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Megan Cackett

dblp:215/5033 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Immersive interaction
virtual reality experiments
0.312018
Web-Based VR Experiments Powered by the Crowd · WWW 2018
Collaborative and social computing
crowdsourcing
0.112018
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
YearPublicationVenuePosition
2018 Web-Based VR Experiments Powered by the Crowd
abstract
We 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
WWW2