|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Title:||Smart photo selection: Interpret gaze as personal interest|
|Citation:||Walber T, Scherp A & Staab S (2014) Smart photo selection: Interpret gaze as personal interest. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. SIGCHI Conference on Human Factors in Computing Systems (CHI 2014), Toronto, Ontario, Canada, 26.04.2014-01.05.2014. New York: ACM, pp. 2065-2074. https://doi.org/10.1145/2556288.2557025|
|Conference Name:||SIGCHI Conference on Human Factors in Computing Systems (CHI 2014)|
|Conference Dates:||2014-04-26 - 2014-05-01|
|Conference Location:||Toronto, Ontario, Canada|
|Abstract:||Manually selecting subsets of photos from large collections in order to present them to friends or colleagues or to print them as photo books can be a tedious task. Today, fully automatic approaches are at hand for supporting users. They make use of pixel information extracted from the images, analyse contextual information such as capture time and focal aperture, or use both to determine a proper subset of photos. However, these approaches miss the most important factor in the photo selection process: the user. The goal of our approach is to consider individual interests. By recording and analysing gaze information from the user's viewing photo collections, we obtain information on user's interests and use this information in the creation of personal photo selections. In a controlled experiment with 33 participants, we show that the selections can be significantly improved over a baseline approach by up to 22% when taking individual viewing behaviour into account. We also obtained significantly better results for photos taken at an event participants were involved in compared with photos from another event.|
|Status:||VoR - Version of Record|
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|Walber et al 2014.pdf||Fulltext - Published Version||1.75 MB||Adobe PDF||Under Permanent Embargo Request a copy|
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