The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Dealing with mobility: understanding access anytime, anywhere
Open accessAbstract
The rapid and accelerating move towards use of mobile technologies has increasingly provided people and organizations with the ability to work away from the office and on the move. The new ways of working afforded by these technologies are often characterized in terms of access to information and people anytime, anywhere. This article presents a study of mobile workers that highlights different facets of access to remote people and information, and different facets of anytime, anywhere. Four key factors in mobile work are identified: the role of planning, working in "dead time," accessing remote technological and informational resources, and monitoring the activities of remote colleagues. By reflecting on these issues, we can better understand the role of technology and artifacts in mobile work and identify the opportunities for the development of appropriate technological solutions to support mobile workers.
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Cites
Proceedings of the 2013 conference on Computer supported cooperative work
(2013) · doi:10.1145/2441776 · Cited by 601
Cited by
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Lee, S. H., Nurmatov, U. B., Nwaru, B. I., Mukherjee, M., Grant, L., & Pagliari, C. (2016) · Journal of Global Health · doi:10.7189/jogh.06.010401 · Cited by 456
A Review of Mobile HCI Research Methods
Kjeldskov, J., & Graham, C. (2003) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-45233-1_23 · Cited by 375
The use of travel time by rail passengers in Great Britain
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Metadata
- Authors
- Perry, M., O'hara, K., Sellen, A., Brown, B., & Harper, R.
- Venue
- ACM Transactions on Computer-Human Interaction
- Published
- 2001-12
- Volume
- 8
- Issue
- 4
- Pages
- 323-347
- ISSN
- 1073-0516 (ISSN-L)
- 1557-7325
- OpenAlex
- W2107163126
- Cited by
- 537
- References
- 1
- FWCI
- 92.49
- Type
- journal article
- Language
- en
- Open access
- green
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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.
