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Mendeley readers
Attention Score in Context
| Title |
Activity Sculptures: Exploring the Impact of Physical Visualizations on Running Activity
|
|---|---|
| Published in |
IEEE Transactions on Visualization and Computer Graphics, October 2014
|
| DOI | 10.1109/tvcg.2014.2352953 |
| Pubmed ID | |
| Authors |
Simon Stusak, Aurelien Tabard, Franziska Sauka, Rohit Ashok Khot, Andreas Butz |
| Abstract |
Data sculptures are a promising type of visualizations in which data is given a physical form. In the past, they have mostly been used for artistic, communicative or educational purposes, and designers of data sculptures argue that in such situations, physical visualizations can be more enriching than pixel-based visualizations. We present the design of Activity Sculptures: data sculptures of running activity. In a three-week field study we investigated the impact of the sculptures on 14 participants' running activity, the personal and social behaviors generated by the sculptures, as well as participants' experiences when receiving these individual physical tokens generated from the specific data of their runs. The physical rewards generated curiosity and personal experimentation but also social dynamics such as discussion on runs or envy/competition. We argue that such passive (or calm) visualizations can complement nudging and other mechanisms of persuasion with a more playful and reflective look at ones' activity. |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 1% |
| United States | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 150 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 31% |
| Student > Master | 35 | 23% |
| Student > Doctoral Student | 10 | 6% |
| Student > Bachelor | 9 | 6% |
| Researcher | 8 | 5% |
| Other | 13 | 8% |
| Unknown | 32 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 67 | 44% |
| Design | 27 | 18% |
| Psychology | 6 | 4% |
| Engineering | 5 | 3% |
| Arts and Humanities | 4 | 3% |
| Other | 11 | 7% |
| Unknown | 34 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 November 2014.
All research outputs
#4,370,146
of 25,377,790 outputs
Outputs from IEEE Transactions on Visualization and Computer Graphics
#357
of 2,300 outputs
Outputs of similar age
#47,344
of 273,325 outputs
Outputs of similar age from IEEE Transactions on Visualization and Computer Graphics
#7
of 40 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 273,325 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.