What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Software
- Human–computer interaction
Raimund Dachselt mainly focuses on Human–computer interaction, Visualization, Computer vision, Artificial intelligence and Eye tracking.
His Human–computer interaction research incorporates elements of User interface, Multimedia, Information visualization and Feature.
His User interface study incorporates themes from Process, Interface, Multi-touch, User experience design and Iterative and incremental development.
His Multimedia study combines topics in areas such as Interaction Styles, Interaction design, Post-WIMP and Interactive systems engineering.
The concepts of his Computer vision study are interwoven with issues in Mobile device and Set.
The study incorporates disciplines such as Natural and Multimodal interaction in addition to Artificial intelligence.
His most cited work include:
- Look & touch: gaze-supported target acquisition (131 citations)
- Investigating multi-touch and pen gestures for diagram editing on interactive surfaces (107 citations)
- PaperLens: advanced magic lens interaction above the tabletop (101 citations)
What are the main themes of his work throughout his whole career to date?
Raimund Dachselt mainly investigates Human–computer interaction, Multimedia, Visualization, User interface and Mobile device.
His research in Human–computer interaction intersects with topics in Interface, Information visualization and Gesture.
In his study, Artificial intelligence is strongly linked to Set, which falls under the umbrella field of Gesture.
His User interface research is multidisciplinary, incorporating perspectives in Virtual reality and 3D interaction.
He connects Mobile device with Zoom in his research.
His Panning study in the realm of Zoom connects with subjects such as Gaze and Computer vision.
He most often published in these fields:
- Human–computer interaction (60.11%)
- Multimedia (18.62%)
- Visualization (18.62%)
What were the highlights of his more recent work (between 2018-2021)?
- Human–computer interaction (60.11%)
- Augmented reality (13.83%)
- Visualization (18.62%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Human–computer interaction, Augmented reality, Visualization, Interface and Mobile device.
In his papers, he integrates diverse fields, such as Human–computer interaction and Smartwatch.
His Augmented reality research incorporates themes from Use case, Gesture, Immersion and 3D modeling.
Raimund Dachselt has researched Visualization in several fields, including Instrumentation, Architecture, Virtual reality and Event data.
His research integrates issues of User interface, Tracking and Eye tracking in his study of Interface.
Raimund Dachselt combines subjects such as Representation and Multivariate statistics with his study of Mobile device.
Between 2018 and 2021, his most popular works were:
- Multiple Coordinated Views at Large Displays for Multiple Users: Empirical Findings on User Behavior, Movements, and Distances (23 citations)
- Vistribute: Distributing Interactive Visualizations in Dynamic Multi-Device Setups (15 citations)
- DesignAR: Immersive 3D-Modeling Combining Augmented Reality with Interactive Displays (12 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Software
- Human–computer interaction
Human–computer interaction, Visualization, Data visualization, Augmented reality and Interface are his primary areas of study.
In his works, Raimund Dachselt performs multidisciplinary study on Human–computer interaction and Display size.
His Visualization study integrates concerns from other disciplines, such as Graph, Class, Enhanced Data Rates for GSM Evolution, Immersion and Relation.
His biological study spans a wide range of topics, including Direct voice input and Gesture.
His study in Interface is interdisciplinary in nature, drawing from both User interface and Engineering drawing.
His work carried out in the field of Mobile device brings together such families of science as Ubiquitous computing, Brainstorming and Multimedia.
This overview was generated by a machine learning system which analysed the scientist’s
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