StreamBED: Training Citizen Scientists to Make Qualitative Judgments Using
Embodied Virtual Reality Training
Late-Breaking Works: Collaborative Technologies
/
Striner, Alina
/
Preece, Jenny
Extended Abstracts of the ACM CHI'16 Conference on Human Factors in
Computing Systems
2016-05-07
v.2
p.1201-1207
© Copyright 2016 ACM
Summary: 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.