Related Experiment Video
Updated: Jan 31, 2026

Movement Retraining using Real-time Feedback of Performance
Published on: January 17, 2013
Towards efficient human-machine collaboration: effects of gaze-driven feedback and engagement on performance
Nikolina Mitev1, Patrick Renner2, Thies Pfeiffer2
1CITEC, Universität des Saarlandes, Campus C7.4 (2.04), Saarbrücken, 66123, Germany. nikkol@coli.uni-saarland.de.
Gaze-aware systems improve task completion by using contrastive feedback, outperforming unambiguous instructions. Cooperative system interaction enhances listener engagement and information uptake for better performance.
Area of Science:
- Human-Computer Interaction
- Cognitive Science
- Robotics
Background:
- Referential success is vital for collaborative tasks in shared environments.
- Humans naturally use speech, gesture, and gaze for object identification.
- Gaze-aware systems can leverage human gaze for improved interaction.
Purpose of the Study:
- To investigate how listener gaze behavior can enhance referential success in human-system interactions.
- To compare different instruction and feedback strategies for optimal task performance.
- To determine the impact of gaze-driven feedback on interaction efficiency.
Main Methods:
- Developed a gaze-aware assistance system with on-the-fly speech generation.
- System interprets listener gaze and implements adaptive feedback strategies.
- Evaluated strategies: unambiguous vs. ambiguous instructions with underspecified or contrastive feedback.
Main Results:
- Ambiguous instructions with underspecified feedback hindered task performance.
- Contrastive feedback led to faster interactions and outperformed unambiguous instructions.
- Interleaved feedback strategies resulted in similar task performance, suggesting engagement is key.
Conclusions:
- Contrastive feedback is more effective than underspecified feedback for gaze-aware systems.
- Listener engagement, driven by perceived system cooperativeness, significantly impacts performance.
- Future systems should prioritize fostering cooperation for efficient information uptake.
More Related Videos
09:54Assessment of Human Natural Killer Cell Events Driven by FcγRIIIa Engagement in the Presence of Therapeutic Antibodies
Published on: May 22, 2020
11:06A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
Published on: April 12, 2016
Related Concept Videos
Effects of feedback
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Sources of Self-Esteem II: Performance Feedback
Mechanical Efficiency of Real Machines
However, in reality, no machine can be truly ideal, and all of them experience some...
Feedback Inhibition
Feedback Loops
Chronic Pancreatitis II: Collaborative Care
Assessment: