Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 810

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Computing in Everyday Life: A Call for Research on Experiential Computing1

Yoo, Youngjin·2010·MIS Quarterly

Abstract

The information systems field emerged as a new discipline of artificial science as a result of intellectual efforts to understand the nature and consequences of computer and communication technology in modern organizations. As the rapid development of digital technology continues to make computers and computing a part of everyday experiences, we are once again in need of a new discipline of the artificial. In this essay, I argue that the IS community must expand its intellectual boundaries by embracing experiential computing as an emerging field of inquiry in order to fill this growing intellectual void. Experiential computing involves digitally mediated embodied experiences in everyday activities through everyday artifacts that have embedded computing capabilities. Experiential computing is enabled by the mediation of four dimensions of human experiences (time, space, actors, and artifacts) through digital technology. Drawing on a research framework that encompasses both behavioral and design sciences, six research opportunities that the IS research community can explore are suggested. Ultimately, I propose that the IS field return to its roots, the science of the artificial, by decisively expanding the scope of its inquiry and establishing a new domain of research on computing in everyday life experiences.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/20721425

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 12 references

Cited by

See all 810

Metadata

Authors
Yoo, Y.
Venue
MIS Quarterly
Publisher
MIS Quarterly
Published
2010-06-01
Volume
34
Issue
2
Pages
213-231
ISSN
  • 0276-7783 (ISSN-L)
  • 2162-9730
OpenAlex
W1608386600
Cited by
810
References
12
FWCI
141.90
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Computing in Everyday Life: A Call for Research on Experiential Computing1. https://app.cochat.ai/papers/10.2307/20721425
The paper
Yoo, Y. (2010). Computing in Everyday Life: A Call for Research on Experiential Computing1. MIS Quarterly. https://doi.org/10.2307/20721425

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.