StreamBED VR

Citizen science monitoring of local watersheds is crucial for water conservation and activism. Both quantitative and qualitative metrics are used to evaluate stream habitats, however water biologists suggest that qualitative assessment tasks are too nuanced for citizen scientists to learn because they rely on background knowledge and past stream experiences. Citizen scientists have the potential to contribute to impactful scientific research, but because of poor training, often waste resources. This project explores whether multisensory information paired with virtual training can lead to learning and positive training of qualitative assessment skills. Effective training has the potential to improve citizen science data quality, decrease cost, and motivate citizen scientists to regularly participate in data collection.

Duration
Winter 2018
Investigator (other)
Alina Striner
Total Award Amount
$595