@inproceedings{28ce8e7e31444c65ac52e2e34293fb77,
title = "Multimodal frustration detection on smartphones",
abstract = "Detecting user's frustration on a smartphone could have a significant impact on applications such as intelligent tutoring systems or app testing systems. Our goal is to provide a multimodal frustration detection system using data exclusively retrieved from a smartphone; motion sensor readings, touch gestures and face videos recorded from the smartphone's front camera. Copyright is held by the author/owner(s).",
keywords = "Frustration detection, Multimodal system, Multitask game",
author = "Esther Vasiete and Tom Yeh",
note = "Funding Information: This work was supported by a DARPA grant FA8750-13-2-0279.; 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 ; Conference date: 18-04-2015 Through 23-04-2015",
year = "2015",
month = apr,
day = "18",
doi = "10.1145/2702613.2732867",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "1307--1312",
booktitle = "CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems",
}