{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:12:05Z","timestamp":1750306325449,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,5,7]],"date-time":"2016-05-07T00:00:00Z","timestamp":1462579200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,5,7]]},"DOI":"10.1145\/2851581.2892496","type":"proceedings-article","created":{"date-parts":[[2016,5,6]],"date-time":"2016-05-06T19:56:09Z","timestamp":1462564569000},"page":"1698-1705","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Toward Real-time Brain Sensing for Learning Assessment"],"prefix":"10.1145","author":[{"given":"Shelby","family":"Keating","sequence":"first","affiliation":[{"name":"Drexel University, Philadelphia, PA, USA"}]},{"given":"Erin","family":"Walker","sequence":"additional","affiliation":[{"name":"Arizona State University, Phoenix, AZ, USA"}]},{"given":"Anil","family":"Motupali","sequence":"additional","affiliation":[{"name":"Arizona State University, Phoenix, AZ, USA"}]},{"given":"Erin","family":"Solovey","sequence":"additional","affiliation":[{"name":"Drexel University, Philadelphia, PA, USA"}]}],"member":"320","published-online":{"date-parts":[[2016,5,7]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3758\/s13415-010-0011-0"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1037\/1076-898X.14.2.101"},{"key":"e_1_3_2_1_3_1","first-page":"17","volume-title":"AIED (Vol. 200","author":"Arroyo I.","unstructured":"Arroyo , I. , Cooper , D. G. , Burleson , W. , Woolf , B. P. , Muldner , K. , & Christopherson , R. (2009, July ). Emotion Sensors Go To School . In AIED (Vol. 200 , pp. 17 -- 24 ). Arroyo, I., Cooper, D. G., Burleson, W., Woolf, B. P., Muldner, K., & Christopherson, R. (2009, July). Emotion Sensors Go To School. In AIED (Vol. 200, pp. 17--24)."},{"key":"e_1_3_2_1_4_1","volume-title":"Educational Data Mining","author":"Arroyo I.","year":"2010","unstructured":"Arroyo , I. , Mehranian , H. , & Woolf , B. P. ( 2010 ). Effort-based tutoring: An empirical approach to intelligent tutoring . In Educational Data Mining 2010. Arroyo, I., Mehranian, H., & Woolf, B. P. (2010). Effort-based tutoring: An empirical approach to intelligent tutoring. In Educational Data Mining 2010."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1240624.1240785"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30139-4_50"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2009.12.003"},{"key":"e_1_3_2_1_8_1","volume-title":"Educational Data Mining","author":"Baker R. S.","year":"2010","unstructured":"Baker , R. S. , Gowda , S. , & Corbett , A. ( 2010 ). Automatically detecting a student's preparation for future learning: Help use is key . In Educational Data Mining 2011. Baker, R. S., Gowda, S., & Corbett, A. (2010). Automatically detecting a student's preparation for future learning: Help use is key. In Educational Data Mining 2011."},{"volume-title":"Artificial Intelligence in Education (pp. 2330)","author":"Baker R. S.","key":"e_1_3_2_1_9_1","unstructured":"Baker , R. S. , Gowda , S. M. , & Corbett , A. T. (2011, January ). Towards predicting future transfer of learning . In Artificial Intelligence in Education (pp. 2330) . Springer Berlin Heidelberg . Baker, R. S., Gowda, S. M., & Corbett, A. T. (2011, January). Towards predicting future transfer of learning. In Artificial Intelligence in Education (pp. 2330). Springer Berlin Heidelberg."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-30950-2_57"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the ITS2004 Workshop on Social and Emotional Intelligence in Learning Environments (pp. 13--20)","author":"Beck J. E.","year":"2004","unstructured":"Beck , J. E. ( 2004 ). Using response times to model student disengagement . In Proceedings of the ITS2004 Workshop on Social and Emotional Intelligence in Learning Environments (pp. 13--20) . Beck, J. E. (2004). Using response times to model student disengagement. In Proceedings of the ITS2004 Workshop on Social and Emotional Intelligence in Learning Environments (pp. 13--20)."},{"key":"e_1_3_2_1_12_1","volume-title":"Educational Data Mining","author":"Beck J.","year":"2012","unstructured":"Beck , J. & Want , Y. ( 2012 ). Incorporating Factors Influencing Knowledge Retention into a Student Model . In Educational Data Mining 2012. Beck, J. & Want, Y. (2012). Incorporating Factors Influencing Knowledge Retention into a Student Model. In Educational Data Mining 2012."},{"volume-title":"Intelligent Tutoring Systems (pp. 55--60)","author":"Blanchard N.","key":"e_1_3_2_1_13_1","unstructured":"Blanchard , N. , Bixler , R. , Joyce , T. , & D'Mello , S. (2014, January ). Automated Physiological-Based Detection of Mind Wandering during Learning . In Intelligent Tutoring Systems (pp. 55--60) . Springer International Publishing . Blanchard, N., Bixler, R., Joyce, T., & D'Mello, S. (2014, January). Automated Physiological-Based Detection of Mind Wandering during Learning. In Intelligent Tutoring Systems (pp. 55--60). Springer International Publishing."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/11774303_17"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/11774303_17"},{"key":"e_1_3_2_1_16_1","first-page":"2448","volume-title":"Influence of Dominant Electrical Brainwaves on Learning Performance. In World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (Vol.","author":"Chaouachi M.","year":"2009","unstructured":"Chaouachi , M. , Heraz , A. , Jraidi , I. , & Frasson , C. ( 2009 ). Influence of Dominant Electrical Brainwaves on Learning Performance. In World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (Vol. 2009, No. 1, pp. 2448 -- 2454 ). Chaouachi, M., Heraz, A., Jraidi, I., & Frasson, C. (2009). Influence of Dominant Electrical Brainwaves on Learning Performance. In World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (Vol. 2009, No. 1, pp. 2448--2454)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2007.04.010"},{"key":"e_1_3_2_1_18_1","volume-title":"User Modeling, Adaptation, and Personalization (pp. 37--48)","author":"D'Mello S.","year":"2014","unstructured":"D'Mello , S. & Bixler , R. ( 2014 ). Toward Fully Automated Person-Independent Detection of Mind Wandering . In User Modeling, Adaptation, and Personalization (pp. 37--48) . Springer International Publishing . D'Mello, S. & Bixler, R. (2014). Toward Fully Automated Person-Independent Detection of Mind Wandering. In User Modeling, Adaptation, and Personalization (pp. 37--48). Springer International Publishing."},{"key":"e_1_3_2_1_19_1","volume-title":"Artificial Intelligence in Education (pp. 431--440)","author":"Gong Y.","year":"2013","unstructured":"Gong , Y. & Beck , J. E. ( 2013 ). Wheel-spinning: Students who fail to master a skill . In Artificial Intelligence in Education (pp. 431--440) . Springer Berlin Heidelberg . Gong, Y. & Beck, J. E. (2013). Wheel-spinning: Students who fail to master a skill. In Artificial Intelligence in Education (pp. 431--440). Springer Berlin Heidelberg."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40593-013-0006-4"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/11774303_38"},{"key":"e_1_3_2_1_22_1","volume-title":"AIED (pp. 49--56).","author":"Heraz A.","year":"2009","unstructured":"Heraz , A. , & Frasson , C. ( 2009 ). Predicting Learner Answers Correctness through Brainwaves Assesment and Emotional Dimensions . In AIED (pp. 49--56). Heraz, A., & Frasson, C. (2009). Predicting Learner Answers Correctness through Brainwaves Assesment and Emotional Dimensions. In AIED (pp. 49--56)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.14-06-03775.1994"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40593-014-0024-x"},{"key":"e_1_3_2_1_25_1","volume-title":"Educational Data Mining","author":"Hershkovitz A.","year":"2008","unstructured":"Hershkovitz , A. , & Nachmias , R. ( 2008 ). Developing a log-based motivation measuring tool . In Educational Data Mining 2008. Hershkovitz, A., & Nachmias, R. (2008). Developing a log-based motivation measuring tool. In Educational Data Mining 2008."},{"key":"e_1_3_2_1_26_1","volume-title":"Educational Data Mining","author":"Hershkovitz A.","year":"2009","unstructured":"Hershkovitz , A. , & Nachmias , R. ( 2009 ). Consistency of students' pace in online learning . In Educational Data Mining 2009. Hershkovitz, A., & Nachmias, R. (2009). Consistency of students' pace in online learning. In Educational Data Mining 2009."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07221-0_4"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10648-007-9051-6"},{"key":"e_1_3_2_1_29_1","volume-title":"Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 2155--2160)","author":"Koedinger K.R.","year":"2008","unstructured":"Koedinger , K.R. , Pavlik , P. , McLaren , B.M. , & Aleven , V. ( 2008 ). Is it Better to Give than to Receive? The Assistance Dilemma as a Fundamental Unsolved Problem in the Cognitive Science of Learning and Instruction. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.) , Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 2155--2160) . Austin, TX: Cognitive Science Society. Koedinger, K.R., Pavlik, P., McLaren, B.M., & Aleven, V. (2008). Is it Better to Give than to Receive? The Assistance Dilemma as a Fundamental Unsolved Problem in the Cognitive Science of Learning and Instruction. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 2155--2160). Austin, TX: Cognitive Science Society."},{"key":"e_1_3_2_1_30_1","volume-title":"Changes in prefrontal cortical behavior depend upon familiarity on a bimanual co-ordination task: An fNIRS study. NeuroImage 39. 805--813","author":"Leff D. R.","year":"2008","unstructured":"Leff , D. R. , Elwell , C. E. , Orihuela-Espina , F. , Atallah , L. , Delpy , D. T. , Darzi , A. W. , Yang , G.Z. ( 2008 ). Changes in prefrontal cortical behavior depend upon familiarity on a bimanual co-ordination task: An fNIRS study. NeuroImage 39. 805--813 . Leff, D. R., Elwell, C. E., Orihuela-Espina, F., Atallah, L., Delpy, D. T., Darzi, A. W., Yang, G.Z. (2008). Changes in prefrontal cortical behavior depend upon familiarity on a bimanual co-ordination task: An fNIRS study. NeuroImage 39. 805--813."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13437-1_53"},{"key":"e_1_3_2_1_32_1","volume-title":"Unique contributions of eye-tracking research to the study of learning with graphics. Learning and instruction, 20(2), 167--171","author":"Mayer R. E.","year":"2010","unstructured":"Mayer , R. E. ( 2010 ). Unique contributions of eye-tracking research to the study of learning with graphics. Learning and instruction, 20(2), 167--171 . Mayer, R. E. (2010). Unique contributions of eye-tracking research to the study of learning with graphics. Learning and instruction, 20(2), 167--171."},{"volume-title":"Artificial Intelligence in Education (pp. 7180)","author":"Mills C.","key":"e_1_3_2_1_33_1","unstructured":"Mills , C. , D'Mello , S. , Lehman , B. , Bosch , N. , Strain , A. , & Graesser , A. (2013, January ). What Makes Learning Fun? Exploring the Influence of Choice and Difficulty on Mind Wandering and Engagement during Learning . In Artificial Intelligence in Education (pp. 7180) . Springer Berlin Heidelberg . Mills, C., D'Mello, S., Lehman, B., Bosch, N., Strain, A., & Graesser, A. (2013, January). What Makes Learning Fun? Exploring the Influence of Choice and Difficulty on Mind Wandering and Engagement during Learning. In Artificial Intelligence in Education (pp. 7180). Springer Berlin Heidelberg."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-010-9086-0"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07440-5_38"},{"key":"e_1_3_2_1_36_1","volume-title":"A response time model for bottom-out hints as worked examples. Handbook of educational data mining, 201--212","author":"Shih B.","year":"2011","unstructured":"Shih , B. , Koedinger , K. R. , & Scheines , R. ( 2011 ). A response time model for bottom-out hints as worked examples. Handbook of educational data mining, 201--212 . Shih, B., Koedinger, K. R., & Scheines, R. (2011). A response time model for bottom-out hints as worked examples. Handbook of educational data mining, 201--212."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.3758\/BF03194057"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1622176.1622207"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2207676.2208372"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73078-1_22"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/11.11.1040"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJLT.2009.028804"}],"event":{"name":"CHI'16: CHI Conference on Human Factors in Computing Systems","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"San Jose California USA","acronym":"CHI'16"},"container-title":["Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2851581.2892496","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2851581.2892496","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:54:28Z","timestamp":1750222468000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2851581.2892496"}},"subtitle":["Building a Rich Dataset"],"short-title":[],"issued":{"date-parts":[[2016,5,7]]},"references-count":42,"alternative-id":["10.1145\/2851581.2892496","10.1145\/2851581"],"URL":"https:\/\/doi.org\/10.1145\/2851581.2892496","relation":{},"subject":[],"published":{"date-parts":[[2016,5,7]]},"assertion":[{"value":"2016-05-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}