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Group efficiency based on the termination rule in the multiple-targets visual search task
Hanshu Zhang1,2, Peng-Fei Zhu3, Cheng-Ta Yang4,5
1Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China. hanshuzh@ccnu.edu.cn.
Psychonomic Bulletin & Review
|August 15, 2024
Summary
Collaborative visual search is more efficient for multiple targets, especially with difficult tasks and exhaustive search rules. Dyads outperform individual search predictions, highlighting the importance of task parameters.
Area of Science:
- Cognitive Psychology
- Human-Computer Interaction
- Visual Perception
Background:
- Visual search tasks often involve unknown target quantities, leading to reduced accuracy and speed.
- Collaborative search strategies can potentially mitigate these search costs.
Purpose of the Study:
- To evaluate the enhancement of collaborative search efficiency in dyads.
- To explore the interplay of task difficulty and termination rules in collaborative visual search.
Main Methods:
- Utilized the capacity coefficient to measure search efficiency.
- Conducted two experiments manipulating task difficulty and termination rules (presence vs. exhaustive search).
- Compared dyad performance against baseline predictions from individual searches.
Main Results:
- Collaborative benefits did not increase with task difficulty in Experiment 1 (presence search).
- Dyads showed greater search efficiency in Experiment 2 (exhaustive search) with elevated task difficulty.
- Dyad searches demonstrated an advantage over individual search predictions.
Conclusions:
- Task difficulty and termination rules significantly influence collaborative visual search performance.
- Dyadic collaboration can improve search efficiency, particularly in complex search scenarios.
- Optimizing task parameters is crucial for leveraging human resources in collaborative search.
