@inproceedings{a59f5ecf61cf49daac8a44d151554665,
title = "A Longitudinal Analysis of Real-World Self-report Data",
abstract = "While self-report studies are common in Human-Computer Interaction research, few evaluations have assessed their long term use. We present a longitudinal analysis of a web-based workplace application that collects well-being assessments and offers suggestions to improve individual, team, and organisational performance. Our dataset covers 219 users. We assess their first year of application use, focusing on their usage patterns, well-being evaluations, and behaviour towards notifications. Our results highlight that the drop-off in use was the steepest in the first week (-24.2%). However, substantial breaks in usage were common and did not necessarily result in dropout. We found that latency periods of eight days or more predicted a stronger intention to drop out than stay engaged and that reminder notifications did not result in more completed self-reports but significantly prolonged the usage period. Our work strengthens findings related to high drop out rates, but also provides counter-evidence by showing that despite individuals appearing to drop-off in short-term studies, individuals can and do return to self-report applications after extensive breaks. We contribute an analysis of usage behaviour drivers in the area of technology-enabled well-being measurement, responding to the call for longer-term research to extend the growing literature on self-report studies.",
keywords = "diary study, experience sampling, longitudinal, Self-report, well-being",
author = "{van Berkel}, Niels and Sujay Shalawadi and Evans, {Madeleine R.} and Aku Visuri and Simo Hosio",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 19th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2023 ; Conference date: 28-08-2023 Through 01-09-2023",
year = "2023",
doi = "10.1007/978-3-031-42286-7_34",
language = "English",
isbn = "978-3-031-42285-0",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "611--632",
editor = "{Abdelnour Nocera}, Jos{\'e} and {Krist{\'i}n L{\'a}rusd{\'o}ttir}, Marta and Helen Petrie and Antonio Piccinno and Marco Winckler",
booktitle = "Human-Computer Interaction – INTERACT 2023",
address = "Germany",
}