Paper at UbiComp 2016
We will present the following full paper at the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016):
 | Mohamed Khamis; Ozan Saltuk; Alina Hang; Katharina Stolz; Andreas Bulling; Florian Alt TextPursuits: Using Text for Pursuits-Based Interaction and Calibration on Public Displays Inproceedings Proc. of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pp. 274-285, 2016. @inproceedings{Khamis16_ubicomp, title = {TextPursuits: Using Text for Pursuits-Based Interaction and Calibration on Public Displays}, author = {Mohamed Khamis and Ozan Saltuk and Alina Hang and Katharina Stolz and Andreas Bulling and Florian Alt}, url = {https://perceptual.mpi-inf.mpg.de/files/2016/08/khamis16_ubicomp.pdf}, doi = {10.1145/2971648.2971679}, year = {2016}, date = {2016-06-08}, booktitle = {Proc. of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)}, journal = {Proc. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)}, pages = {274-285}, abstract = {Pursuits, a technique that correlates users’ eye movements with moving on-screen targets, was recently introduced for calibration-free interaction with public displays. While prior work used abstract objects or dots as targets, we explore the use of Pursuits with text (read-and-pursue). Given that much of the content on public displays includes text, designers could greatly benefit from users being able to spontaneously interact and implicitly calibrate an eye tracker while simply read- ing text on a display. At the same time, using Pursuits with textual content is challenging given that the eye movements performed while reading interfere with the pursuit movements. We present two systems, EyeVote and Read2Calibrate, that enable spontaneous gaze interaction and implicit calibration by reading text. Results from two user studies (N=37) show that Pursuits with text is feasible and can achieve similar accu- racy as non text-based pursuit approaches. While calibration is less accurate, it integrates smoothly with reading and allows to identify areas of the display the user is looking at.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Pursuits, a technique that correlates users’ eye movements with moving on-screen targets, was recently introduced for calibration-free interaction with public displays. While prior work used abstract objects or dots as targets, we explore the use of Pursuits with text (read-and-pursue). Given that much of the content on public displays includes text, designers could greatly benefit from users being able to spontaneously interact and implicitly calibrate an eye tracker while simply read- ing text on a display. At the same time, using Pursuits with textual content is challenging given that the eye movements performed while reading interfere with the pursuit movements. We present two systems, EyeVote and Read2Calibrate, that enable spontaneous gaze interaction and implicit calibration by reading text. Results from two user studies (N=37) show that Pursuits with text is feasible and can achieve similar accu- racy as non text-based pursuit approaches. While calibration is less accurate, it integrates smoothly with reading and allows to identify areas of the display the user is looking at. |
