Presentation
87. When Should Feedback Be Given for Autonomous System Updates? An Examination Across Two Update Patterns
SessionPoster Session 1
DescriptionUnderstanding the impact of system updates on user perceptions is crucial as it directly influences their satisfaction and adoption of new technologies. This study investigates the effectiveness of feedback methods in influencing user perceptions of autonomous system updates across different update patterns. Focusing on autonomous vehicles, the research utilizes a within-subject design to examine how visualization feedback compares to no feedback in scenarios of steady performance improvements and sharp fluctuations. Results indicate that feedback significantly enhances user perceptions during steady improvements but does not affect perceptions in sharp fluctuations. This highlights the need for tailored feedback strategies that adapt to specific update contexts to optimize user experiences. These findings contribute to the field of human factors and ergonomics by suggesting a strategic approach to feedback that can facilitate better technological adoption and enhance overall user satisfaction.
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