StreamBED: Training Citizen Scientists to Make Qualitative Judgments Using Embodied Virtual Reality Training
April 23, 2018 Β· Declared Dead Β· π CHI Extended Abstracts
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Authors
Alina Striner, Jennifer Preece
arXiv ID
1804.08732
Category
cs.HC: Human-Computer Interaction
Citations
9
Venue
CHI Extended Abstracts
Last Checked
4 months ago
Abstract
Environmental citizen science frequently relies on experience-based assessment, however volunteers are not trained to make qualitative judgments. Embodied learning in virtual reality (VR) has been explored as a way to train behavior, but has not fully been considered as a way to train judgment. This preliminary research explores embodied learning in VR through the design, evaluation, and redesign of StreamBED, a water quality monitoring training environment that teaches volunteers to make qualitative assessments by exploring, assessing and comparing virtual watersheds.
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