{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T07:23:37Z","timestamp":1781335417869,"version":"3.54.1"},"publisher-location":"New York, New York, USA","reference-count":19,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1145\/2800835.2804394","type":"proceedings-article","created":{"date-parts":[[2015,10,6]],"date-time":"2015-10-06T15:22:12Z","timestamp":1444144932000},"page":"693-702","source":"Crossref","is-referenced-by-count":26,"title":["How to use smartphones for less obtrusive ambulatory mood assessment and mood recognition"],"prefix":"10.1145","author":[{"given":"Anja","family":"Bachmann","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christoph","family":"Klebsattel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Budde","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Till","family":"Riedel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Beigl","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Markus","family":"Reichert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philip","family":"Santangelo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ulrich","family":"Ebner-Priemer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","reference":[{"key":"key-10.1145\/2800835.2804394-1","doi-asserted-by":"crossref","unstructured":"Aaron Bangor, Philip T Kortum, and James T Miller. 2008. An empirical evaluation of the system usability scale.Intl. Journal of Human--Computer Interaction24, 6 (2008).","DOI":"10.1080\/10447310802205776"},{"key":"key-10.1145\/2800835.2804394-2","unstructured":"John Brooke. 1996. SUS-A quick and dirty usability scale.Usability evaluation in industry189 (1996)."},{"key":"key-10.1145\/2800835.2804394-3","unstructured":"Richard J Davidson. 1994. On emotion, mood, and related affective constructs.The nature of emotion: Fundamental questions(1994)."},{"key":"key-10.1145\/2800835.2804394-4","doi-asserted-by":"crossref","unstructured":"Ulrich W Ebner-Priemer and Timothy J Trull. 2009. Ecological momentary assessment of mood disorders and mood dysregulation.Psychological Assessment21, 4 (2009).","DOI":"10.1037\/a0017075"},{"key":"key-10.1145\/2800835.2804394-5","doi-asserted-by":"crossref","unstructured":"Jochen Fahrenberg, Michael Myrtek, Kurt Pawlik, and Meinrad Perrez. 2007. Ambulatory assessment--Monitoring behavior in daily life settings: A behavioral-scientific challenge for psychology.European Journal of Psychological Assessment23, 4 (2007).","DOI":"10.1027\/1015-5759.23.4.206"},{"key":"key-10.1145\/2800835.2804394-6","doi-asserted-by":"crossref","unstructured":"Cynthia D Fisher and March L To. 2012. Using experience sampling methodology in organizational behavior.Journal of Organizational Behavior33, 7 (2012).","DOI":"10.1002\/job.1803"},{"key":"key-10.1145\/2800835.2804394-7","unstructured":"Agnes Grunerbl, Amir Muaremi, Venet Osmani, Gernot Bahle, Stefan Ohler, G Troster, Oscar Mayora, Christian Haring, and Paul Lukowicz. 2015. Smartphone-based recognition of States and state changes in bipolar disorder patients.IEEE Journal of Biomedical and Health Informatics19, 1 (2015), 140--148."},{"key":"key-10.1145\/2800835.2804394-8","unstructured":"Kiraz Candan Herdem. InUbiComp'12."},{"key":"key-10.1145\/2800835.2804394-9","doi-asserted-by":"crossref","unstructured":"Stefan Hey, Panagiota Anastasopoulou, Andr&#233; Bideaux, and Wilhelm Stork. 2014. Recent Developments of Ambulatory Assessment Methods.Zeitschrift f&#252;r Neuropsychologie25, 4 (2014).","DOI":"10.1024\/1016-264X\/a000143"},{"key":"key-10.1145\/2800835.2804394-10","doi-asserted-by":"crossref","unstructured":"Hosub Lee, Young Sang Choi, Sunjae Lee, and IP. Park. 2012. Towards unobtrusive emotion recognition for affective social communication. InCCNC'12.","DOI":"10.1109\/CCNC.2012.6181098"},{"key":"key-10.1145\/2800835.2804394-11","unstructured":"Robert LiKamWa, Yunxin Liu, Nicholas D Lane, and Lin Zhong. 2011. Can your smartphone infer your mood?. InPhoneSense workshop."},{"key":"key-10.1145\/2800835.2804394-12","doi-asserted-by":"crossref","unstructured":"Oscar Mayora, Bert Arnrich, Jakob Bardram, Carsten Dr&#228;ger, Andrea Finke, Mads Frost, Silvia Giordano, Franz Gravenhorst, Agnes Grunerbl, Christian Haring, and others. 2013. Personal health systems for bipolar disorder Anecdotes, challenges and lessons learnt from MONARCA project. InPervasiveHealth'13.","DOI":"10.4108\/icst.pervasivehealth.2013.252123"},{"key":"key-10.1145\/2800835.2804394-13","doi-asserted-by":"crossref","unstructured":"Geoffrey Miller. 2012. The smartphone psychology manifesto.Perspectives on Psychological Science7, 3 (2012).","DOI":"10.1177\/1745691612441215"},{"key":"key-10.1145\/2800835.2804394-14","doi-asserted-by":"crossref","unstructured":"Amir Muaremi, Bert Arnrich, and Gerhard Tr&#246;ster. 2013. Towards measuring stress with smartphones and wearable devices during workday and sleep.BioNanoScience3, 2 (2013).","DOI":"10.1007\/s12668-013-0089-2"},{"key":"key-10.1145\/2800835.2804394-15","doi-asserted-by":"crossref","unstructured":"Kiran K Rachuri, Mirco Musolesi, Cecilia Mascolo, Peter J Rentfrow, Chris Longworth, and Andrius Aucinas. 2010. EmotionSense: a mobile phones based adaptive platform for experimental social psychology research. InUbiComp'10.","DOI":"10.1145\/1864349.1864393"},{"key":"key-10.1145\/2800835.2804394-16","doi-asserted-by":"crossref","unstructured":"Ulrich Schimmack and Alexander Grob. 2000. Dimensional models of core affect: A quantitative comparison by means of structural equation modeling.European Journal of Personality14, 4 (2000).","DOI":"10.1002\/1099-0984(200007\/08)14:4<325::AID-PER380>3.0.CO;2-I"},{"key":"key-10.1145\/2800835.2804394-17","unstructured":"Rui Wang, Fanglin Chen, Zhenyu Chen, Tianxing Li, Gabriella Harari, Stefanie Tignor, Xia Zhou, Dror Ben-Zeev, and Andrew T Campbell. 2014. Studentlife: assessing mental health, academic performance and behavioral trends of college students using smartphones. InUbiComp'14."},{"key":"key-10.1145\/2800835.2804394-18","unstructured":"Peter Wilhelm and Dominik Schoebi. 2007. Assessing mood in daily life: Structural validity, sensitivity to change, and reliability of a short-scale to measure three basic dimensions of mood.European Journal of Psychological Assessment23, 4 (2007)."},{"key":"key-10.1145\/2800835.2804394-19","unstructured":"World Health Organization. 1992.The ICD-10 classification of mental and behavioural disorders: clinical descriptions and diagnostic guidelines."}],"event":{"name":"the 2015 ACM International Joint Conference","location":"Osaka, Japan","acronym":"UbiComp '15","number":"2015","sponsor":["Google Inc.","Telef\u00f3nica","SIGCHI, ACM Special Interest Group on Computer-Human Interaction","SIGMOBILE, ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","FX Palo Alto Laboratory, Inc.","ISTC-PC, Intel Science and Technology Center for Pervasive Computing","Panasonic, Panasonic Corporation","Microsoft","Rakuten Institute of Technology"],"start":{"date-parts":[[2015,9,7]]},"end":{"date-parts":[[2015,9,11]]}},"container-title":["Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2800835.2804394","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=2804394&amp;ftid=1628764&amp;dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:42:56Z","timestamp":1750225376000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=2800835.2804394"}},"subtitle":[],"proceedings-subject":"Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers","short-title":[],"issued":{"date-parts":[[2015]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1145\/2800835.2804394","relation":{},"subject":[],"published":{"date-parts":[[2015]]}}}