Collecting Longitudinal Psychophysiological Data in Remote Settings: A Feasibility Study

Sara-Maude Poirier (), Félix Giroux (), Pierre-Majorique Léger (), Frédérique Bouvier (), David Brieugne (), Shang-Lin Chen () and Sylvain Sénécal ()
Additional contact information
Sara-Maude Poirier: HEC Montréal
Félix Giroux: HEC Montréal
Pierre-Majorique Léger: HEC Montréal
Frédérique Bouvier: HEC Montréal
David Brieugne: HEC Montréal
Shang-Lin Chen: HEC Montréal
Sylvain Sénécal: HEC Montréal

A chapter in Information Systems and Neuroscience, 2022, pp 179-186 from Springer

Abstract: Abstract Research methods to better understand the habituation process of individuals’ repeated task performance are constantly improving. However, data collection methods from a longitudinal perspective have been overlooked. Thus, the aim of this study is to explore the feasibility of collecting psychophysiological data remotely over several days. Through a five-days longitudinal study, behavioral data, facial emotions, and electrodermal activity were collected remotely. Behavioral results revealed that consumers tend to improve their performance in executing the tasks over time, regardless of their difficulty levels. Psychophysiological data showed that negative emotions were experienced by participants on Day 3 and tend to decrease on Day 5. Thus, it is possible that the novelty of the first remote session on Day 1 prevented participants from expressing negatives emotions even if they found the tasks difficult. This study highlights potential limitations of cross-sectional studies investigating the habituation process and validates the feasibility of conducting longitudinal psychophysiological data collection remotely in a naturalistic setting.

Keywords: Longitudinal study; Remote data collection; NeuroIS; Psychophysiological; Habituation; Facial expressions; Electrodermal activity (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-13064-9_19

Ordering information: This item can be ordered from
http://www.springer.com/9783031130649

DOI: 10.1007/978-3-031-13064-9_19

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().