Abstract
BackgroundEcological momentary assessment (EMA) enables individuals to self-report their subjective momentary physical and emotional states. However, certain conditions, including routine observable behaviors (eg, moods, medication adherence) as well as behaviors that may suggest declines in physical or mental health (eg, memory losses, compulsive disorders) cannot be easily and reliably measured via self-reports.ObjectiveThis study aims to examine a method complementary to EMA, denoted as peer-ceived momentary assessment (PeerMA), which enables the involvement of peers (eg, family members, friends) to report their perception of the individual’s subjective physical and emotional states. In this paper, we aim to report the feasibility results and identified human factors influencing the acceptance and reliability of the PeerMAMethodsWe conducted two studies of 4 weeks each, collecting self-reports from 20 participants about their stress, fatigue, anxiety, and well-being, in addition to collecting peer-reported perceptions from 27 of their peers.ResultsPreliminary results showed that some of the peers reported daily assessments for stress, fatigue, anxiety, and well-being statistically equal to those reported by the participant. We also showed how pairing assessments of participants and peers in time enables a qualitative and quantitative exploration of unique research questions not possible with EMA-only based assessments. We reported on the usability and implementation aspects based on the participants’ experience to guide the use of the PeerMA to complement the information obtained via self-reports for observable behaviors and physical and emotional states among healthy individuals.ConclusionsIt is possible to leverage the PeerMA method as a complement to EMA to assess constructs that fall in the realm of observable behaviors and states in healthy individuals.
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Forecasting Smartphone Application Chains: an App-Rank Based Approach;Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia;2023-12-03
2. A Longitudinal Analysis of Real-World Self-report Data;Human-Computer Interaction – INTERACT 2023;2023
3. Less annoying;Proceedings of the 13th ACM Multimedia Systems Conference;2022-06-14
4. Tangible Self-Report Devices: Accuracy and Resolution of Participant Input;Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction;2022-02-13
5. The Importance of Smartphone Connectivity in Quality of Life;Quantifying Quality of Life;2022