Juicy Haptic Design: Vibrotactile Embellishments Can Improve Player Experience in Games
Bibliographic record
Abstract
Game designers and researchers employ a sophisticated language for producing great player experiences with concepts such as juiciness, which refers to excessive positive feedback. However, much of their discourse excludes the role and value of haptic feedback. In this paper, we adapt terminology from game design to study haptic feedback. Specifically, we define haptic embellishments (HEs) as haptic feedback that reinforce information already provided through other means (e.g., via visual feedback) and juicy haptics as excessive positive haptic feedback with the intention of improving user experience in games and other interactive media. We report two empirical studies of users’ experiences interacting with visuo-haptic content on their phones to 1) study participants’ preferences for ten design principles for HEs and 2) measure the added value of juicy haptics, implemented as HEs, on player experience in a game. Results indicate that juicy haptics can enhance enjoyability, aesthetic appeal, immersion, and meaning.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".