Pointing Cursor Interaction in Virtual Reality from the Perspective of Distance Perception
Bibliographic record
Abstract
In virtual reality, the users cannot interact well or execute tasks efficiently, if the absolute distance is perceived incorrectly, or the pointing cursor is designed unreasonably. Drawing on the Fitts’ law extended for stereo pointing, this paper conducts interactive experiments on the pointing in virtual space. The variables involved in the experiments include type of cursor, absolute distance, object scale, and azimuth angle. A total of six assumptions were put forward: the perception precision of absolute distance and the object pointing velocity are influenced by type of cursor, absolute distance, object scale, and azimuth angle. Based on the experimental results, the object pointing precision and the object pointing duration were analyzed, followed by a discussion about the change law of the perception precision of absolute distance with the object pointing velocity. The experimental results show that, in the VR, both pointing cursor and object scale greatly affect perception precision of absolute distance, and object pointing velocity. The azimuth angle of object and absolute distance merely significantly affect object pointing velocity. The type of cursor and absolute distance exert a bidirectional interactive effect on the perception precision of absolute distance, and object pointing velocity. For the two types of pointing cursors, the object pointing duration has a positive correlation with the coefficient of difficulty, which is in line with the Fitts’ law extended for stereo pointing. The research discloses the factors affecting the perception of absolute distance, and guides the interaction and stereo pointing design of VR.
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How this classification was reachedexpand
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 | 0.001 | 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) | 0.000 | 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 teacher head, 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".