Complementing human behavior assessment by leveraging personal ubiquitous devices and social links: An evaluation of the peerceived momentary assessment method

Research output: Contribution to journalJournal articleResearchpeer-review

Documents

Background: Ecological 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. 

Objective: This 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 PeerMA. 

Methods: We 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. 

Results: Preliminary 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. 

Conclusions: It 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.

Original languageEnglish
Article numbere15947
JournalJMIR mHealth and uHealth
Volume8
Issue number8
Number of pages26
ISSN2291-5222
DOIs
Publication statusPublished - 2020

    Research areas

  • Behavior modeling, Digital health, Ecological momentary assessment, EMA, Human state assessment, Human-smartphone interaction, Mobile phone, Peer-ceived Momentary Assessment, PeerMA, Well-being

Number of downloads are based on statistics from Google Scholar and www.ku.dk


No data available

ID: 247498070