Cited by 205Impact of Technology on AdolescentsInnovative Human-Technology InteractionPersonal Information Management and User Behavior

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

What Makes Smartphone Use Meaningful or Meaningless?

Lukoff, Kai, Yu, Cissy, Kientz, Julie, Hiniker, Alexis·2018·Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Abstract

Prior research indicates that many people wish to limit aspects of their smartphone use. Why is it that certain smartphone use feels so meaningless? We examined this question by using interviews, the experience sampling method, and mobile logging of 86,402 sessions of app use. One motivation for use (habitual use to pass the time) and two types of use (entertainment and passive social media) were associated with a lower sense of meaningfulness. In interviews, participants reported feeling a loss of autonomy when using their phone in these ways. These reports were corroborated by experience sampling data showing that motivation to achieve a specific purpose declined over the course of app use, particularly for passive social media and entertainment usage. In interviews, participants pointed out that even when smartphone use itself was meaningless, it could sometimes still be meaningful in the context of broader life as a 'micro escape' from negative situations. We discuss implications for how mobile apps can be used and designed to reduce meaningless experiences.

Overview

Integrity signals

Registry

Crossref · 10.1145/3191754

Cites

76 of 76 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 8

  1. 10.5555/3153564 · DOI
  2. 10.5555/2627995 · DOI
  3. 10.5555/1855023 · DOI
  4. Markus Löchtefeld, Matthias Böhmer, and Lyubomir Ganev. 2013. AppDetox. In Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia - MUM '13, 1--2.
  5. Stacey Morrison and Ricardo Gomez. 2013. Pushback: The Growth of Expressions of Resistance to Constant Online Connectivity Methods: A Literature Review on Pushback. 1--15.
  6. Lee Rainie, Aaron Smith, and Maeve Duggan. 2013. Coming and going on Facebook. Pew Research Center's Internet and American Life Project.
  7. Alan M Rubin. 2009. Uses and gratifications. The SAGE handbook of media processes and effects.
  8. Thomas E Ruggiero. 2009. Mass Communication and Society Uses and Gratifications Theory in the 21st Century. June 2014: 37--41.

Cited by

Sorted by citations

See all 205

Metadata

Authors
Lukoff, K., Yu, C., Kientz, J., & Hiniker, A.
Affiliations
  • University of Washington (US)
  • Brown University (US)
Venue
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Published
2018-03-26
Volume
2
Issue
1
Pages
1-26
ISSN
2474-9567 (ISSN-L)
OpenAlex
W2794622338
Cited by
205
References
76
Citations by year
2026: 24 · 2025: 32 · 2024: 29 · 2023: 34 · 2022: 33 · 2021: 26 · 2020: 14 · 2019: 12 · 2018: 1
FWCI
30.16
Type
journal article
Language
en
Open access
closed
Locations
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (publishedVersion)
Funders
  • NSF (#IIS-1553167)
  • Intel Science & Technology Center on Pervasive Computing
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
  • Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
Keywords
smartphone use, meaningfulness, habituation, entertainment use, loss of autonomy, mobile application design

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review