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Daniel M. Russell
Google
Human–computer interactionComputer scienceMultimediaKnowledge managementUser interface
114Publications
26H-index
3,208Citations
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Publications 107
Newest
#1Ido Roll (UBC: University of British Columbia)H-Index: 24
#2Daniel M. Russell (Google)H-Index: 26
Last. Dragan Gasevic (Monash University)H-Index: 41
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Learning at Scale is a fast growing field that affects formal, informal, and workplace education. Highly interdisciplinary, it builds on solid foundations in the learning sciences, computer science, education, and the social sciences. We define learning at scale as the study of the technologies, pedagogies, analyses, and theories of learning and teaching that take place with a large number of learners and a high ratio of learners to facilitators. The scale of these environments often changes the...
3 CitationsSource
Apr 20, 2018 in CHI (Human Factors in Computing Systems)
#1Geraldine Fitzpatrick (TU Wien: Vienna University of Technology)H-Index: 39
#2Batya Friedman (UW: University of Washington)H-Index: 39
Last. Daniel M. Russell (Google)H-Index: 26
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Numerous reports and studies point to increasing performance criteria and workplace stress for academics/researchers. Together with the audience, this panel will explore how we experience this in the HCI community, focussing particularly on what we can do to change this for a slower more sustainable academic culture. The future of good quality HCI research is dependent on happy healthy researchers and reasonable realistic academic processes.
1 CitationsSource
Apr 20, 2018 in CHI (Human Factors in Computing Systems)
#1Daniel M. Russell (Google)H-Index: 26
#2Gregorio Convertino (Cloudera)H-Index: 1
Last. Elizabeth Anne Watkins (Columbia University)H-Index: 2
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Sensemaking is a common activity in the analysis of a large or complex amount of information. This active area of HCI research asks how DO people come to understand such difficult sets of information? The information workplace is increasing dominated by high velocity, high volume, complex information streams. At the same time, understanding how sensemaking operates has become an urgent need in an era of increasingly unreliable news and information sources. While there has been a huge amount of w...
1 CitationsSource
#1Daniel M. Russell (Google)H-Index: 26
#2Svetlana Yarosh (UMN: University of Minnesota)H-Index: 15
1 CitationsSource
#1Ricardo OlenewaH-Index: 1
#2Gary M. Olson (UCI: University of California, Irvine)H-Index: 38
Last. Daniel M. Russell (Google)H-Index: 26
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Word processors now make it possible for many authors to work on the same document concurrently. But what can they actually do?
6 CitationsSource
#1Elena L. Glassman (MIT: Massachusetts Institute of Technology)H-Index: 12
#2Daniel M. Russell (Google)H-Index: 26
Learners have a wealth of online resources to help them teach themselves new knowledge. However, not all resources are of equal quality or appropriateness for a learner, given the particular set of prior knowledge they bring to the learning task. Without a teacher, finding appropriate sources that shed light on a topic, collectively or individually, is critical. We present DocMatrix, an interface for viewing multiple documents in parallel, with three key features: a grid of document viewers, a c...
1 CitationsSource
Jun 7, 2016 in AVI (Advanced Visual Interfaces)
#1Daniel M. Russell (Google)H-Index: 26
While modern information visualization (IV) has been around for several decades, the inventions of IV seem to be peripheral to the everyday work in companies that would seem to be the most likely to use these inventions. In this case study, Google uses very few IV tools, relying mostly on more traditional ways of looking at data and data relationships. What has brought about this state of affairs? An analysis shows that the basic causes of low adoption are (a) difficulty of data wrangling and sh...
2 CitationsSource
Feb 27, 2016 in CSCW (Conference on Computer Supported Cooperative Work)
#1Jacki O'Neill (Microsoft)H-Index: 17
#2Daniel M. Russell (Google)H-Index: 26
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Feb 27, 2016 in CSCW (Conference on Computer Supported Cooperative Work)
#1Daniel M. Russell (Google)H-Index: 26
#2Steven PoltrockH-Index: 18
Last. Gary M. Olson (UCI: University of California, Irvine)H-Index: 38
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The first CSCW conference was held 30 years ago. Over that time, many topics have been addressed, many ideas have been put forward, much research has been reported. What did the field get right? And what did the field get wrong? The panel, comprised of people who directly witnessed much of this history, will reflect on these questions. We don't expect all to agree with each panelist's conclusions, and we will invite reactions and contributions from the audience as well.
1 CitationsSource
For the vast majority of queries (for example, navigation, simple fact lookup, and others), search engines do extremely well. Their ability to quickly provide answers to queries is a remarkable testament to the power of many of the fundamental methods of AI. They also highlight many of the issues that are common to sophisticated AI question-answering systems. It has become clear that people think of search programs in ways that are very different from traditional information sources. Rapid and r...
2 CitationsSource
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