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Authors: Elise Labonte-LeMoyne ; François Courtemanche ; Marc Fredette and Pierre-Majorique Léger

Affiliation: Tech3Lab, HEC Montreal, Montreal, Quebec, Canada

ISBN: 978-989-758-329-2

ISSN: 2184-321X

Keyword(s): Ecological Validity, In-the-Wild, Representative Design, Physiological Computing.

Abstract: While many call for increased ecological validity in physiological computing research, implementing very naturalistic studies can be challenging. In this paper, we present a way to quantify ecological validity to allow comparisons between studies. We also present a critical look at four types of studies that have emerged from quantifying the ecological validity of our past experiments. Finally, we provide recommendations and lessons learned from our own work conducting studies that span a wide range of levels of ecological validity for researchers who wish to do more in the wild research.

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Paper citation in several formats:
Labonte-LeMoyne, E.; Courtemanche, F.; Fredette, M. and Léger, P. (2018). How Wild Is Too Wild: Lessons Learned and Recommendations for Ecological Validity in Physiological Computing Research.In Proceedings of the 5th International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-329-2, ISSN 2184-321X, pages 123-130. DOI: 10.5220/0006962901230130

@conference{phycs18,
author={Elise Labonte{-}LeMoyne. and Fran\c{C}ois Courtemanche. and Marc Fredette. and Pierre{-}Majorique Léger.},
title={How Wild Is Too Wild: Lessons Learned and Recommendations for Ecological Validity in Physiological Computing Research},
booktitle={Proceedings of the 5th International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2018},
pages={123-130},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006962901230130},
isbn={978-989-758-329-2},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - How Wild Is Too Wild: Lessons Learned and Recommendations for Ecological Validity in Physiological Computing Research
SN - 978-989-758-329-2
AU - Labonte-LeMoyne, E.
AU - Courtemanche, F.
AU - Fredette, M.
AU - Léger, P.
PY - 2018
SP - 123
EP - 130
DO - 10.5220/0006962901230130

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