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Measuring User Engagement

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Lalmas, Mounia, O’Brien, Heather, Yom-Tov, Elad·2015·Synthesis Lectures on Information Concepts, Retrieval, and Services

DOI 10.1007/978-3-031-02289-0

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Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
The Structure and Function of Complex Networks
Newman, M. E. J. (2003) · SIAM Review · doi:10.1137/s003614450342480 · Cited by 18,719
Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research
(1988) · Advances in Psychology · doi:10.1016/s0166-4115(08)62386-9 · Cited by 15,003
The weirdest people in the world?
Henrich, J., Heine, S. J., & Norenzayan, A. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0999152x · Cited by 12,641
Qualitative research: Methods in the social sciences
(2006) · PsycEXTRA Dataset · doi:10.1037/e668352010-001 · Cited by 10,619
The benefits of Facebook “friends:” Social capital and college students' use of online social network sites.
Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
SUS: A 'Quick and Dirty' Usability Scale
(1996) · Usability Evaluation In Industry · doi:10.1201/9781498710411-35 · Cited by 8,989
Critical Incident Technique
Rogelberg, S. G. (2007) · Sage eBooks · doi:10.4135/9781412952651.n55 · Cited by 5,309
Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage1
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726
Untitled work
Ericsson (1993) · doi:10.1037/0033-295x.87.3.215 · Cited by 4,539
Book Review: Protocol Analysis: Verbal Reports as Data
Venkatesan, M., Ericsson, K. A., & Simon, H. A. (1986) · Journal of Marketing Research · doi:10.2307/3151491 · Cited by 4,364
WEIRD languages have misled us, too
Majid, A., & Levinson, S. C. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1000018x · Cited by 4,177
Social and Economic Networks
Jackson, M. O. (2010) · Princeton University Press eBooks · doi:10.2307/j.ctvcm4gh1 · Cited by 3,579
Conducting behavioral research on Amazon’s Mechanical Turk
Mason, W., & Suri, S. (2012) · Behavior Research Methods · doi:10.3758/s13428-011-0124-6 · Cited by 3,172
Untitled work
(2006) · doi:10.1080/01449290500330331 · Cited by 3,026
Measuring and defining the experience of immersion in games
Jennett, C., Cox, A. L., Cairns, P., Dhoparee, S., Epps, A., Tijs, T., & Walton, A. (2008) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2008.04.004 · Cited by 2,065
The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach
McKinney, V. R., Yoon, K., & Zahedi, F. M. (2002) · Information Systems Research · doi:10.1287/isre.13.3.296.76 · Cited by 1,997
Affect Grid: A single-item scale of pleasure and arousal.
Russell, J. A., Weiss, A., & Mendelsohn, G. A. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.57.3.493 · Cited by 1,951
The Hawthorne Effect: a randomised, controlled trial
McCarney, R., Warner, J. P., Iliffe, S., van Haselen, R. A., Griffin, M., & Fisher, P. (2007) · BMC Medical Research Methodology · doi:10.1186/1471-2288-7-30 · Cited by 1,838
Review of: Berg, Bruce L. Qualitative research methods for the social sciences, 6th ed. Boston, MA: Allyn and Bacon, 2007.
Wilson, T. D. (2008) · Information Research · Cited by 1,800
The Interview: From Neutral Stance to Political Involvement.
Fontana, A., & Frey, J. H. (2005) · Cited by 1,734
Assessing dimensions of perceived visual aesthetics of web sites
Lavie, T., & Tractinsky, N. (2003) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2003.09.002 · Cited by 1,418
Human gaze control during real-world scene perception
Henderson, J. (2003) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2003.09.006 · Cited by 1,409
What is beautiful is usable
Tractinsky, N., Katz, A. S., & Ikar, D. (2000) · Interacting with Computers · doi:10.1016/s0953-5438(00)00031-x · Cited by 1,376
Direct Manipulation Interfaces
Hutchins, E. L., Hollan, J. D., & Norman, D. A. (1985) · Human-Computer Interaction · doi:10.1207/s15327051hci0104_2 · Cited by 1,374
Habits make smartphone use more pervasive.
Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012) · Personal and Ubiquitous Computing · doi:10.1007/s00779-011-0412-2 · Cited by 1,190
Microcomputer Playfulness: Development of a Measure With Workplace Implications
Webster, J., & Martocchio, J. J. (1992) · MIS Quarterly · doi:10.2307/249576 · Cited by 1,153
Understanding, scoping and defining user experience
Law, E. L., Roto, V., Hassenzahl, M., Vermeeren, A. P. O. S., & Kort, J. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518813 · Cited by 1,129
Attention web designers: You have 50 milliseconds to make a good first impression!
Lindgaard, G., Fernandes, G., Dudek, C., & Brown, J. M. (2006) · Behaviour and Information Technology · doi:10.1080/01449290500330448 · Cited by 1,098
The Experience Sampling Method
Larson, R. W., & Csíkszentmihályi, M. (2014) · Springer eBooks · doi:10.1007/978-94-017-9088-8_2 · Cited by 1,093
Sentiment strength detection for the social web
Thelwall, M., Buckley, K., & Paltoglou, G. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21662 · Cited by 1,062
Improving web search ranking by incorporating user behavior information
Agichtein, E., Brill, E., & Dumais, S. (2006) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1148170.1148177 · Cited by 1,060
Predicting clicks: estimating the click-through rate for new ads
Richardson, M., Dominowska, E., & Ragno, R. (2007) · Proceedings of the 16th international conference on World Wide Web · doi:10.1145/1242572.1242643 · Cited by 1,049
When second wave HCI meets third wave challenges
Bødker, S. (2006) · Nordic Conference on Human-Computer Interaction · doi:10.1145/1182475.1182476 · Cited by 1,005
Seriously considering play: Designing interactive learning environments based on the blending of microworlds, simulations, and games
Rieber, L. P. (1996) · Educational Technology Research and Development · doi:10.1007/bf02300540 · Cited by 997
Characterizing browsing strategies in the World-Wide web
Catledge, L. D., & Pitkow, J. E. (1995) · Computer Networks and ISDN Systems · doi:10.1016/0169-7552(95)00043-7 · Cited by 937
A computational model of trust and reputation
Mui, L., Mohtashemi, M., & Halberstadt, A. (2003) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2002.994181 · Cited by 923
Evaluation of Subjective Mental Workload: A Comparison of SWAT, NASA‐TLX, and Workload Profile Methods
Rubio-Valdehita, S., Díaz-Ramiro, E. M., Martín, J., & Puente, J. M. (2003) · Applied Psychology · doi:10.1111/j.1464-0597.2004.00161.x · Cited by 917
The Subjective Workload Assessment Technique: A Scaling Procedure for Measuring Mental Workload
Reid, G. B., & Nygren, T. E. (1988) · Advances in psychology · doi:10.1016/s0166-4115(08)62387-0 · Cited by 827
Survival and Event History Analysis
Aalen, O. O., Borgan, Ø., & Gjessing, H. K. (2008) · Statistics for Biology and Health · doi:10.1007/978-0-387-68560-1 · Cited by 813
Characterizing user behavior in online social networks
Benevenuto, F., Rodrigues, T., Cha, M., & Almeida, V. A. F. (2009) · ACM Internet Measurement Conference (IMC) · doi:10.1145/1644893.1644900 · Cited by 795
The Relationship between Eye Movements and Spatial Attention
Shepherd, M., Findlay, J., & Hockey, R. (1986) · The Quarterly journal of experimental psychology. A, Human experimental psychology · doi:10.1080/14640748608401609 · Cited by 715
Methods for Evaluating Interactive Information Retrieval Systems with Users
Kelly, D. (2009) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000012 · Cited by 693
Hidden cognitive states revealed in choice reaching tasks
Song, J., & Nakayama, K. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.04.009 · Cited by 691
Understanding the impact of video quality on user engagement
Dobrian, F., Sekar, V., Awan, A., Stoica, I. G., Joseph, D. A., Ganjam, A., Zhan, J., & Zhang, H. (2011) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/2018436.2018478 · Cited by 674
Implicit interest indicators
Claypool, M. K., Le, P., Wased, M., & Brown, D. C. (2001) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/359784.359836 · Cited by 670
Fundamentals of physiological computing
Fairclough, S. H. (2009) · Interacting with Computers · doi:10.1016/j.intcom.2008.10.011 · Cited by 608
Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI
Oulasvirta, A., Tamminen, S., Roto, V., & Kuorelahti, J. (2005) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1054972.1055101 · Cited by 576
Rating the ratings: Assessing the psychometric quality of rating data.
Saal, F. E., Downey, R. G., & Lahey, M. A. (1980) · Psychological Bulletin · doi:10.1037/0033-2909.88.2.413 · Cited by 545
Retrospective vs. concurrent think-aloud protocols: Testing the usability of an online library catalogue
van den Haak, M. J., de Jong, M. D. T., & Schellens, P. J. (2003) · Behaviour and Information Technology · doi:10.1080/0044929031000 · Cited by 542
Presence: concept, determinants, and measurement:
IJsselsteijn, W. A., de Ridder, H., Freeman, J., & Avons, S. E. (2000) · SPIE Proceedings · doi:10.1117/12.387188 · Cited by 529
Eye movements and visual cognition : scene perception and reading
Rayner, K. (2011) · Medical Entomology and Zoology · Cited by 504
Constructing Effective Questionnaires
Peterson, R. A. (2000) · Sage eBooks · doi:10.4135/9781483349022 · Cited by 503
Financial incentives and the "performance of crowds"
Mason, W., & Watts, D. J. (2010) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1809400.1809422 · Cited by 482
Do procedures for verbal reporting of thinking have to be reactive? A meta-analysis and recommendations for best reporting methods.
Fox, M. C., Ericsson, K. A., & Best, R. (2010) · Psychological Bulletin · doi:10.1037/a0021663 · Cited by 468
Protocol Analysis and Expert Thought: Concurrent Verbalizations of Thinking during Experts' Performance on Representative Tasks
Ericsson, K. A. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816796.013 · Cited by 462
What are you looking for?: an eye-tracking study of information usage in web search
Cutrell, E., & Guan, Z. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240690 · Cited by 460
Evaluating implicit measures to improve web search
Fox, S., Karnawat, K., Mydland, M., Dumais, S., & White, T. (2005) · ACM Transactions on Information Systems · doi:10.1145/1059981.1059982 · Cited by 412
Comparing actual and self-reported measures of Facebook use
Reynol Junco, A. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.11.007 · Cited by 410
Audience engagement in multimedia presentations
Webster, J., & Ho, H. (1997) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/264701.264706 · Cited by 401
Hand in Motion Reveals Mind in Motion
Freeman, J., Dale, R., & Farmer, T. A. (2011) · Front. Psychology · doi:10.3389/fpsyg.2011.00059 · Cited by 392
Individual characteristics associated with World Wide Web use
Atkinson, M., & Kydd, C. T. (1997) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/264701.264705 · Cited by 357
Co-experience: user experience as interaction
Battarbee, K., & Koskinen, I. (2004) · CoDesign · doi:10.1080/15710880412331289917 · Cited by 346
The influence of hedonic and utilitarian motivations on user engagement: The case of online shopping experiences
O'Brien, H. (2010) · Interacting with computers · doi:10.1016/j.intcom.2010.04.001 · Cited by 344
Self-citation
Attention and saccadic eye movements.
Remington, R. W. (1980) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.6.4.726 · Cited by 336
Understanding the impact of video quality on user engagement
Dobrian, F., Sekar, V., Awan, A., Stoica, I. G., Joseph, D. A., Ganjam, A., Zhan, J., & Zhang, H. (2011) · ACM SIGCOMM Computer Communication Review · doi:10.1145/2043164.2018478 · Cited by 332
What can a mouse cursor tell us more?
Chen, M., Anderson, J. R., & Sohn, M. H. (2001) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/634067.634234 · Cited by 322
In the Wild
Elliott, D. (2010) · Cited by 312
The Pulse of News in Social Media: Forecasting Popularity
Bandari, R., Asur, S., & Huberman, B. A. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v6i1.14261 · Cited by 304
Theories, methods and current research on emotions in library and information science, information retrieval and human–computer interaction
Lopatovska, I., & Arapakis, I. (2010) · Information Processing & Management · doi:10.1016/j.ipm.2010.09.001 · Cited by 279
A large scale study of wireless search behavior
Kamvar, M., & Baluja, S. (2006) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1124772.1124877 · Cited by 278
Why is Facebook so successful? Psychophysiological measures describe a core flow state while using Facebook
Mauri, M., Cipresso, P., Balgera, A., Villamira, M., & Riva, G. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0377 · Cited by 273
Mobile computing: a user study on hedonic/utilitarian mobile device usage
Wakefield, R. L., & Whitten, D. (2006) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000619 · Cited by 271
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
Models of User Engagement
Lehmann, J., Lalmas, M., Yom‐Tov, E., & Dupret, G. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31454-4_14 · Cited by 267
Self-citation
Diagnosticity and multidimensional subjective workload ratings
TSANG, P. S., & VELAZQUEZ, V. L. (1996) · Ergonomics · doi:10.1080/00140139608964470 · Cited by 260
To App or Not to App: Engaging Consumers via Branded Mobile Apps
Kim, E., Lin, J.-S., & Sung, Y. (2013) · Journal of Interactive Advertising · doi:10.1080/15252019.2013.782780 · Cited by 259
Enhancing the Design of Web Navigation Systems: The Influence of User Disorientation on Engagement and Performance1
Webster, J., & Ahuja, J. S. (2006) · MIS Quarterly · doi:10.2307/25148744 · Cited by 250
Beyond clicks
Yi, X., Hong, L., Zhong, E., Liu, N. N., & Rajan, S. (2014) · ACM Conference on Recommender Systems (RecSys) · doi:10.1145/2645710.2645724 · Cited by 234
Measuring the user experience on a large scale: user-centered metrics for web applications
Rodden, K., Hutchinson, H., & Fu, X. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753687 · Cited by 233
Display time as implicit feedback
Kelly, D., & Belkin, N. J. (2004) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1008992.1009057 · Cited by 228
A Review of Self-Report and Alternative Approaches in the Measurement of Student Motivation
Fulmer, S. M., & Frijters, J. C. (2009) · Educational Psychology Review · doi:10.1007/s10648-009-9107-x · Cited by 227
Minimizing Method Bias Through Programmatic Research1
Burton‐Jones, A. (2009) · MIS Quarterly · doi:10.2307/20650304 · Cited by 223
Trustworthy online controlled experiments
Kohavi, R., Deng, A., Frasca, B., Longbotham, R., Walker, T., & XU, Y. N. (2012) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2339530.2339653 · Cited by 223
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 206
Understanding the intent behind mobile information needs
Church, K., & Smyth, B. (2009) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/1502650.1502686 · Cited by 205
Quality through flow and immersion
Eickhoff, C., Harris, C. G., de Vries, A. P., & Srinivasan, P. (2012) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2348283.2348400 · Cited by 190
Examining the generalizability of the User Engagement Scale (UES) in exploratory search
O'Brien, H. L., & Toms, E. G. (2012) · Information Processing & Management · doi:10.1016/j.ipm.2012.08.005 · Cited by 187
Self-citation
Exploring the theoretical foundations of playfulness in computer interactions
Woszczynski, A. B., Roth, P. L., & Segars, A. H. (2002) · Computers in Human Behavior · doi:10.1016/s0747-5632(01)00058-9 · Cited by 185
Learning users' interests by unobtrusively observing their normal behavior
Goecks, J., & SHAVLIK, J. W. (2000) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/325737.325806 · Cited by 183
Perceived disorientation: an examination of a new measure to assess web design effectiveness
Ahuja, J. S., & Webster, J. (2001) · Interacting with Computers · doi:10.1016/s0953-5438(01)00048-0 · Cited by 182
Web page revisitation revisited
Obendorf, H., Weinreich, H., Herder, E., & Mayer, M. (2007) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240719 · Cited by 171
Multitasking during Web search sessions
Spink, A. H., Park, M., Jansen, B. J. J., & Pedersen, J. (2004) · Information Processing & Management · doi:10.1016/j.ipm.2004.10.004 · Cited by 170
A characterization of online browsing behavior
Kumar, R., & Tomkins, A. (2010) · International World Wide Web Conference (WWW) · doi:10.1145/1772690.1772748 · Cited by 167
Eye-mouse coordination patterns on web search results pages
Rodden, K., Fu, X., Aula, A., & Spiro, I. (2008) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1358628.1358797 · Cited by 167
Modeling dwell time to predict click-level satisfaction
Kim, Y., Hassan, A., White, R. W., & Zitouni, I. (2014) · Proceedings of the 7th ACM international conference on Web search and data mining · doi:10.1145/2556195.2556220 · Cited by 164
Cheese
Mueller, F., & Thomaz, A. L. (2001) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/634067.634233 · Cited by 159
Post-adoption modeling of advanced mobile service use
Tojib, D., & Tsarenko, Y. (2011) · Journal of Business Research · doi:10.1016/j.jbusres.2011.05.006 · Cited by 156
No Such Effect? The Implications of Measurement Error in Self-Report Measures of Mobile Communication Use
Kobayashi, T., & Boase, J. (2012) · Communication Methods and Measures · doi:10.1080/19312458.2012.679243 · Cited by 155
Beyond dwell time
Guo, Q., & Agichtein, E. (2012) · International World Wide Web Conference (WWW) · doi:10.1145/2187836.2187914 · Cited by 154
Reading time, scrolling and interaction
Kelly, D., & Belkin, N. J. (2001) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/383952.384045 · Cited by 152
Think-aloud protocols
Olmsted-Hawala, E. L., Murphy, E., Hawala, S., & Ashenfelter, K. T. (2010) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753685 · Cited by 146
Mining the search trails of surfing crowds
Bilenko, M., & White, R. W. (2008) · International World Wide Web Conference (WWW) · doi:10.1145/1367497.1367505 · Cited by 146
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
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
A research agenda for physiological computing
Allanson, J., & Fairclough, S. H. (2004) · Interacting with Computers · doi:10.1016/j.intcom.2004.08.001 · Cited by 144
Thinking About Thinking Aloud: A Comparison of TwoVerbal Protocols for Usability Testing
Krahmer (2004) · IEEE Transactions on Professional Communication · doi:10.1109/tpc.2004.828205 · Cited by 141
Identifying task-based sessions in search engine query logs
Lucchese, C., Orlando, S., Perego, R., Silvestri, F., & Tolomei, G. (2011) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1935826.1935875 · Cited by 133
User engagement in online N ews: Under the scope of sentiment, interest, affect, and gaze
Arapakis, I., Lalmas, M., Cambazoglu, B. B., Marcos, M., & Jose, J. M. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23096 · Cited by 131
Self-citation
Understanding and facilitating the browsing of electronic text
Toms, E. G. (2000) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1999.0345 · Cited by 131
Towards better measurement of attention and satisfaction in mobile search
Lagun, D., Hsieh, C.-H., Webster, D. R., & Navalpakkam, V. (2014) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2600428.2609631 · Cited by 126
Investigating the Information-Seeking Processes of Adolescents
Branch, J. (2000) · Library & Information Science Research · doi:10.1016/s0740-8188(00)00051-7 · Cited by 124
A study on the effects of personalization and task information on implicit feedback performance
White, R. W., & Kelly, D. (2006) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1183614.1183659 · Cited by 123
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
Theory and models for creating engaging and immersive ecommerce Websites
Jennings, M. M. (2000) · ACM SIGCPR Conference on Computer Personnel Research (SIGCPR) · doi:10.1145/333334.333358 · Cited by 118
Predicting bounce rates in sponsored search advertisements
Sculley, D., Malkin, R. G., Basu, S., & Bayardo, R. J. (2009) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1557019.1557161 · Cited by 117
Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance
Song, Y., Ma, H., Wang, H., & Wang, K. (2013) · International World Wide Web Conference (WWW) · doi:10.1145/2488388.2488493 · Cited by 115
Understanding mobile web and mobile search use in today's dynamic mobile landscape
Church, K., & Oliver, N. (2011) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/2037373.2037385 · Cited by 110
Let’s Make Things Engaging
Overbeeke, K., Djajadiningrat, T., Hummels, C., Wensveen, S. S. A. G., & Prens, J. (2003) · Human-computer interaction series · doi:10.1007/1-4020-2967-5_2 · Cited by 107
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
Engagement in multimedia training systems
Chapman, P., Selvarajah, S., & Webster, J. (2003) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.1999.772808 · Cited by 104
Time perception as a workload measure in simulated car driving
Baldauf, D., Burgard, E., & Wittmann, M. (2009) · Applied Ergonomics · doi:10.1016/j.apergo.2009.01.004 · Cited by 103
Exploring mouse movements for inferring query intent
Guo, Q., & Agichtein, E. (2008) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1390334.1390462 · Cited by 100
Understanding the importance of location, time, and people in mobile local search behavior
Teevan, J. B., Karlson, A. K., Amini, S., Brush, A. J. B., & Krumm, J. C. (2011) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/2037373.2037386 · Cited by 99
Mixed‐methods approach to measuring user experience in online news interactions
O'Brien, H. L., & Lebow, M. (2013) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22871 · Cited by 95
Self-citation
Characterizing relevance with eye-tracking measures
Jacek Gwizdka, A. (2014) · Information Interaction in Context Symposium (IIiX) · doi:10.1145/2637002.2637011 · Cited by 94
Future Interaction Design
Pirhonen, A., Saariluoma, P. O., Roast, C., & Isomäki, H. (2005) · Springer eBooks · doi:10.1007/b138650 · Cited by 93
Studying Smartphone Usage: Lessons from a Four-Month Field Study
Rahmati, A., & Zhong, L. (2012) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2012.127 · Cited by 92
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
Absence time and user engagement
Dupret, G., & Lalmas, M. (2013) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2433396.2433418 · Cited by 87
Self-citation
Search, interrupted
Agichtein, E., White, R. W., Dumais, S., & Bennett, P. N. (2012) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2348283.2348328 · Cited by 87
Designing for User Engagment: Aesthetic and Attractive User Interfaces
Sutcliffe, A. (2009) · CERN Document Server (European Organization for Nuclear Research) · Cited by 86
Evaluating the effectiveness of and patterns of interactions with automated searching assistance
Jansen, B. J. J., & McNeese, M. D. (2005) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20242 · Cited by 82
Mouse tracking
Navalpakkam, V., & Churchill, E. F. (2012) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2207676.2208705 · Cited by 80
Weaving a Web of Trust
Golbeck, J. (2008) · Science · doi:10.1126/science.1163357 · Cited by 79
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
On saliency, affect and focused attention
McCay‐Peet, L., Lalmas, M., & Navalpakkam, V. (2012) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2207676.2207751 · Cited by 73
Self-citation
An engaging multimedia design model
Said, N. S. (2004) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/1017833.1017873 · Cited by 72
An empirical analysis of web page revisitation
McKenzie, B., & Cockburn, A. (2005) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2001.926533 · Cited by 72
Using web metrics to analyze digital libraries
Khoo, M. J., Pagano, J., Washington, A. L., Recker, M. M., Palmer, B., & Donahue, R. A. (2008) · ACM/IEEE Joint Conference on Digital Libraries · doi:10.1145/1378889.1378956 · Cited by 71
Mihaly Csikszentmihalyi. 2002. Fluir: A Psicologia da Experiência Óptima. Título original: Flow: The Psychology of Optimal Experience (1990). Nova Iorque: Harper Perennial. Tradução de Marta Amado. Lisboa: Relógio d’Água Editores
Pereira, M. J. D. C. (2002) · Interações: Sociedade e as novas modernidades · Cited by 70
Understanding Relevance: An fMRI Study
Moshfeghi, Y., Pinto, L. R., Pollick, F. E., & Jose, J. M. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-36973-5_2 · Cited by 67
Parallel browsing behavior on the web
Huang, J. J. S., & White, R. W. (2010) · ACM Conference on Hypertext and Social Media (HT) · doi:10.1145/1810617.1810622 · Cited by 66
User experience evaluation
Obrist, M., Roto, V., & Väänänen, K. (2009) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1520340.1520401 · Cited by 64
Understanding Within-Content Engagement through Pattern Analysis of Mouse Gestures
Arapakis, I., Lalmas, M., & Valkanas, G. (2014) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2661829.2661909 · Cited by 63
Self-citation
The Assessment of User Engagement with eHealth Content: The eHealth Engagement Scale1
Lefebvre, R. C., Tada, Y., Hilfiker, S. W., & Baur, C. (2010) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2009.01514.x · Cited by 62
Robust models of mouse movement on dynamic web search results pages
Díaz, F., White, R. W., Buscher, G., & Liebling, D. J. (2013) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2505515.2505717 · Cited by 62
On the control of visual fixation durations in free viewing of complex images
Pannasch, S., Schulz, J., & Velichkovsky, B. M. (2011) · Attention Perception & Psychophysics · doi:10.3758/s13414-011-0090-1 · Cited by 57
Questionnaire mode effects in interactive information retrieval experiments
Kelly, D., Harper, D. J., & Landau, B. J. (2007) · Information Processing & Management · doi:10.1016/j.ipm.2007.02.007 · Cited by 56
Content and Complexity
Vanderdonckt, J. M. (2014) · Routledge eBooks · doi:10.4324/9781410607409 · Cited by 54
On composition of a federated web search result page
Ponnuswami, A. K., Pattabiraman, K., Wu, Q., Gilad-Bachrach, R., & Kanungo, T. (2011) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1935826.1935922 · Cited by 53
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
Evaluation of a mobile information system in context
Göker, A., & Myrhaug, H. I. (2007) · Information Processing & Management · doi:10.1016/j.ipm.2007.03.011 · Cited by 52
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
Instrumenting the dynamic web
Edmonds, A., White, R. W., Morris, D., & Drucker, S. M. (2007) · Journal of Web Engineering · Cited by 49
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
3D attention
Paletta, L., Santner, K., Fritz, G., Mayer, H., & Schrammel, J. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2468393 · Cited by 49
An Investigation of Attention Allocation During Sequential Eye Movement Tasks
Fischer, M. H. (1999) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/713755838 · Cited by 45
What HCI designers can learn from video game designers
Pausch, R. F., Gold, R., Skelly, T., & Thiel, D. (1994) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/259963.260220 · Cited by 45
Eye tracking analysis of preferred reading regions on the screen
Buscher, G., Biedert, R., Heinesch, D., & Dengel, A. R. (2010) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1753846.1753976 · Cited by 45
A comparison of general vs personalised affective models for the prediction of topical relevance
Arapakis, I., Αθανασάκος, Κ., & Jose, J. M. (2010) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1835449.1835512 · Cited by 45
A human-centred perspective on interaction design
Bannon, L. J. (2005) · Springer eBooks · doi:10.1007/1-84628-089-3_3 · Cited by 44
Study of the usefulness of known and new implicit indicators and their optimal combination for accurate inference of users interests
Shapira, B., Taieb‐Maimon, M., & Moskowitz, A. (2006) · ACM Symposium on Applied Computing · doi:10.1145/1141277.1141542 · Cited by 44
Analyzing the browse patterns of mobile clients
Adya, A., Bahl, P., & Qiu, L. (2001) · ACM SIGCOMM Internet Measurement Workshop (IMW) · doi:10.1145/505202.505226 · Cited by 44
Predicting web search success with fine-grained interaction data
Guo, Q., Lagun, D., & Agichtein, E. (2012) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2396761.2398570 · Cited by 41
Attention and Selection in Online Choice Tasks
Navalpakkam, V., Kumar, R., Li, L., & Sivakumar, D. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31454-4_17 · Cited by 38
Characterizations of User Web Revisit Behavior
Herder, E. (2005) · University of Twente Research Information · Cited by 36
HCI International 2013 - Posters’ Extended Abstracts
Stephanidis, C. (2013) · Communications in computer and information science · doi:10.1007/978-3-642-39473-7 · Cited by 35
True to Life
Arcilla, R. V. (2012) · Cited by 34
Cult of Analytics: Driving online marketing strategies using web analytics
Jackson, S. (2009) · Routledge eBooks · doi:10.4324/9780080885179 · Cited by 31
Is there a universal instrument for measuring interactive information retrieval?
O'Brien, H. L., & Toms, E. G. (2010) · doi:10.1145/1840784.1840835 · Cited by 30
Self-citation
“It’s Just Easier with the Phone” – A Diary Study of Internet Access from Cell Phones
Nylander, S., Lundquist, T., Brännström, A., & Karlson, B. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01516-8_24 · Cited by 28
Human-Computer Interaction and Human Mental Workload: Assessing Cognitive Engagement in the World Wide Web
Longo, L. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23768-3_43 · Cited by 27
Online multitasking and user engagement
Lehmann, J., Lalmas, M., Dupret, G., & Baeza-Yates, R. A. (2013) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2505515.2505543 · Cited by 26
Self-citation
What happens after an ad click?
Becker, H., Broder, A., Gabrilovich, E., Josifovski, V., & Pang, B. (2009) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1645953.1645964 · Cited by 25
Theories, methods and case studies of longitudinal HCI research
Karapanos, E., Jain, J., & Hassenzahl, M. (2012) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2212776.2212706 · Cited by 24
Model for Voter Scoring and Best Answer Selection in Community Q&A Services
Lee, C. T., Rodrigues, E. M., Kazai, G., Milić-Frayling, N., & Ignjatović, A. (2009) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2009.23 · Cited by 24
Time on task.
van Gog, T. (2013) · Cited by 22
Multitasking bar
Wang, Q., & Chang, H. (2010) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753343 · Cited by 20
Trust Management on the World Wide Web.
Khare, R., & Rifkin, A. (1998) · First Monday · Cited by 20
Product features and task effects on experienced richness, control and engagement in voicemail browsing
Rozendaal, M. C., Keyson, D. V., & de Ridder, H. (2008) · Personal and Ubiquitous Computing · doi:10.1007/s00779-008-0201-8 · Cited by 20
Measuring user engagement attributes in social networking application
Banhawi, F., & Ali, N. M. (2011) · International Conference on Semantic Technology and Information Retrieval (STAIR) · doi:10.1109/stair.2011.5995805 · Cited by 19
How Does Mobile Context Affect People's Web Search Behavior?: A Diary Study of Mobile Information Needs and Search Behaviors
Komaki, D., Hara, T., & Nishio, S. (2012) · International Conference on Advanced Information Networking and Applications (AINA) · doi:10.1109/aina.2012.134 · Cited by 19
Measuring inter-site engagement
Yom‐Tov, E., Lalmas, M., Baeza-Yates, R. A., Dupret, G., Lehmann, J., & Dönmez, P. (2013) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata.2013.6691579 · Cited by 16
Self-citation
Mouse movement during relevance judging
Smucker, M. D., Guo, X., & Toulis, A. (2014) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/2600428.2609489 · Cited by 16
Effects of Social Approval Votes on Search Performance
Kazai, G., & Milić-Frayling, N. (2009) · International Conference on Information Technology: New Generations · doi:10.1109/itng.2009.281 · Cited by 15
Eye Gaze and Mouse Cursor Relationship in a Debugging Task
Chen, M., & Lim, V. (2013) · Communications in computer and information science · doi:10.1007/978-3-642-39473-7_93 · Cited by 14
Engagement networks in social music-making
Swift, B., Gardner, H., & Riddell, A. (2010) · Australian Conference on Computer-Human Interaction (OzCHI) · doi:10.1145/1952222.1952244 · Cited by 13
Networked user engagement
Lehmann, J., Lalmas, M., Baeza-Yates, R. A., & Yom‐Tov, E. (2013) · doi:10.1145/2512875.2512877 · Cited by 12
Self-citation
System-wide support for safety in pervasive spaces
Chen, C., & Helal, S. (2011) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-011-0078-7 · Cited by 11
Frictional widgets
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Authors: Lalmas, M., O’Brien, H., & Yom-Tov, E.
Affiliations: Yahoo (United States) (US)
ORCID: Lalmas, Mounia
Venue: Synthesis Lectures on Information Concepts, Retrieval, and Services
Publisher: Springer International Publishing
Published: 2015
ISSN: 1947-945X (ISSN-L)
1947-9468
DOI: 10.1007/978-3-031-02289-0
OpenAlex: W2090955639
Cited by: 192
References: 203
Citations by year: 2026: 7 · 2025: 17 · 2024: 34 · 2023: 14 · 2022: 15 · 2021: 18 · 2020: 13 · 2019: 22 · 2018: 21 · 2017: 13 · 2016: 13 · 2015: 5
FWCI: 5.19
Type: book
Language: en
Open access: green
hdl.handle.net
Licence: cc-by-nc-nd
www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Synthesis lectures on information concepts, retrieval, and services (publishedVersion)
CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
cIRcle (University of British Columbia) (submittedVersion, cc-by-nc-nd)
Topics: Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
Keywords: user engagement, user experience, web application, engagement measurement, user interaction

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