Exploratory analysis of individuals' mobility patterns and experienced conflicts in workgroups
MCSS 2019 - Proceedings of the 5th ACM Workshop on Mobile Systems for Computational Social Science, co-located with MobiSys 2019, Page: 27-31
2019
- 1Citations
- 67Usage
- 13Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Citation Indexes1
- CrossRef1
- Usage67
- Downloads55
- Abstract Views12
- Captures13
- Readers13
- 13
Conference Paper Description
Much research argues the importance of supporting social interactions in teams and communities. The field of mobile sensing alone offers significant advances in recording and understanding human and group behaviours. However, little is known about behavioural changes as a consequence of in-group phenomena. One prominent example is intra-group conflict, which naturally arises between diverse groups of people. We demonstrate the feasibility of our approach to extract mobility patterns of individual's group behaviours sensed from a WiFi indoor localisation system and explore how these patterns relate to their team processes. 62 students enrolled in a project-intensive module, Software Engineering, were tracked over 81 days. Preliminary analysis of mobility patterns and interview data revealed differences in the mobility patterns of individuals based on their experience of conflict.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85069202300&origin=inward; http://dx.doi.org/10.1145/3325426.3329946; https://dl.acm.org/doi/10.1145/3325426.3329946; https://ink.library.smu.edu.sg/sis_research/4932; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=5935&context=sis_research; https://dx.doi.org/10.1145/3325426.3329946
Association for Computing Machinery (ACM)
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