Exploring the Impact of Avatar Color on Game Experience in Educational Games
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The color red has been shown to hinder performance, motivation, and affect in a variety of contexts involving cognitively demanding tasks. Teams wearing red have been shown to impair the performance of opposing teams, present even in online gaming. Although color is strongly contextual (e.g., red-failure association), its effects are posited to be sub-conscious and operate powerfully even on nonhuman primates, e.g., Rhesus macaques (Macaca mulatta) take food significantly less often from an experimenter wearing red. Here, we present one of the first studies on avatar color in a single-player game. We compared players using a red avatar to players using a blue avatar. Using the Game Experience Questionnaire (GEQ), we find that players using a red avatar had a decrease in competence, immersion and flow. Our results are of consequence to how we design and choose colors in single-player contexts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.027 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it