research-article

Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition

Authors:

Michael S. BernsteinAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 2, Issue CSCW

Article No.: 95, Pages 1 - 25

https://doi.org/10.1145/3274364

Published: 01 November 2018 Publication History

Abstract

Behavior change systems help people manage their time online and achieve many other goals. These systems typically consist of a single static intervention, such as a timer or site blocker, to persuade users to behave in ways consistent with their stated goals. However, static interventions decline in effectiveness over time as users begin to ignore them. In this paper, we compare the effectiveness of static interventions to a rotation strategy, where users experience different interventions over time. We built and deployed a browser extension called HabitLab, which features many interventions that the user can enable across social media and other web sites to control their time spent browsing. We ran three in-the-wild field experiments on HabitLab to compare static interventions to rotated interventions. We found that rotating between interventions increased effectiveness as measured by time on site, but also increased attrition: more users uninstalled HabitLab. To minimize attrition, we introduced a just-in-time information design about rotation. This design reduced attrition rates by half. With this research, we suggest that interaction design, paired with rotation of behavior change interventions, can help users gain control of their online habits.

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Index Terms

Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. HCI design and evaluation methods
      1. Field studies

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 2, Issue CSCW

November 2018

4104 pages

EISSN:2573-0142

DOI:10.1145/3290265

Editors:
Karrie Karahalios
University of Illinois & Adobe
,
Andrés Monroy-Hernández
Snap Inc.
,
Airi Lampinen
Stockholm University
,
Geraldine Fitzpatrick
Vienna University of Technology

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Copyright © 2018 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2018

Published in PACMHCI Volume 2, Issue CSCW

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Shahu APechstein FMichahelles F(2024)Beyond Screen Time: Exploring Smartwatch Interventions for Digital Well-BeingProceedings of Mensch und Computer 202410.1145/3670653.3670674(83-98)Online publication date: 1-Sep-2024
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Jia CLam MMai MHancock JBernstein M(2024)Embedding Democratic Values into Social Media AIs via Societal Objective FunctionsProceedings of the ACM on Human-Computer Interaction10.1145/36410028:CSCW1(1-36)Online publication date: 26-Apr-2024
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Lyngs ULukoff KSlovak PInzlicht MFreed MAndrews HTinsman CCsuka LAlberts LOldemburgo De Mello VMakransky GHornbæk KVan Kleek MShadbolt N(2024)“I finally felt I had the tools to control these urges”: Empowering Students to Achieve Their Device Use Goals With the Reduce Digital Distraction WorkshopProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642946(1-23)Online publication date: 11-May-2024
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Monge Roffarello ADe Russis L(2024)Hey StepByStep! Can you teach me how to use my phone better?International Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103195183:COnline publication date: 14-Mar-2024
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Biedermann DKister SBreitwieser JWeidlich JDrachsler H(2024)Use of digital self-control tools in higher education – a survey studyEducation and Information Technologies10.1007/s10639-023-12198-229:8(9645-9666)Online publication date: 1-Jun-2024
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