%0 Conference Paper %1 info3-inproceedings-2015-505 %A Lebreton, Pierre %A Mäki, Toni %A Skodras, Evangelos %A Hupont Torres, Isabelle %A Hirth, Matthias %B SPIE 9394, Human Vision and Electronic Imaging XX %C San Francisco, USA %D 2015 %K myown crowdsourcing-design %T Bridging the Gap Between Eye Tracking and Crowdsourcing %X Visual attention studies aim at understanding how people scan images or videos. However, these types of studies require dedicated equipment such as IR-based eye trackers, which can be highly expensive. Moreover, one of the challenges with visual attention studies is that they require a large amount of tests to go beyond individuals. They are time consuming, may be intrusive and require specific setup that can be only obtained in a laboratory environment. This paper proposes a novel framework enabling crowd-sourced eye tracking tests using a standard web-cam and web-based techniques, to collect visual attention information from the users while interacting with the contents in ecologically valid environments. The performance of the preliminary user tests is promising and paves the way for low-cost universal eye tracking.

@inproceedings{info3-inproceedings-2015-505, abstract = {Visual attention studies aim at understanding how people scan images or videos. However, these types of studies require dedicated equipment such as IR-based eye trackers, which can be highly expensive. Moreover, one of the challenges with visual attention studies is that they require a large amount of tests to go beyond individuals. They are time consuming, may be intrusive and require specific setup that can be only obtained in a laboratory environment. This paper proposes a novel framework enabling crowd-sourced eye tracking tests using a standard web-cam and web-based techniques, to collect visual attention information from the users while interacting with the contents in ecologically valid environments. The performance of the preliminary user tests is promising and paves the way for low-cost universal eye tracking.}, added-at = {2016-03-10T17:38:27.000+0100}, address = {San Francisco, USA}, author = {Lebreton, Pierre and Mäki, Toni and Skodras, Evangelos and Hupont Torres, Isabelle and Hirth, Matthias}, biburl = {https://www.bibsonomy.org/bibtex/20fac37a282cced0892a8d824fa1c0434/uniwue_info3}, booktitle = {SPIE 9394, Human Vision and Electronic Imaging XX}, interhash = {68194da0fd0ccc2fc480ef2ebd725761}, intrahash = {0fac37a282cced0892a8d824fa1c0434}, keywords = {myown crowdsourcing-design}, month = {2}, timestamp = {2022-03-14T00:11:06.000+0100}, title = {Bridging the Gap Between Eye Tracking and Crowdsourcing}, year = 2015 }