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Prashast Sharma

dblp:380/4963 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0005-2680-7229ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 87% Interaction techniques and input · 13%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › interaction techniques
annotation
0.812024
Survey of Annotations in Extended Reality Systems · IEEE Trans. Vis. Comput. Graph. 2024
Collaborative and social computing › computer-supported cooperative work
collaborative technology
0.812024
Survey of Annotations in Extended Reality Systems · IEEE Trans. Vis. Comput. Graph. 2024
Collaborative and social computing › social computing
social annotation
0.812024
Survey of Annotations in Extended Reality Systems · IEEE Trans. Vis. Comput. Graph. 2024
Interaction techniques and input
input device
0.212024
Survey of Annotations in Extended Reality Systems · IEEE Trans. Vis. Comput. Graph. 2024

Methods — techniques the papers use, named apart from their topics

structured literature review · 1.5
YearPublicationVenuePosition
2024 Survey of Annotations in Extended Reality Systems
abstract
Annotation in 3D user interfaces such as Augmented Reality (AR) and Virtual Reality (VR) is a challenging and promising area; however, there are not currently surveys reviewing these contributions. In order to provide a survey of annotations for Extended Reality (XR) environments, we conducted a structured literature review of papers that used annotation in their AR/VR systems from the period between 2001 and 2021. Our literature review process consists of several filtering steps which resulted in 103 XR publications with a focus on annotation. We classified these papers based on the display technologies, input devices, annotation types, target object under annotation, collaboration type, modalities, and collaborative technologies. A survey of annotation in XR is an invaluable resource for researchers and newcomers. Finally, we provide a database of the collected information for each reviewed paper. This information includes applications, the display technologies and its annotator, input devices, modalities, annotation types, interaction techniques, collaboration types, and tasks for each paper. This database provides a rapid access to collected data and gives users the ability to search or filter the required information. This survey provides a starting point for anyone interested in researching annotation in XR environments.
Zahra Borhani, Prashast Sharma, Francisco R. Ortega 0001
IEEE Trans. Vis. Comput. Graph.2