The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
A survey of 3D object selection techniques for virtual environments
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Citations
Cites
The information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1954) · Journal of Experimental Psychology · doi:10.1037/h0055392 · Cited by 6,466 · cited 8×
“While the optimized initial impulse model refers to the accuracy a user can achieve given the movement required to perform an action, Fitts’ Law estimates the time required to acquire a target.”
BackgroundMethodInfluentialThe information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1992) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.121.3.262 · Cited by 6,278
3D User Interfaces: Theory and Practice
Bowman, D. A., Kruijff, E., LaViola, J. J., & Poupyrev, I. (2004) · Cited by 2,016
Fitts' Law as a Research and Design Tool in Human-Computer Interaction
MacKenzie, I. S. (1992) · Human–Computer Interaction · doi:10.1207/s15327051hci0701_3 · Cited by 1,637
Talking about tactile experiences
Obrist, M., Seah, S. A., & Subramanian, S. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2466220 · Cited by 1,613
Motor-output variability: A theory for the accuracy of rapid motor acts.
Schmidt, R. A. (1979) · Psychological Review · doi:10.1037//0033-295x.86.5.415 · Cited by 1,555
Information capacity of discrete motor responses.
Fitts, P. M., & Peterson, J. R. (1964) · Journal of Experimental Psychology · doi:10.1037/h0045689 · Cited by 1,534
Synthesis and evaluation of linear motion transitions
Wang, J., & Bodenheimer, B. (2008) · ACM Transactions on Graphics · doi:10.1145/1330511.1330512 · Cited by 1,534
“Put-that-there”: Voice and gesture at the graphics interface
Bolt, R. A. (1980) · Proceedings of the 7th annual conference on Computer graphics and interactive techniques - SIGGRAPH '80 · doi:10.1145/800250.807503 · Cited by 1,445
A discussion of cybersickness in virtual environments
LaViola, J. J. (2000) · ACM SIGCHI Bulletin · doi:10.1145/333329.333344 · Cited by 1,426
Cited by
Signaling in virtual reality influences learning outcome and cognitive load
Albus, P., Vogt, A., & Seufert, T. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104154 · Cited by 319
Eye, Head and Torso Coordination During Gaze Shifts in Virtual Reality
Sidenmark, L., & Gellersen, H. (2020) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3361218 · Cited by 163
Extending the Body for Interaction with Reality
Feuchtner, T., & Müller, J. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025689 · Cited by 85
Metadata
- Authors
- Argelaguet, F., & Andujar, C.
- Venue
- Computers & Graphics
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 37
- Issue
- 3
- Pages
- 121-136
- ISSN
- 0097-8493 (ISSN-L)
- OpenAlex
- W1969214042
- Cited by
- 521
- References
- 90
- FWCI
- 19.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Argelaguet, F., & Andujar, C. (2013). A survey of 3D object selection techniques for virtual environments. Computers & Graphics. https://doi.org/10.1016/j.cag.2012.12.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
