Name
Title | ||
|---|---|---|
Beyond eye tracking analogies: cursor trajectories as subtle cues to detect distracting UI elements |
Abstract | ||
|---|---|---|
Designers trying to build intuitive interaction need to identify screen elements that (potentially) distract users from reaching their goals. The analysis of cursor movements has been proposed as a scalable and low-cost approach to analyze user distraction. Previous research, however, was mainly focused on finding gaze-analogous variables in cursor tracking data, e.g. cursor dwell times as an analogy to gaze fixations. We propose an approach that uses the shape of the cursor trajectories as an alternative means to estimate and locate user distraction. We present a study that shows the feasibility of the approach and we outline further work needed to use cursor trajectories as a means to automatically measure and identify distracting screen elements. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2559206.2581363 | CHI Extended Abstracts |
Keywords | Field | DocType |
screen element,intuitive interaction,ui element,gaze-analogous variable,cursor movement,cursor trajectory,subtle cue,low-cost approach,cursor dwell time,distracting screen element,user distraction,cursor tracking data | Distraction,Computer vision,Fixation (psychology),Gaze,Computer science,Human–computer interaction,Eye tracking,Tracking data,Graphical user interface elements,Artificial intelligence,Cursor (user interface),Scalability | Conference |
Citations | PageRank | References |
1 | 0.34 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jörn Hurtienne | 1 | 268 | 44.65 |
| Maximilian Landeck | 2 | 8 | 2.55 |
| Stefan Ludwig | 3 | 10 | 2.94 |
| Diana Löffler | 4 | 26 | 9.71 |