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Enter Your Dinner Now!: Uncovering Persuasive Message Attributes in Tracking Reminders that Motivate Logging

Authors:

Lewen WeiAuthors Info & Claims

PervasiveHealth '20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare

Pages 122 - 132

https://doi.org/10.1145/3421937.3422014

Published: 02 February 2021 Publication History

Abstract

Continuous tracking of information is critical for meaningful self-reflection and self-monitoring, but people often forget to log their information in tracking devices. Research indicates that tracking reminders can successfully remind people to log their information, yet, little is known about what make reminders (in)effective. We extend prior work by identifying message attributes in tracking reminders that people find most effective in motivating them to log. To address this overarching research goal, we conducted two online studies where participants evaluated and designed tracking reminders. In Study 1, participants (N = 135) evaluated a set of tracking reminders for different behaviors (e.g., breakfast, weight) from popular fitness tracking apps on several dimensions such as the persuasiveness of each reminder. We found that participants liked reminders that were straightforward, encouraging, goal specific, and positive. In Study 2, participants (N = 100) designed a reminder for different behaviors (i.e., breakfast, lunch, dinner, weight, and exercise) that would successfully motivate them to log. Through thematic analysis of participants' self-created reminders, we again found prominent message attributes that had emerged in Study 1 and also uncovered novel message attributes, including personalization, humor, and friend-like. Design implications are discussed in light of our findings.

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Cited By

Ankrah ECibrian FSilva LTavakoulnia ABeltran JSchuck SLakes KHayes G(2023)Me, My Health, and My Watch: How Children with ADHD Understand Smartwatch Health DataACM Transactions on Computer-Human Interaction10.1145/357700830:4(1-25)Online publication date: 12-Sep-2023
https://dl.acm.org/doi/10.1145/3577008
Kornfield RMeyerhoff JStudd HBhattacharjee AWilliams JReddy MMohr D(2022)Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young AdultsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502046(1-16)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502046

Index Terms

Enter Your Dinner Now!: Uncovering Persuasive Message Attributes in Tracking Reminders that Motivate Logging
1. Applied computing
  1. Life and medical sciences
    1. Health informatics
2. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile devices
      1. Smartphones

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PervasiveHealth '20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 2020

446 pages

ISBN:9781450375320

DOI:10.1145/3421937

Editors:
Sean A. Munson
Human Centered Design & Engineering, University of Washington
,
Stephen M. Schueller
University of California, Irvine
,
General Chair:
Rosa Arriaga
Georgia Institute of Technology, USA

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 02 February 2021

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PervasiveHealth '20

PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 18 - 20, 2020

GA, Atlanta, USA

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PervasiveHealth '20 Paper Acceptance Rate 55 of 116 submissions, 47%;

Overall Acceptance Rate 55 of 116 submissions, 47%

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Cited By

Ankrah ECibrian FSilva LTavakoulnia ABeltran JSchuck SLakes KHayes G(2023)Me, My Health, and My Watch: How Children with ADHD Understand Smartwatch Health DataACM Transactions on Computer-Human Interaction10.1145/357700830:4(1-25)Online publication date: 12-Sep-2023
https://dl.acm.org/doi/10.1145/3577008
Kornfield RMeyerhoff JStudd HBhattacharjee AWilliams JReddy MMohr D(2022)Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young AdultsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502046(1-16)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502046

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