Reading Group Home

Meeting Time/Place:

Weekly meetings on Wednesdays, 3:30pm-4:30pm in room ICICS 304.


Next reading:
  • May 24, 2017 

Suggested Readings:

Past readings:
 Date Paper
 June 10, 2015Jianlong Zhou, Jinjun Sun, Fang Chen, Yang Wang, Ronnie Taib, Ahmad Khawaji, and Zhidong Li. 2015. Measurable Decision Making with GSR and Pupillary Analysis for Intelligent User Interface. ACM Trans. Comput.-Hum. Interact. 21, 6, Article 33 (January 2015), 23 pages. DOI=10.1145/2687924 http://doi.acm.org/10.1145/2687924
 May 27, 2015Stylianos Asteriadis, Paraskevi Tzouveli, Kostas Karpouzis, and Stefanos Kollias. 2009. Estimation of behavioral user state based on eye gaze and head pose--application in an e-learning environment. Multimedia Tools Appl. 41, 3 (February 2009), 469-493. (link).
 May 20, 2015Dorota Glowacka, Tuukka Ruotsalo, Ksenia Konuyshkova, kumaripaba Athukorala, Samuel Kaski, and Giulio Jacucci. 2013. Directing exploratory search: reinforcement learning from user interactions with keywords. In Proceedings of the 2013 international conference on Intelligent user interfaces (IUI '13). ACM, New York, NY, USA, 117-128. (link).
 May 13, 2015Oswald Barral, Manuel J.A. Eugster, Tuukka Ruotsalo, Michiel M. Spapé, Ilkka Kosunen, Niklas Ravaja, Samuel Kaski, and Giulio Jacucci. 2015. Exploring Peripheral Physiology as a Predictor of Perceived Relevance in Information Retrieval. In Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI '15). ACM, New York, NY, USA, 389-399. (link).
 May 6, 2015Matthew Kay, Shwetak N. Patel, and Julie A. Kientz. 2015. How Good is 85%?: A Survey Tool to Connect Classifier Evaluation to Acceptability of Accuracy. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 347-356. (link).
 April 29, 2015Takumi Toyama, Daniel Sonntag, Jason Orlosky, and Kiyoshi Kiyokawa. 2015. Attention Engagement and Cognitive State Analysis for Augmented Reality Text Display Functions. InProceedings of the 20th International Conference on Intelligent User Interfaces (IUI '15). ACM, New York, NY, USA, 322-332. (link). 
 April 23, 2015Nigel Bosch, Sidney D'Mello, Ryan Baker, Jaclyn Ocumpaugh, Valerie Shute, Matthew Ventura, Lubin Wang, and Weinan Zhao. 2015. Automatic Detection of Learning-Centered Affective States in the Wild. In Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI '15). ACM, New York, NY, USA, 379-388. (link). 
 April 16, 2015D'antoni, L., Kini, D., Alur, R., Gulwani, S., Viswanathan, M., & Hartmann, B. (2015). How Can Automatic Feedback Help Students Construct Automata?. ACM Transactions on Computer-Human Interaction (TOCHI),22(2), 9. (link, 22 pages)
 April 9, 2015Samad's CHI dry run
 April 2, 2015Samad's CHI dry run
 March 19, 2015Ahn, Brusilovsky, and Han. Personalized Search: Reconsidering the Value of Open User Models. IUI 2015. (link)
 March 12, 2015
Jorritsma, Cnossen, and Ooijen. Adaptive Support for user interface customization: A study in radiology. International Journal of Human-Computer Studies, 2015 (link)
 March 5, 2015Mandel, T., Liu, Y. E., Levine, S., Brunskill, E., & Popovic, Z. (2014, May). Offline policy evaluation across representations with applications to educational games. In Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems (pp. 1077-1084). International Foundation for Autonomous Agents and Multiagent Systems. (link)
 November 28, 2014Zheng Lu, Xiaokang Yang, Weiyao Lin, Hongyuan Zha, and Xiaolin Chen. Inferring User Image-Search Goals Under the Implicit Guidance of Users. Circuits and Systems for Video Technology, 2014. (IEEE link, 13 pages).
 November 21Ottley, A., Crouser, R. J., Ziemkiewicz, C., & Chang, R. (2013). Manipulating and controlling for personality effects on visualization tasks. Information Visualization 2013. (link).
 November 14Jeremy Boy, Ronald Rensink, Enrico Bertini, Jean-Daniel Fekete. A Principled Way of Assessing Visualization Literacy. IEEE VIS 2014. (link)
 November 7Jang, Mallipeddi, and Lee. Identification of human implicit visual search intention based on eye movements and pupillary analysis. UMUAI 2013. (Springer link).
 October 31K. Veeramachaneni, U.M. O'Reilly, C. Taylor. Towards Feature Engineering at Scale for Data from Massive Open Online Courses. (Computers and Society 2014). (link)
 October 24E.T. Brown, A. Ottley, H. Zhao, Q. Lin, R. Souvenir, A. Endert, R. Chang. Finding Waldo: Learning about Users from their Interactions. (IEEE Transactions on Visualization and Computer Graphics 2014). (IEEE link)
 October 10Dereck's CHI submission
 October 3Samad's CHI submission
 September 26F. Dorça, L. Lima, M Fernandes, C. Lopes. Automatic student modeling in adaptive educational systems through probabilistic learning style combinations: a qualitative comparison between two innovative stochastic approaches. Journal of the Brazilian Computer Society 2012. (Springer Link)
 September 19Tanenbaum et al. A case study of intended versus actual experience of adaptivity in a tangible storytelling system. UMUAI 2014. (Springer Link)
 September 3
Sahebi, Yu-Ru Lin and Peter Brusilovsky. The problem solving genome: Analyzing sequential patterns of student work with parameterized exercises. EDM 2014, pages 153-160. (pdf)
 August 27
Bixler, R. & D'Mello, S. 2014. Toward fully-automated person-independent detection of mind wandering. (UMAP '14).  (Springer Link)
 August 19
R Bixler, K Kopp, S D'Mello. 2014. Evaluation of a personalized method for proactive mind wandering reduction. Personalization Approaches in Learning Environments (Workshop). (pdf)
 July 29
M Okoe, SS Alam, R Jianu. A gaze-enabled graph visualization to improve graph reading tasks. Computer Graphics Forum, 2014. (Wiley Online Library)
 June 24
S Wetzel, K Spiel, S Bertel. Dynamically adapting an AI game engine based on players' eye movements and strategies, SIGCHI, 2014. (ACM Link)
 June 17
Kyriaki Kalimeri, Bruno Lepri, and Fabio Pianesi. 2013. Going beyond traits: multimodal classification of personality states in the wild. In Proceedings of the 15th ACM on International conference on multimodal interaction (ICMI '13). (pdf)
 June 10
Shin, C; Hong, J-H; Dey, A. K. Understanding and prediction of mobile application usage for smart phones. UbiComp '12. http://dl.acm.org/citation.cfm?id=2370243
 June 3
Nicosia, Oulasvirta, and Kristensson, Modeling the Perception of User Performance, CHI Session: User Models and Prediction (CHI 2014, page 1747).
 May 7
Kong, Hearst, & Angrawala (2014). Extracting References Between Text and Charts via Crowdsourcing (http://vis.berkeley.edu/papers/textref/)
 April 30
How Capacity Limits of Attention Influence Information Visualization Effectiveness, Steve Haroz, David Whitney, Infovis 2012. (pdf)
 April 16
Cowley, Ben, Charles, Darryl, Black, Michaela, and Hickey, Ray Real-time rule-based classification of player types in computer games User Modeling and User-Adapted Interaction 2012 (38 pages)
 April 10
User-oriented document summarization through vision-based eye-tracking (10 pages, pdf)
 April 2
Sébastien's talk about his PhD work.

Lallé, S., Mostow, J., Luengo, V., & Guin, N. (2013). Comparing Student Models in Different Formalisms by Predicting their Impact on Help Success. In Proceedings of the 16th International Conference on Artificial Intelligence in Education, Memphis, TN, Springer-Verlag:  161-170. (pdf)
 March 26
Martinez-Gomez, P. & Aizawa, A. Recognition of Understanding Level and Language Skill Using Measurements of Reading Behaviour, IUI'14, pp.95-104. [Eye-tracking for User Modeling]
 March 19
Perer, A. & Wang, F. Frequence: Interactive Mining and Visualization of Temporal Frequent Event Sequences, IUI'14, pp. 153-162.
 March 12
Wang, F.; Li, Y.; Sakamoto, D.; & Igarashi, T. Hierarchical Route Maps for Efficient Navigation, IUI'14, pp. 169-178. [Best Paper Winner]
 March 5
Dereck presented work on classifying player type in social games from players' music preferences.
 Feb 19, 2014
Toker, D.; Steichen, B.; Gingerich, M; Conati, C; Carenini, G. Towards Facilitating User Skill Acquisition - Identifying Untrained Visualization Users through Eye Tracking, IUI 2014. [pdf] (10 pages) <IUI 2014 presentation dry run>
 Nov 28, 2013
David Thue, Vadim Bulitko,Marcia Spetch, and Trevon Romanuik A Computational Model of Perceived Agency in Video Games AAAI- 2011 (6 pages)
 Nov 21
J Sabourin, J Lseter, Affect and Engagement in Game-Based Learning Environments, Affective Computing, IEEE Transactions on (Volume:PP, Issue: 99 )
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6645369&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A5520654%29
 Nov 14
Rokach, Lior. “Ensemble-based Classifiers.” Artificial Intelligence Review 33, no. 1 (2010): 1–39. doi:10.1007/s10462-009-9124-7.
http://link.springer.com/article/10.1007%2Fs10462-009-9124-7
 Oct 31
Guyon, Isabelle, and André Elisseeff. “An Introduction to Variable and Feature Selection.” Journal of Machine Learning Research 3 (March 2003): 1157–1182. machinelearning.wustl.edu/mlpapers/paper_files/GuyonE03.pdf
 Oct 24
Jianqiang Shen, Oliver Brdiczka, Nicolas Ducheneaut, Nicholas Yee, and Bo Begole, Inferring Personality of Online Gamers by Fusing Multiple-View Predictions
http://www.parc.com/content/attachments/inferring-personality-online-gamers.pdf
 Oct 10 and 17
Feature selection discussion
 Oct 3
Jae-wook Ahn, Peter Brusilovsky, Adaptive visualization for exploratory information retrieval, Information Processing and Management (2013), http://dx.doi.org/10.1016/j.ipm.2013.01.007 [26 pages (lots of figures)].
 Sept 26
 WINNE, PHILIP H., and RYAN SJD BAKER. "The Potentials of Educational Data Mining for Researching Metacognition, Motivation and Self-Regulated Learning." Journal of Educational Data Mining/ 5.1 (2013).(8 pages)
http://www.educationaldatamining.org/JEDM/index.php/JEDM/article/view/28/18
 August 22
 Janez Demšar, Statistical Comparisons of Classifiers over Multiple Data Sets, Journal of Machine Learning Research (2006).
http://machinelearning.wustl.edu/mlpapers/paper_files/Demsar06.pdf
 August 16
 Mohammad H. Falakmasir, Zachary A. Pardos, Geoffrey J. Gordon, and Peter Brusilovsky,
A Spectral Learning Approach to Knowledge Tracing
 http://www.educationaldatamining.org/EDM2013/papers/rn_paper_07.pdf
 August 8
 JF Grafsgaard , JB Wiggins, KE Boyer , EN Wiebe, J Lester,
Automatically Recognizing Facial Expression: Predicting Engagement and Frustration
http://www.educationaldatamining.org/EDM2013/papers/rn_paper_09.pdf
 July 25
 Assessment of Computer-Supported Collaborative Processes using Interpersonal Physiological and Eye- Movement Coupling
 July 18
 Exploring personality-targeted UI design in online social participation systems.
http://dl.acm.org/citation.cfm?id=2470707
 July 4
 Alvitta Ottley, Evan M Peck, Lane Harrison, and Remco Chang. The adaptive user: Priming to improve interaction.

Daniel Afergan, Evan M Peck, Remco Chang, Robert Jacob. Using passive input to adapt visualization systems to the individual
 June 27
 Jianqiang Shen, Oliver Brdiczka, Juan Liu. Understanding Email Writers: Personality Prediction from Email Messages
 June 20
 Daria's dry-run
 June 5
 Melih Kandemir,  Akos Vetek, Mehmet Gonen, Arto Klami, and Samuel Kaski. Multi-task and multi-view learning of user state
 May 29
  Scott Bateman, Jaime Teevan, and Ryen W. White. 2012. The search dashboard: how reflection and comparison impact search behavior. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). ACM, New York, NY, USA, 1785-1794. DOI=10.1145/2207676.2208311 http://doi.acm.org/10.1145/2207676.2208311
 May 22
 Weihong Wang, Zhidong Li, Yang Wang, and Fang Chen (2013).

Indexing cognitive workload based on pupillary response under luminance and emotional changes.
In Proceedings of the 2013 international conference on Intelligent user interfaces (IUI '13).
ACM, New York, NY, USA, 247-256. DOI=10.1145/2449396.2449428
 April 10
 Chen S., Epps J., Chen F., Automatic and Continuous User Task Analysis via Eye Activity.
IUI 2013 (10 pages)
 April 3
 Andrienko, Gennady, et al. "Visual Analytics Methodology for Eye Movement Studies."
Visualization and Computer Graphics, IEEE Transactions on 18.12(2012): 2889-2898.
 March 27
Lee, Y. J., Palazzo, D. J., Warnakulasooriya, R., & Pritchard, D. E. (2008). Measuring student learning with item response theory. Physical Review Special Topics-Physics Education Research, 4(1), 010102 [pdf].
 March 13
  Ilya Goldin, Kenneth Koedinger and Vincent Aleven, Learner Differences in Hint Processing, EDM 2012 [pdf] (8 pages). <Suggested by Samad>
 March 6
 J. S. Kinnebrew, K. M. Loretz, and G. Biswas. A contextualized, .differential sequence mining method to derive students' learning behavior patterns. Journal of Educational Data Mining, 2012.
http://www.teachableagents.org/papers/2012/Kinnebrew_JEDM.pdf
(25 pages)
 Feb 27
 John Kinnebrew and Gautam Biswas, Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution, EDM 2012. <Suggested by Samad>[pdf] (8 pages)
 Feb 20
 Sidney K. D'Mello, Andrew Olney, Claire Williams, Patrick Hays: Gaze tutor: A gaze-reactive intelligent tutoring system. Int. J. Hum.-Comput. Stud. 70(5): 377-398 (2012)(Suggested by Cristina - 22 pages) <Suggested by Cristina>
 Feb 13
 Bradford Mott, Sunyoung Lee, and James Lester, Probabilistic Goal Recognition in Interactive Narrative Environments, AAAI 2006

and a more detailed version of the paper we had for last week:

Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, James C. Lester
Goal Recognition with Markov Logic Networks for Player-Adaptive Games, AIIDE 2011
 Feb 6, 2013
 Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, James C. Lester
Goal Recognition with Markov Logic Networks for Player-Adaptive Games. http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/view/5009
 Dec 5, 2012
 Brian P. Bailey and Shamsi T. Iqbal. 2008. Understanding changes in mental workload during execution of goal-directed tasks and its application for interruption management. ACM Trans. Comput.-Hum. Interact. 14, 4, Article 21 (January 2008), 28 pages.
 Nov 27
 Peck E., Yuksel B., Harrison L., Ottley A., Chang R. ICD3: Towards a 3-Dimensional Model of Individual Cognitive Differences. BELIV 2012.
 Nov 20
 Gowda, S., Pardos, Z., Baker, R.S.J.d. (2012) Content Learning Analysis Using the Moment-By-Moment Learning Detector. Proceedings of the International Conference on Intelligent Tutoring Systems, 434-443.
 Nov 13
Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Albert T. Corbett, Jaclyn Ocumpaugh
 Nov 6
 Kim, Sung-Hee, et al. Does an Eye Tracker Tell the Truth about Visualizations?: Findings while Investigating Visualizations for Decision Making. Visualization and Computer Graphics, IEEE Transactions on 18.12 (2012): 2421-2430.

Do Your Eyes Give It Away? Using Eye Tracking Data to Understand Students' Attitudes towards Open Student Model Representations. 422-427 http://www.springerlink.com/content/6t47g3l65482n153/
 Oct 25
 Ismael Pascual-Nieto, Olga C. Santos, Diana Pérez-Marín, and Jesus
Boticario Extending Computer Assisted Assessment Systems with NaturalLanguage Processing, User Modeling, and Recommendations Based on Human Computer Interaction and Data Mining. In proceedings of the IJCAI/AAAI, 2011, 2519-2524


Olga C. Santos, Jesus Boticario. Requirements for Semantic EducationalRecommender Systems in Formal E-Learning Scenarios. Algorithms 4(2) 131-154, 2011.
 Oct 18
 MAMIPEC - Affective Modeling in Inclusive Personalized Educational Scenarios
Olga C. Santos, Jesus G. Boticario, et al.   Not Yet Published, 2012.

Content-free collaborative learning modeling using data mining User Modeling and User-Adapted Interaction archive Volume 21 Issue 1-2, April 2011 Pages 181-216
 Oct 4
 Matt Dennis, Judith Masthoff, Chris Mellish Towards a model of personality, affective state, feedback and learner motivation PALE 2012
Evandro Costa, Priscylla Silva, Jonathas Magalhães, Marlos Silva An open and inspectable learner modeling with a negotiation mechanism  
to solve cognitive conflicts in an intelligent tutoring system PALE 2012
 Sept 27
 The Impact on Individualizing Student Models on Necessary Practice Opportunities Nominee for Best Paper Award, Jung In Lee and Emma Brunskill. Pages 118-125
 Sept 20
 D. Rai, Y. Gong, and N. Heffernan. Using multiple Dirichlet distributions to improve model parameter plausibility. In EDM, 2010.
 Sept 13
 Modeling multiple distributions of student performances to improve predictive accuracy. Yue Gong, Joseph Beck, and Carolina Ruiz.
 Aug 22
Adapting Performance Feedback to a Learner's Conscientiousness (short paper)
Matt Dennis, Judith Masthoff, and Chris Mellish
Using Touch as a Predictor of Effort: What the iPad Can Tell Us about User Affective State (short paper)
David H. Shanabrook, Ivon Arroyo, and Beverly Park Woolf
(see UMAP proceedings)
 Aug 15
Improving Construct Validity Yields Better Models of Systematic Inquiry, Even with Less Information
Michael A. Sao Pedro, Ryan S.J.d. Baker, and Janice D. Gobert
(see UMAP proceedings)
 Aug 8
EEG estimates of engagement and cognitive workload predict math  problem solving outcomes 
Federico Cirett Galán and Carole R. Beal
(see UMAP proceedings)
 July 3
 Antti Ajanki, David R. Hardoon, Samuel Kaski, Kai Puolamäki, and John Shawe-Taylor. 2009. Can eyes reveal interest? Implicit queries from gaze patterns. User Modeling and User-Adapted Interaction 19, 4 (October 2009), 307-339.
  • Generating information retrieval queries based on a user's eye gaze (i.e. users looking at/transitioning to certain words on a current page
  • Showing that eye gaze can indeed generate such queries and that it is a good method for providing implicit relevance feedback
  • Interesting new set of features (e.g. time to first fixation on certain word)
  • Not considering temporal user interest (e.g. what if interest changes with growing knowledge)
  • Text retrieval in general a bit basic as a task, ignoring any other graphics, images, etc. on websites
  • No adjustments in statistical analysis
 June 26
 Beate Grawemeyer. 2006. Evaluation of ERST – an external representation selection tutor. In Proceedings of the 4th international conference on Diagrammatic Representation and Inference (Diagrams'06), Dave Barker-Plummer, Richard Cox, and Nik Swoboda (Eds.). Springer-Verlag, Berlin, Heidelberg, 154-167.
  • Recommending different visualizations based on selection latency and answer accuracy
  • Using Bayesian Network for user modelling
  • Adaptive version leads to better user performance
  • No statistical analysis of results though
 June 21, 2012
 Caroline Ziemkiewicz, Steven Gomez, and David Laidlaw. 2012. Analysis within and between graphs: observed user strategies in immunobiology visualization. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems (CHI '12). ACM, New York, NY, USA, 1655-1658.
  • Study in immunology domain: 4 domain experts (postdocs) undertaking day-to-day task using visualization tool
  • Found that users had 2 different strategies in using the tool
  • Strategies were: between graph (i.e. constantly switching between graphs) or within graph (i.e. using multiple graphs on one screen to compare)
  • Argue that we should look beyond full task related metrics and look at how we can best support individual strategies
  • E.g. for within graph, we could have multiple coordinated graphs to enhance this strategy
  • However, no advice is given on how adaptivity could help, i.e. suggestions are merely (static) feature enhancements
  • We discussed that main contribution is to look at supporting individual strategies
  • This could also be applied in ATUAV, since Mona et al had already identified different strategies for solving tasks using graphs.
  • However, we would need more complex tasks to discover/adapt to such differences
 Dec 8, 2011
 Shamsi T. Iqbal, Piotr D. Adamczyk, Xianjun Sam Zheng, and Brian P. Bailey. 2005. Towards an index of opportunity: understanding changes in mental workload during task execution. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI '05). ACM, New York, NY, USA, 311-320.
 Nov 17
 Thomas Grindinger, Andrew T. Duchowski, and Michael Sawyer. 2010. Group-wise similarity and classification of aggregate scanpaths. In Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications (ETRA '10). ACM, New York, NY, USA, 101-104.  AND
 Oskar Palinko, Andrew L. Kun, Alexander Shyrokov, and Peter Heeman. 2010. Estimating cognitive load using remote eye tracking in a driving simulator. In Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications (ETRA '10). ACM, New York, NY, USA, 141-144.
 Nov 10
 Saul Greenberg , Bill Buxton, Usability evaluation considered harmful (some of the time), Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, April 05-10, 2008, Florence, Italy
 Nov 3
 Matt Canham, Mary Hegarty, Effects of knowledge and display design on comprehension of complex graphics.Learning and Instruction, Volume 20, Issue 2, April 2010, Pages 155-166,ISSN 0959-4752, 10.1016/j.learninstruc.2009.02.014.
 Oct 20
 CHRISTOF KORNER, Eye Movements Reveal Distinct Search and Reasoning Processes in Comprehension of Complex Graphs.  Applied Cognitive Psychology, Appl. Cognit. Psychol. (2010), DOI: 10.1002/acp.1766
 Oct 13
 James Fogarty, Andrew J. Ko, Htet Htet Aung, Elspeth Golden, Karen P. Tang, and Scott E. Hudson. 2005. Examining task engagement in sensor-based statistical models of human interruptibility.
In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI '05). ACM, New York, NY, USA, 331-340.
 Oct 6
 Jennifer Gluck, Andrea Bunt, and Joanna McGrenere. 2007. Matching attentional draw with utility in interruption. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI '07). ACM, New York, NY, USA, 41-50.
 Sept 29
 Effect of Intelligent Notification Management on Users and their tasks, Shamsi and Iqbal, CHI 2008.
http://dl.acm.org/citation.cfm?id=1357070
 Sept 1
 Chen, L., & Pu, P. (2010). Eye-Tracking Study of User Behavior in Recommender Interfaces. In P. Bra, A. Kobsa, & D. Chin (Eds.), User Modeling, Adaptation, and Personalization (Vol. 6075, pp. 375-380). Berlin, Heidelberg: Springer Berlin Heidelberg. Retrieved from http://www.springerlink.com/content/h3148073g4442402/
 Aug 25
 Shih, B., Kenneth R. Koedinger, and Richard Scheines. "A Response Time Model For Bottom-Out Hints as Worked Examples." In Proceedings of the 1st International Conference on Educational Data Mining, 2008, p. 117-126.
 Aug 18
 Prendinger, H., Hyrskykari, A., Nakayama, M., Istance, H., Bee, N., & Takahasi, Y. (2009).
Attentive interfaces for users with disabilities: eye gaze for intention and uncertainty estimation.
Universal Access in the Information Society, 8(4), 339-354. doi:10.1007/s10209-009-0144-5
 Aug 11
 Kaptein, M. C., Nass, C., & Markopoulos, P. (2010).
Powerful and consistent analysis of likert-type ratingscales. *Proceedings of the 28th international conference on Human factors in computing systems - CHI ’10* (p. 2391). New York, New York, USA: ACM Press.
http://portal.acm.org/citation.cfm?id=1753686
 Aug 4
 John R. Anderson, Dan Bothell, and Scott Douglass. Eye Movements Do Not Reflect Retrieval Processes: Limits of the Eye-Mind Hypothesis Psychological Science, April 2004 15: 225-231.
http://act-r.psy.cmu.edu/papers/505/eyefan.pdf
 July 28
 Tomasz D. Loboda and Peter Brusilovsky. 2010. User-adaptive explanatory program visualization: evaluation and insights from eye movements. User Modeling and User-Adapted Interaction/  20, 3 (August 2010), 191-226.
http://www.springerlink.com/content/c627n271046671m1/fulltext.pdf
 July 21
Kaller, Christoph P., Rahm, Benjamin, Bolkenius, Kristina, Unterrainer, Josef M., Eye movements and visuospatial problem solving: Identifying separable phases of complex cognition. Psychophysiology VoL 46-4.
http://onlinelibrary.wiley.com/doi/10.1111/j.1469-8986.2009.00821.x/pdf

 July 14
 Francois Courtemanche, Esma Aimeur, Aude Dufresne, Mehdi Najjar, Franck Mpondo, Activity recognition using eye-gaze movements and traditional interactions, Interacting with Computers, Volume 23, Issue 3, May 2011, Pages 202-213.
http://www.sciencedirect.com/science/article/pii/S0953543811000166
 July 7
 Joseph Goldberg and Jonathan Helfman
Eye tracking for visualization evaluation: Reading values on linear versus radial graphs. Information Visualization July 18, 2011. http://ivi.sagepub.com/content/early/2011/07/15/1473871611406623.abstract
 June 30
 Yan Liu, Pei-Yun Hsueh, Jennifer Lai, Mirweis Sangin, Marc-Antoine Nussli, and Pierre Dillenbourg. 2009.
Who is the expert? analyzing gaze data to predict expertise level in collaborative applications.
In Proceedings of the 2009 IEEE international conference on Multimedia and Expo (ICME'09). IEEE Press, Piscataway, NJ, USA, 898-901. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5202640

Jaana Simola, Jarkko Salojarvi, Ilpo Kojo, Using hidden Markov model to uncover processing states from eye movements in information search tasks, Cognitive Systems Research, Volume 9, Issue 4, October 2008, Pages 237-251, ISSN 1389-0417, DOI: 10.1016/j.cogsys.2008.01.002. http://www.sciencedirect.com/science/article/pii/S1389041708000132
 June 16
 Eivazi, S., Bednarik, R.: Predicting Problem-Solving Behavior andPerformance Levels from Visual Attention Data In the proceedings of 2nd
Workshop on Eye Gaze in Intelligent Human Machine Interaction at IUI 2011, pp 9-16, 2011.
 June 9
 Joseph H. Goldberg and Jonathan I. Helfman. 2010. Scanpath clustering and aggregation. In Proceedings of the 2010 Symposium on Eye-Tracking Research
& Applications (ETRA '10). ACM, New York, NY, USA, 227-234. DOI=10.1145/1743666.174372
 June 2
 Effie Lai-Chong Law, Elke E. Mattheiss, Michael D. Kickmeier-Rust, and Dietrich Albert. 2010. Vicarious learning with a digital educational game: eye-tracking and survey-based evaluation approaches. In Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering (USAB'10), Gerhard Leitner, Martin Hitz, and Andreas Holzinger (Eds.). Springer-Verlag, Berlin, Heidelberg, 471-488.
 May 26, 2011
 Conor Linehan, Ben Kirman, Shaun Lawson, and Gail Chan. 2011. Practical, appropriate, empirically-validated guidelines for designing educational games. In Proceedings of the 2011 annual conference on Human factors in computing systems (CHI '11). ACM, New York, NY, USA, 1979-1988. DOI=10.1145/1978942.1979229 http://doi.acm.org/10.1145/1978942.1979229

Other resources
  1. UMUAI Special Issue on Data Mining for Personalization
  2. International Journal of Social Robotics 

  3. IEEE Transactions on Learning Technologies (Special Issue on Personalization)