Abstract
Extracting meaning from large volumes of data can help HCI and CSCW researchers answer research questions better. In this position paper, we point to some of the challenges in conducting usability evaluations and how human-centered data science can help. Going beyond usability evaluations, we explain some paradigm shifts in HCI and CSCW that can benefit from human-centered data science.
| Original language | English |
|---|---|
| Number of pages | 4 |
| Publication status | Published - Feb 2016 |
| Externally published | Yes |
| Event | 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2016) - San Francisco, United States Duration: 27 Feb 2016 → 2 Mar 2016 https://cscw2016hcds.wordpress.com/ |
Conference
| Conference | 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2016) |
|---|---|
| Place | United States |
| City | San Francisco |
| Period | 27/02/16 → 2/03/16 |
| Internet address |
Research Keywords
- usability
- evaluation method
- handheld devices
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