Investigating Contextual Cues as Indicators for EMA Delivery

Authors

Varun Mishra, Dartmouth College
Byron Lowens, Clemson University
Sarah Lord, Dartmouth College
Kelly Caine, Clemson UniversityFollow
David Kotz, Dartmouth College

Document Type

Technical Report

Publication Date

4-2018

Technical Report Number

TR2018-842

Abstract

In this work, we attempt to determine whether the contextual information of a participant can be used to predict whether the participant will respond to a particular Ecological Momentary Assessment (EMA) prompt. We use a publicly available dataset for our work, and find that by using basic contextual features about the participant's activity, conversation status, audio, and location, we can predict whether an EMA prompt triggered at a particular time will be answered with a precision of 0.647, which is significantly higher than a baseline precision of 0.410. Using this knowledge, the researchers conducting field studies can efficiently schedule EMA prompts and achieve higher response rates.

Comments

Expanded version of the UbiTtention 2017 paper by the same title.

Dartmouth Digital Commons Citation

Mishra, Varun; Lowens, Byron; Lord, Sarah; Caine, Kelly; and Kotz, David, "Investigating Contextual Cues as Indicators for EMA Delivery" (2018). Computer Science Technical Report TR2018-842. https://digitalcommons.dartmouth.edu/cs_tr/352