{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T00:05:24Z","timestamp":1775693124287,"version":"3.50.1"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030293864","type":"print"},{"value":"9783030293871","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-29387-1_32","type":"book-chapter","created":{"date-parts":[[2019,8,24]],"date-time":"2019-08-24T10:02:35Z","timestamp":1566640955000},"page":"551-560","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Personality Is Revealed During Weekends: Towards Data Minimisation for Smartphone Based Personality Classification"],"prefix":"10.1007","author":[{"given":"Mohammed","family":"Khwaja","sequence":"first","affiliation":[]},{"given":"Aleksandar","family":"Matic","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,25]]},"reference":[{"key":"32_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/978-3-642-13470-8_4","volume-title":"User Modeling, Adaptation, and Personalization","author":"F Abel","year":"2010","unstructured":"Abel, F., Henze, N., Herder, E., Krause, D.: Interweaving public user profiles on the web. In: De Bra, P., Kobsa, A., Chin, D. (eds.) UMAP 2010. LNCS, vol. 6075, pp. 16\u201327. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13470-8_4"},{"key":"32_CR2","doi-asserted-by":"crossref","unstructured":"Canzian, L., Musolesi, M.: Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis. In: Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing, pp. 1293\u20131304. ACM (2015)","DOI":"10.1145\/2750858.2805845"},{"issue":"11","key":"32_CR3","doi-asserted-by":"publisher","first-page":"882","DOI":"10.17706\/jsw.12.11.882-891","volume":"12","author":"C Catal","year":"2017","unstructured":"Catal, C., et al.: Cross-cultural personality prediction based on twitter data. J. Softw. 12(11), 882\u2013892 (2017)","journal-title":"J. Softw."},{"key":"32_CR4","doi-asserted-by":"crossref","unstructured":"Chittaranjan, G., Blom, J., Gatica-Perez, D.: Who\u2019s who with big-five: analyzing and classifying personality traits with smartphones. In: 2011 15th Annual International Symposium on Wearable Computers (ISWC), pp. 29\u201336. IEEE (2011)","DOI":"10.1109\/ISWC.2011.29"},{"issue":"3","key":"32_CR5","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1007\/s00779-011-0490-1","volume":"17","author":"G Chittaranjan","year":"2013","unstructured":"Chittaranjan, G., Blom, J., Gatica-Perez, D.: Mining large-scale smartphone data for personality studies. Pers. Ubiquit. Comput. 17(3), 433\u2013450 (2013)","journal-title":"Pers. Ubiquit. Comput."},{"key":"32_CR6","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511596544","volume-title":"The Cambridge handbook of personality psychology","author":"PJ Corr","year":"2009","unstructured":"Corr, P.J., Matthews, G.: The Cambridge handbook of personality psychology. Cambridge University Press Cambridge, UK (2009)"},{"key":"32_CR7","doi-asserted-by":"crossref","unstructured":"DeYoung, C.G., Gray, J.R.: Personality neuroscience: explaining individual differences in affect, behaviour and cognition. In: The Cambridge handbook of personality psychology, pp. 323\u2013346 (2009)","DOI":"10.1017\/CBO9780511596544.023"},{"key":"32_CR8","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1007\/978-3-319-46131-1_29","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"B Ferwerda","year":"2016","unstructured":"Ferwerda, B., Schedl, M.: Personality-based user modeling for music recommender systems. In: Berendt, B., et al. (eds.) ECML PKDD 2016. LNCS (LNAI), vol. 9853, pp. 254\u2013257. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46131-1_29"},{"key":"32_CR9","unstructured":"Ferwerda, B., Tkalcic, M.: You are what you post: what the content of instagram pictures tells about users\u2019 personality. In: The 23rd International on Intelligent User Interfaces (2018)"},{"issue":"1","key":"32_CR10","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.jrp.2005.08.007","volume":"40","author":"LR Goldberg","year":"2006","unstructured":"Goldberg, L.R., et al.: The international personality item pool and the future of public-domain personality measures. J. Res. Pers. 40(1), 84\u201396 (2006)","journal-title":"J. Res. Pers."},{"issue":"2","key":"32_CR11","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/j.paid.2005.01.011","volume":"39","author":"AJ Gow","year":"2005","unstructured":"Gow, A.J., Whiteman, M.C., Pattie, A., Deary, I.J.: Goldberg\u2019s \u2018IPIP\u2019 big-five factor markers: internal consistency and concurrent validation in Scotland. Pers. Individ. Differ. 39(2), 317\u2013329 (2005)","journal-title":"Pers. Individ. Differ."},{"key":"32_CR12","doi-asserted-by":"crossref","unstructured":"Jia, Y., et al.: Personality-targeted gamification: a survey study on personality traits and motivational affordances. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 2001\u20132013. ACM (2016)","DOI":"10.1145\/2858036.2858515"},{"key":"32_CR13","doi-asserted-by":"crossref","unstructured":"Lee, M.J., Ferwerda, B.: Personalizing online educational tools. In: Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, pp. 27\u201330. ACM (2017)","DOI":"10.1145\/3039677.3039680"},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Minamikawa, A., Yokoyama, H.: Blog tells what kind of personality you have: egogram estimation from japanese weblog. In: Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, pp. 217\u2013220. ACM (2011)","DOI":"10.1145\/1958824.1958856"},{"key":"32_CR15","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.jrp.2017.12.004","volume":"74","author":"B M\u00f8nsted","year":"2018","unstructured":"M\u00f8nsted, B., Mollgaard, A., Mathiesen, J.: Phone-based metric as a predictor for basic personality traits. J. Res. Pers. 74, 16\u201322 (2018)","journal-title":"J. Res. Pers."},{"key":"32_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1007\/978-3-642-37210-0_6","volume-title":"Social Computing, Behavioral-Cultural Modeling and Prediction","author":"Y-A de Montjoye","year":"2013","unstructured":"de Montjoye, Y.-A., Quoidbach, J., Robic, F., Pentland, A.S.: Predicting personality using novel mobile phone-based metrics. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds.) SBP 2013. LNCS, vol. 7812, pp. 48\u201355. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-37210-0_6"},{"issue":"2","key":"32_CR17","first-page":"10","volume":"20","author":"R de Oliveira","year":"2013","unstructured":"de Oliveira, R., Cherubini, M., Oliver, N.: Influence of personality on satisfaction with mobile phone services. ACM Transact. Comput. Hum. Inter. (TOCHI) 20(2), 10 (2013)","journal-title":"ACM Transact. Comput. Hum. Inter. (TOCHI)"},{"key":"32_CR18","doi-asserted-by":"crossref","unstructured":"de Oliveira, R., et al.: Towards a psychographic user model from mobile phone usage. In: CHI 2011 Extended Abstracts on Human Factors in Computing Systems, pp. 2191\u20132196. ACM (2011)","DOI":"10.1145\/1979742.1979920"},{"key":"32_CR19","doi-asserted-by":"crossref","unstructured":"Orji, R., Nacke, L.E., Di Marco, C.: Towards personality-driven persuasive health games and gamified systems. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 1015\u20131027. ACM (2017)","DOI":"10.1145\/3025453.3025577"},{"issue":"2","key":"32_CR20","first-page":"9","volume":"12","author":"S Park","year":"2018","unstructured":"Park, S., Matic, A., Garg, K., Oliver, N.: When simpler data does not imply less information: a study of user profiling scenarios with constrained view of mobile HTTP(s) traffic. ACM Transact. Web (TWEB) 12(2), 9 (2018)","journal-title":"ACM Transact. Web (TWEB)"},{"key":"32_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1007\/978-3-319-68059-0_4","volume-title":"Human-Computer Interaction \u2013 INTERACT 2017","author":"F Raber","year":"2017","unstructured":"Raber, F., Krueger, A.: Towards understanding the influence of personality on mobile app permission settings. In: Bernhaupt, R., Dalvi, G., Joshi, A., K. Balkrishan, D., O\u2019Neill, J., Winckler, M. (eds.) INTERACT 2017. LNCS, vol. 10516, pp. 62\u201382. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68059-0_4"},{"issue":"1","key":"32_CR22","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1521\/jscp.2010.29.1.95","volume":"29","author":"RM Ryan","year":"2010","unstructured":"Ryan, R.M., Bernstein, J.H., Brown, K.W.: Weekends, work, and well-being: psychological need satisfactions and day of the week effects on mood, vitality, and physical symptoms. J. Soc. Clin. Psychol. 29(1), 95\u2013122 (2010)","journal-title":"J. Soc. Clin. Psychol."},{"key":"32_CR23","doi-asserted-by":"crossref","unstructured":"Staddon, J., Huffaker, D., Brown, L., Sedley, A.: Are privacy concerns a turn-off?: engagement and privacy in social networks. In: Proceedings of the Eighth Symposium on Usable Privacy and Security, p. 10. ACM (2012)","DOI":"10.1145\/2335356.2335370"},{"key":"32_CR24","doi-asserted-by":"crossref","unstructured":"Staiano, J., Lepri, B., Aharony, N., Pianesi, F., Sebe, N., Pentland, A.: Friends don\u2019t lie: inferring personality traits from social network structure. In: Proceedings of the 2012 ACM conference on ubiquitous computing, pp. 321\u2013330. ACM (2012)","DOI":"10.1145\/2370216.2370266"},{"key":"32_CR25","unstructured":"Tene, O., Polonetsky, J.: Big data for all: privacy and user control in the age of analytics. Nw. J. Tech. Intell. Prop. 11, xxvii (2012)"},{"issue":"3","key":"32_CR26","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1109\/TAFFC.2014.2330816","volume":"5","author":"A Vinciarelli","year":"2014","unstructured":"Vinciarelli, A., Mohammadi, G.: A survey of personality computing. IEEE Transact. Affect. Comput. 5(3), 273\u2013291 (2014)","journal-title":"IEEE Transact. Affect. Comput."},{"issue":"3","key":"32_CR27","first-page":"141","volume":"2","author":"W Wang","year":"2018","unstructured":"Wang, W., et al.: Sensing behavioral change over time: Using within-person variability features from mobile sensing to predict personality traits. Proc. ACM Interact. Mobile Wearable Ubiquit. Technol. 2(3), 141 (2018)","journal-title":"Proc. ACM Interact. Mobile Wearable Ubiquit. Technol."},{"key":"32_CR28","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.chb.2016.04.011","volume":"62","author":"R Xu","year":"2016","unstructured":"Xu, R., Frey, R.M., Fleisch, E., Ilic, A.: Understanding the impact of personality traits on mobile app adoption-insights from a large-scale field study. Comput. Hum. Behav. 62, 244\u2013256 (2016)","journal-title":"Comput. Hum. Behav."},{"key":"32_CR29","doi-asserted-by":"crossref","unstructured":"Yee, N., et al.: Introverted elves & conscientious gnomes: the expression of personality in world of warcraft. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems pp. 753\u2013762. ACM (2011)","DOI":"10.1145\/1978942.1979052"},{"key":"32_CR30","doi-asserted-by":"publisher","DOI":"10.1007\/0-306-47155-8_6","volume-title":"Time Use Research in the Social Sciences","author":"J Zuzanek","year":"2002","unstructured":"Zuzanek, J., Smale, B.J.A.: Life-Cycle and across-the-week allocation of time to daily activities. In: Pentland, W.E., Harvey, A.S., Lawton, M.P., McColl, M.A. (eds.) Time Use Research in the Social Sciences. Springer, Boston (2002). https:\/\/doi.org\/10.1007\/0-306-47155-8_6"}],"container-title":["Lecture Notes in Computer Science","Human-Computer Interaction \u2013 INTERACT 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29387-1_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T00:15:23Z","timestamp":1692836123000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-29387-1_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030293864","9783030293871"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29387-1_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"25 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"INTERACT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paphos","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"interact2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/interact2019.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"PCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"385","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":"111","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":"55","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":"29% - 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":"3.2","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":"4","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"48 other papers were accepted.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}