Search under uncertainty: Cognitive biases and heuristics: a tutorial on testing, mitigating and accounting for cognitive biases in search experiments
Understanding how people interact with search interfaces is core to the field of Interactive
Information Retrieval (IIR). While various models have been proposed (eg, Belkin's ASK …
Information Retrieval (IIR). While various models have been proposed (eg, Belkin's ASK …
Search under Uncertainty: Cognitive Biases and Heuristics-Tutorial on Modeling Search Interaction using Behavioral Economics
Modeling how people interact with search interfaces is core to the field of Interactive
Information Retrieval. While various models have been proposed ranging from conceptual …
Information Retrieval. While various models have been proposed ranging from conceptual …
Ai can be cognitively biased: An exploratory study on threshold priming in llm-based batch relevance assessment
Cognitive biases are systematic deviations in thinking that lead to irrational judgments and
problematic decision-making, extensively studied across various fields. Recently, large …
problematic decision-making, extensively studied across various fields. Recently, large …
Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics
When interacting with information retrieval (IR) systems, users, affected by confirmation
biases, tend to select search results that confirm their existing beliefs on socially significant …
biases, tend to select search results that confirm their existing beliefs on socially significant …
What matters in a measure? A perspective from large-scale search evaluation
Information retrieval (IR) has a large literature on evaluation, dating back decades and
forming a central part of the research culture. The largest proportion of this literature …
forming a central part of the research culture. The largest proportion of this literature …
SWAN: A Generic Framework for Auditing Textual Conversational Systems
T Sakai - arxiv preprint arxiv:2305.08290, 2023 - arxiv.org
We present a simple and generic framework for auditing a given textual conversational
system, given some samples of its conversation sessions as its input. The framework …
system, given some samples of its conversation sessions as its input. The framework …
Decoy Effect in Search Interaction: A Pilot Study
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 …
and decision-making has garnered increasing attention in the field of interactive information …
Understanding users' dynamic perceptions of search gain and cost in sessions: An expectation confirmation model
Understanding the roles of search gain and cost in users' search decision‐making is a key
topic in interactive information retrieval (IIR). While previous research has developed user …
topic in interactive information retrieval (IIR). While previous research has developed user …
Evaluating Conversational Recommender Systems with Large Language Models: A User-Centric Evaluation Framework
Conversational recommender systems (CRS) involve both recommendation and dialogue
tasks, which makes their evaluation a unique challenge. Although past research has …
tasks, which makes their evaluation a unique challenge. Although past research has …
Evaluating Cognitive Biases in Conversational and Generative IIR: A Tutorial
Understanding how and why people interact with information through search interfaces is
central to Interactive Information Retrieval (IIR). Research has demonstrated that cognitive …
central to Interactive Information Retrieval (IIR). Research has demonstrated that cognitive …