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Gyanendra Sharma

dblp:120/3852 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0003-3704-1415ORCID · reported

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

Human-computer interaction and ubiquitous computing · 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
Immersive interaction · 44% Games and playful interaction · 44% Usability and user experience research · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Games and playful interaction
driving simulator
0.812024
Portobello: Extending Driving Simulation from the Lab to the Road · CHI 2024
Immersive interaction
mixed reality
0.812024
Portobello: Extending Driving Simulation from the Lab to the Road · CHI 2024
Usability and user experience research › evaluation methodology
ecological validity
0.212024
Portobello: Extending Driving Simulation from the Lab to the Road · CHI 2024

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

within-subjects study · 0.8
YearPublicationVenuePosition
2024 Portobello: Extending Driving Simulation from the Lab to the Road
abstract
In automotive user interface design, testing often starts with lab-based driving simulators and migrates toward on-road studies to mitigate risks. Mixed reality (XR) helps translate virtual study designs to the real road to increase ecological validity. However, researchers rarely run the same study in both in-lab and on-road simulators due to the challenges of replicating studies in both physical and virtual worlds. To provide a common infrastructure to port in-lab study designs on-road, we built a platform-portable infrastructure, Portobello, to enable us to run twinned physical-virtual studies. As a proof-of-concept, we extended the on-road simulator XR-OOM with Portobello. We ran a within-subjects, autonomous-vehicle crosswalk cooperation study (N=32) both in-lab and on-road to investigate study design portability and platform-driven influences on study outcomes. To our knowledge, this is the first system that enables the twinning of studies originally designed for in-lab simulators to be carried out in an on-road platform.
Fanjun Bu, Stacey Li, David Goedicke, Mark Colley, Gyanendra Sharma, Wendy Ju
CHI5