The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays
Abstract
Personal, mobile displays, such as those on mobile phones, are ubiquitous, yet for the most part, underutilized. We present results from a field experiment that investigated the effectiveness of these displays as a means for improving awareness of daily life (in our case, self-monitoring of physical activity). Twenty-eight participants in three experimental conditions used our UbiFit system for a period of three months in their day-to-day lives over the winter holiday season. Our results show, for example, that participants who had an awareness display were able to maintain their physical activity level (even during the holidays), while the level of physical activity for participants who did not have an awareness display dropped significantly. We discuss our results and their general implications for the use of everyday mobile devices as awareness displays.
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Wang, Y., Fadhil, A., & Reiterer, H. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1901.10449 · Cited by 7
Metadata
- Authors
- Consolvo, S., Klasnja, P., McDonald, D. W., Avrahami, D., Froehlich, J., LeGrand, L., Libby, R., Mosher, K., & Landay, J. A.
- Affiliations
- Intel (United States) (US)
- University of Washington (US)
- Venue
- Proceedings of the 10th international conference on Ubiquitous computing
- Publisher
- ACM
- Published
- 2008-09-21
- Pages
- 54-63
- OpenAlex
- W2120909070
- Semantic Scholar
- 343e3ac0623c21ce1a82a35eee3021c037a427ad
- Cited by
- 397
- References
- 16
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 7 · 2023: 10 · 2022: 14 · 2021: 17 · 2020: 20 · 2019: 17 · 2018: 34 · 2017: 24 · 2016: 40 · 2015: 27 · 2014: 42 · 2013: 42 · 2012: 23
- FWCI
- 16.73
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- mobile displays, self-monitoring, physical activity, mobile devices, holiday season, behavior maintenance, ubiquitous computing, field experiments
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.
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