My reading life - Towards utilizing eyetracking on unmodified tablets and phones

UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing

Volumn , Issue , 2013, Pages 283-286

  Kunze, Kai ^a   Utsumi, Yuzuko ^a   Ishimaru, Shoya ^a   Kise, Koichi ^a  

^a Osaka Prefecture University   (Japan)

Author keywords

Eye gaze; Eye tracking; Knowledge; Mobile devices; Reading

Indexed keywords

EYE-GAZE; EYE-TRACKING; INTEGRAL PART; KNOWLEDGE; OPEN LIBRARIES; READING; READING ACTIVITIES;

MOBILE DEVICES; SMARTPHONES;

UBIQUITOUS COMPUTING;

EID: 84885222058     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2494091.2494179     Document Type: Conference Paper

References (16)

1. Biedert, R., Buscher, G., and Dengel, A. The eyebook-using eye tracking to enhance the reading experience. Informatik-Spektrum 33, 3 (2010), 272-281.
2. Biedert, R., Hees, J., Dengel, A., and Buscher, G. A robust realtime reading-skimming classifier. In Proc. ETRA 2012 (2012), 123-130.
3. Bravata, D. M., and Smith-Spangler. Using pedometers to increase physical activity and improve health. The journal of the American Medical Association 298, 19 (2007), 2296-2304.
4. Bulling, A., and Roggen, D. Recognition of visual memory recall processes using eye movement analysis. In Proc. UbiComp 2011 (2011), 455-464.
5. Bulling, A., Ward, J. A., and Gellersen, H. Multimodal Recognition of Reading Activity in Transit Using Body-Worn Sensors. ACM Trans. on Applied Perception 9, 1 (2012), 2:1-2:21.
6. Cunningham, A., and Stanovich, K. What reading does for the mind. Journal of Direct Instruction 1, 2 (2001), 137-149.
7. Doiron, R. Using e-books and e-readers to promote reading in school libraries: Lessons from the field, 2011.
8. Duggan, G. B., and Payne, S. J. Skim reading by satisficing: evidence from eye tracking. In Proc. of CHI 2011 (2011), 1141-1150.
9. Hansen, D. W., and Ji, Q. In the eye of the beholder: A survey of models for eyes and gaze. Pattern Analysis and Machine Intelligence, IEEE Transactions on 32, 3 (2010), 478-500.
10. Hansen, D. W., and Pece, A. E. Eye tracking in the wild. Computer Vision and Image Understanding 98, 1 (2005), 155-181.
11. Holland, C., and Komogortsev, O. Eye tracking on unmodified common tablets: Challenges and solutions. In Proceedings of the Symposium on Eye Tracking Research and Applications, ACM (2012), 277-280.
12. Kunze, K., Bulling, A., Utsumi, Y., Yuki, S., and Kise, K. I know what you are reading - recognition of document types using mobile eye tracking. In in Proc. of ISWC 2013 (2013).
13. Kunze, K., Kawaichi, H., Yoshimura, K., and Kise, K. Towards inferring language expertise using eye tracking. In Ext. Abs. CHI 2013 (2013), 4015-4021.
14. Kunze, K., Kawaichi, H., Yoshimura, K., and Kise, K. The wordmeter - estimating the number of words read using document image retrieval and mobile eye tracking. In Proc. ICDAR 2013 (2013).
15. Loboda, T. D., Brusilovsky, P., and Brunstein, J. Inferring word relevance from eye-movements of readers. In Proc. of IUI '11 (2011), 175-184.
16. Schmidt, A., and Kasinski, A. The performance of the haar cascade classifiers applied to the face and eyes detection. In Computer Recognition Systems 2. Springer, 2007, 816-823.