Text Entry by Gaze: Utilizing Eye Tracking
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The evaluation confirmed that gaze visual feedback improves the performance of experienced users.
“(iii) gaze visual feedback improves the performance of experienced users.”
From The EyeHarp: A Gaze-Controlled Digital Musical Instrument (2016) · cites this paper as Majaranta and Räihä, 2007
The evaluation confirmed that magnification methods help in selecting small targets.
“(ii) magnification methods help in selecting small targets”
From The EyeHarp: A Gaze-Controlled Digital Musical Instrument (2016) · cites this paper as Majaranta and Räihä, 2007
The evaluation of the step sequencer layer confirmed that there is a steep learning curve in gaze interaction.
“All in all, the evaluation of the step sequencer layer, confirmed all results reported by similar gaze controlled systems in which selecting targets using dwell-time selection method is required (Hansen et al., 2003; Majaranta and Räihä, 2007): (i) There is a steep learning curve in gaze interaction”
From The EyeHarp: A Gaze-Controlled Digital Musical Instrument (2016) · cites this paper as Majaranta and Räihä, 2007
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Salojärvi, J. (2008) · Aaltodoc (Aalto University) · Cited by 1 · see citing works
Eye communication system for nonspeaking patients
da Eira, M. S. (2014) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.34626/rf8x-vb65 · Cited by 1 · see citing works
Eye‐Tracking and Assessing Sexual Interest in Forensic Contexts
Hogue, T. E., Wesson, C., & Perkins, D. E. (2016) · doi:10.1002/9781118574003.wattso045 · Cited by 1 · see citing works
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Development and Evaluation of Gaze Tracking Integrated E-Learning Contents
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Graphical processing unit assisted image processing for accelerated eye tracking
du Plessis, & Louis, J.-P. (2015)
Integrating eye tracking in virtual reality for stroke rehabilitation
Alves, J. (2014) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Kuliński, M., & Jach, K. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-99981-4_20
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EyeO: Autocalibrating Gaze Output with Gaze Input for Gaze Typing
Saran, A., Alber, J., Zhang, C., Paradiso, A., Bragg, D., & Langford, J. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3720090
Understanding Usability of VR Pointing Methods with a Handheld-style HMD for Onsite Exhibitions
Abe, Y., Kusakabe, K., Choi, M., Sakamoto, D., & Ono, T. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713874
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- Authors
- Majaranta, P., & Räihä, K.-J.
- Affiliations
- University of Tampere (FI)
- Venue
- Text Entry Systems
- Publisher
- Elsevier
- Published
- 2007
- Pages
- 175-187
- OpenAlex
- W2506397550
- Cited by
- 96
- References
- 33
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 4 · 2022: 5 · 2021: 4 · 2020: 3 · 2019: 2 · 2018: 5 · 2017: 7 · 2016: 8 · 2015: 10 · 2014: 5 · 2013: 3 · 2012: 8
- FWCI
- 8.31
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Elsevier eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- eye tracking, eye-tracking devices, assistive technology, disabled users, virtual keyboard, alternative input methods
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