The Effects of Working Memory during Search Tasks of Varying Complexity
Open accessAbstract
We report on a study that evaluated the effects of working memory and task complexity on participants' perceptions, behaviors, and outcomes. Twenty-four participants performed two search tasks of varying complexity and completed a psychometric test to measure working memory ability. Our results found several important trends. First, task complexity had an effect on participants' perceptions about temporal demand and satisfaction with the time spent on the task. Second, participants with higher working memory exerted more search effort (e.g., issued more queries). Third, participants with higher working memory had better outcomes, particularly during more complex tasks. Finally, while participants with lower working memory exerted less effort (engaged in satisficing behaviors) and had weaker outcomes, working memory did not affect participants' post-task perceptions about workload and satisfaction. We discuss implications of our results for developing search tools to support users with varying levels of working memory.
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The level of mental effort is likely dependent on users' working memory; prior work found an effect between working memory level and search process outcome.
“It is not unlikely that the level of mental effort is dependant on the users' working memory: prior work found an effect between the level of working memory and the outcome of a search process [7].”
From A Mixed-Method Analysis of Text and Audio Search Interfaces with Varying Task Complexity (2020) · cites this paper as [7]
The Abstract and Discussion report that participants with higher working memory exerted more search effort and had better outcomes, particularly on complex tasks. But the Discussion says working memory had no significant effect on post-task workload measures, so the proposed dependence of mental effort on working memory is not established. (LLM, conf=0.84)
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Cites
(2001) · Cited by 13,930 · see citing works
Diamond, A. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143750 · Cited by 13,268 · see citing works
Individual differences in working memory and reading
Daneman, M., & Carpenter, P. A. (1980) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(80)90312-6 · Cited by 6,336 · see citing works
Is working memory capacity task dependent?
Turner, M. L., & Engle, R. W. (1989) · Journal of Memory and Language · doi:10.1016/0749-596x(89)90040-5 · Cited by 2,299 · see citing works
Reasoning ability is (little more than) working-memory capacity?!
Kyllonen, P. C., & Christal, R. E. (1990) · Intelligence · doi:10.1016/s0160-2896(05)80012-1 · Cited by 1,810 · see citing works
Task Complexity: A Review and Analysis
Campbell, D. J. (1988) · The Academy of Management Review · doi:10.5465/amr.1988.4306775 · Cited by 1,634 · see citing works
Baddeley, A. (2010) · Current Biology · doi:10.1016/j.cub.2009.12.014 · Cited by 1,149 · see citing works
Working memory span and the role of proactive interference.
Lustig, C., May, C. P., & Hasher, L. (2001) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.130.2.199 · Cited by 477 · see citing works
Working memory span and the role of proactive interference.
Lustig, C., May, C. P., & Hasher, L. (2001) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.130.2.199 · Cited by 330 · see citing works
Mental Models in Conditional Reasoning and Working Memory
Barrouillet, P., & Lecas, J.-F. (1999) · Thinking & Reasoning · doi:10.1080/135467899393940 · Cited by 164 · see citing works
Using the taxonomy of cognitive learning to model online searching
Jansen, B. J., Booth, D., & Smith, B. (2009) · Information Processing & Management · doi:10.1016/j.ipm.2009.05.004 · Cited by 164 · see citing works
Kelly, D., Arguello, J., Edwards, A., & Wu, W.-C. (2015) · Proceedings of the 2015 International Conference on The Theory of Information Retrieval · doi:10.1145/2808194.2809465 · Cited by 155 · see citing works
Self-citationBerninger, V. W., Raskind, W. H., Richards, T. L., Abbott, R., & Stock, P. (2008) · Developmental Neuropsychology · doi:10.1080/87565640802418662 · Cited by 151 · see citing works
Smith-Spark, J. H., Fisk, J. E., Fawcett, A. J., & Nicolson, R. I. (2003) · The European Journal of Cognitive Psychology · doi:10.1080/09541440340000024 · Cited by 120 · see citing works
How Working Memory Capacity Affects Problem Solving
Wiley, J., & Jarosz, A. F. (2012) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/b978-0-12-394393-4.00006-6 · Cited by 116 · see citing works
The Role of Working Memory in Problem Solving
Hambrick, D. Z., & Engle, R. W. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511615771.007 · Cited by 101 · see citing works
Wildemuth, B. M., Freund, L., & Toms, E. G. (2014) · Journal of Documentation · doi:10.1108/jd-03-2014-0056 · Cited by 86 · see citing works
The effect of cognitive abilities on information search for tasks of varying levels of complexity
Brennan, K., Kelly, D., & Arguello, J. (2014) · Information Interaction in Context Symposium (IIiX) · doi:10.1145/2637002.2637022 · Cited by 58 · see citing works
Self-citationPredicting Search Task Difficulty
Arguello, J. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-06028-6_8 · Cited by 56 · see citing works
Self-citationDeficits in working memory in young adults with reading disabilities
Cohen‐Mimran, R., & Sapir, S. (2006) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2006.06.006 · Cited by 56 · see citing works
Beneventi, H., Tønnessen, F. E., & Ersland, L. (2009) · International Journal of Neuroscience · doi:10.1080/00207450903139671 · Cited by 48 · see citing works
Phonological working memory impacts on information searching
MacFarlane, A., Albrair, A., Marshall, C. R., & Buchanan, G. R. (2012) · Information Interaction in Context Symposium (IIiX) · doi:10.1145/2362724.2362734 · Cited by 44 · see citing works
Differences in the Use of Search Assistance for Tasks of Varying Complexity
Capra, R., Arguello, J., Crescenzi, A., & Vardell, E. (2015) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2766462.2767741 · Cited by 42 · see citing works
Self-citationExamining the impact of domain and cognitive complexity on query formulation and reformulation
Wildemuth, B. M., Kelly, D., Boettcher, E., Moore, E., & Dimitrova, G. (2018) · Information Processing & Management · doi:10.1016/j.ipm.2018.01.009 · Cited by 36 · see citing works
Jacek Gwizdka, A. (2010) · arXiv (Cornell University) · doi:10.48550/arxiv.1004.2222 · Cited by 35 · see citing works
Online search stopping behaviors: An investigation of query abandonment and task stopping
Wu, W., & Kelly, D. (2014) · Proceedings of the American Society for Information Science and Technology · doi:10.1002/meet.2014.14505101030 · Cited by 32 · see citing works
Task complexity and difficulty in music information retrieval
Hu, X., & Kando, N. (2017) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23803 · Cited by 30 · see citing works
Assessing the Readability of Web Search Results for Searchers with Dyslexia
Fourney, A., Morris, M. R., Ali, A. X., & Vonessen, L. (2018) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3209978.3210072 · Cited by 22 · see citing works
Jacek Gwizdka, A. (2017) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3020165.3022148 · Cited by 16 · see citing works
Turpin, L., Kelly, D., & Arguello, J. (2016) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2911451.2914739 · Cited by 14 · see citing works
Self-citationEffects of working memory capacity on users' search effort
Jacek Gwizdka, A. (2013) · Multimedia Interaction Design and Innovation · doi:10.1145/2500342.2500358 · Cited by 12 · see citing works
Francis, G., Neath, I., & VanHorn, D. R. (2003) · Medical Entomology and Zoology · Cited by 10 · see citing works
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Vtyurina, A., Clarke, C. L. A., Law, E., Trippas, J. R., & Bota, H. (2020) · Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval · doi:10.1145/3409256.3409822 · Cited by 29 · see citing works
Pardi, G., von Hoyer, J. F., Holtz, P., & Kammerer, Y. (2020) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3343413.3378001 · Cited by 27 · see citing works
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Palani, S., Fourney, A., Williams, S., Larson, K., Spiridonova, I., & Morris, M. R. (2020) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3397271.3401103 · Cited by 15 · see citing works
The effects of cognitive load on query reformulation: mental demand, temporal demand and frustration
Na, K. (2021) · Aslib Journal of Information Management · doi:10.1108/ajim-07-2020-0206 · Cited by 15 · see citing works
McGregor, M., Azzopardi, L. A., & Halvey, M. J. (2023) · ACM Transactions on Information Systems · doi:10.1145/3583069 · Cited by 10 · see citing works
Azzopardi, L. A., Maxwell, D., Halvey, M. J., & Hauff, C. (2023) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3576840.3578298 · Cited by 9 · see citing works
Seeking Socially Responsible Consumers: Exploring the Intention-Search-Behaviour Gap
Azzopardi, L. A., & van der Sluis, F. (2024) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3627508.3638324 · Cited by 9 · see citing works
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities
Choi, B., Arguello, J., Capra, R., & Ward, A. R. (2022) · ACM Transactions on Information Systems · doi:10.1145/3527661 · Cited by 6 · see citing works
Self-citationThe Effects of Working Memory during a Search and Sensemaking Task
Choi, B., & Arguello, J. (2025) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3698204.3716449 · Cited by 4 · see citing works
Self-citationvan der Sluis, F., Azzopardi, L. A., & Meier, F. (2025) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3726302.3730347 · Cited by 2 · see citing works
Interactive Evaluation of Conversational Agents: Reflections on the Impact of Search Task Design
Dubiel, M., Halvey, M. J., Azzopardi, L. A., & Daronnat, S. (2020) · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) · doi:10.1145/3409256.3409814 · Cited by 2 · see citing works
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Choi, B., & Arguello, J. (2026) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3786304.3787883 · Cited by 1 · see citing works
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- Authors
- Choi, B., Capra, R., & Arguello, J.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Venue
- Proceedings of the 2019 Conference on Human Information Interaction and Retrieval
- Publisher
- ACM
- Published
- 2019-03-08
- Pages
- 261-265
- OpenAlex
- W2921006681
- Semantic Scholar
- b4f19b8d9cc5708eb4d5163d503034b2dd5be53c
- Cited by
- 16
- References
- 31
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 1 · 2021: 1 · 2020: 6
- FWCI
- 1.59
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Conference on Human Information Interaction and Retrieval (publishedVersion)
- Funders
- National Science Foundation (IIS-1552587, IIS-1451668)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Keywords
- working memory, task complexity, search tasks, search effort, satisficing behavior, temporal demand, perceived workload, user satisfaction, search tools, information seeking
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