Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Che Zulkhairi Abdullah

dblp:173/4712 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · unresolved

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

Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1

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.

Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%
Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › virtual reality
multisensory VR		 0.312018
A Multisensory Virtual Environment for OSH Training · VR 2018

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

arduino · 0.73d scanning · 0.7
YearPublicationVenuePosition
2018 A Multisensory Virtual Environment for OSH Training
abstract
This paper presents a multisensory and low-cost virtual training simulator developed in Unity 3D, with the aim of improving the effectiveness of Occupational Safety and Health (OSH) training. The prototype system facilitates heat and smell feedback functions operated by an Arduino microprocessor and triggered based on the proximity of the avatar to receptive 4 within the Virtual Environment (VE). The prototype enables the creation of bespoke virtual representations using the 3D scanning function of the Google Tango device making multisensory VE OSH training a feasible and versatile approach in the short-term future.
Mina Tahsiri, Glyn Lawson, Che Zulkhairi Abdullah, Tess Roper
 VR3