CoChat
Sign Up
Cited by 234Technology Use by Older AdultsContext-Aware Activity Recognition SystemsInnovative Human-Technology Interaction

The DOI matches its Crossref record; 15 of the 16 references it cites were found in a registry or an index.

Aware technologies for aging in place: understanding user needs and attitudes

Mynatt, E.D., Melenhorst, A.-S., Fisk, A.-D., Rogers, W.A.·2004·IEEE Pervasive Computing
DOI 10.1109/mprv.2004.1316816
Open this paper in CoChat — free account

Abstract

Although computing technology has made inroads into home environments, it has yet to instigate a major shift in the design of homes or home activities. The convergence of television and the Internet is lagging behind expectations, and the combination of desktop computers, entertainment consoles, televisions, and cell phones has yet to form a cohesive whole. One possible reason for this lag in progress is that these technologies don't address a coherent need -they merely augment current entertainment and communication practices. We base our research on the premise that the next revolution of technology in the home will arise from devices that help older adults maintain their independence. A coherent suite of technologies will eventually let older adults be proactive about their own healthcare, will aid them in daily activities and help them learn new skills, will create new avenues for social communication, and will help ensure their safety and well being. The Aware Home Research initiative hopes to help older adults "age in place" by creating devices that can assist with daily tasks, offer memory support, and monitor daily activities. However, understanding user needs and attitudes is essential to deploying this technology.

Overview

Integrity signals

Registry

Crossref · 10.1109/mprv.2004.1316816

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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

Flagged first, then by citations

Show all 16 references

1 of the 16 references couldn’t be matched to a known paper.

Research works printed but not linked: 4

  1. Bayer, 2000, Fixing to Stay: A National Survey on Housing and Home Modification Issues—Executive Summary, Am. Assoc. Retired Persons
  2. Shafer, 2000, Housing America’s Seniors
  3. Willis, 1996, Everyday Problem Solving, 287
  4. 10.1037/0882-7974.6.2.238 · DOI

Cited by

Sorted by citations

Items 201–233 of 233

Related

See all

Metadata

Authors
Mynatt, E. D., Melenhorst, A.-S., Fisk, A.-D., & Rogers, W. A.
Affiliations
Georgia Institute of Technology (US)
ORCID
Venue
IEEE Pervasive Computing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2004-04
Volume
3
Issue
2
Pages
36-41
ISSN
1536-1268 (ISSN-L)
DOI
10.1109/mprv.2004.1316816
OpenAlex
W2168804114
Cited by
234
References
16
Citations by year
2026: 1 · 2025: 3 · 2024: 7 · 2023: 6 · 2022: 10 · 2021: 5 · 2020: 6 · 2019: 10 · 2018: 11 · 2017: 14 · 2016: 12 · 2015: 7 · 2014: 10 · 2013: 13 · 2012: 23
FWCI
19.92
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
IEEE Pervasive Computing (publishedVersion)
Funders
National Science Foundation
Topics
  • Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
aging in place, older adults, home computing, user needs, user attitudes, assistive technology, memory support, activity monitoring, independent living, social communication

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