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Playing Your Cards Right: The Effect of Entity Cards on Search Behaviour and Workload

Published: 13 March 2016 Publication History

Abstract

In addition to merging results of different types (e.g.~images, videos, news items) into a ranked list of Web documents, modern search engines have also started displaying entity cards (ECs) on the results page. Entity cards are intended to enhance search experience in several ways: (i) they help searchers navigate diversified results, (ii) provide a summary of relevant content directly on the results page and (iii) support exploratory search by highlighting relevant entities associated with a given user query. We conducted a large-scale crowd-sourced user study, with more than $700$ unique searchers, to investigate the effects of entity cards on search behaviour and perceived workload. We find that the presence of ECs has a strong effect on both the way users interact with search results and their perceived task workload. Furthermore, by manipulating EC properties content, coherence and vertical diversity), we uncover different effects and interactions between card properties on measures of search behaviour and workload. Our study contributes an in-depth analysis of the effects of entity cards on user interaction with modern Web search interfaces.

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cover image ACM Conferences
CHIIR '16: Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval
March 2016
400 pages
ISBN:9781450337519
DOI:10.1145/2854946
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 March 2016

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  1. entity cards
  2. task workload
  3. user behaviour

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CHIIR '16
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CHIIR '16: Conference on Human Information Interaction and Retrieval
March 13 - 17, 2016
North Carolina, Carrboro, USA

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CHIIR '16 Paper Acceptance Rate 23 of 58 submissions, 40%;
Overall Acceptance Rate 55 of 163 submissions, 34%

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Cited By

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  • (2024)The Influence of Presentation and Performance on User SatisfactionProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638335(77-86)Online publication date: 10-Mar-2024
  • (2024)Responsible Opinion Formation on Debated Topics in Web SearchAdvances in Information Retrieval10.1007/978-3-031-56066-8_32(437-465)Online publication date: 24-Mar-2024
  • (2024)Ranking Heterogeneous Search Result Pages Using the Interactive Probability Ranking PrincipleAdvances in Information Retrieval10.1007/978-3-031-56060-6_7(96-110)Online publication date: 24-Mar-2024
  • (2023)A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020ACM Transactions on Information Systems10.1145/358306942:1(1-39)Online publication date: 18-Aug-2023
  • (2023)Driven to Distraction: Examining the Influence of Distractors on Search Behaviours, Performance and ExperienceProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578298(83-94)Online publication date: 19-Mar-2023
  • (2022)Assessing the Content Topics of the Educational Videos on Tik Tok for Science CommunicationProceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)10.2991/978-2-494069-31-2_210(1792-1801)Online publication date: 29-Dec-2022
  • (2022)Active tag recommendation for interactive entity searchInformation Processing and Management: an International Journal10.1016/j.ipm.2021.10285659:2Online publication date: 9-May-2022
  • (2022)From linear to non-linear: investigating the effects of right-rail results on complex SERPsAdvances in Computational Intelligence10.1007/s43674-021-00028-22:1Online publication date: 10-Jan-2022
  • (2021)Untangling Cost, Effort, and Load in Information Seeking and RetrievalProceedings of the 2021 Conference on Human Information Interaction and Retrieval10.1145/3406522.3446026(151-161)Online publication date: 14-Mar-2021
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