Detail publikačního výsledku

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

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

Originální název

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

Anglický název

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

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

(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.

Anglický abstrakt

(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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

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

Rok RIV

2013

Vydáno

28.03.2012

Nakladatel

Association for Computing Machinery

Místo

Santa Barbara

ISBN

978-1-4503-1221-9

Kniha

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

Strany od

83

Strany do

90

Strany počet

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"
}