What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Mathematics
Daniel Wigdor mostly deals with Human–computer interaction, Multimedia, Gesture, User interface and Multi-touch.
Daniel Wigdor has researched Human–computer interaction in several fields, including Natural, Workflow and Table.
His Multimedia study combines topics in areas such as Overlay, Modality, Smartwatch and Mobile device.
His work deals with themes such as Mobile interaction, Context, Motion, Task and Joint, which intersect with Gesture.
His Natural user interface study in the realm of User interface connects with subjects such as Interface and State.
His work investigates the relationship between Visualization and topics such as 3D interaction that intersect with problems in Computer graphics and Computer vision.
His most cited work include:
- Brave NUI World: Designing Natural User Interfaces for Touch and Gesture (393 citations)
- Direct-touch vs. mouse input for tabletop displays (317 citations)
- Lucid touch: a see-through mobile device (309 citations)
What are the main themes of his work throughout his whole career to date?
Daniel Wigdor mainly investigates Human–computer interaction, Gesture, Multimedia, Artificial intelligence and Computer vision.
The concepts of his Human–computer interaction study are interwoven with issues in User interface and Table.
In his work, Computer hardware and Signal generator is strongly intertwined with Interface, which is a subfield of Gesture.
His Multimedia research is multidisciplinary, incorporating elements of Session and Task.
His study in Computer vision is interdisciplinary in nature, drawing from both Computer graphics and Virtual reality.
The various areas that he examines in his Computer graphics study include Graphical user interface, Visualization and Display device.
He most often published in these fields:
- Human–computer interaction (43.44%)
- Gesture (20.36%)
- Multimedia (18.10%)
What were the highlights of his more recent work (between 2017-2021)?
- Human–computer interaction (43.44%)
- Virtual reality (4.52%)
- China (3.17%)
In recent papers he was focusing on the following fields of study:
Daniel Wigdor spends much of his time researching Human–computer interaction, Virtual reality, China, Social media and Data visualization.
His work on Mixed reality as part of general Human–computer interaction research is frequently linked to Set, bridging the gap between disciplines.
His work carried out in the field of Virtual reality brings together such families of science as Virtual keyboard and Optical head-mounted display, Computer vision.
In general Computer vision, his work in Gesture is often linked to Position, Template matching, Kinematics and Point linking many areas of study.
His Data visualization research includes elements of Bridge, Point, Data science and Graphics.
In general Artificial intelligence study, his work on Topic model often relates to the realm of Data modeling and Comorbidity, thereby connecting several areas of interest.
Between 2017 and 2021, his most popular works were:
- You Watch, You Give, and You Engage: A Study of Live Streaming Practices in China (66 citations)
- "I feel it is my responsibility to stream": Streaming and Engaging with Intangible Cultural Heritage through Livestreaming (42 citations)
- Thor's Hammer: An Ungrounded Force Feedback Device Utilizing Propeller-Induced Propulsive Force (37 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Mathematics
The scientist’s investigation covers issues in Human–computer interaction, China, Social media, Data visualization and Visualization.
His studies in Human–computer interaction integrate themes in fields like Digital paper, Natural and Digital content.
His research integrates issues of Graphical user interface and Data science in his study of Data visualization.
His Data science study incorporates themes from Artificial intelligence and Natural language processing.
The Visualization study combines topics in areas such as Bridge, Point and Graphics.
His Internet privacy study integrates concerns from other disciplines, such as Casual, Online and offline and Social network.
This overview was generated by a machine learning system which analysed the scientist’s
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