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Advances in Longitudinal HCI ResearchRecommendations for Conducting Longitudinal Experience Sampling Studies

Advances in Longitudinal HCI Research: Recommendations for Conducting Longitudinal Experience... [The Experience Sampling Method is used to collect participant self-reports over extended observation periods. These self-reports offer a rich insight into the individual lives of study participants by intermittently asking participants a set of questions. However, the longitudinal and repetitive nature of this sampling approach introduces a variety of concerns regarding the data contributed by participants. A decrease in participant interest and motivation may negatively affect study adherence, as well as potentially affecting the reliability of participant data. In this chapter, we reflect on a number of studies that aim to understand better participant performance with Experience Sampling. We discuss the main issues relating to participant data for longitudinal studies and provide hands-on recommendations for researchers to remedy these concerns in their own studies.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Advances in Longitudinal HCI ResearchRecommendations for Conducting Longitudinal Experience Sampling Studies

Part of the Human–Computer Interaction Series Book Series
Editors: Karapanos, Evangelos; Gerken, Jens; Kjeldskov, Jesper; Skov, Mikael B.
van Berkel, Niels; Kostakos, Vassilis
Advances in Longitudinal HCI Research — Aug 12, 2021
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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2021
ISBN
978-3-030-67321-5
Pages
59 –78
DOI
10.1007/978-3-030-67322-2_4
Publisher site
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Abstract

[The Experience Sampling Method is used to collect participant self-reports over extended observation periods. These self-reports offer a rich insight into the individual lives of study participants by intermittently asking participants a set of questions. However, the longitudinal and repetitive nature of this sampling approach introduces a variety of concerns regarding the data contributed by participants. A decrease in participant interest and motivation may negatively affect study adherence, as well as potentially affecting the reliability of participant data. In this chapter, we reflect on a number of studies that aim to understand better participant performance with Experience Sampling. We discuss the main issues relating to participant data for longitudinal studies and provide hands-on recommendations for researchers to remedy these concerns in their own studies.]

Published: Aug 12, 2021

Keywords: Experience sampling method; Ecological momentary assessment; ESM; EMA; Self-report; Data quality; Reliability

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