Automated affect classification and task difficulty adaptation in a competitive scenario based on physiological linkage
An exploratory study
Bibliographic Data
| ID | 21642377 |
|---|---|
| Authors | Ali Darzi (0000-0002-9668-1423, University of Wyoming), Vesna Dominika Novak (0000-0001-9143-2682, University of Wyoming, corresponding author) |
| Year | 2021 |
| Volume | 153 |
| Pages | 102673 |
| Publication date | 2021-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Human-Computer Studies (JOURNAL) |
| Journal identifiers | ISSN: 1071-5819 • E-ISSN: 1095-9300 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijhcs.2021.102673 |
| PMID | 34092990 |
| OpenAlex | W3163332843 |
| Language | EN |
| Citations received | 3 |
| References cited | 41 |
Arousal · Cognitive psychology · Exploratory research · Human–computer interaction · Machine learning · Workload · Communication · Computer Science · EEG and Brain-Computer Interfaces · Emotion and Mood Recognition · Engineering · Neural and Behavioral Psychology Studies · Psychology · Social Psychology · Artificial Intelligence
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| Unique citing works | 3 |
|---|---|
| Citations per year | 1.5 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |