Students' Experiences with Ecological Momentary Assessment Tools to Report on Emotional Well-being

Author:

Chan Larry1,Swain Vedant Das1,Kelley Christina1,de Barbaro Kaya2,Abowd Gregory D.3,Wilcox Lauren1

Affiliation:

1. Georgia Institute of Technology, School of Interactive Computing, Technology Square Research Building, NW, Atlanta, GA, USA

2. University of Texas at Austin, Department of Psychology, Austin, TX, USA

3. Georgia Institute of Technology, School of Interactive Computing, Technology Square Research Building. NW, Atlanta, GA, USA

Abstract

Ecological Momentary Assessment (EMA) methods have emerged as an approach that enhances the ecological validity of data collected for the study of human behavior and experience. In particular, EMA methods are used to capture individuals' experiences (e.g., symptoms, affect, and behaviors) in real-world contexts and in near-real time. However, work investigating participants' experiences in EMA studies and in particular, how these experiences may influence the collected data, is limited. We conducted in-depth focus groups with 32 participants following an EMA study on mental well-being in college students. In doing so, we probed how the elicitation of high-quality, reflective responses is related to the design of EMA interactions. Through our study, we distilled three primary considerations for designing EMA interactions, based on observations of 1) response strategies to repeated questions, 2) the perceived burden of EMA prompts, and 3) challenges to the validity and robustness of EMA data. We present these considerations in the context of two microinteraction-based EMA approaches that we tested: lock-screen EMA and image-based question prompts. We conclude by characterizing design tensions in the presentation and delivery of EMA prompts, and outline directions for future work to address these tensions.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference40 articles.

1. G. Abowd Y. Han P. Abowd W. Horner S. Tengler and J. Chen. 2014. Systems and methods for utilizing micro-interaction events on computing devices to administer questions. Google Patents. https://www.google.com/patents/US20140298260. G. Abowd Y. Han P. Abowd W. Horner S. Tengler and J. Chen. 2014. Systems and methods for utilizing micro-interaction events on computing devices to administer questions. Google Patents. https://www.google.com/patents/US20140298260.

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