tests of their system as well as guidelines to design more effective and attractive interfaces.

Faculty Supervisor:

Dr. Cristina Conati

Student:

Sébastien Lallé

Partner:

Metroquest

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of British Columbia