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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…

Information Retrieval · Computer Science 2024-06-06 Nuo Chen , Jiqun Liu , Tetsuya Sakai , Xiao-Ming Wu

Opinionated users often seek information that aligns with their preexisting beliefs while dismissing contradictory evidence due to confirmation bias. This conduct hinders their ability to consider alternative stances when searching the web.…

Information Retrieval · Computer Science 2024-01-23 F. M. Cau , N. Tintarev

People use web search engines to find information before forming opinions, which can lead to practical decisions with different levels of impact. The cognitive effort of search can leave opinionated users vulnerable to cognitive biases,…

Information Retrieval · Computer Science 2023-09-18 Z. Wu , T. Draws , F. Cau , F. Barile , A. Rieger , N. Tintarev

Compared to search engine result pages (SERPs), AI-generated podcasts represent a relatively new and relatively more passive modality of information consumption, delivering narratives in a naturally engaging format. As these two media…

Information Retrieval · Computer Science 2026-01-19 Junjie Wang , Gaole He , Alisa Rieger , Ujwal Gadiraju

The evolution of information-seeking processes, driven by search engines like Google, has transformed the access to information people have. This paper investigates how individuals' preexisting attitudes influence the modern…

Computers and Society · Computer Science 2024-01-18 Hussam Habib , Ryan Stoldt , Andrew High , Brian Ekdale , Ashley Peterson , Katy Biddle , Javie Ssozi , Rishab Nithyanand

Search engines could consistently favor certain values over the others, which is considered as biased due to the built-in infrastructures. Many studies have been dedicated to detect, control, and mitigate the impacts of the biases from the…

Information Retrieval · Computer Science 2021-05-10 Bin Han , Chirag Shah , Daniel Saelid

This study examined how AI-generated summaries, which have become visually prominent in online search results, affect how users think about different issues. In a preregistered randomized controlled experiment, participants (N = 2,004)…

Human-Computer Interaction · Computer Science 2025-12-05 Yiwei Xu , Saloni Dash , Sungha Kang , Wang Liao , Emma S. Spiro

This research draws upon cognitive psychology and information systems studies to anticipate user engagement and decision-making on digital platforms. By employing natural language processing (NLP) techniques and insights from cognitive bias…

Human-Computer Interaction · Computer Science 2023-07-28 Nimrod Dvir , Elaine Friedman , Suraj Commuri , Fan Yang , Jennifer Romano

Voice-based systems like Amazon Alexa, Google Assistant, and Apple Siri, along with the growing popularity of OpenAI's ChatGPT and Microsoft's Copilot, serve diverse populations, including visually impaired and low-literacy communities.…

Human-Computer Interaction · Computer Science 2024-09-04 Sachin Pathiyan Cherumanal , Falk Scholer , Johanne R. Trippas , Damiano Spina

Crowdsourcing can identify high-quality solutions to problems; however, individual decisions are constrained by cognitive biases. We investigate some of these biases in an experimental model of a question-answering system. In both natural…

Human-Computer Interaction · Computer Science 2019-10-02 Keith Burghardt , Tad Hogg , Kristina Lerman

Search query suggestions affect users' interactions with search engines, which then influences the information they encounter. Thus, bias in search query suggestions can lead to exposure to biased search results and can impact opinion…

Information Retrieval · Computer Science 2024-11-01 Fabian Haak , Björn Engelmann , Christin Katharina Kreutz , Philipp Schaer

Instruments such as eye-tracking devices have contributed to understanding how users interact with screen-based search engines. However, user-system interactions in audio-only channels -- as is the case for Spoken Conversational Search…

Human-Computer Interaction · Computer Science 2024-08-08 Kaixin Ji , Sachin Pathiyan Cherumanal , Johanne R. Trippas , Danula Hettiachchi , Flora D. Salim , Falk Scholer , Damiano Spina

Conflicts of interest often arise between data sources and their users regarding how the users' information needs should be interpreted by the data source. For example, an online product search might be biased towards presenting certain…

Databases · Computer Science 2026-03-09 Nischal Aryal , Arash Termehchy , Marianne Winslett

User-centered approaches have been extensively studied and used in the area of struggling search. Related research has targeted key aspects of users such as user satisfaction or frustration, and search success or failure, using a variety of…

Human-Computer Interaction · Computer Science 2019-07-19 Luyan Xu , Xuan Zhou , Ujwal Gadiraju

Search engines decide what we see for a given search query. Since many people are exposed to information through search engines, it is fair to expect that search engines are neutral. However, search engine results do not necessarily cover…

Information Retrieval · Computer Science 2023-02-07 Gizem Gezici , Aldo Lipani , Yucel Saygin , Emine Yilmaz

Researchers rely on academic Web search engines to find scientific sources, but search engine mechanisms may selectively present content that aligns with biases embedded in queries. This study examines whether confirmation biased queries…

Computers and Society · Computer Science 2025-01-03 Celina Kacperski , Mona Bielig , Mykola Makhortykh , Maryna Sydorova , Roberto Ulloa

Asking clarifying questions in response to search queries has been recognized as a useful technique for revealing the underlying intent of the query. Clarification has applications in retrieval systems with different interfaces, from the…

Information Retrieval · Computer Science 2020-06-02 Hamed Zamani , Bhaskar Mitra , Everest Chen , Gord Lueck , Fernando Diaz , Paul N. Bennett , Nick Craswell , Susan T. Dumais

Search engines can be considered as a gate to the world of WEB, and they also decide what we see for a given search query. Since many people are exposed to information through search engines, it is fair to expect that search engines should…

Information Retrieval · Computer Science 2021-12-28 Gizem Gezici

Information-seeking dialogues span a wide range of questions, from simple factoid to complex queries that require exploring multiple facets and viewpoints. When performing exploratory searches in unfamiliar domains, users may lack…

Information Retrieval · Computer Science 2024-10-30 Weronika Łajewska , Krisztian Balog , Damiano Spina , Johanne Trippas

Web is often used for finding information and with a learning intention. In this thesis, we propose a study to investigate the process of learning online across varying cognitive learning levels using crowd-sourced participants. Our aim was…

Human-Computer Interaction · Computer Science 2019-09-12 Rishita Kalyani
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