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Decoy Effect in Search Interaction: A Pilot Study

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arxiv 2311.02362 v1 pith:U7WXFHUJ submitted 2023-11-04 cs.IR cs.HC

classification cs.IRcs.HC
keywords decoyeffectdocumentbiaseschoicescognitiveinfluencesinteraction
verification ladder T0 review T1 audit T2 compute T3 formal
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In recent years, the influence of cognitive effects and biases on users' thinking, behaving, and decision-making has garnered increasing attention in the field of interactive information retrieval. The decoy effect, one of the main empirically confirmed cognitive biases, refers to the shift in preference between two choices when a third option (the decoy) which is inferior to one of the initial choices is introduced. However, it is not clear how the decoy effect influences user interactions with and evaluations on Search Engine Result Pages (SERPs). To bridge this gap, our study seeks to understand how the decoy effect at the document level influences users' interaction behaviors on SERPs, such as clicks, dwell time, and usefulness perceptions. We conducted experiments on two publicly available user behavior datasets and the findings reveal that, compared to cases where no decoy is present, the probability of a document being clicked could be improved and its usefulness score could be higher, should there be a decoy associated with the document.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Decoy Dilemma in Online Medical Information Evaluation: A Comparative Study of Credibility Assessments by LLM and Human Judges

    cs.IR 2024-11 conditional novelty 6.0 of 10

    Large language models show stronger decoy-effect bias than human judges when rating the credibility of medical web pages in COVID-19 treatment searches.

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