@inproceedings{47a89d8ffc984b2e9d78790102caeeec,
title = "Real-time stealth intervention for motor learning using player flow-state",
abstract = "We present a novel approach to real-time adaptation in serious games for at-home motor learning. Our approach assesses and responds to the 'flow-state' of players by tracking and classifying facial emotions in real-time using the Kinect camera. Three different approaches for stealth assessment and adaptation using performance and flow-state data are defined, along with a case-study evaluation of these approaches based on their effectiveness at maintaining positive affective interaction in a subject.",
keywords = "affective design, autonomous training, flow-state evaluation, serious games, stealth adaptation",
author = "Ramin Tadayon and Ashish Amresh and Troy McDaniel and Sethuraman Panchanathan",
note = "Funding Information: ACKNOWLEDGMENT We would like to thank the National Science Foundation for their funding support. This material is based upon work supported by the NSF under Grant No. 1069125. Funding Information: We would like to thank the National Science Foundation for their funding support. This material is based upon work supported by the NSF under Grant No. 1069125. Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th IEEE International Conference on Serious Games and Applications for Health, SeGAH 2018 ; Conference date: 16-05-2018 Through 18-05-2018",
year = "2018",
month = jun,
day = "29",
doi = "10.1109/SeGAH.2018.8401360",
language = "English (US)",
series = "2018 IEEE 6th International Conference on Serious Games and Applications for Health, SeGAH 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--8",
editor = "Vilaca, {Joao L.} and Duarte Duque and Nuno Rodrigues and Nuno Dias and Thomas Grechenig",
booktitle = "2018 IEEE 6th International Conference on Serious Games and Applications for Health, SeGAH 2018",
}