Presentation
62. Speed-Accuracy Tradeoff (SAT) and Speed-Confidence Tradeoff (SCT) in a Human-Robot Interaction (HRI) Task
SessionPoster Session 1
DescriptionHuman-Robot Interaction (HRI) is playing a pivotal role in modern industry. We conducted human experiments and computational modeling with the QN-MHP to investigate the patterns of speed-accuracy tradeoff (SAT) and speed-confidence tradeoff (SCT) in human prediction of a robot’s movement intention. Experimental results show that task difficulty significantly affects the specific patterns of SAT and SCT. For example, clear quantitative relations of SAT are shown (1) in all the easy task conditions, (2) only in the medium to long duration conditions of the medium difficulty situations, but (3) not in any of the hard (most difficult) conditions. To account for SAT and SCT, QN-MHP is extended by modeling the entity departure processes to represent information accumulation in the human mind, with the entities representing the possible robot movement target locations. This modeling work goes beyond the previous QN-MHP models that focused on the arrival and service processes of information entities.
Event Type
Poster
TimeWednesday, September 11th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
Aerospace Systems
Cognitive Engineering & Decision Making
Computer Systems
Forensics Professional
Health Care
Human Performance Modeling
Individual Differences in Performance
Perception and Performance
Product Design
Safety
Training
Usability and System Evaluation
Extended Reality