What are you looking for?: an eye-tracking study of information usage in web search

A taxonomy of web search

Broder, A. (2002) · ACM SIGIR Forum · doi:10.1145/792550.792552 · Cited by 1,944 · see citing works

Accurately interpreting clickthrough data as implicit feedback

Joachims, T., Granka, L., Pan, B., Hembrooke, H., & Gay, G. (2005) · Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1076034.1076063 · Cited by 1,408 · see citing works

Understanding user goals in web search

Rose, D. E., & Levinson, D. (2004) · International World Wide Web Conference (WWW) · doi:10.1145/988672.988675 · Cited by 943 · see citing works

Faceted metadata for image search and browsing

Yee, K.-P., Swearingen, K., Li, K., & Hearst, M. A. (2003) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/642611.642681 · Cited by 910 · see citing works

The perfect search engine is not enough

Teevan, J. B., Alvarado, C., Ackerman, M. S., & Karger, D. R. (2004) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985745 · Cited by 547 · see citing works

Using information scent to model user information needs and actions and the Web

Ed, H., Pirolli, P. L. T., Chen, K., & Pitkow, J. E. (2001) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/365024.365325 · Cited by 418 · see citing works

Automatic identification of user goals in Web search

Lee, U., Liu, Z., & Cho, J. J. (2005) · International World Wide Web Conference (WWW) · doi:10.1145/1060745.1060804 · Cited by 399 · see citing works

Patterns of Search: Analyzing and Modeling Web Query Refinement

Lau, T. A., & Horvitz, E. (1999) · Courses and lectures · doi:10.1007/978-3-7091-2490-1_12 · Cited by 254 · see citing works

The influence of task and gender on search and evaluation behavior using Google

Lorigo, L., Pan, B., Hembrooke, H. A., Joachims, T., Granka, L. A., & Gay, G. K. (2005) · Information Processing & Management · doi:10.1016/j.ipm.2005.10.001 · Cited by 252 · see citing works

An eye tracking study of the effect of target rank on web search

Guan, Z., & Cutrell, E. B. (2007) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240691 · Cited by 243 · see citing works

Optimizing search by showing results in context

Dumais, S., Cutrell, E. B., & Chen, H. (2001) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/365024.365116 · Cited by 221 · see citing works

Information scent as a driver of Web behavior graphs

Card, S. K., Pirolli, P. L. T., Wege, M. M. V. D., Morrison, J. B., Reeder, R. W., Schraedley-Desmond, P., & Boshart, J. (2001) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/365024.365331 · Cited by 167 · see citing works

Searching to eliminate personal information management

Cutrell, E. B., Dumais, S., & Teevan, J. B. (2006) · Communications of the ACM · doi:10.1145/1107458.1107492 · Cited by 153 · see citing works

Cognitive strategies and eye movements for searching hierarchical computer displays

Hornof, A. J., & Halverson, T. (2003) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/642611.642656 · Cited by 97 · see citing works

Depth- and breadth-first processing of search result lists

Klöckner, K., Wirschum, N., & Jameson, A. (2004) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/985921.986115 · Cited by 82 · see citing works

Evaluation and evolution of a browse and search interface: Relation Browser++

Zhang, J., & Marchionini, G. (2005) · doi:10.5555/1065226.1065279 · Cited by 80 · see citing works

The role of context in question answering systems

Lin, J., Quan, D., Sinha, V., Bakshi, K., Huynh, D. F., Katz, B., & Karger, D. R. (2003) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/765891.766119 · Cited by 63 · see citing works

Associating search and navigation behavior through log analysis

Mat‐Hassan, M., & Mark Levene, A. (2005) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20185 · Cited by 55 · see citing works

The Usefulness of Dynamically Categorizing Search Results

Pratt, W., & Fagan, L. M. (2000) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2000.0070605 · Cited by 49 · see citing works

Good enough but I'll just check: Web-page search as attentional refocusing

Brumby, D. P., & Howes, A. (2004) · Cited by 43 · see citing works

Eye tracking in MSN Search: Investigating snippet length, target position and task types

Cutrell, E., & Guan, Z. (2007) · Cited by 16 · see citing works

Untitled work

(2001) · doi:10.1002/1097-4571(2000)9999:9999

Measuring personalization of web search

Hannak, A., Sapiezynski, P., Molavi Kakhki, A., Krishnamurthy, B., Lazer, D., Mislove, A., & Wilson, C. (2013) · Proceedings of the 22nd international conference on World Wide Web · doi:10.1145/2488388.2488435 · Cited by 396 · see citing works

No clicks, no problem

Huang, J. J. S., White, R. W., & Dumais, S. (2011) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979125 · Cited by 270 · see citing works

Understanding PubMed(R) user search behavior through log analysis

Islamaj Dogan, R., Murray, G. C., Neveol, A., & Lu, Z. (2009) · Database · doi:10.1093/database/bap018 · Cited by 265 · see citing works

What do you see when you're surfing?

Buscher, G., Cutrell, E. B., & Morris, M. R. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518705 · Cited by 254 · see citing works

CROSSROADS—Identifying Viable “Need–Solution Pairs”: Problem Solving Without Problem Formulation

von Hippel, E., & von Krogh, G. (2015) · Organization Science · doi:10.1287/orsc.2015.1023 · Cited by 246 · see citing works

An eye tracking study of the effect of target rank on web search

Guan, Z., & Cutrell, E. B. (2007) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240691 · Cited by 243 · see citing works

Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking

Hasanzadeh, S., Esmaeili, B., & Dodd, M. D. (2018) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0001516 · Cited by 217 · see citing works

User see, user point

Huang, J. J. S., White, R. W., & Buscher, G. (2012) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2207676.2208591 · Cited by 197 · see citing works

Mining query logs: turning search usage data into knowledge

Silvestri, F. (2009) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000013 · Cited by 194 · see citing works

Measuring User Engagement

Lalmas, M., O’Brien, H., & Yom-Tov, E. (2015) · Synthesis Lectures on Information Concepts, Retrieval, and Services · doi:10.1007/978-3-031-02289-0 · Cited by 192 · see citing works

Measuring spontaneous and instructed evaluation processes during Web search: Integrating concurrent thinking-aloud protocols and eye-tracking data

Gerjets, P. H., Kammerer, Y., & Werner, B. (2010) · Learning and Instruction · doi:10.1016/j.learninstruc.2010.02.005 · Cited by 186 · see citing works

Augmenting web pages and search results to support credibility assessment

Schwarz, J., & Morris, M. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979127 · Cited by 181 · see citing works

What do developers search for on the web?

Xia, X., Bao, L., Lo, D., Kochhar, P. S., Hassan, A. E., & Xing, Z. (2017) · Empirical Software Engineering · doi:10.1007/s10664-017-9514-4 · Cited by 174 · see citing works

Good abandonment in mobile and PC internet search

Li, J., Huffman, S. B., & Tokuda, A. (2009) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1571941.1571951 · Cited by 158 · see citing works

Beyond dwell time

Guo, Q., & Agichtein, E. (2012) · International World Wide Web Conference (WWW) · doi:10.1145/2187836.2187914 · Cited by 154 · see citing works

What do exploratory searchers look at in a faceted search interface?

Kules, B., Capra, R., Banta, M., & Sierra, T. (2009) · ACM/IEEE Joint Conference on Digital Libraries · doi:10.1145/1555400.1555452 · Cited by 154 · see citing works

Is exploratory search different? A comparison of information search behavior for exploratory and lookup tasks

Athukorala, K., Głowacka, D., Jacucci, G., Oulasvirta, A., & Vreeken, J. (2016) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23617 · Cited by 150 · see citing works

The impact of identifier style on effort and comprehension

Binkley, D., Davis, M. H., Lawrie, D., Maletic, J. I., Morrell, C. H., & Sharif, B. (2012) · Empirical Software Engineering · doi:10.1007/s10664-012-9201-4 · Cited by 147 · see citing works

Ready to buy or just browsing?

Guo, Q., & Agichtein, E. (2010) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1835449.1835473 · Cited by 145 · see citing works

The good, the bad, and the random

Buscher, G., Dumais, S., & Cutrell, E. B. (2010) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1835449.1835459 · Cited by 145 · see citing works

An Eye Tracking Study on camelCase and under_score Identifier Styles

Sharif, B., & Maletic, J. I. (2010) · IEEE International Conference on Program Comprehension (ICPC) · doi:10.1109/icpc.2010.41 · Cited by 144 · see citing works

Assieme

Hoffmann, R., Fogarty, J. A., & Weld, D. S. (2007) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/1294211.1294216 · Cited by 131 · see citing works

Online Evaluation for Information Retrieval

Hofmann, K., Li, L. C., & Radlinski, F. (2016) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000051 · Cited by 131 · see citing works

The role of Internet-specific epistemic beliefs in laypersons’ source evaluations and decisions during Web search on a medical issue

Kammerer, Y., Bråten, I., Gerjets, P., & Strømsø, H. I. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.10.012 · Cited by 129 · see citing works

Fake News or Weak Science? Visibility and Characterization of Antivaccine Webpages Returned by Google in Different Languages and Countries

Arif, N., Al-Jefri, M. M., Bizzi, I. H., Perano, G. B., Goldman, M., Haq, I., Chua, K. L., Mengozzi, M., Neunez, M., Smith, H. E., et al. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01215 · Cited by 128 · see citing works

Conversational Information Seeking

Zamani, H., Trippas, J. R., Dalton, J., & Radlinski, F. (2023) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000081 · Cited by 124 · see citing works

Searching, browsing, and clicking in a search session

Jiang, J., He, D., & Allan, J. (2014) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2600428.2609633 · Cited by 123 · see citing works

From Keyword Search to Exploration: Designing Future Search Interfaces for the Web

Wilson, M. L., Bill, K., schraefel, M. C., & Shneiderman, B. (2010) · Foundations and Trends® in Web Science · doi:10.1561/1800000003 · Cited by 122 · see citing works

Towards predicting web searcher gaze position from mouse movements

Guo, Q., & Agichtein, E. (2010) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1753846.1754025 · Cited by 121 · see citing works

The influence of caption features on clickthrough patterns in web search

Clarke, C. L. A., Agichtein, E., Dumais, S., & White, R. W. (2007) · Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1277741.1277767 · Cited by 119 · see citing works

Hotmap: Looking at Geographic Attention

Fisher, D. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70561 · Cited by 117 · see citing works

SearchGazer: Webcam Eye Tracking for Remote Studies of Web Search

Papoutsaki, A., Laskey, J., & Huang, J. (2017) · Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval · doi:10.1145/3020165.3020170 · Cited by 116 · see citing works

Attentive documents

Buscher, G., Dengel, A., Biedert, R., & van Elst, L. (2012) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/2070719.2070722 · Cited by 116 · see citing works

Source evaluation of domain experts and novices during Web search

Brand‐Gruwel, S., Kammerer, Y., van Meeuwen, L. W., & van Gog, T. (2017) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12162 · Cited by 116 · see citing works

Learning to re-rank

Jain, V., & Varma, M. (2011) · International World Wide Web Conference (WWW) · doi:10.1145/1963405.1963447 · Cited by 115 · see citing works

Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts

Navalpakkam, V., Jentzsch, L., Sayres, R., Ravi, S., Ahmed, A. A., & Smola, A. J. (2013) · International World Wide Web Conference (WWW) · doi:10.1145/2488388.2488471 · Cited by 107 · see citing works

Individual differences in gaze patterns for web search

Dumais, S., Buscher, G., & Cutrell, E. B. (2010) · Information Interaction in Context Symposium (IIiX) · doi:10.1145/1840784.1840812 · Cited by 104 · see citing works

The Role of Search Result Position and Source Trustworthiness in the Selection of Web Search Results When Using a List or a Grid Interface

Kammerer, Y., & Gerjets, P. H. (2013) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2013.846790 · Cited by 103 · see citing works

Evaluating the retrieval effectiveness of web search engines using a representative query sample

Lewandowski, D. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23304 · Cited by 98 · see citing works

Direct answers for search queries in the long tail

Bernstein, M. S., Teevan, J., Dumais, S., Liebling, D., & Horvitz, E. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2207676.2207710 · Cited by 97 · see citing works

When more is less

Oulasvirta, A., Hukkinen, J. P., & Schwartz, B. N. (2009) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1571941.1572030 · Cited by 96 · see citing works

BubbleView

Kim, N. W., Bylinskii, Z., Borkin, M. A., Gajos, K. Z., Oliva, A., Durand, F., & Pfister, H. (2017) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3131275 · Cited by 95 · see citing works

Scanpath clustering and aggregation

Goldberg, J. H., & Helfman, J. I. (2010) · ACM Symposium on Eye Tracking Research and Applications (ETRA) · doi:10.1145/1743666.1743721 · Cited by 92 · see citing works

Query expansion using gaze-based feedback on the subdocument level

Buscher, G., Dengel, A. R., & van Elst, L. (2008) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1390334.1390401 · Cited by 91 · see citing works

Improving searcher models using mouse cursor activity

Huang, J. J. S., White, R. W., Buscher, G., & Wang, K. (2012) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2348283.2348313 · Cited by 91 · see citing works

An Eye-tracking Study of User Interactions with Query Auto Completion

Hofmann, K., Mitra, B., Radlinski, F., & Shokouhi, M. (2014) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2661829.2661922 · Cited by 90 · see citing works

Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction

Simkute, A., Tankelevitch, L., Kewenig, V., Scott, A. E., Sellen, A., & Rintel, S. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2405782 · Cited by 89 · see citing works

Inferring user knowledge level from eye movement patterns

Cole, M., Jacek Gwizdka, A., Liu, C., Belkin, N. J., & Zhang, X. (2012) · Information Processing & Management · doi:10.1016/j.ipm.2012.08.004 · Cited by 86 · see citing works

Factors influencing viewing behaviour on search engine results pages: a review of eye-tracking research

Lewandowski, D., & Kammerer, Y. (2020) · Behaviour and Information Technology · doi:10.1080/0144929x.2020.1761450 · Cited by 84 · see citing works

Information Retrieval

(2024) · ACM eBooks · doi:10.1145/3674127 · Cited by 82 · see citing works

Measuring User Engagement

Lalmas, M., O'Brien, H., & Yom‐Tov, E. (2014) · Synthesis lectures on information concepts, retrieval, and services · doi:10.2200/s00605ed1v01y201410icr038 · Cited by 81 · see citing works

Large-scale analysis of individual and task differences in search result page examination strategies

Buscher, G., White, R. W., Dumais, S., & Huang, J. J. S. (2012) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2124295.2124341 · Cited by 78 · see citing works

Eye‐tracking analysis of user behavior and performance in web search on large and small screens

Kim, J., Thomas, P., Sankaranarayana, R. S., Gedeon, T., & Yoon, H. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23187 · Cited by 76 · see citing works

Searching the Web for conflicting topics: Page and user factors

Salmerón, L., Kammerer, Y., & García-Carrión, P. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.04.034 · Cited by 74 · see citing works

Webpage Saliency

Shen, C., & Zhao, Q. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10584-0_3 · Cited by 74 · see citing works

How many results per page?

Kelly, D., & Azzopardi, L. A. (2015) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2766462.2767732 · Cited by 72 · see citing works

Leaving so soon?

Diriye, A., White, R. W., Buscher, G., & Dumais, S. (2012) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2396761.2398399 · Cited by 68 · see citing works

An eye‐tracking approach to the analysis of relevance judgments on the Web: The case of Google search engine

Balatsoukas, P., & Ruthven, I. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22707 · Cited by 66 · see citing works

Large interactive visualization of density functions on big data infrastructure

Perrot, A., Bourqui, R., Hanusse, N., Lalanne, F., & Auber, D. (2015) · IEEE Symposium on Large Data Analysis and Visualization · doi:10.1109/ldav.2015.7348077 · Cited by 63 · see citing works

Generating labels from clicks

Agrawal, R., Halverson, A., Kenthapadi, K., Mishra, N., & Tsaparas, P. (2009) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1498759.1498824 · Cited by 62 · see citing works

Code fragment summarization

Ying, A. T. T., & Robillard, M. P. (2013) · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · doi:10.1145/2491411.2494587 · Cited by 62 · see citing works

Recognition of understanding level and language skill using measurements of reading behavior

Martínez-Gómez, P., & Aizawa, A. (2014) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/2557500.2557546 · Cited by 61 · see citing works

Improving Search Results Quality by Customizing Summary Lengths

Kaißer, M., Hearst, M. A., & Lowe, J. B. (2008) · Cited by 61 · see citing works

A Study of Snippet Length and Informativeness

Maxwell, D., Azzopardi, L. A., & Moshfeghi, Y. (2017) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3077136.3080824 · Cited by 60 · see citing works

Discriminating the relevance of web search results with measures of pupil size

Oliveira, F. T. P., Aula, A., & Russell, D. M. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1519038 · Cited by 60 · see citing works

Addressing people's information needs directly in a web search result page

Chilton, L. B., & Teevan, J. B. (2011) · International World Wide Web Conference (WWW) · doi:10.1145/1963405.1963413 · Cited by 58 · see citing works

Influence of Vertical Result in Web Search Examination

Liu, Z., Liu, Y., Zhou, K., Zhang, M., & Ma, S. (2015) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2766462.2767714 · Cited by 55 · see citing works

Attention Allocation in Information-Rich Environments: The Case of News Aggregators

Dellarocas, C. N., Sutanto, J., Calin, M., & Palme, E. (2015) · Management Science · doi:10.1287/mnsc.2015.2237 · Cited by 55 · see citing works

From Skimming to Reading

Liu, Y., Wang, C., Zhou, K., Nie, J., Zhang, M., & Ma, S. (2014) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2661829.2661907 · Cited by 54 · see citing works

Adaptive Visualization of Search Results: Bringing User Models to Visual Analytics

Ahn, J., & Brusilovsky, P. L. (2009) · Information Visualization · doi:10.1057/ivs.2009.12 · Cited by 53 · see citing works

Can relevance of images be inferred from eye movements?

Arto Klami, A., Saunders, C. J., de Campos, T. E., & Samuel Kaski, A. (2008) · Multimedia Information Retrieval · doi:10.1145/1460096.1460120 · Cited by 52 · see citing works

Delta

Kong, N., Grossman, T., Hartmann, B., Agrawala, M., & Fitzmaurice, G. W. (2012) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2207676.2208549 · Cited by 52 · see citing works

Taking It All In? Visual Attention in Microblog Consumption

Counts, S., & Fisher, K. J. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v5i1.14103 · Cited by 52 · see citing works

Everything you always wanted to know about a dataset: Studies in data summarisation

Koesten, L., Simperl, E., Blount, T., Kacprzak, E., & Tennison, J. (2020) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.10.004 · Cited by 51 · see citing works

Discovering common motifs in cursor movement data for improving web search

Lagun, D., Сергеевич, А. М., Guo, Q., & Agichtein, E. (2014) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2556195.2556265 · Cited by 51 · see citing works

Using eye movement data to infer human behavioral intentions

Hyeonggyu, P., Lee, S., Lee, M., Chang, M.-S., & Kwak, H.-W. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.06.016 · Cited by 51 · see citing works

Auditing the Partisanship of Google Search Snippets

Hu, D., Jiang, S., Robertson, R. E., & Wilson, C. (2019) · International World Wide Web Conference (WWW) · doi:10.1145/3308558.3313654 · Cited by 51 · see citing works

Enhanced results for web search

Haas, K., Mika, P., Tarjan, P., & Blanco, R. (2011) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2009916.2010014 · Cited by 50 · see citing works

Instrumenting the dynamic web

Edmonds, A., White, R. W., Morris, D., & Drucker, S. M. (2007) · Journal of Web Engineering · Cited by 49 · see citing works

Incorporating Non-sequential Behavior into Click Models

Wang, C., Liu, Y., Wang, M., Zhou, K., Nie, J., & Ma, S. (2015) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2766462.2767712 · Cited by 49 · see citing works

ViewSer

Lagun, D., & Agichtein, E. (2011) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2009916.2009967 · Cited by 49 · see citing works

Chapter 10 How Search Engine Users Evaluate and Select Web Search Results: The Impact of the Search Engine Interface on Credibility Assessments

Kammerer, Y., & Gerjets, P. H. (2012) · Library and information science · doi:10.1108/s1876-0562(2012)002012a012 · Cited by 48 · see citing works

Using information scent and need for cognition to understand online search behavior

Wu, W., Kelly, D., & Sud, A. (2014) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2600428.2609626 · Cited by 48 · see citing works

The presentation of health-related search results and its impact on negative emotional outcomes

Lauckner, C., & Hsieh, G. (2013) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2470702 · Cited by 48 · see citing works

Effects of task complexity on online search behavior of adolescents

Walhout, J., Oomen, P., Jarodzka, H. M., & Brand‐Gruwel, S. (2017) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23782 · Cited by 48 · see citing works

Using Information Scent to Understand Mobile and Desktop Web Search Behavior

Ong, K., Järvelin, K., Sanderson, M., & Scholer, F. (2017) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3077136.3080817 · Cited by 47 · see citing works

Battery-Free Eye Tracker on Glasses

Li, T., & Zhou, X. (2018) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/3241539.3241578 · Cited by 47 · see citing works

Health information quality of websites on periodontology

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Ten Social Dimensions of Conversations and Relationships

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An Eye-Tracking Study of Query Reformulation

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