To design interactive systems that proactively assist users' decision making, the users' gaze information is an important cue for the system to estimate users' selection criteria. Users sometimes change selection criteria while browsing content. Therefore, temporal changes of those criteria need to be traced from gaze data in short time scales. In this paper, we propose an approach to detecting users' distinctive browsing periods with its appropriate time-scale by leveraging multiscale exact tests so that the system can trace temporal changes of selection criteria. We demonstrate the applicability of the proposed method through a toy example and experiments.
['Kei Shimonishi', 'Hiroaki Kawashima', 'Erina Ishikawa Schaffer', 'Takashi Matsuyama']
Tracing Temporal Changes of Selection Criteria from Gaze Information