VLDB 2026 Research / reviewers in the wild / expert
Megan Cackett
dblp:215/5033
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging 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.
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 77% Collaborative and social computing · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction
virtual reality experiments |
0.3 | 1 | 2018 | Web-Based VR Experiments Powered by the Crowd · WWW 2018 |
Collaborative and social computing
crowdsourcing |
0.1 | 1 | 2018 | Web-Based VR Experiments Powered by the Crowd · WWW 2018 |
Methods — techniques the papers use, named apart from their topics
crowdsourcing · 0.3VR illusion reproduction · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Web-Based VR Experiments Powered by the CrowdabstractWe build on the increasing availability of Virtual Reality (VR) devices and Web technologies to conduct behavioral experiments in VR using crowdsourcing techniques. A new recruiting and validation method allows us to create a panel of eligible experiment participants recruited from Amazon Mechanical Turk. Using this panel, we ran three different crowdsourced VR experiments, each reproducing one of three VR illusions: place illusion, embodiment illusion, and plausibility illusion. Our experience and worker feedback on these experiments show that conducting Web-based VR experiments using crowdsourcing is already feasible, though some challenges---including scale---remain. Such crowdsourced VR experiments on the Web have the potential to finally support replicable VR experiments with diverse populations at a low cost. Xiao Ma 0010, Megan Cackett, Leslie Park, Eric Chien, Mor Naaman |
WWW | 2 |