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Haptic feedback to gaze events

Tutkimustuotosvertaisarvioitu

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Haptic feedback to gaze events. / Kangas, Jari; Rantala, Jussi; Majaranta, Päivi; Isokoski, Poika; Raisamo, Roope.

Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014. Association for Computing Machinery, 2014. s. 11-18.

Tutkimustuotosvertaisarvioitu

Harvard

Kangas, J, Rantala, J, Majaranta, P, Isokoski, P & Raisamo, R 2014, Haptic feedback to gaze events. julkaisussa Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014. Association for Computing Machinery, Sivut 11-18, Safety Harbor, FL, Yhdysvallat, 26/03/14. https://doi.org/10.1145/2578153.2578154

APA

Kangas, J., Rantala, J., Majaranta, P., Isokoski, P., & Raisamo, R. (2014). Haptic feedback to gaze events. teoksessa Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014 (Sivut 11-18). Association for Computing Machinery. https://doi.org/10.1145/2578153.2578154

Vancouver

Kangas J, Rantala J, Majaranta P, Isokoski P, Raisamo R. Haptic feedback to gaze events. julkaisussa Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014. Association for Computing Machinery. 2014. s. 11-18 https://doi.org/10.1145/2578153.2578154

Author

Kangas, Jari ; Rantala, Jussi ; Majaranta, Päivi ; Isokoski, Poika ; Raisamo, Roope. / Haptic feedback to gaze events. Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014. Association for Computing Machinery, 2014. Sivut 11-18

Bibtex - Lataa

@inproceedings{cd38569bd962493ba1b9b54f30b63152,
title = "Haptic feedback to gaze events",
abstract = "Eye tracking input often relies on visual and auditory feedback. Haptic feedback offers a previously unused alternative to these established methods. We describe a study to determine the natu-ral time limits for haptic feedback to gazing events. The target is to determine how much time we can use to evaluate the user gazed object and decide if we are going to give the user a haptic notification on that object or not. The results indicate that it is best to get feedback faster than in 250 milliseconds from the start of fixation of an object. Longer delay leads to increase in incorrect associations between objects and the feedback. Delays longer than 500 milliseconds were confusing for the user.",
keywords = "Gaze interaction, Gaze tracking, Haptic feedback",
author = "Jari Kangas and Jussi Rantala and P{\"a}ivi Majaranta and Poika Isokoski and Roope Raisamo",
year = "2014",
doi = "10.1145/2578153.2578154",
language = "English",
isbn = "9781450327510",
pages = "11--18",
booktitle = "Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014",
publisher = "Association for Computing Machinery",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Haptic feedback to gaze events

AU - Kangas, Jari

AU - Rantala, Jussi

AU - Majaranta, Päivi

AU - Isokoski, Poika

AU - Raisamo, Roope

PY - 2014

Y1 - 2014

N2 - Eye tracking input often relies on visual and auditory feedback. Haptic feedback offers a previously unused alternative to these established methods. We describe a study to determine the natu-ral time limits for haptic feedback to gazing events. The target is to determine how much time we can use to evaluate the user gazed object and decide if we are going to give the user a haptic notification on that object or not. The results indicate that it is best to get feedback faster than in 250 milliseconds from the start of fixation of an object. Longer delay leads to increase in incorrect associations between objects and the feedback. Delays longer than 500 milliseconds were confusing for the user.

AB - Eye tracking input often relies on visual and auditory feedback. Haptic feedback offers a previously unused alternative to these established methods. We describe a study to determine the natu-ral time limits for haptic feedback to gazing events. The target is to determine how much time we can use to evaluate the user gazed object and decide if we are going to give the user a haptic notification on that object or not. The results indicate that it is best to get feedback faster than in 250 milliseconds from the start of fixation of an object. Longer delay leads to increase in incorrect associations between objects and the feedback. Delays longer than 500 milliseconds were confusing for the user.

KW - Gaze interaction

KW - Gaze tracking

KW - Haptic feedback

UR - http://www.scopus.com/inward/record.url?scp=84899691269&partnerID=8YFLogxK

U2 - 10.1145/2578153.2578154

DO - 10.1145/2578153.2578154

M3 - Conference contribution

SN - 9781450327510

SP - 11

EP - 18

BT - Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014

PB - Association for Computing Machinery

ER -