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HMD and specialization

Google Glass’ semi-demise has become a topic of considerable interest lately. Alexander Sommer at WT-Vox takes the view that it was a courageous “public beta” and “a PR nightmare” but also well received in specialized situations where the application suits the device, as in Scott’s post below. IMO, a pretty good summary. (I notice that Sony […] → Read More: HMD and specialization

Visually Interpreting Names as Demographic Attributes

In the AAAI 2015 conference, we presented the work “Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data,” a collaboration with a research team in National Taiwan University. This study aims to automatically associate a name and its likely demographic attributes, e.g., gender and ethnicity. More specifically, the associations are driven by web-scale search logs […] → Read More: Visually Interpreting Names as Demographic Attributes

Visually Interpreting Names as Demographic Attributes

In the AAAI 2015 conference, we presented the work “Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data,” a collaboration with a research team in National Taiwan University. This study aims to automatically associate a name and its likely demographic attributes, e.g., gender and ethnicity. More specifically, the associations are driven by web-scale search logs […] → Read More: Visually Interpreting Names as Demographic Attributes

Visually Interpreting Names as Demographic Attributes

In the AAAI 2015 conference, we presented the work “Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data,” a collaboration with a research team in National Taiwan University. This study aims to automatically associate a name and its likely demographic attributes, e.g., gender and ethnicity. More specifically, the associations are driven by web-scale search logs […] → Read More: Visually Interpreting Names as Demographic Attributes

Visually Interpreting Names as Demographic Attributes

In the AAAI 2015 conference, we presented the work “Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data,” a collaboration with a research team in National Taiwan University. This study aims to automatically associate a name and its likely demographic attributes, e.g., gender and ethnicity. More specifically, the associations are driven by web-scale search logs […] → Read More: Visually Interpreting Names as Demographic Attributes

More evidence of the value of HMD capture

At next week’s CSCW 2015 conference, a group from University of Wisconsin-Madison will present an interesting piece of work related to the last post: “Handheld or Handsfree? Remote Collaboration via Lightweight Head-Mounted Displays and Handheld Devices”. Similar to our work, the authors compared the use of Google Glass to a tablet-based interface for two different […] → Read More: More evidence of the value of HMD capture

More evidence of the value of HMD capture

At next week’s CSCW 2015 conference, a group from University of Wisconsin-Madison will present an interesting piece of work related to the last post: “Handheld or Handsfree? Remote Collaboration via Lightweight Head-Mounted Displays and Handheld Devices”. Similar to our work, the authors compared the use of Google Glass to a tablet-based interface for two different […] → Read More: More evidence of the value of HMD capture

More evidence of the value of HMD capture

At next week’s CSCW 2015 conference, a group from University of Wisconsin-Madison will present an interesting piece of work related to the last post: “Handheld or Handsfree? Remote Collaboration via Lightweight Head-Mounted Displays and Handheld Devices”. Similar to our work, the authors compared the use of Google Glass to a tablet-based interface for two different […] → Read More: More evidence of the value of HMD capture

Head-mounted capture and access with ShowHow

Our IEEE Pervasive paper on head-mounted capture for multimedia tutorials was recently accepted and is currently in press. We are excited to share some our findings here. Creating multimedia tutorials requires two distinct steps: capture and editing. While editing, authors have the opportunity to devote their full attention to the task at hand. Capture is […] → Read More: Head-mounted capture and access with ShowHow

Head-mounted capture and access with ShowHow

Our IEEE Pervasive paper on head-mounted capture for multimedia tutorials was recently accepted and is currently in press. We are excited to share some our findings here. Creating multimedia tutorials requires two distinct steps: capture and editing. While editing, authors have the opportunity to devote their full attention to the task at hand. Capture is […] → Read More: Head-mounted capture and access with ShowHow