Publication detail

What you want to do next: A novel approach for intent prediction in gaze-based interaction

BEDNAŘÍK, R. VRZÁKOVÁ, H. HRADIŠ, M.

Original Title

What you want to do next: A novel approach for intent prediction in gaze-based interaction

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

(Recieved best paper honorable mention award.) Interaction intent prediction and the Midas touch have been a longstanding challenge for eye-tracking researchers and users of gaze-based interaction. Inspired by machine learning approaches in biometric person authentication, we developed and tested an offline framework for task-independent prediction of interaction intents. We describe the principles of the method, the features extracted, normalization methods, and evaluation metrics. We systematically evaluated the proposed approach on an example dataset of gaze-augmented problem-solving sessions, and we present results of the three normalization methods, different feature sets and fusion of multiple feature types. Our results show that accuracy of up to 76 % can be achieved with Area Under Curve around 80 %. We discuss the possibility of applying the results for an online system capable of interaction intent prediction.

Keywords

gaze-based interaction, Midas touch, machine learn-ing, activity detection

Authors

BEDNAŘÍK, R.; VRZÁKOVÁ, H.; HRADIŠ, M.

RIV year

2012

Released

28. 3. 2012

Publisher

Association for Computing Machinery

Location

Santa Barbara

ISBN

978-1-4503-1221-9

Book

ETRA '12 Proceedings of the Symposium on Eye Tracking Research and Applications

Pages from

83

Pages to

90

Pages count

8

BibTex

@inproceedings{BUT91283,
  author="Roman {Bednařík} and Hana {Vrzáková} and Michal {Hradiš}",
  title="What you want to do next: A novel approach for intent prediction in gaze-based interaction",
  booktitle="ETRA '12 Proceedings of the Symposium on Eye Tracking Research and Applications",
  year="2012",
  pages="83--90",
  publisher="Association for Computing Machinery",
  address="Santa Barbara",
  doi="10.1145/2168556.2168569",
  isbn="978-1-4503-1221-9"
}