Project description 

In the “interruption age”, we are getting used to frequently shifting our attention to secondary tasks while working on a primary one. After an interruption, resuming the primary task is difficult since users may not remember their previous intentions and behaviors. Eye trackers are a promising technology to provide task resumption support (TRS). Consequently, users can be reminded of their previous visual behavior and resume the primary task properly. In this research project, we design and develop different gaze-based TRS types and investigate the role of individual user characteristics (e.g., working memory capacity) on their effectiveness.

Publications

AttentionBoard: A Quantified-Self Dashboard for Enhancing Attention Management with Eye-Tracking

Using Eye-tracking for Visual Attention Feedback

Designing User-adaptive Information Dashboards: Considering Limited Attention and Working Memory 

Designing attention-aware Business Intelligence and analytics Dashboards