A quantitative analysis of head movement behaviour during visual acuity assessment under prosthetic vision simulation
Open accessAbstract
In most current vision prosthesis designs, head movement is the sole director of visual gaze and scanning due to the head-mounted nature of the camera. Study of this unnatural behaviour may provide insight into improved prosthesis designs and rehabilitation procedures. In this paper, we conducted a psychophysical study to investigate the characteristics of head movements of normally sighted subjects undergoing a visual acuity task in simulated prosthetic vision (SPV). In 12 naïve, untrained subjects, we recorded spontaneous changes in the amount of head movements during SPV sessions compared to control (normal vision) sessions. The observed behaviour continued to be refined until five or six sessions of practice. Increased head movement velocity was shown to be correlated to improved visual acuity performance, up to 0.3 logMAR, an equivalent of detecting details at half the physical size compared to complete deprivation of head movements. We postulate that visual scanning can as much as double the spatial frequency information in prosthetic vision. Increased head movement velocity observed when subjects were attempting smaller test items and for low-pass filtering schemes with higher cut-off frequencies may be further evidence that higher frequency content may be available through visual scanning, unconsciously driving subjects to increase head movement velocity.
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Research using simulated prosthetic vision suggests that obtaining a wide field of view (FOV) is important for both mobility and object recognition tasks.
“Research using simulated prosthetic vision suggests that obtaining a wide field of view (FOV) is important for both mobility and object recognition tasks.61–64”
From Visual Prostheses in the Era of Artificial Intelligence Technology (2025) · cites this paper as [62]
The Introduction (page unavailable) says head movements can expand the effective field of view, and the Conclusion (page unavailable) suggests that the observed scanning behaviour may generalize to object recognition and navigation. But the study tested visual acuity, not mobility or object recognition, and does not directly show that a wide FOV improves performance on those tasks. (LLM, conf=0.83)
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References 61 · Cited by 31
Research works printed but not linked: 1
- Clark G M 2002 Perceptual Learning ed M Fahle and T Poggio (Cambridge, MA: MIT Press)
- Authors
- Chen, S. C., Hallum, L. E., Suaning, G. J., & Lovell, N. H.
- Affiliations
- UNSW Sydney (AU)
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2007-02-26
- Volume
- 4
- Issue
- 1
- Pages
- S108-S123
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W2129998705
- Cited by
- 31
- References
- 61
- Citations by year
- 2025: 2 · 2023: 1 · 2021: 1 · 2020: 2 · 2019: 1 · 2018: 1 · 2016: 2 · 2015: 2 · 2014: 1 · 2013: 2
- FWCI
- 2.00
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- head movement, visual acuity, simulated prosthetic vision, visual exploration, head-mounted camera, low-pass filtering, spatial frequency, visual rehabilitation, practice effects
- MeSH terms
- Adolescent, Adult, Environment, Female, Humans, Image Interpretation, Computer-Assisted, Male, Movement, Psychomotor Performance, Retinal Diseases, Space Perception, User-Computer Interface, Vision Tests, Visual Acuity, Head Movements, Prostheses and Implants
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