{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T19:12:52Z","timestamp":1776107572928,"version":"3.50.1"},"reference-count":84,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T00:00:00Z","timestamp":1718841600000},"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":["ACM J. Comput. Sustain. Soc."],"published-print":{"date-parts":[[2024,6,30]]},"abstract":"<jats:p>Wearable technology holds promise for monitoring and managing Social Anxiety Disorder (SAD), yet the absence of clear biomarkers specific to SAD hampers its effectiveness. This article explores this issue by presenting a study investigating variances in heart rate, heart rate variability, and skin conductance between socially anxious and non-anxious individuals. One hundred eleven non-clinical student participants participated in groups of three in three anxiety-provoking activities (i.e., speech, group discussion, and interview) in a controlled lab-based study. During the study, electrocardiogram (ECG) and electrodermal activity (EDA) signals were captured via on-body electrodes. During data analysis, participants were divided into four groups based on their self-reported anxiety level (\u201cnone,\u201d \u201cmild,\u201d \u201cmoderate,\u201d and \u201csevere\u201d). Between-group analysis shows that discriminating ECG features (i.e., heart rate and MeanNN) could identify anxious individuals during anxiety-provoking activities, while EDA could not. Moreover, the discriminating ECG features improved the classification accuracy of anxious and non-anxious individuals in different machine-learning techniques. The findings need to be further scrutinized in real-world settings for the generalizability of the results.<\/jats:p>","DOI":"10.1145\/3663671","type":"journal-article","created":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T08:32:58Z","timestamp":1715243578000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Wearable Technology Insights: Unveiling Physiological Responses During Three Different Socially Anxious Activities"],"prefix":"10.1145","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1675-7270","authenticated-orcid":false,"given":"Nilesh Kumar","family":"Sahu","sequence":"first","affiliation":[{"name":"Electrical Engineering and Computer Science, IISER Bhopal, Bhopal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5498-2917","authenticated-orcid":false,"given":"Snehil","family":"Gupta","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, AIIMS Bhopal, Bhopal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1245-2974","authenticated-orcid":false,"given":"Haroon","family":"Lone","sequence":"additional","affiliation":[{"name":"Electrical Engineering and Computer Science, Indian Institute of Science Education and Research Bhopal, Bhopal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,6,20]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1146\/annurev-clinpsy-050212-185631","article-title":"Social anxiety and social anxiety disorder","volume":"9","author":"Morrison Amanda S.","year":"2013","unstructured":"Amanda S. Morrison and Richard G. Heimberg. 2013. Social anxiety and social anxiety disorder. Annu. Rev. Clin. Psychol. 9 (2013), 249\u2013274.","journal-title":"Annu. Rev. Clin. Psychol."},{"key":"e_1_3_1_3_2","first-page":"1","article-title":"The cross-national epidemiology of social anxiety disorder: Data from the World Mental Health Survey Initiative","volume":"15","author":"Stein Dan J.","year":"2017","unstructured":"Dan J. Stein, Carmen C. W. Lim, Annelieke M. Roest, Peter De Jonge, Sergio Aguilar-Gaxiola, Ali Al-Hamzawi, Jordi Alonso, Corina Benjet, Evelyn J. Bromet, Ronny Bruffaerts, et\u00a0al. 2017. The cross-national epidemiology of social anxiety disorder: Data from the World Mental Health Survey Initiative. BMC Med. 15 (2017), 1\u201321.","journal-title":"BMC Med."},{"issue":"1","key":"e_1_3_1_4_2","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1017\/S0033291707001699","article-title":"Social fears and social phobia in the USA: Results from the National Comorbidity Survey Replication","volume":"38","author":"Ruscio Ayelet Meron","year":"2008","unstructured":"Ayelet Meron Ruscio, Timothy A. Brown, Wai Tat Chiu, Jitender Sareen, Murray B. Stein, and Ronald C. Kessler. 2008. Social fears and social phobia in the USA: Results from the National Comorbidity Survey Replication. Psychol. Med. 38, 1 (2008), 15\u201328.","journal-title":"Psychol. Med."},{"issue":"2","key":"e_1_3_1_5_2","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1001\/archpsyc.1996.01830020077009","article-title":"Agoraphobia, simple phobia, and social phobia in the National Comorbidity Survey","volume":"53","author":"Magee William J.","year":"1996","unstructured":"William J. Magee, William W. Eaton, Hans-Ulrich Wittchen, Katherine A. McGonagle, and Ronald C. Kessler. 1996. Agoraphobia, simple phobia, and social phobia in the National Comorbidity Survey. Arch. Gen. Psychiatr. 53, 2 (1996), 159\u2013168.","journal-title":"Arch. Gen. Psychiatr."},{"issue":"8","key":"e_1_3_1_6_2","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1177\/070674379704200804","article-title":"Assessment and treatment of social phobia","volume":"42","author":"Antony Martin M.","year":"1997","unstructured":"Martin M. Antony. 1997. Assessment and treatment of social phobia. Can. J. Psychiatr. 42, 8 (1997), 826\u2013834.","journal-title":"Can. J. Psychiatr."},{"issue":"3","key":"e_1_3_1_7_2","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1037\/prj0000130","article-title":"Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health.","volume":"38","author":"Ben-Zeev Dror","year":"2015","unstructured":"Dror Ben-Zeev, Emily A. Scherer, Rui Wang, Haiyi Xie, and Andrew T. Campbell. 2015. Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health. Psychiatr. Rehabil. J. 38, 3 (2015), 218.","journal-title":"Psychiatr. Rehabil. J."},{"issue":"1","key":"e_1_3_1_8_2","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.ijpsycho.2012.10.012","article-title":"Heart rate and heart rate variability in panic, social anxiety, obsessive\u2013compulsive, and generalized anxiety disorders at baseline and in response to relaxation and hyperventilation","volume":"87","author":"Pittig Andre","year":"2013","unstructured":"Andre Pittig, Joanna J. Arch, Chi W. R. Lam, and Michelle G. Craske. 2013. Heart rate and heart rate variability in panic, social anxiety, obsessive\u2013compulsive, and generalized anxiety disorders at baseline and in response to relaxation and hyperventilation. Int. J. Psychophysiol. 87, 1 (2013), 19\u201327.","journal-title":"Int. J. Psychophysiol."},{"issue":"4","key":"e_1_3_1_9_2","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1111\/1469-8986.00066","article-title":"Autonomic recovery and habituation in social anxiety","volume":"40","author":"Mauss Iris B.","year":"2003","unstructured":"Iris B. Mauss, Frank H. Wilhelm, and James J. Gross. 2003. Autonomic recovery and habituation in social anxiety. Psychophysiology 40, 4 (2003), 648\u2013653.","journal-title":"Psychophysiology"},{"issue":"5","key":"e_1_3_1_10_2","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1097\/00006842-200109000-00010","article-title":"Gender differences in psychophysiological responses to speech stress among older social phobics: Congruence and incongruence between self-evaluative and cardiovascular reactions","volume":"63","author":"Grossman Paul","year":"2001","unstructured":"Paul Grossman, Frank H. Wilhelm, Ichiro Kawachi, and David Sparrow. 2001. Gender differences in psychophysiological responses to speech stress among older social phobics: Congruence and incongruence between self-evaluative and cardiovascular reactions. Psychosom. Med. 63, 5 (2001), 765\u2013777.","journal-title":"Psychosom. Med."},{"issue":"7","key":"e_1_3_1_11_2","doi-asserted-by":"crossref","first-page":"e70468","DOI":"10.1371\/journal.pone.0070468","article-title":"Reduced heart rate variability in social anxiety disorder: Associations with gender and symptom severity","volume":"8","author":"Alvares Gail A.","year":"2013","unstructured":"Gail A. Alvares, Daniel S. Quintana, Andrew H. Kemp, Anita Van Zwieten, Bernard W. Balleine, Ian B. Hickie, and Adam J. Guastella. 2013. Reduced heart rate variability in social anxiety disorder: Associations with gender and symptom severity. PLoS One 8, 7 (2013), e70468.","journal-title":"PLoS One"},{"issue":"4","key":"e_1_3_1_12_2","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1080\/00207411.2019.1706237","article-title":"Developing mental health services in the global south","volume":"48","author":"Fernando Suman","year":"2019","unstructured":"Suman Fernando. 2019. Developing mental health services in the global south. Int. J. Mental Health 48, 4 (2019), 338\u2013345.","journal-title":"Int. J. Mental Health"},{"issue":"8","key":"e_1_3_1_13_2","doi-asserted-by":"crossref","first-page":"e0237853","DOI":"10.1371\/journal.pone.0237853","article-title":"The ethical, social, and cultural dimensions of screening for mental health in children and adolescents of the developing world","volume":"15","author":"Salamanca-Buentello Fabio","year":"2020","unstructured":"Fabio Salamanca-Buentello, Mary V. Seeman, Abdallah S. Daar, and Ross E. G. Upshur. 2020. The ethical, social, and cultural dimensions of screening for mental health in children and adolescents of the developing world. PLoS One 15, 8 (2020), e0237853.","journal-title":"PLoS One"},{"key":"e_1_3_1_14_2","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1602\/neurorx.1.2.182","article-title":"Biomarkers: Potential uses and limitations","volume":"1","author":"Mayeux Richard","year":"2004","unstructured":"Richard Mayeux. 2004. Biomarkers: Potential uses and limitations. NeuroRx 1 (2004), 182\u2013188.","journal-title":"NeuroRx"},{"key":"e_1_3_1_15_2","doi-asserted-by":"crossref","first-page":"730","DOI":"10.3389\/fpsyg.2020.00730","article-title":"Review of EEG, ERP, and brain connectivity estimators as predictive biomarkers of social anxiety disorder","volume":"11","author":"Al-Ezzi Abdulhakim","year":"2020","unstructured":"Abdulhakim Al-Ezzi, Nidal Kamel, Ibrahima Faye, and Esther Gunaseli. 2020. Review of EEG, ERP, and brain connectivity estimators as predictive biomarkers of social anxiety disorder. Front. Psychol. 11 (2020), 730.","journal-title":"Front. Psychol."},{"issue":"1","key":"e_1_3_1_16_2","first-page":"1","article-title":"Processing of increased frequency of social interaction in social anxiety disorder and borderline personality disorder","volume":"11","author":"Weinbrecht Anna","year":"2021","unstructured":"Anna Weinbrecht, Michael Niedeggen, Stefan Roepke, and Babette Renneberg. 2021. Processing of increased frequency of social interaction in social anxiety disorder and borderline personality disorder. Sci. Rep. 11, 1 (2021), 1\u20139.","journal-title":"Sci. Rep."},{"issue":"2","key":"e_1_3_1_17_2","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.biopsycho.2013.06.009","article-title":"Heart rate variability and its neural correlates during emotional face processing in social anxiety disorder","volume":"94","author":"Gaebler Michael","year":"2013","unstructured":"Michael Gaebler, Judith K. Daniels, Jan-Peter Lamke, Thomas Fydrich, and Henrik Walter. 2013. Heart rate variability and its neural correlates during emotional face processing in social anxiety disorder. Biol. Psychol. 94, 2 (2013), 319\u2013330.","journal-title":"Biol. Psychol."},{"key":"e_1_3_1_18_2","article-title":"Unveiling Social Anxiety: Analyzing Acoustic and Linguistic Traits in Impromptu Speech within a Controlled Study","author":"Sahu Nilesh Kumar","year":"2024","unstructured":"Nilesh Kumar Sahu, Manjeet Yadav, and Haroon R. Lone. 2024. Unveiling Social Anxiety: Analyzing Acoustic and Linguistic Traits in Impromptu Speech within a Controlled Study. ACM J. Comput. Sust. Soc. (2024).","journal-title":"ACM J. Comput. Sust. Soc."},{"key":"e_1_3_1_19_2","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.bbi.2015.04.011","article-title":"Discovery of serum biomarkers predicting development of a subsequent depressive episode in social anxiety disorder","volume":"48","author":"Gottschalk M. G.","year":"2015","unstructured":"M. G. Gottschalk, J. D. Cooper, M. K. Chan, M. Bot, B. W. J. H. Penninx, and Sabine Bahn. 2015. Discovery of serum biomarkers predicting development of a subsequent depressive episode in social anxiety disorder. Brain Behav. Immun. 48 (2015), 123\u2013131.","journal-title":"Brain Behav. Immun."},{"issue":"1","key":"e_1_3_1_20_2","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1001\/2013.jamapsychiatry.5","article-title":"Predicting treatment response in social anxiety disorder from functional magnetic resonance imaging","volume":"70","author":"Doehrmann Oliver","year":"2013","unstructured":"Oliver Doehrmann, Satrajit S. Ghosh, Frida E. Polli, Gretchen O. Reynolds, Franziska Horn, Anisha Keshavan, Christina Triantafyllou, Zeynep M. Saygin, Susan Whitfield-Gabrieli, Stefan G. Hofmann, et\u00a0al. 2013. Predicting treatment response in social anxiety disorder from functional magnetic resonance imaging. JAMA Psychiatr. 70, 1 (2013), 87\u201397.","journal-title":"JAMA Psychiatr."},{"issue":"3","key":"e_1_3_1_21_2","doi-asserted-by":"crossref","first-page":"517","DOI":"10.3390\/jcm10030517","article-title":"Salivary biomarkers of stress, anxiety and depression","volume":"10","author":"Chojnowska Sylwia","year":"2021","unstructured":"Sylwia Chojnowska, Iwona Ptaszy\u0144ska-Sarosiek, Alina K\u0119pka, Ma\u0142gorzata Kna\u015b, and Napoleon Waszkiewicz. 2021. Salivary biomarkers of stress, anxiety and depression. J. Clin. Med. 10, 3 (2021), 517.","journal-title":"J. Clin. Med."},{"issue":"1","key":"e_1_3_1_22_2","first-page":"1","article-title":"Urinary biomarker panel for diagnosing patients with depression and anxiety disorders","volume":"8","author":"Chen Jian-jun","year":"2018","unstructured":"Jian-jun Chen, Shun-Jie Bai, Wen-wen Li, Chan-juan Zhou, Peng Zheng, Liang Fang, Hai-yang Wang, Yi-yun Liu, and Peng Xie. 2018. Urinary biomarker panel for diagnosing patients with depression and anxiety disorders. Transl. Psychiatr. 8, 1 (2018), 1\u201310.","journal-title":"Transl. Psychiatr."},{"issue":"7","key":"e_1_3_1_23_2","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1016\/j.janxdis.2010.05.013","article-title":"Emotional response patterns during social threat in individuals with generalized social anxiety disorder and non-anxious controls","volume":"24","author":"Moscovitch David A.","year":"2010","unstructured":"David A. Moscovitch, Michael K. Suvak, and Stefan G. Hofmann. 2010. Emotional response patterns during social threat in individuals with generalized social anxiety disorder and non-anxious controls. J. Anxiety Disord. 24, 7 (2010), 785\u2013791.","journal-title":"J. Anxiety Disord."},{"issue":"12","key":"e_1_3_1_24_2","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1016\/S0005-7967(97)80005-8","article-title":"Habituation of cognitive and physiological arousal and social anxiety","volume":"35","author":"Eckman P. Scott","year":"1997","unstructured":"P. Scott Eckman and Glenn D. Shean. 1997. Habituation of cognitive and physiological arousal and social anxiety. Behav. Res. Ther. 35, 12 (1997), 1113\u20131121.","journal-title":"Behav. Res. Ther."},{"issue":"1","key":"e_1_3_1_25_2","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.biopsycho.2012.05.002","article-title":"Affective engagement for facial expressions and emotional scenes: The influence of social anxiety","volume":"91","author":"Wangelin Bethany C.","year":"2012","unstructured":"Bethany C. Wangelin, Margaret M. Bradley, Anna Kastner, and Peter J. Lang. 2012. Affective engagement for facial expressions and emotional scenes: The influence of social anxiety. Biol. Psychol. 91, 1 (2012), 103\u2013110.","journal-title":"Biol. Psychol."},{"key":"e_1_3_1_26_2","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1145\/2676690.2676694","volume-title":"Proceedings of the 5th Mexican Conference on Human\u2013Computer Interaction","author":"Miranda Dari\u00e9n","year":"2014","unstructured":"Dari\u00e9n Miranda, Marco Calder\u00f3n, and Jesus Favela. 2014. Anxiety detection using wearable monitoring. In Proceedings of the 5th Mexican Conference on Human\u2013Computer Interaction. 34\u201341."},{"issue":"1","key":"e_1_3_1_27_2","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1080\/10253890.2016.1265939","article-title":"Autonomic markers associated with generalized social phobia symptoms: Heart rate variability and salivary alpha-amylase","volume":"20","author":"Garcia-Rubio Maria J.","year":"2017","unstructured":"Maria J. Garcia-Rubio, Laura Espin, Vanesa Hidalgo, Alicia Salvador, and Jesus Gomez-Amor. 2017. Autonomic markers associated with generalized social phobia symptoms: Heart rate variability and salivary alpha-amylase. Stress 20, 1 (2017), 61\u201368.","journal-title":"Stress"},{"issue":"10","key":"e_1_3_1_28_2","doi-asserted-by":"crossref","first-page":"e32656","DOI":"10.2196\/32656","article-title":"Detecting subclinical social anxiety using physiological data from a wrist-worn wearable: Small-scale feasibility study","volume":"5","author":"Shaukat-Jali Ruksana","year":"2021","unstructured":"Ruksana Shaukat-Jali, Nejra van Zalk, David Edward Boyle, et\u00a0al. 2021. Detecting subclinical social anxiety using physiological data from a wrist-worn wearable: Small-scale feasibility study. JMIR Form. Res. 5, 10 (2021), e32656.","journal-title":"JMIR Form. Res."},{"issue":"4","key":"e_1_3_1_29_2","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1016\/j.janxdis.2008.10.002","article-title":"Differentiating social phobia from shyness","volume":"23","author":"Heiser Nancy A.","year":"2009","unstructured":"Nancy A. Heiser, Samuel M. Turner, Deborah C. Beidel, and Roxann Roberson-Nay. 2009. Differentiating social phobia from shyness. J. Anxiety Disord. 23, 4 (2009), 469\u2013476.","journal-title":"J. Anxiety Disord."},{"issue":"3","key":"e_1_3_1_30_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3610916","article-title":"Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals","volume":"7","author":"Wang Zhiyuan","year":"2023","unstructured":"Zhiyuan Wang, Maria A. Larrazabal, Mark Rucker, Emma R. Toner, Katharine E. Daniel, Shashwat Kumar, Mehdi Boukhechba, Bethany A. Teachman, and Laura E. Barnes. 2023. Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals. Proc. ACM Interact. Mob. Wear. Ubiq. Technol. 7, 3 (2023), 1\u201326.","journal-title":"Proc. ACM Interact. Mob. Wear. Ubiq. Technol."},{"issue":"2","key":"e_1_3_1_31_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3214284","article-title":"A weakly supervised learning framework for detecting social anxiety and depression","volume":"2","author":"Salekin Asif","year":"2018","unstructured":"Asif Salekin, Jeremy W. Eberle, Jeffrey J. Glenn, Bethany A. Teachman, and John A. Stankovic. 2018. A weakly supervised learning framework for detecting social anxiety and depression. Proc. ACM Interact. Mob. Wear. Ubiq. Technol. 2, 2 (2018), 1\u201326.","journal-title":"Proc. ACM Interact. Mob. Wear. Ubiq. Technol."},{"issue":"3","key":"e_1_3_1_32_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3130917","article-title":"Intelligent interruption management using electro dermal activity based physiological sensor for collaborative sensemaking","volume":"1","author":"Goyal Nitesh","year":"2017","unstructured":"Nitesh Goyal and Susan R. Fussell. 2017. Intelligent interruption management using electro dermal activity based physiological sensor for collaborative sensemaking. Proc. ACM Interact. Mob. Wear. Ubiq. Technol. 1, 3 (2017), 1\u201321.","journal-title":"Proc. ACM Interact. Mob. Wear. Ubiq. Technol."},{"issue":"4","key":"e_1_3_1_33_2","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1016\/j.brat.2004.03.010","article-title":"Communication and social skills in socially anxious and nonanxious individuals in the context of romantic relationships","volume":"43","author":"Wenzel Amy","year":"2005","unstructured":"Amy Wenzel, Jennie Graff-Dolezal, Marisa Macho, and Jennifer R. Brendle. 2005. Communication and social skills in socially anxious and nonanxious individuals in the context of romantic relationships. Behav. Res. Ther 43, 4 (2005), 505\u2013519.","journal-title":"Behav. Res. Ther"},{"key":"e_1_3_1_34_2","first-page":"515","article-title":"The social regulation of threat-related attentional disengagement in highly anxious individuals","volume":"7","author":"Maresh Erin L.","year":"2013","unstructured":"Erin L. Maresh, Lane Beckes, and James A. Coan. 2013. The social regulation of threat-related attentional disengagement in highly anxious individuals. Front. Hum. Neurosci. 7 (2013), 515.","journal-title":"Front. Hum. Neurosci."},{"issue":"1","key":"e_1_3_1_35_2","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1177\/2167702619867055","article-title":"Dating with social anxiety: An empirical examination of momentary anxiety and desire for future interaction","volume":"8","author":"Asher Maya","year":"2020","unstructured":"Maya Asher and Idan M. Aderka. 2020. Dating with social anxiety: An empirical examination of momentary anxiety and desire for future interaction. Clin. Psychol. Sci. 8, 1 (2020), 99\u2013110.","journal-title":"Clin. Psychol. Sci."},{"key":"e_1_3_1_36_2","first-page":"1","volume-title":"Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","author":"Lecamwasam Kimaya","year":"2023","unstructured":"Kimaya Lecamwasam, Samantha Gutierrez Arango, Nikhil Singh, Neska Elhaouij, Max Addae, and Rosalind Picard. 2023. Investigating the physiological and psychological effect of an interactive musical interface for stress and anxiety reduction. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. 1\u20139."},{"issue":"4","key":"e_1_3_1_37_2","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1016\/j.ridd.2012.02.006","article-title":"The tell-tale: What do heart rate; skin temperature and skin conductance reveal about emotions of people with severe and profound intellectual disabilities?","volume":"33","author":"Vos Pieter","year":"2012","unstructured":"Pieter Vos, Paul De Cock, Vera Munde, Katja Petry, Wim Van Den Noortgate, and Bea Maes. 2012. The tell-tale: What do heart rate; skin temperature and skin conductance reveal about emotions of people with severe and profound intellectual disabilities? Res. Dev. Disabil. 33, 4 (2012), 1117\u20131127.","journal-title":"Res. Dev. Disabil."},{"issue":"11","key":"e_1_3_1_38_2","doi-asserted-by":"crossref","first-page":"3843","DOI":"10.3390\/app10113843","article-title":"Datasets for cognitive load inference using wearable sensors and psychological traits","volume":"10","author":"Gjoreski Martin","year":"2020","unstructured":"Martin Gjoreski, Tine Kolenik, Timotej Knez, Mitja Lu\u0161trek, Matja\u017e Gams, Hristijan Gjoreski, and Veljko Pejovi\u0107. 2020. Datasets for cognitive load inference using wearable sensors and psychological traits. Appl. Sci. 10, 11 (2020), 3843.","journal-title":"Appl. Sci."},{"issue":"6","key":"e_1_3_1_39_2","doi-asserted-by":"crossref","first-page":"7162","DOI":"10.1109\/JSEN.2020.3046259","article-title":"Potential applications of mobile and wearable devices for psychological support during the COVID-19 pandemic: A review","volume":"21","author":"Ueafuea Kawisara","year":"2020","unstructured":"Kawisara Ueafuea, Chiraphat Boonnag, Thapanun Sudhawiyangkul, Pitshaporn Leelaarporn, Ameen Gulistan, Wei Chen, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn, and Supanida Piyayotai. 2020. Potential applications of mobile and wearable devices for psychological support during the COVID-19 pandemic: A review. IEEE Sens. J. 21, 6 (2020), 7162\u20137178.","journal-title":"IEEE Sens. J."},{"key":"e_1_3_1_40_2","doi-asserted-by":"crossref","first-page":"1699","DOI":"10.3389\/fphar.2019.01699","article-title":"Sensing technology to monitor behavioral and psychological symptoms and to assess treatment response in people with dementia. A systematic review","volume":"10","author":"Husebo Bettina S.","year":"2020","unstructured":"Bettina S. Husebo, Hannah L. Heintz, Line I. Berge, Praise Owoyemi, Aniqa T. Rahman, and Ipsit V. Vahia. 2020. Sensing technology to monitor behavioral and psychological symptoms and to assess treatment response in people with dementia. A systematic review. Front. Pharmacol. 10 (2020), 1699.","journal-title":"Front. Pharmacol."},{"key":"e_1_3_1_41_2","doi-asserted-by":"crossref","first-page":"1155812","DOI":"10.3389\/fpsyt.2023.1155812","article-title":"Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures","volume":"14","author":"Al-Ezzi Abdulhakim","year":"2023","unstructured":"Abdulhakim Al-Ezzi, Nidal Kamel, Amal A. Al-Shargabi, Fares Al-Shargie, Alaa Al-Shargabi, Norashikin Yahya, and Mohammed Isam Al-Hiyali. 2023. Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures. Front. Psychiatr. 14 (2023), 1155812.","journal-title":"Front. Psychiatr."},{"key":"e_1_3_1_42_2","doi-asserted-by":"crossref","first-page":"105408","DOI":"10.1016\/j.cmpb.2020.105408","article-title":"Towards an anxiety and stress recognition system for academic environments based on physiological features","volume":"190","author":"Rodr\u00edguez-Arce Jorge","year":"2020","unstructured":"Jorge Rodr\u00edguez-Arce, Liliana Lara-Flores, Otniel Portillo-Rodr\u00edguez, and Rigoberto Mart\u00ednez-M\u00e9ndez. 2020. Towards an anxiety and stress recognition system for academic environments based on physiological features. Comput. Methods Progr. Biomed. 190 (2020), 105408.","journal-title":"Comput. Methods Progr. Biomed."},{"key":"e_1_3_1_43_2","doi-asserted-by":"crossref","DOI":"10.1109\/LSENS.2023.3274668","article-title":"Detection of different stages of anxiety from single channel wearable ecg senor signal using fourier-bessel domain adaptive wavelet transform","author":"Tripathy Rajesh Kumar","year":"2023","unstructured":"Rajesh Kumar Tripathy, Dinesh Kumar Dash, Samit Kumar Ghosh, and Ram Bilas Pachori. 2023. Detection of different stages of anxiety from single channel wearable ecg senor signal using fourier-bessel domain adaptive wavelet transform. IEEE Sens. Lett. 7, 5 (2023), 1\u20134.","journal-title":"IEEE Sens. Lett."},{"issue":"2","key":"e_1_3_1_44_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3513263","article-title":"Automatic assessment of depression and anxiety through encoding pupil-wave from HCI in VR scenes","volume":"20","author":"Li Mi","year":"2023","unstructured":"Mi Li, Wei Zhang, Bin Hu, Jiaming Kang, Yuqi Wang, and Shengfu Lu. 2023. Automatic assessment of depression and anxiety through encoding pupil-wave from HCI in VR scenes. ACM Trans. Multimedia Comput. Commun. Appl. 20, 2 (2023), 1\u201322.","journal-title":"ACM Trans. Multimedia Comput. Commun. Appl."},{"issue":"01","key":"e_1_3_1_45_2","doi-asserted-by":"crossref","first-page":"55","DOI":"10.3414\/ME15-02-0012","article-title":"Detecting anxiety states when caring for people with dementia","volume":"56","author":"Miranda Dari\u00e9n","year":"2017","unstructured":"Dari\u00e9n Miranda, Jes\u00fas Favela, and Bert Arnrich. 2017. Detecting anxiety states when caring for people with dementia. Methods Inf. Med. 56, 01 (2017), 55\u201362.","journal-title":"Methods Inf. Med."},{"key":"e_1_3_1_46_2","first-page":"1","volume-title":"Proceedings of the International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET\u201918)","author":"Adheena M. A.","year":"2018","unstructured":"M. A. Adheena, N. Sindhu, and S. Jerritta. 2018. Physiological detection of anxiety. In Proceedings of the International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET\u201918). IEEE, 1\u20135."},{"key":"e_1_3_1_47_2","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1016\/j.psychres.2019.01.103","article-title":"Evaluation of the social phobia scale and social interaction anxiety scale as assessments of performance and interaction anxiety","volume":"273","author":"Thompson Trevor","year":"2019","unstructured":"Trevor Thompson, Marta Kaminska, Christopher Marshall, and Nejra Van Zalk. 2019. Evaluation of the social phobia scale and social interaction anxiety scale as assessments of performance and interaction anxiety. Psychiatr. Res. 273 (2019), 725\u2013731.","journal-title":"Psychiatr. Res."},{"issue":"1","key":"e_1_3_1_48_2","doi-asserted-by":"crossref","first-page":"12","DOI":"10.3126\/hprospect.v17i1.20351","article-title":"Mental health in low-and middle income countries (LMICs): Going beyond the need for funding","volume":"17","author":"Alloh Folashade T.","year":"2018","unstructured":"Folashade T. Alloh, Pramod Regmi, Igoche Onche, Edwin van Teijlingen, and Steven Trenoweth. 2018. Mental health in low-and middle income countries (LMICs): Going beyond the need for funding. Health Prospect: J. Publ. Health 17, 1 (2018), 12\u201317.","journal-title":"Health Prospect: J. Publ. Health"},{"key":"e_1_3_1_49_2","doi-asserted-by":"crossref","first-page":"117863291769435","DOI":"10.1177\/1178632917694350","article-title":"Mental health service provision in low-and middle-income countries","volume":"10","author":"Rathod Shanaya","year":"2017","unstructured":"Shanaya Rathod, Narsimha Pinninti, Muhammed Irfan, Paul Gorczynski, Pranay Rathod, Lina Gega, and Farooq Naeem. 2017. Mental health service provision in low-and middle-income countries. Health Serv. Insights 10 (2017), 1178632917694350.","journal-title":"Health Serv. Insights"},{"issue":"2","key":"e_1_3_1_50_2","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.wpsyc.2012.05.006","article-title":"Positive mental health: Is there a cross-cultural definition?","volume":"11","author":"Vaillant George E.","year":"2012","unstructured":"George E. Vaillant. 2012. Positive mental health: Is there a cross-cultural definition? World Psychiatr. 11, 2 (2012), 93\u201399.","journal-title":"World Psychiatr."},{"key":"e_1_3_1_51_2","first-page":"1","article-title":"Introduction to culture and psychopathology","author":"Eshun Sussie","year":"2009","unstructured":"Sussie Eshun and Regan A. R. Gurung. 2009. Introduction to culture and psychopathology. In Culture and Mental Health: Sociocultural Influences, Theory, and Practice (2009), 1\u201317.","journal-title":"Culture and Mental Health: Sociocultural Influences, Theory, and Practice"},{"issue":"1","key":"e_1_3_1_52_2","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1159\/000119004","article-title":"The \u2018trier social stress test\u2019\u2013a tool for investigating psychobiological stress responses in a laboratory setting","volume":"28","author":"Kirschbaum Clemens","year":"1993","unstructured":"Clemens Kirschbaum, Karl-Martin Pirke, and Dirk H. Hellhammer. 1993. The \u2018trier social stress test\u2019\u2013a tool for investigating psychobiological stress responses in a laboratory setting. Neuropsychobiology 28, 1-2 (1993), 76\u201381.","journal-title":"Neuropsychobiology"},{"issue":"9","key":"e_1_3_1_53_2","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1109\/JSEN.2010.2045498","article-title":"SHIMMER\u2122\u2013A wireless sensor platform for noninvasive biomedical research","volume":"10","author":"Burns Adrian","year":"2010","unstructured":"Adrian Burns, Barry R. Greene, Michael J. McGrath, Terrance J. O\u2019Shea, Benjamin Kuris, Steven M. Ayer, Florin Stroiescu, and Victor Cionca. 2010. SHIMMER\u2122\u2013A wireless sensor platform for noninvasive biomedical research. IEEE Sens. J. 10, 9 (2010), 1527\u20131534.","journal-title":"IEEE Sens. J."},{"issue":"4","key":"e_1_3_1_54_2","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1192\/bjp.176.4.379","article-title":"Psychometric properties of the Social Phobia Inventory (SPIN): New self-rating scale","volume":"176","author":"Connor Kathryn M.","year":"2000","unstructured":"Kathryn M. Connor, Jonathan R. T. Davidson, L Erik Churchill, Andrew Sherwood, Richard H. Weisler, and Edna Foa. 2000. Psychometric properties of the Social Phobia Inventory (SPIN): New self-rating scale. Br. J. Psychiatr. 176, 4 (2000), 379\u2013386.","journal-title":"Br. J. Psychiatr."},{"key":"e_1_3_1_55_2","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1109\/CIC.2002.1166717","volume-title":"Computers in Cardiology","author":"Hamilton Pat","year":"2002","unstructured":"Pat Hamilton. 2002. Open source ECG analysis. In Computers in Cardiology. IEEE, 101\u2013104."},{"key":"e_1_3_1_56_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/JTEHM.2018.2878000","article-title":"An open-source feature extraction tool for the analysis of peripheral physiological data","volume":"6","author":"Nabian Mohsen","year":"2018","unstructured":"Mohsen Nabian, Yu Yin, Jolie Wormwood, Karen S. Quigley, Lisa F. Barrett, and Sarah Ostadabbas. 2018. An open-source feature extraction tool for the analysis of peripheral physiological data. IEEE J. Transl. Eng. Health Med. 6 (2018), 1\u201311.","journal-title":"IEEE J. Transl. Eng. Health Med."},{"key":"e_1_3_1_57_2","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1145\/3395035.3425203","volume-title":"Companion Publication of the International Conference on Multimodal Interaction","author":"Urrestilla Nerea","year":"2020","unstructured":"Nerea Urrestilla and David St-Onge. 2020. Measuring cognitive load: Heart-rate variability and pupillometry assessment. In Companion Publication of the International Conference on Multimodal Interaction. 405\u2013410."},{"key":"e_1_3_1_58_2","doi-asserted-by":"crossref","first-page":"258","DOI":"10.3389\/fpubh.2017.00258","article-title":"An overview of heart rate variability metrics and norms","author":"Shaffer Fred","year":"2017","unstructured":"Fred Shaffer and Jay P. Ginsberg. 2017. An overview of heart rate variability metrics and norms. Front. Publ. Health (2017), 258.","journal-title":"Front. Publ. Health"},{"issue":"4","key":"e_1_3_1_59_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3432220","article-title":"Evaluating the reproducibility of physiological stress detection models","volume":"4","author":"Mishra Varun","year":"2020","unstructured":"Varun Mishra, Sougata Sen, Grace Chen, Tian Hao, Jeffrey Rogers, Ching-Hua Chen, and David Kotz. 2020. Evaluating the reproducibility of physiological stress detection models. Proc. ACM Interact. Mob. Wear. Ubiq. Technol. 4, 4 (2020), 1\u201329.","journal-title":"Proc. ACM Interact. Mob. Wear. Ubiq. Technol."},{"issue":"4","key":"e_1_3_1_60_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3432210","article-title":"Automated detection of stressful conversations using wearable physiological and inertial sensors","volume":"4","author":"Bari Rummana","year":"2020","unstructured":"Rummana Bari, Md Mahbubur Rahman, Nazir Saleheen, Megan Battles Parsons, Eugene H. Buder, and Santosh Kumar. 2020. Automated detection of stressful conversations using wearable physiological and inertial sensors. Proc. ACM Interact. Mob. Wear. Ubiq. Technol. 4, 4 (2020), 1\u201323.","journal-title":"Proc. ACM Interact. Mob. Wear. Ubiq. Technol."},{"key":"e_1_3_1_61_2","first-page":"1","volume-title":"Proceedings of the CHI Conference on Human Factors in Computing Systems","author":"Babaei Ebrahim","year":"2021","unstructured":"Ebrahim Babaei, Benjamin Tag, Tilman Dingler, and Eduardo Velloso. 2021. A critique of electrodermal activity practices at chi. In Proceedings of the CHI Conference on Human Factors in Computing Systems. 1\u201314."},{"key":"e_1_3_1_62_2","first-page":"1","volume-title":"Proceedings of the CHI Conference on Human Factors in Computing Systems","author":"Schulz Peter","year":"2019","unstructured":"Peter Schulz, Dmitry Alexandrovsky, Felix Putze, Rainer Malaka, and Johannes Sch\u00f6ning. 2019. The role of physical props in vr climbing environments. In Proceedings of the CHI Conference on Human Factors in Computing Systems. 1\u201313."},{"key":"e_1_3_1_63_2","article-title":"NeuroKit2: A Python toolbox for neurophysiological signal processing","author":"Makowski Dominique","year":"2021","unstructured":"Dominique Makowski, Tam Pham, Zen J. Lau, Jan C. Brammer, Fran\u00e7ois Lespinasse, Hung Pham, Christopher Sch\u00f6lzel, and SH Annabel Chen. 2021. NeuroKit2: A Python toolbox for neurophysiological signal processing. Behav. Res. Methods 53, 4 (2021), 1\u20138.","journal-title":"Behav. Res. Methods"},{"key":"e_1_3_1_64_2","volume-title":"AIP Conference Proceedings","author":"Djawad Yasser Abd","year":"2019","unstructured":"Yasser Abd Djawad, Saharuddin, Hendra Jaya, Ridwansyah, and Mushawwir Thayeb. 2019. Proficiency test analysis of a simple electro-dermal activity measurement technique for measuring an emotional task. In AIP Conference Proceedings. 2155, 1 (2019), 020050."},{"issue":"12","key":"e_1_3_1_65_2","doi-asserted-by":"crossref","first-page":"e0189875","DOI":"10.1371\/journal.pone.0189875","article-title":"Accurate and fast feature selection workflow for high-dimensional omics data","volume":"12","author":"Perez-Riverol Yasset","year":"2017","unstructured":"Yasset Perez-Riverol, Max Kuhn, Juan Antonio Vizca\u00edno, Marc-Phillip Hitz, and Enrique Audain. 2017. Accurate and fast feature selection workflow for high-dimensional omics data. PLoS One 12, 12 (2017), e0189875.","journal-title":"PLoS One"},{"issue":"3","key":"e_1_3_1_66_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3411823","article-title":"Predicting subjective measures of social anxiety from sparsely collected mobile sensor data","volume":"4","author":"Rashid Haroon","year":"2020","unstructured":"Haroon Rashid, Sanjana Mendu, Katharine E. Daniel, Miranda L. Beltzer, Bethany A. Teachman, Mehdi Boukhechba, and Laura E. Barnes. 2020. Predicting subjective measures of social anxiety from sparsely collected mobile sensor data. Proc. ACM Interact. Mob. Wear. Ubiq. Technol. 4, 3 (2020), 1\u201324.","journal-title":"Proc. ACM Interact. Mob. Wear. Ubiq. Technol."},{"issue":"7","key":"e_1_3_1_67_2","doi-asserted-by":"crossref","first-page":"2217","DOI":"10.1093\/bioinformatics\/btz898","article-title":"The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination","volume":"36","author":"McGurk Kathryn A.","year":"2020","unstructured":"Kathryn A. McGurk, Arianna Dagliati, Davide Chiasserini, Dave Lee, Darren Plant, Ivona Baricevic-Jones, Janet Kelsall, Rachael Eineman, Rachel Reed, Bethany Geary, et\u00a0al. 2020. The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination. Bioinformatics 36, 7 (2020), 2217\u20132223.","journal-title":"Bioinformatics"},{"key":"e_1_3_1_68_2","doi-asserted-by":"crossref","DOI":"10.1002\/9781118762585","volume-title":"Statistical Hypothesis Testing with SAS and R","author":"Taeger Dirk","year":"2014","unstructured":"Dirk Taeger and Sonja Kuhnt. 2014. Statistical Hypothesis Testing with SAS and R. John Wiley & Sons."},{"issue":"2","key":"e_1_3_1_69_2","doi-asserted-by":"crossref","first-page":"49","DOI":"10.26502\/jppd.2572-519X0040","article-title":"Validation of the social phobia inventory (Spin) in Nigeria","volume":"2","author":"Chukwujekwu D. C.","year":"2018","unstructured":"D. C. Chukwujekwu and E. O. Olose. 2018. Validation of the social phobia inventory (Spin) in Nigeria. J. Psychiatr. Psychiatr. Disord. 2, 2 (2018), 49\u201354.","journal-title":"J. Psychiatr. Psychiatr. Disord."},{"key":"e_1_3_1_70_2","volume-title":"The Primary Care Toolkit for Anxiety and Related Disorders: Quick, Practical Solutions for Assessment and Management","author":"Lauria-Horner Bianca","year":"2016","unstructured":"Bianca Lauria-Horner. 2016. The Primary Care Toolkit for Anxiety and Related Disorders: Quick, Practical Solutions for Assessment and Management. Brush Education."},{"issue":"3","key":"e_1_3_1_71_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3414118","article-title":"Detecting job promotion in information workers using mobile sensing","volume":"4","author":"Nepal Subigya","year":"2020","unstructured":"Subigya Nepal, Shayan Mirjafari, Gonzalo J. Martinez, Pino Audia, Aaron Striegel, and Andrew T. Campbell. 2020. Detecting job promotion in information workers using mobile sensing. Proc. ACM Interact. Mob. Wear. Ubiq. Technol. 4, 3 (2020), 1\u201328.","journal-title":"Proc. ACM Interact. Mob. Wear. Ubiq. Technol."},{"issue":"1","key":"e_1_3_1_72_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/026999300378978","article-title":"Exploring the strength of association between the components of emotion syndromes: The case of surprise","volume":"14","author":"Reisenzein Rainer","year":"2000","unstructured":"Rainer Reisenzein. 2000. Exploring the strength of association between the components of emotion syndromes: The case of surprise. Cogn. Emotion 14, 1 (2000), 1\u201338.","journal-title":"Cogn. Emotion"},{"issue":"5","key":"e_1_3_1_73_2","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1080\/02699930341000112","article-title":"Is there less to social anxiety than meets the eye? Emotion experience, expression, and bodily responding","volume":"18","author":"Mauss Iris","year":"2004","unstructured":"Iris Mauss, Frank Wilhelm, and James Gross. 2004. Is there less to social anxiety than meets the eye? Emotion experience, expression, and bodily responding. Cogn. Emotion 18, 5 (2004), 631\u2013642.","journal-title":"Cogn. Emotion"},{"issue":"1","key":"e_1_3_1_74_2","first-page":"1","article-title":"Social anxiety increases visible anxiety signs during social encounters but does not impair performance","volume":"7","author":"Thompson Trevor","year":"2019","unstructured":"Trevor Thompson, Nejra Van Zalk, Christopher Marshall, Melanie Sargeant, and Brendon Stubbs. 2019. Social anxiety increases visible anxiety signs during social encounters but does not impair performance. BMC Psychol. 7, 1 (2019), 1\u20139.","journal-title":"BMC Psychol."},{"key":"e_1_3_1_75_2","first-page":"80","article-title":"Anxiety disorders are associated with reduced heart rate variability: A meta-analysis","volume":"5","author":"Chalmers John A.","year":"2014","unstructured":"John A. Chalmers, Daniel S. Quintana, Maree J-Anne Abbott, and Andrew H. Kemp. 2014. Anxiety disorders are associated with reduced heart rate variability: A meta-analysis. Front. Psychiatr. 5 (2014), 80.","journal-title":"Front. Psychiatr."},{"issue":"7","key":"e_1_3_1_76_2","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1111\/pcn.13356","article-title":"Heart rate variability in patients with anxiety disorders: A systematic review and meta-analysis","volume":"76","author":"Cheng Ying-Chih","year":"2022","unstructured":"Ying-Chih Cheng, Min-I. Su, Cheng-Wei Liu, Yu-Chen Huang, and Wei-Lieh Huang. 2022. Heart rate variability in patients with anxiety disorders: A systematic review and meta-analysis. Psychiatr. Clin. Neurosci. 76, 7 (2022), 292\u2013302.","journal-title":"Psychiatr. Clin. Neurosci."},{"issue":"1","key":"e_1_3_1_77_2","first-page":"1","article-title":"Heart rate variability change during a stressful cognitive task in individuals with anxiety and control participants","volume":"9","author":"Held Judith","year":"2021","unstructured":"Judith Held, Andreea V\u00eesl\u0103, Christine Wolfer, Nadine Messerli-B\u00fcrgy, and Christoph Fl\u00fcckiger. 2021. Heart rate variability change during a stressful cognitive task in individuals with anxiety and control participants. BMC Psychol. 9, 1 (2021), 1\u20138.","journal-title":"BMC Psychol."},{"key":"e_1_3_1_78_2","first-page":"200","volume-title":"Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom)","author":"Butkow Kayla-Jade","year":"2023","unstructured":"Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, and Cecilia Mascolo. 2023. hEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones. In Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 200\u2013209."},{"key":"e_1_3_1_79_2","doi-asserted-by":"crossref","first-page":"101600","DOI":"10.1016\/j.jbtep.2020.101600","article-title":"Social anxiety is associated with heart rate but not gaze behavior in a real social interaction","volume":"70","author":"R\u00f6sler Lara","year":"2021","unstructured":"Lara R\u00f6sler, Stefan G\u00f6hring, Michael Strunz, and Matthias Gamer. 2021. Social anxiety is associated with heart rate but not gaze behavior in a real social interaction. J. Behav. Ther. Exp. Psychiatr. 70 (2021), 101600.","journal-title":"J. Behav. Ther. Exp. Psychiatr."},{"key":"e_1_3_1_80_2","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.psychres.2017.05.044","article-title":"Psychophysiological and self-reported reactivity associated with social anxiety and public speaking fear symptoms: Effects of fear versus distress","volume":"255","author":"Panayiotou Georgia","year":"2017","unstructured":"Georgia Panayiotou, Maria Karekla, Dora Georgiou, Elena Constantinou, and Michaela Paraskeva-Siamata. 2017. Psychophysiological and self-reported reactivity associated with social anxiety and public speaking fear symptoms: Effects of fear versus distress. Psychiatr. Res. 255 (2017), 278\u2013286.","journal-title":"Psychiatr. Res."},{"key":"e_1_3_1_81_2","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.psyneuen.2018.07.023","article-title":"Low estradiol is linked to increased skin conductance, but not subjective anxiety or affect, in response to an impromptu speech task","volume":"98","author":"White Emily C.","year":"2018","unstructured":"Emily C. White and Bronwyn M. Graham. 2018. Low estradiol is linked to increased skin conductance, but not subjective anxiety or affect, in response to an impromptu speech task. Psychoneuroendocrinology 98 (2018), 30\u201338.","journal-title":"Psychoneuroendocrinology"},{"key":"e_1_3_1_82_2","article-title":"Comparative Assessment of Smartwatch Photoplethysmography Accuracy","author":"Jaiswal Pranay","year":"2023","unstructured":"Pranay Jaiswal, Nilesh Kumar Sahu, and Haroon R. Lone. 2023. Comparative Assessment of Smartwatch Photoplethysmography Accuracy. IEEE Sens. Lett. 8, 1 (2023), 1\u20134.","journal-title":"IEEE Sens. Lett."},{"issue":"6","key":"e_1_3_1_83_2","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.3390\/sym14061139","article-title":"Peak detection and HRV feature evaluation on ECG and PPG signals","volume":"14","author":"Esgalhado Filipa","year":"2022","unstructured":"Filipa Esgalhado, Arnaldo Batista, Valentina Vassilenko, Sara Russo, and Manuel Ortigueira. 2022. Peak detection and HRV feature evaluation on ECG and PPG signals. Symmetry 14, 6 (2022), 1139.","journal-title":"Symmetry"},{"issue":"4","key":"e_1_3_1_84_2","doi-asserted-by":"crossref","first-page":"04NT01","DOI":"10.1088\/1361-6579\/ab840a","article-title":"Feasible assessment of recovery and cardiovascular health: Accuracy of nocturnal HR and HRV assessed via ring PPG in comparison to medical grade ECG","volume":"41","author":"Kinnunen Hannu","year":"2020","unstructured":"Hannu Kinnunen, Aleksi Rantanen, Tuomas Kentt\u00e4, and Heli Koskim\u00e4ki. 2020. Feasible assessment of recovery and cardiovascular health: Accuracy of nocturnal HR and HRV assessed via ring PPG in comparison to medical grade ECG. Physiol. Meas. 41, 4 (2020), 04NT01.","journal-title":"Physiol. Meas."},{"issue":"3","key":"e_1_3_1_85_2","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1093\/ehjdh\/ztad022","article-title":"Smartwatch-derived heart rate variability: A head-to-head comparison with the gold standard in cardiovascular disease","volume":"4","author":"Theurl Fabian","year":"2023","unstructured":"Fabian Theurl, Michael Schreinlechner, Nikolay Sappler, Michael Toifl, Theresa Dolejsi, Florian Hofer, Celine Massmann, Christian Steinbring, Silvia Komarek, Kurt M\u00f6lgg, et\u00a0al. 2023. Smartwatch-derived heart rate variability: A head-to-head comparison with the gold standard in cardiovascular disease. Eur. Heart J.\u2013Digit. Health 4, 3 (2023), 155\u2013164.","journal-title":"Eur. Heart J.\u2013Digit. Health"}],"container-title":["ACM Journal on Computing and Sustainable Societies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3663671","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3663671","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:57:59Z","timestamp":1750294679000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3663671"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,20]]},"references-count":84,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,6,30]]}},"alternative-id":["10.1145\/3663671"],"URL":"https:\/\/doi.org\/10.1145\/3663671","relation":{},"ISSN":["2834-5533"],"issn-type":[{"value":"2834-5533","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,20]]},"assertion":[{"value":"2024-02-16","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-04-12","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-06-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}