I conduct research in Information Retrieval (IR), a field concerned with designing, developing, and evaluating interactive systems that help people find information. I conduct research in three main sub-areas of IR: (1) aggregated search, (2) supporting users with complex information-seeking tasks, and (3) voice-enabled search.

The goal of aggregated search is to provide search across many different heterogeneous systems, or verticals, from a unified interface. From the system side, I develop methods for predicting which verticals to present and where to present them in response to a query. From the human side, I run user studies to better understand search and preference behavior in different situations and with different aggregated search interfaces.

I also study how search task complexity influences search behaviors and outcomes, and develop tools and interfaces to support searchers with complex tasks.

Finally, I study how people formulate information needs in spoken versus textual queries, and develop techniques to reformulate spoken queries in order to improve their retrieval effectiveness.

In general, I am interested in interactive information retrieval, human-computer interaction, machine learning, and text data mining.

Dissertation

Jaime Arguello. Federated Search in Heterogeneous Environments. Ph.D. Dissertation. Carnegie Mellon University. 2011.

Monograph

Jaime Arguello. Aggregated Search. Foundations and Trends in Information Retrieval. 10(5). Now Publishers. 2017.

Book Chapter

Jaime Arguello and Fernando Diaz. Vertical Selection and Aggregation. Relevance Ranking and Vertical Search Engines. Elsevier. 2013.

Journal

Bogeum Choi, Jaime Arguello, Robert Capra, and Austin Ward. The Influences of a Knowledge Representation Tool of Searchers with Varying Cognitive Abilities. ACM Transactions of Information Systems. ACM. 2023.

Kelsey Urgo and Jaime Arguello. Goal-setting in Support of Learning During Search: An Exploration of Learning Outcomes and Searcher Perceptions. Information Processing & Management. 60(2). ScienceDirect. 2023.

Kelsey Urgo and Jaime Arguello. Learning Assessments in Search-as-Learning: A Survey of Prior Work and Opportunities for Future Research. Information Processing & Management. 59(2). ScienceDirect. 2022.

Kelsey Urgo and Jaime Arguello. Understanding the "Pathway" Towards a Searcher's Learning Objective. ACM Transactions of Information Systems. 40(4). ACM. 2022.

Ashley C. Griffin, Zhaopeng Xing, Sean P. Mikles, Stacy Bailey, Saif Khairat, Jaime Arguello, Yue Wang, and Arlene E. Chung. Information Needs and Perceptions of Chatbots for Hypertension Medication Self-Management: A Mixed Methods Study. JAMIA open. Oxford University Press. 2021.

Rachel Stemerman, Jaime Arguello, Jane Brice, Ashok Krishnamurthy, Mary Houston, and Rebecca Kitzmiller. Identification of Social Determinants of Health using Multi-Label Slassification of Electronic Health Record Clinical Notes. JAMIA open. Oxford University Press. 2021.

Heather L. O'Brien, Jaime Arguello, and Robert Capra. An Empirical Study of Interest, Task Complexity, and Search Behaviour on User Engagement. Information Processing & Management. 57(3). ScienceDirect. 2020.

Bogeum Choi, Austin Ward, Yuan Li, Jaime Arguello, and Robert Capra. The Effects of Task Complexity on the Use of Different Types of Information in a Search Assistance Tool. ACM Transactions of Information Systems. 38(1). ACM. 2019.

Jaime Arguello and Bogeum Choi. The Effects of Working Memory, Perceptual Speed, and Inhibition in Aggregated Search. ACM Transactions of Information Systems. 37(3). ACM. 2019.

Jaime Arguello, Bogeum Choi, and Robert Capra. Factors Influencing Users’ Information Requests: Medium, Target, and Extra-Topical Dimension. ACM Transactions of Information Systems. 36(4). ACM. 2018.

Jaime Arguello and Robert Capra. The Effects of Aggregated Search Coherence on Search Behavior. ACM Transactions of Information Systems. 35(1). ACM. 2016.

Jaime Arguello, Jamie Callan, and Stuart Shulman. Recognizing Citations in Public Comments. John Wilkerson and Claire Cardie, editors, Special Issue on Text Annotation for Political Science of the Journal of Information Technology and Politics, 2008.

Carolyn Rosé, Yi-Chia wang, Yue Cui, Jaime Arguello, Karsten Stegmann, Armin Weinberger, Frank Fischer. Analyzing Collaborative Learning Processess Automatically: Exploiting the Advances of Computational Linguistics in Computer Supported Collaborative Learning. International Journal of Computer Supported Collaborative Learning. 3(3). Springer Link. 2008.

Conference

Bogeum Choi, Jaime Arguello, and Robert Capra. Understanding Procedural Search Tasks "in the Wild". Proceedings of the 8th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'23), 2023

Jiaming Qu, Jaime Arguello, and Yue Wang. Understanding the Cognitive Influences of Interpretability Features on How Users Scrutinize Machine-Predicted Categories. Proceedings of the 8th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'23), 2023

Sandeep Avula, Bogeum Choi, and Jaime Arguello. The Effects of System Initiative during Conversational Collaborative Search. Proceedings of the 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSWC'22), 2022. (Honorable Mention, Methods Recignition)

Bogeum Choi, Sarah Casteel, Robert Capra, and Jaime Arguello. Procedural Knowledge Search by Intelligence Analysts. Proceedings of the 7th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'22), 2022.

Catherine L. Smith, Kelsey Urgo, Jaime Arguello and Robert Capra. Learner, Assignment, and Domain: Contextualizing Search for Comprehension. Proceedings of the 7th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'22), 2022.

Jiaming Qu, Jaime Arguello, and Yue Wang. A Study of Explainability Features to Scrutinize Faceted Filtering Results. To appear in Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM'21), 2021.

Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, and Fernando Diaz. Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. Proceedings of the 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'21), 2021.

Bogeum Choi, Jaime Arguello, and Robert Capra. OrgBox: A Knowledge Representation Tool to Support Complex Search Tasks. Proceedings of the 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'21), 2021.

Jiaming Qu, Jaime Arguello, and Yue Wang. A Deep Analysis of an Explainable Retrieval Model for Precision Medicine Literature Search. Proceedings of the 43rd European Conference in Information Retrieval (ECIR'21), 2021.

Jaime Arguello and Robert Capra. Sources of Evidence for Interactive Table Completion. Proceedings of the 5th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'20), 2020.

Bogeum Choi and Jaime Arguello. Qualitative Analysis of the Effects of Task Complexity on the Functional Role of Information. Proceedings of the 5th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'20), 2020.

Ashley C Griffin, Zhaopeng Xing, Saif Khairat, Yue Wang, Stacy Bailey, Jaime Arguello, and Arlene E Chung. Conversational Agents for Chronic Disease Self-Management: A Systematic Review. Annual Symposium Proceedings (AMIA'20). 2020.

Kelsey Urgo, Jaime Arguello, and Robert Capra. The Effects of Learning Objectives on Searchers’ Perceptions and Behaviors. Proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR'20), 2020.

Jaime Arguello and Anita Crescenzi. Using Principal Component Analysis to Better UnderstandBehavioral Measures and their Effects. Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR'19), 2019.

Kelsey Urgo, Jaime Arguello, and Robert Capra. Anderson and Krathwohl’s Two-Dimensional Taxonomy Applied to Task Creation and Learning Assessment. Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR'19), 2019.

Robert Capra and Jaime Arguello. Using Trails to Support Users with Tasks of Varying Scope. Poceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR'19), 2019.

Sandeep Avula, Jaime Arguello, Robert Capra, Jordan Dodson, Yuhui Huang, and Filip Radlinski. Embedding Search into a Conversational Platform to SupportCollaborative Search. Proceedings of the 4th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'19), 2019.

Bogeum Choi, Robert Capra, and Jaime Arguello The Effects of Working Memory during Search Tasks of Varying Complexity. Proceedings of the 4th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'19), 2019.

Robert Capra, Jaime Arguello, Heather O'Brien, Yuan Li, and Bogeum Choi. The Effects of Manipulating Task Determinability on Search Behaviors and Outcomes. Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'18), 2018.

Sandeep Avula, Gordon Chadwick, Jaime Arguello, and Robert Capra. SearchBots: User Engagement with ChatBots during Collaborative Search. Proceedings of the 3rd ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'18), 2018.

Heejun Kim and Jaime Arguello Evaluation of Features to Predict the Usefulness of Online Reviews. Proceedings of the 80th Annual Meeting of the Association of Information Science and Technology (ASIST'17), 2017.

Jaime Arguello, Sandeep Avula, and Fernando Diaz. Using Query Performance Predictors to Reduce Spoken Queries. Proceedings of the 39th European Conference on Information Retrieval. (ECIR'17), 2017.

Robert Capra, Jaime Arguello, and Yinglong Zhang. The Effects of Search Task Determinability on Search Behavior. Proceedings of the 39th European Conference on Information Retrieval. (ECIR'17), 2017.(Best Paper Award)

Anita Crescenzi, Robert Capra, and Jaime Arguello. Time Limits, Information Search and the Use of Search Assistance. Proceedings of the 2nd ACM SIGIR Conference in Information Interaction and Retrieval (CHIIR'17), 2016.

Jaime Arguello, Sandeep Avula, and Fernando Diaz. Using Query Performance Predictors to Improve Spoken Queries. Proceedings of the 38th European Conference in Information Retrieval (ECIR'16), 2016.

Lauren Turpin, Diane Kellyand Jaime Arguello. To Blend or Not to Blend?: Perceptual Speed, Visual Memory and Aggregated Search. Proceedings of the 39th Annnual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'16), 2016.

Diane Kelly, Jaime Arguello, Ashlee Edwards, and Wan-Ching Wu. Development and Evaluation of Search Tasks for IIR Experiments a Cognitive Complexity Framework. Proceedings of the 6th International Conference on the Theory of Information Retrieval (ICTIR'15), 2015.

Robert Capra, Jaime Arguello, Anita Crescenzi, and Emily Vardell. Differences in the Use of Search Assistance for Tasks of Varying Complexity. Proceedings of the 38th Annnual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'15), 2015.

Jaime Arguello and Kyle Shaffer. Predicting Speech Acts in MOOC Forum Posts. Proceedings of the 9th International Conference on Web and Social Media (ICWSM'15), 2015.

Jaime Arguello. Improving Aggregated Search Coherence. Proceedings of the 37th European Conference in Information Retrieval (ECIR'15), 2015.

Jaime Arguello and Robert Capra. The Effects of Rank and Border on Aggregated Search Coherence and Search Behavior. Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM'14), 2014.

Jaime Arguello. Predicting Search Task Difficulty. Proceedings of the 36th European Conference in Information Retrieval (ECIR'14), 2014.

Kathy Brennan, Diane Kelly, and Jaime Arguello. The Effect of Cognitive Abilities on Information Search for Tasks of Varying Levels of Complexity. Proceedings of the 4th Information Interaction in Context Symposium (IIiX'14), 2014. (Best Paper Award)

Jaime Arguello, Robert Capra, and Wan-Ching Wu Factors Affecting Aggregated Search Coherence and Search Behavior. Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM'13), 2013.

Robert Capra, Jaime Arguello, and Falk Scholer Augmenting Search Result Surrogates with Images. Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM'13), 2013.

Anita Crescenzi, Robert Capra, and Jaime Arguello. Time Pressure, User Satisfaction, and Task Difficulty. Proceedings of American Society for Information Science and Technology Annual Meeting (ASIST'13), 2013.

Jaime Arguello and Robert Capra. The Effect of Aggregated Search Coherence on Search Behavior. Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM'12), 2012.

Jaime Arguello, Wan-Ching Wu, Diane Kelly, and Ashlee Edwards. Task Complexity, Vertical Display, and User Interaction in Aggregated Search. Proceedings of the 35th Annnual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'12), 2012.

Robert Capra, Annie T. Chen, Katie Hawthorne, Jaime Arguello, Lee Shaw, and Gary Marchionini. Design and Evaluation of a System to Support Collaborative Search. Proceedings of the 75th Annual Meeting of the American Society of Information Science and Technology. (ASIST'12), 2012.

Wan-Ching Wu, Diane Kelly, Ashlee Edwards, and Jaime Arguello. Grannies, Tanning Beds, Tattoos and NASCAR: Evaluation of Search Tasks with Varying Levels of Cognitive Complexity. Proceedings of the 4th Information Interaction in Context Symposium (IIiX'12), 2012. (Best Poster Award)

Jaime Arguello, Fernando Diaz, and Jamie Callan. Learning to Aggregate Vertical Results into Web Search Results. Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM'11) (An extended version of this paper is provided here).

Jaime Arguello, Fernando Diaz, Jamie Callan, and Ben Carterette. A Methodology for Evaluating Aggregated Search Results. Proceedings of the 33rd European Conference on Information Retrieval. (ECIR'11), 2011. (Best Student Paper Award)

Jaime Arguello, Fernando Diaz, and Jean-François Paiement. Vertical Selection in the Presence of Unlabeled Verticals. Proceedings of the 33rd Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'10), 2010.

Jaime Arguello, Jamie Callan, and Fernando Diaz. Classification-based Resource Selection. Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM'09), 2009.

Jaime Arguello, Fernando Diaz, Jamie Callan, and Jean-François Crespo. Sources of Evidence for Vertical Selection. Proceedings of the 32nd Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'09), 2009. (Best Paper Award)

Fernando Diaz and Jaime Arguello. Adaptation of Offline Vertical Selection Predictions in the Presence of User Feedback.. Proceedings of the 32nd Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'09), 2009.

Jonathan Elsas, Jaime Arguello, Jamie Callan, and Jaime Carbonell. Retrieval and Query Expansion Models for Blog Feed Search. Proceedings of the 31st Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'08), 2008.

Jaime Arguello, Jonathan Elsas, Jamie Callan and Jaime Carbonell. Document Representation and Query Expansion Models for Blog Recommendation. Proceedings of the 2nd International Conference in Weblogs and Social Media (ICWSM'08), 2008 (Best Paper Nomination)

Jaime Arguello and Jamie Callan. A Bootstrapping Approach for Identifying Stakeholders in Public-Comment Corpora. Proceedings of the 8th Annual International Conference in Digital Government Research (DG.O'07), 2007.

Jaime Arguello and Carolyn Rosé. Museli: A Multi-source Evidence Integration Approach to Topic-Segmentation of Dialogue. Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers (HLT-NAACL'06), 2006. (Short Paper)

Jaime Arguello, Brian Butler, Lisa Joyce, Robert Kraut, Kimberly Ling, Carolyn Rosé, and Xiaoqing Wang. Talk to Me: Foundations of Successful Individual-Group Interactions in Online Communities. Proceedings of the SIGCHI conference on Human Factors in computing systems (CHI'06), 2006.

Carolyn Rosé, Carol Pai, and Jaime Carguello. Enabling Non-Linguists to Author Advanced Conversational Interfaces Easily. Proceedings of the 18th International FLAIRS Conference, 2005.

Workshop and TREC

Kelsey Urgo and Jaime Arguello. Capturing Self-Regulated Learning During Search. Proceedings of the 3rd International Workshop on Investigating Learning During Web Search (IWILDS'22), 2022.

Jaime Arguello, Bogeum Choi, and Robert Capra. Factors Affecting Users' Information Requests. Proceedings of the 1st SIGIR Workshop on Conversational Approaches to Information Retrieval (CAIR'17), 2017.

Sandeep Avula and Jaime Arguello. Query-expansion Approaches for Microblog Retrieval. Proceedings of the 24th Text REtrieval Conference (TREC'15), National Institute of Standards and Technology, special publication, 2015.

Sandeep Avula, John O'Connor, and Jaime Arguello. A Nearest-Neighbor Approach to Contextual Suggestion. Proceedings of the 22nd Text REtrieval Conference (TREC'13), National Institute of Standards and Technology, special publication, 2013.

Craig Willis, Richard Medlin, and Jaime Arguello. Incorporating Temporal Information in Microblog Retrieval. Proceedings of the 21st Text REtrieval Conference (TREC'12), National Institute of Standards and Technology, special publication, 2012.

Jaime Arguello, Jonathan Elsas, Changkuk Yoo, Jamie Callan, and Jaime Carbonell. Document and query expansion models for blog distillation. Proceedings of the 17th Text REtrieval Conference (TREC'08), National Institute of Standards and Technology, special publication, 2008.

Jonathan Elsas, Jaime Arguello, Jamie Callan, and Jaime Carbonell. Retrieval and Feedback Models for Blog Distillation. Proceedings of the 16th Text REtrieval Conference (TREC'07), National Institute of Standards and Technology, special publication, 2007. (Best Performing System)

Jaime Arguello and Carolyn Rosé. Topic Segmentation of Dialogue. Proceedings of the HLT-NAACL 2006 Workshop on Analyzing Conversations in Text and Speech, 2006. (Workshop Paper)

Gahgene Gweon, Jaime Arguello, Carol Pai, Regan Carey, Zachary Zaiss, and Carolyn Rosé. Towards a Prototyping Tool for Behavior-Oriented Authoring of Conversational Agents for Educational Applications. Proceedings of the ACL 2005 Second Workshop for Building Educational Application using NLP, 2005. (Workshop Paper)

Tutorials

Jaime Arguello, Fernando Diaz, and Milad Shokouhi. Integrating and Ranking Aggregated Content on the Web. Companion of the Proceedings of the 21st World Wide Web Conference (WWW'12), 2012. (Tutorial)

Demos

Sandeep Avula and Jaime Arguello. Wizard of Oz Interface to Study System Initiative for Conversational Search. Proceedings of the 5th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'20), 2020. (Demonstration Paper)

Robert Capra, Jaime Arguello, Annie Chen, Katie Hawthorne, Gary Marchionini, and Lee Shaw. The ResultsSpace Collaborative Search Environment. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries. (JDCL'12), 2012. (Demonstration Paper)

Jaime Arguello and Carolyn Rosé. InfoMagnets: Making Sense of Corpus Data. Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Demonstrations (HLT-NAACL'06), 2006. (Demonstration Paper)