{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:19:33Z","timestamp":1743052773168,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031350160"},{"type":"electronic","value":"9783031350177"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-35017-7_7","type":"book-chapter","created":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:04:27Z","timestamp":1688857467000},"page":"89-107","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Studying Human Factors Aspects of Text Classification Task Using Eye Tracking"],"prefix":"10.1007","author":[{"given":"Jeevithashree","family":"Divya Venkatesh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aparajita","family":"Jaiswal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meet Tusharbhai","family":"Suthar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Romila","family":"Pradhan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaurav","family":"Nanda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,9]]},"reference":[{"issue":"1","key":"7_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/505282.505283","volume":"34","author":"F Sebastiani","year":"2002","unstructured":"Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. 34(1), 1\u201347 (2002)","journal-title":"ACM Comput. Surv."},{"issue":"2","key":"7_CR2","first-page":"1","volume":"13","author":"Q Li","year":"2022","unstructured":"Li, Q., et al.: A survey on text classification: from traditional to deep learning. ACM Trans. Intell. Syst. Technol. 13(2), 1\u201341 (2022)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"7_CR3","doi-asserted-by":"publisher","first-page":"168261","DOI":"10.1109\/ACCESS.2019.2954791","volume":"7","author":"A Karim","year":"2019","unstructured":"Karim, A., Azam, S., Shanmugam, B., Kannoorpatti, K., Alazab, M.: A comprehensive survey for intelligent spam email detection. IEEE Access 7, 168261\u2013168295 (2019)","journal-title":"IEEE Access"},{"key":"7_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2021.101842","volume":"106","author":"S Castano","year":"2022","unstructured":"Castano, S., Falduti, M., Ferrara, A., Montanelli, S.: A knowledge-centered framework for exploration and retrieval of legal documents. Inf. Syst. 106, 101842 (2022)","journal-title":"Inf. Syst."},{"issue":"1","key":"7_CR5","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1017\/pan.2020.8","volume":"29","author":"P Barber\u00e1","year":"2021","unstructured":"Barber\u00e1, P., Boydstun, A.E., Linn, S., McMahon, R., Nagler, J.: Automated text classification of news articles: a practical guide. Polit. Anal. 29(1), 19\u201342 (2021)","journal-title":"Polit. Anal."},{"key":"7_CR6","unstructured":"Hughes, M., Li, I., Kotoulas, S., Suzumura, T.: Medical text classification using convolutional neural networks. In: Informatics for Health: Connected Citizen-Led Wellness and Population Health, pp. 246\u2013250. IOS Press (2017)"},{"issue":"2","key":"7_CR7","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1080\/24725579.2019.1567628","volume":"9","author":"G Nanda","year":"2019","unstructured":"Nanda, G., Vallmuur, K., Lehto, M.: Semi-automated text mining strategies for identifying rare causes of injuries from emergency room triage data. IISE Trans. Healthc. Syst. Eng. 9(2), 157\u2013171 (2019)","journal-title":"IISE Trans. Healthc. Syst. Eng."},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Jain, A., et al.: Overview and importance of data quality for machine learning tasks. In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery Data Mining, pp. 3561\u20133562 (2020)","DOI":"10.1145\/3394486.3406477"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"Gupta, N., et al.: Data quality for machine learning tasks. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery Data Mining, pp. 4040\u20134041 (2021)","DOI":"10.1145\/3447548.3470817"},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Sheng, V.S., Provost, F., Ipeirotis, P.G.: Get another label? Improving data quality and data mining using multiple, noisy labelers. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 614\u2013622 (2008)","DOI":"10.1145\/1401890.1401965"},{"issue":"1","key":"7_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-031-03763-4","volume":"15","author":"S Paun","year":"2022","unstructured":"Paun, S., Artstein, R., Poesio, M.: Statistical methods for annotation analysis. Synth. Lect. Hum. Lang. Technol. 15(1), 1\u2013217 (2022)","journal-title":"Synth. Lect. Hum. Lang. Technol."},{"key":"7_CR12","unstructured":"Nanda, G.: Improving the autocoding of injury narratives using a combination of machine learning methods and natural language processing techniques. Doctoral dissertation, Purdue University (2017)"},{"key":"7_CR13","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.aap.2017.10.020","volume":"110","author":"G Nanda","year":"2018","unstructured":"Nanda, G., Vallmuur, K., Lehto, M.: Improving autocoding performance of rare categories in injury classification: is more training data or filtering the solution? Accid. Anal. Prev. 110, 115\u2013127 (2018)","journal-title":"Accid. Anal. Prev."},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Sen, C., Hartvigsen, T., Yin, B., Kong, X., Rundensteiner, E.: Human attention maps for text classification: do humans and neural networks focus on the same words? In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 4596\u20134608 (2020)","DOI":"10.18653\/v1\/2020.acl-main.419"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Nguyen, D.: Comparing automatic and human evaluation of local explanations for text classification. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol. 1 (Long Papers), pp. 1069\u20131078 (2018)","DOI":"10.18653\/v1\/N18-1097"},{"key":"7_CR16","unstructured":"Wikimedia Foundation: Eye tracking. https:\/\/en.wikipedia.org\/wiki\/Eye_tracking"},{"key":"7_CR17","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1007\/978-3-030-27529-7_53","volume-title":"Intelligent Robotics and Applications","author":"J Jiang","year":"2019","unstructured":"Jiang, J., Zhou, X., Chan, S., Chen, S.: Appearance-based gaze tracking: a brief review. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds.) ICIRA 2019. LNCS (LNAI), vol. 11745, pp. 629\u2013640. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-27529-7_53"},{"key":"7_CR18","volume":"113","author":"MJ Kooiker","year":"2016","unstructured":"Kooiker, M.J., Pel, J.J., van der Steen-Kant, S.P., van der Steen, J.: A method to quantify visual information processing in children using eye tracking. J. Vis. Exp. 113, e54031 (2016)","journal-title":"J. Vis. Exp."},{"key":"7_CR19","doi-asserted-by":"crossref","unstructured":"Babu, M.D., JeevithaShree, D.V., Prabhakar, G., Saluja, K.P.S., Pashilkar, A., Biswas, P.: Estimating pilots\u2019 cognitive load from ocular parameters through simulation and in-flight studies. J. Eye Mov. Res. 12(3) (2019)","DOI":"10.16910\/jemr.12.3.3"},{"issue":"3","key":"7_CR20","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1080\/19312458.2018.1558194","volume":"13","author":"AJ King","year":"2019","unstructured":"King, A.J., Bol, N., Cummins, R.G., John, K.K.: Improving visual behavior research in communication science: an overview, review, and reporting recommendations for using eye-tracking methods. Commun. Methods Meas. 13(3), 149\u2013177 (2019)","journal-title":"Commun. Methods Meas."},{"key":"7_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2019.103000","volume":"109","author":"J Li","year":"2020","unstructured":"Li, J., et al.: Identification and classification of construction equipment operators\u2019 mental fatigue using wearable eye-tracking technology. Autom. Constr. 109, 103000 (2020)","journal-title":"Autom. Constr."},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Rello, L., Ballesteros, M.: Detecting readers with dyslexia using machine learning with eye tracking measures. In: Proceedings of the 12th International Web for All Conference, pp. 1\u20138 (2015)","DOI":"10.1145\/2745555.2746644"},{"key":"7_CR23","doi-asserted-by":"crossref","unstructured":"Saluja, K.S., Dv, J., Arjun, S., Biswas, P., Paul, T.: Analyzing eye gaze of users with learning disability. In: Proceedings of the 3rd International Conference on Graphics and Signal Processing, pp. 95\u201399 (2019)","DOI":"10.1145\/3338472.3338481"},{"key":"7_CR24","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.chb.2017.02.035","volume":"72","author":"K Tzafilkou","year":"2017","unstructured":"Tzafilkou, K., Protogeros, N.: Diagnosing user perception and acceptance using eye tracking in web-based end-user development. Comput. Hum. Behav. 72, 23\u201337 (2017)","journal-title":"Comput. Hum. Behav."},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"Zagermann, J., Pfeil, U., Reiterer, H.: Measuring cognitive load using eye tracking technology in visual computing. In: Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization, pp. 78\u201385 (2016)","DOI":"10.1145\/2993901.2993908"},{"key":"7_CR26","doi-asserted-by":"crossref","unstructured":"Kruger, J.L., Hefer, E., Matthew, G.: Measuring the impact of subtitles on cognitive load: eye tracking and dynamic audiovisual texts. In: Proceedings of the 2013 Conference on Eye Tracking South Africa, pp. 62\u201366 (2013)","DOI":"10.1145\/2509315.2509331"},{"key":"7_CR27","volume":"83","author":"GE Raney","year":"2014","unstructured":"Raney, G.E., Campbell, S.J., Bovee, J.C.: Using eye movements to evaluate the cognitive processes involved in text comprehension. J. Vis. Exp. 83, e50780 (2014)","journal-title":"J. Vis. Exp."},{"key":"7_CR28","unstructured":"Tomanek, K., Hahn, U., Lohmann, S., Ziegler, J.: A cognitive cost model of annotations based on eye-tracking data. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 1158\u20131167 (2010)"},{"key":"7_CR29","series-title":"Cognitive Intelligence and Robotics","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/978-981-13-1516-9_4","volume-title":"Cognitively Inspired Natural Language Processing","author":"A Mishra","year":"2018","unstructured":"Mishra, A., Bhattacharyya, P.: Scanpath complexity: modeling reading\/annotation effort using gaze information. In: Cognitively Inspired Natural Language Processing. CIR, pp. 77\u201398. Springer, Singapore (2018). https:\/\/doi.org\/10.1007\/978-981-13-1516-9_4"},{"key":"7_CR30","doi-asserted-by":"crossref","unstructured":"Joshi, A., Mishra, A., Senthamilselvan, N., Bhattacharyya, P.: Measuring sentiment annotation complexity of text. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, vol. 2 (Short Papers), pp. 36\u201341 (2014)","DOI":"10.3115\/v1\/P14-2007"},{"key":"7_CR31","doi-asserted-by":"crossref","unstructured":"Hart, S.G.: NASA-task load index (NASA-TLX); 20\u2009years later. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 50, no. 9, pp. 904\u2013908. Sage Publications, Los Angeles, CA (2006)","DOI":"10.1177\/154193120605000909"},{"issue":"03","key":"7_CR32","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1055\/a-1863-7176","volume":"13","author":"J Catchpoole","year":"2022","unstructured":"Catchpoole, J., Nanda, G., Vallmuur, K., Nand, G., Lehto, M.: Application of a machine learning\u2013based decision support tool to improve an injury surveillance system workflow. Appl. Clin. Inform. 13(03), 700\u2013710 (2022)","journal-title":"Appl. Clin. Inform."},{"key":"7_CR33","doi-asserted-by":"crossref","unstructured":"Salvucci, D.D., Goldberg, J.H.: Identifying fixations and saccades in eye-tracking protocols. In: Proceedings of the 2000 Symposium on Eye Tracking Research Applications, pp. 71\u201378 (2000)","DOI":"10.1145\/355017.355028"},{"key":"7_CR34","first-page":"4","volume":"21","author":"A Olsen","year":"2012","unstructured":"Olsen, A.: The Tobii I-VT fixation filter. Tobii Technol. 21, 4\u201319 (2012)","journal-title":"Tobii Technol."},{"key":"7_CR35","unstructured":"Will, T.: Measuring and interpreting system usability scale (SUS) (2021). https:\/\/uiuxtrend.com\/measuring-system-usability-scale-sus\/"},{"key":"7_CR36","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.trf.2022.05.004","volume":"89","author":"W Chen","year":"2022","unstructured":"Chen, W., Sawaragi, T., Hiraoka, T.: Comparing eye-tracking metrics of mental workload caused by NDRTs in semi-autonomous driving. Transp. Res. F Traffic Psychol. Behav. 89, 109\u2013128 (2022)","journal-title":"Transp. Res. F Traffic Psychol. Behav."}],"container-title":["Lecture Notes in Computer Science","Augmented Cognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35017-7_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:37:26Z","timestamp":1688859446000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35017-7_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031350160","9783031350177"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35017-7_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"9 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7472","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1578","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"396","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}