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Cited by 0Information Retrieval and Search BehaviorHealth Literacy and Information AccessibilityInnovative Human-Technology Interaction

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

The impact of generative AI search result design on user perceptions and information adoption

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Li, Alice·2026·Proceedings of the 2026 Conference on Human Information Interaction and Retrieval
DOI 10.1145/3786304.3787937
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Abstract

Artificial intelligence (AI) summaries appear in many Web searches, but there have been errors and questionable quality in the AI responses and source attributions. This dissertation project consists of two studies that explore the impact of generative AI summary features on user perceptions and decision-making. The first experimental study examines the effects of two designs of generative AI search responses (narrative point of view, source authority) on user perceptions and information adoption about consumer health topics. AI summaries were collected, modified, and used in a randomised, within-subjects experiment with crowdsourced workers (N=234). The Information Adoption Model (IAM) informed the conceptual model of the experiment, and the Comprehensive Model of Information Seeking (CMIS) guided the health task design. User perceptions are assessed through self-reported measures of persuasive communication (argument quality, source credibility), information usefulness, domain knowledge, and involvement. The second qualitative study aims to explore how AI summaries and source attributions are utilised alongside traditional Web search results for tasks of personal interest. This is an in-person study involving search sessions, retrospective think-alouds, and semi-structured interviews with graduate students (N=16).

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Research works printed but not linked: 8

  1. Pia Borlund and Nils Pharo. 2019. A need for information on information needs, In Proceedings of the Tenth International Conference on Conceptions of Library and Information Science (CoLIS). Information Research 24, 4. https://informationr.net/ir/24-4/colis/colis1908.html
  2. 10.5555/aai30281871 · DOI
  3. John W Creswell and J David Creswell. 2018. Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications, Thousand Oaks, CA, USA.
  4. W Bruce Croft, Donald Metzler, Trevor Strohman, et al. 2010. Search engines: Information retrieval in practice. Addison-Wesley Reading, Boston, Massachusetts.
  5. J David Johnson. 1997. Cancer-related information seeking. Hampton Press, Cresskill, NJ, USA.
  6. Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, and Marko Sarstedt. 2022. A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage Publications, Los Angeles, CA, USA.
  7. Sanghee Oh and Barbara M. Wildemuth. 2016. Think-aloud protocols. In Applications of social research methods to questions in information and library science (2nd ed.), Barbara M. Wildemuth (Ed.). Libraries Unlimited, Santa Barbara, CA, 178–188.
  8. Soo Young Rieh. 2000. Information quality and cognitive authority in the World Wide Web. Ph. D. Dissertation. Rutgers The State University of New Jersey. https://www.proquest.com/openview/e0f092d68f429553106175636d0bbb1c

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Metadata

Authors
Li, A.
Affiliations
University of British Columbia (CA)
Corresponding author
Li, Alice
ORCID
Li, Alice
Venue
Proceedings of the 2026 Conference on Human Information Interaction and Retrieval
Publisher
ACM
Published
2026-03-22
Pages
399-404
DOI
10.1145/3786304.3787937
OpenAlex
W7132843950
Cited by
0
References
43
FWCI
0.00
Type
conference paper
Language
en
Open access
Licence
cc-by-nc-nd
Locations
Conference on Human Information Interaction and Retrieval (publishedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
  • Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
source attribution, narrative perspective, source authority, information adoption, consumer health information, persuasive communication, source credibility, information usefulness, user perception, think-aloud

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