Name
Abstract | ||
|---|---|---|
Recognizing impairments of the user's ability to make goal-related decisions is an important feature for intelligent user interfaces, because this points to a higher need to support the user by the intelligent system. Here, we introduce using the entropy of cursor movements as an indicator of decision fatigue. We report an empirical proof-of-concept study that manipulates the amount of decision fatigue in participants. The results show that cursor entropy is increased for people with higher decision fatigue than for people with lower decision fatigue. Thus, intelligent user interfaces become capable of detecting decision fatigue on the basis of cursor entropy and could recognize when users need assistance in their decision making.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3180308.3180340 | COMPANION OF THE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES (IUI'18) |
Keywords | Field | DocType |
Decision fatigue, Ego Depletion, Cursor Entropy | Computer science,Human–computer interaction,User interface,Ego depletion,Decision fatigue,Cursor (user interface) | Conference |
ISBN | Citations | PageRank |
978-1-4503-5571-1 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Reinhardt | 1 | 1 | 5.09 |
| Jörn Hurtienne | 2 | 268 | 44.65 |