What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- The Internet
His primary areas of study are Human–computer interaction, World Wide Web, Artificial intelligence, Crowdsourcing and Computer security.
His Human–computer interaction study integrates concerns from other disciplines, such as Graphical user interface, Programming language and Software deployment.
His World Wide Web study frequently intersects with other fields, such as Multimedia.
The concepts of his Artificial intelligence study are interwoven with issues in Wireless, Machine learning and Computer vision.
His Crowdsourcing research is multidisciplinary, incorporating elements of User interface, Latency, Task and Interface.
His research investigates the link between Computer security and topics such as Phishing that cross with problems in Internet privacy, Key generation and Key.
His most cited work include:
- Soylent: a word processor with a crowd inside (598 citations)
- VizWiz: nearly real-time answers to visual questions (536 citations)
- Twitinfo: aggregating and visualizing microblogs for event exploration (513 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns World Wide Web, Human–computer interaction, Multimedia, User interface and Crowdsourcing.
His study ties his expertise on Data model together with the subject of World Wide Web.
His Human–computer interaction research incorporates themes from Graphical user interface, Interface, Pair programming, Visualization and Focus.
Robert C. Miller integrates Multimedia and Scale in his research.
His User interface research is multidisciplinary, relying on both Data modeling, Software, Interface and Simultaneous editing.
His work carried out in the field of Crowdsourcing brings together such families of science as Scheduling, Crowds, Task and Workflow.
He most often published in these fields:
- World Wide Web (31.50%)
- Human–computer interaction (27.50%)
- Multimedia (19.50%)
What were the highlights of his more recent work (between 2013-2018)?
- Multimedia (19.50%)
- Human–computer interaction (27.50%)
- World Wide Web (31.50%)
In recent papers he was focusing on the following fields of study:
Robert C. Miller spends much of his time researching Multimedia, Human–computer interaction, World Wide Web, Crowdsourcing and Interface.
His study in the field of Video learning also crosses realms of Scale, Confusion and Quality.
The Human–computer interaction study combines topics in areas such as Visualization, Debugging, Task and Plan.
Robert C. Miller has included themes like Schedule and Foreign language in his World Wide Web study.
His biological study spans a wide range of topics, including Information extraction, Information retrieval, Key and Personalization.
Robert C. Miller has researched Interface in several fields, including Word, User interface, Baseline and Reliability.
Between 2013 and 2018, his most popular works were:
- 3D tracking via body radio reflections (424 citations)
- Smart Homes that Monitor Breathing and Heart Rate (357 citations)
- Understanding in-video dropouts and interaction peaks inonline lecture videos (221 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- The Internet
Multimedia, World Wide Web, Crowdsourcing, Human–computer interaction and Information extraction are his primary areas of study.
As a part of the same scientific family, Robert C. Miller mostly works in the field of Multimedia, focusing on Set and, on occasion, Workflow and Human computation.
His World Wide Web research includes themes of Video learning and Multimedia information systems.
His Crowdsourcing study incorporates themes from Collective intelligence, Class, Key, Session and Collaborative software.
His study in Human–computer interaction is interdisciplinary in nature, drawing from both Visualization, Programming education, Interface and Filter.
The various areas that Robert C. Miller examines in his Interface study include Variation, Word, Focus and Baseline.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
