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Trust in Machine Agents Under Realistic Threat

Measures of actual human-machine interaction are required to generate ecologically valid, translatable discoveries that enhance human-systems integration and performance. Here, the proposed methods center on human-robot decision tasks to assess key determinants of human trust in robot recommendations (e.g., factors such as threat-salience and/or robot appearance), and the concomitant impacts of trust on performance.
azw78@psu.edu
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18 year(s) or older
This study is NOT accepting healthy volunteers
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Inclusion Criteria:
An adult over the age of 18
Must not be suffering from anxiety disorders and/or panic attacks.
Must not be suffering from any known heart conditions.
Must not, to your knowledge, be prone to nausea when experiencing VR
Exclusion Criteria:
Anyone under the age of 18 will be excluded.
Suffers from anxiety disorders, suffers from heart conditions, prone to nausea when experiencing VR
Mental & Behavioral Health, Prevention
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Location
State College, PA