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Trust, Confidence, and Expertise in a Judge-Advisor System
Janet A. Sniezek1, Lyn M. Van Swol
1University of Illinois, Urbana-Champaign
Organizational Behavior and Human Decision Processes
|March 30, 2001
Summary
In Judge-Advisor Systems, trust is crucial for judges relying on advisors. Advisor confidence positively impacts judge trust and advice-following, influencing decision confidence.
Area of Science:
- Decision-making
- Human-computer interaction
- Social psychology
Background:
- Judge-Advisor Systems (JAS) involve expertise asymmetry, where judges rely on advisors.
- Understanding trust dynamics is vital for effective JAS.
- Previous research has not fully explored the interplay of trust, confidence, and expertise in JAS.
Purpose of the Study:
- To examine the relationship between trust, confidence, and expertise in Judge-Advisor Systems.
- To investigate how expertise asymmetry influences trust and reliance.
- To explore the impact of power dynamics on trust and resource allocation within dyads.
Main Methods:
- Two experiments were conducted with Judge-Advisor pairs, including stranger and established relationships.
- Expertise asymmetry was implemented, with judges possessing less expertise than advisors.
- Dyads could earn money for accurate judge decisions, with allocation power held by either the judge or advisor.
Main Results:
- Judges exhibited higher and more variable trust ratings than advisors, indicating greater motivation to assess trust.
- Advisor confidence positively correlated with judge trust and advice-following.
- Judges' trust in advisors significantly predicted advice-taking and final decision confidence.
Conclusions:
- Trust is a critical factor for judges in Judge-Advisor Systems, especially under conditions of dependence.
- Advisor confidence enhances judge trust and influences decision-making processes.
- While trust levels increased in established relationships, resource allocation to advisors decreased, suggesting complex trust-related behaviors.