research-article

Age-related Differences in the Content of Search Queries when Reformulating

Authors:

Saraschandra Karanam,

Herre van OostendorpAuthors Info & Claims

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Pages 5720 - 5730

https://doi.org/10.1145/2858036.2858444

Published: 07 May 2016 Publication History

Abstract

This study investigated the change in the content of the queries when performing reformulations in relation to age and task difficulty. Results showed that both generalization and specialization strategies were applied significantly more often for difficult tasks compared to simple tasks. Young participants were found to use specialization strategy significantly more often than old participants. Generalization strategy was also used significantly more often by young participants, especially for difficult tasks. Young participants were found to reformulate much longer than old participants. The semantic relevance of queries with the target information was found to be significantly higher for difficult tasks compared to simple tasks. It showed a decreasing trend across reformulations for old participants and remained constant for young participants, indicating that as old participants reformulated, they produced queries that were further away from the target information. Implications of these findings for design of information search systems are discussed.

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Cited By

Vuong TJacucci GRuotsalo T(2024)Naturalistic Digital Behavior Predicts Cognitive AbilitiesACM Transactions on Computer-Human Interaction10.1145/366034131:3(1-32)Online publication date: 7-May-2024
https://dl.acm.org/doi/10.1145/3660341
Krayz Allah KIsmail NAlmgerbi M(2021)Designing web search UI for the elderly community: a systematic literature reviewJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02772-8Online publication date: 4-Jan-2021
https://doi.org/10.1007/s12652-020-02772-8
Gwizdka JDillon A(2020)Eye-Tracking as a Method for Enhancing Research on Information SearchUnderstanding and Improving Information Search10.1007/978-3-030-38825-6_9(161-181)Online publication date: 30-May-2020
https://doi.org/10.1007/978-3-030-38825-6_9
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Age-related Differences in the Content of Search Queries when Reformulating

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cover image ACM Conferences

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

May 2016

6108 pages

ISBN:9781450333627

DOI:10.1145/2858036

General Chairs:
Jofish Kaye
Yahoo
,
Allison Druin
University of Maryland / National Park Service
,
Program Chairs:
Cliff Lampe
University of Michigan
,
Dan Morris
Microsoft
,
Juan Pablo Hourcade
University of Iowa

Copyright � 2016 ACM.

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Published: 07 May 2016

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CHI'16: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2016

California, San Jose, USA

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CHI '16 Paper Acceptance Rate 565 of 2,435 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Vuong TJacucci GRuotsalo T(2024)Naturalistic Digital Behavior Predicts Cognitive AbilitiesACM Transactions on Computer-Human Interaction10.1145/366034131:3(1-32)Online publication date: 7-May-2024
https://dl.acm.org/doi/10.1145/3660341
Krayz Allah KIsmail NAlmgerbi M(2021)Designing web search UI for the elderly community: a systematic literature reviewJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02772-8Online publication date: 4-Jan-2021
https://doi.org/10.1007/s12652-020-02772-8
Gwizdka JDillon A(2020)Eye-Tracking as a Method for Enhancing Research on Information SearchUnderstanding and Improving Information Search10.1007/978-3-030-38825-6_9(161-181)Online publication date: 30-May-2020
https://doi.org/10.1007/978-3-030-38825-6_9
van Oostendorp HKaranam S(2020)Semantic Relevance Feedback on Queries and Search Results for Younger and Older AdultsUnderstanding and Improving Information Search10.1007/978-3-030-38825-6_6(97-111)Online publication date: 30-May-2020
https://doi.org/10.1007/978-3-030-38825-6_6
Sanchiz MAmadieu FChevalier A(2020)An Evolving Perspective to Capture Individual Differences Related to Fluid and Crystallized Abilities in Information Searching with a Search EngineUnderstanding and Improving Information Search10.1007/978-3-030-38825-6_5(71-96)Online publication date: 30-May-2020
https://doi.org/10.1007/978-3-030-38825-6_5
Karanam Svan Oostendorp H(2020)Cognitive Modeling of Age and Domain Knowledge Differences in Information SearchUnderstanding and Improving Information Search10.1007/978-3-030-38825-6_4(47-68)Online publication date: 30-May-2020
https://doi.org/10.1007/978-3-030-38825-6_4
Wieland M(2019)You do not have to be quick to be information literate!Informationskompetenz ist keine Frage der SchnelligkeitMedienP�dagogik: Zeitschrift f�r Theorie und Praxis der Medienbildung10.21240/mpaed/35/2019.10.16.X35(1-19)Online publication date: 16-Oct-2019
https://doi.org/10.21240/mpaed/35/2019.10.16.X
van Oostendorp HDitvoorst Tvan Doorn J(2018)Feedback on the Semantic Relevance of Search QueriesProceedings of the 36th European Conference on Cognitive Ergonomics10.1145/3232078.3232087(1-4)Online publication date: 5-Sep-2018
https://dl.acm.org/doi/10.1145/3232078.3232087
Karanam SOostendorp HSanchiz MChevalier AChin JFu W(2017)Cognitive modeling of age-related differences in information search behaviorJournal of the Association for Information Science and Technology10.5555/3204593.320459768:10(2328-2337)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.5555/3204593.3204597
Sanchiz MChevalier AAmadieu F(2017)How do older and young adults start searching for information? Impact of age, domain knowledge and problem complexity on the different steps of information searchingComputers in Human Behavior10.1016/j.chb.2017.02.03872:C(67-78)Online publication date: 1-Jul-2017
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