Evaluation of precision, accuracy and threshold for the design of vibrotactile feedback in eye tracking applications
- Novel approaches for the design of assistive technology controls propose the usage of eye tracking devices such as for smart wheelchairs and robotic arms. The advantages of artificial feedback, especially vibrotactile feedback, as opposed to their use in prostheses, have not been sufficiently explored. Vibrotactile feedback reduces the cognitive load on the visual and auditory channel. It providesNovel approaches for the design of assistive technology controls propose the usage of eye tracking devices such as for smart wheelchairs and robotic arms. The advantages of artificial feedback, especially vibrotactile feedback, as opposed to their use in prostheses, have not been sufficiently explored. Vibrotactile feedback reduces the cognitive load on the visual and auditory channel. It provides tactile sensation, resulting in better use of assistive technologies. In this study the impact of vibration on the precision and accuracy of a head-worn eye tracking device is investigated. The presented system is suitable for further research in the field of artificial feedback. Vibration was perceivable for all participants, yet it does not produce any significant deviations in precision and accuracy.…
Document Type: | Article (reviewed) |
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Zitierlink: | https://opus.hs-offenburg.de/8173 | Bibliografische Angaben |
Title (English): | Evaluation of precision, accuracy and threshold for the design of vibrotactile feedback in eye tracking applications |
Author: | Thomas WendtStaff MemberORCiDGND, Anke FischerStaff MemberORCiD, Lukas StiglmeierStaff MemberORCiD, Philipp GawronStaff MemberORCiDGND, Kristof Van LaerhovenORCiD |
Year of Publication: | 2023 |
Date of first Publication: | 2023/04/05 |
First Page: | 103 |
Last Page: | 109 |
Parent Title (English): | Journal of Sensors and Sensor Systems |
Volume: | 12 |
Issue: | 1 |
ISSN: | 2194-878X (eISSN) |
ISSN: | 2194-8771 |
DOI: | https://doi.org/10.5194/jsss-12-103-2023 |
URN: | https://urn:nbn:de:bsz:ofb1-opus4-81731 |
Language: | English | Inhaltliche Informationen |
Institutes: | Fakultät Wirtschaft (W) |
Institutes: | Bibliografie |
DDC classes: | 600 Technik, Medizin, angewandte Wissenschaften |
GND Keyword: | Roboter |
Tag: | Artificial Feedback; Eyetracking | Formale Angaben |
Relevance: | Wiss. Zeitschriftenartikel reviewed: Listung in Master Journal List |
Open Access: | Open Access |
Gold | |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |