Center-of-inattention: Position biases in decision-making

By Priya Raghubir, A. Valenzuela. 2006

59 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, General Decision Sciences, Sociology and Political Science, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Experimental and Cognitive Psychology

1. Craig Crossland
2. Eric P. Xing
3. Martin Kilduff

In Sociology and Political Science

1. Craig Crossland
2. Eric P. Xing
3. Martin Kilduff
4. Ion Stoica
5. Gianluca Carnabuci
6. Bálint Diószegi
7. Henrich R. Greve
8. Hitoshi Mitsuhashi

In Evaluation & Benchmarks

1. Zhanghao Wu
2. Eric P. Xing
3. Zhuohan Li
4. Ion Stoica
5. Joseph E. Gonzalez

Citations in the corpus

• Judging LLM-as-a-judge with MT-Bench and Chatbot Arena (2023, background): “This bias is not unique to our context and has been seen in human decision-making [3, 29] and other ML domains [18, 35].”
• JudgeLM: Fine-tuned Large Language Models are Scalable Judges (2023, unknown): “Position bias means that the LLM judges prefer answers in a certain position and it widely exists in natural language processing tasks (Ko et al., 2020; Wang et al., 2018) and decision-making of humans (Blunch, 1984; Raghubir & Valenzuela, 2006).”
• Organizational network perceptions versus reality: A small world after all? ☆ (2008, background): “Our work, therefore, is innovative in extending small world ideas from the realm of large, complex networks to the realm of cognition.”