Cited by 194Behavioral Health and InterventionsInnovative Human-Technology InteractionBehavioral and Psychological Studies

Using feedback through digital technology to disrupt and change habitual behavior: A critical review of current literature

Open access
Hermsen, Sander, Frost, Jeana, Renes, Reint Jan, Kerkhof, Peter·2016·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2015.12.023

Cites

155 of 155 references verified0 citation errors · 0 not checkable

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Cites

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3 of the 158 references couldn’t be matched to a known paper.

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Authors
Hermsen, S., Frost, J., Renes, R. J., & Kerkhof, P.
Affiliations
  • University of Applied Sciences Utrecht (NL)
  • Vrije Universiteit Amsterdam (NL)
Corresponding author
Hermsen, Sander
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2016-04
Volume
57
Pages
61-74
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2203505108
Cited by
194
References
158
Citations by year
2026: 7 · 2025: 18 · 2024: 16 · 2023: 24 · 2022: 25 · 2021: 22 · 2020: 20 · 2019: 25 · 2018: 14 · 2017: 17 · 2016: 6
FWCI
19.99
Type
journal article
Language
en
Open access
Locations
  • Computers in Human Behavior (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • VU Research Portal (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
  • Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
Keywords
habit change, habitual behavior, feedback, digital technologies, self-monitoring, habit disruption, feedback characteristics, sustained behavior change

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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