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On Usability Analytics and Beyond with Human-Centered Data Science

  • Marc Ericson Chavez Santos
  • , Jarkko Polvi
  • , Takafumi Taketomi
  • , Goshiro Yamamoto
  • , Christian Sandor
  • , Hirokazu Kato

Research output: Conference PapersRGC 32 - Refereed conference paper (without host publication)peer-review

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 languageEnglish
Number of pages4
Publication statusPublished - Feb 2016
Externally publishedYes
Event19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2016) - San Francisco, United States
Duration: 27 Feb 20162 Mar 2016
https://cscw2016hcds.wordpress.com/

Conference

Conference19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2016)
PlaceUnited States
CitySan Francisco
Period27/02/162/03/16
Internet address

Research Keywords

  • usability
  • evaluation method
  • handheld devices

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