Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing
Wang, Rui, Wang, Weichen, daSilva, Alex, Huckins, Jeremy F., Kelley, William M., Heatherton, Todd F., Campbell, Andrew T.·2018·Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
DOI 10.1145/3191775
Cited by (338)
Items 201–300 of 338
- Mind and Body: The Complex Role of Social Resources in Understanding and Managing Depression in Older AdultsSeraphina Yong, Min-Wei Hung, Chien Wen Yuan, Chih‐Chiang Chiu, Ming‐Chyi Huang, Chuang-Wen You · 2023 · Proceedings of the ACM on Human-Computer Interaction
- A Review on Mood Assessment Using SmartphonesZhanna Sarsenbayeva, Charlie Fleming, Benjamin Tag, Anusha Indrajith Withana, Niels van Berkel, Alistair Lee McEwan · 2023 · Lecture notes in computer science
- Using Wearable and Structured Emotion-Sensing-Graphs for Assessment of Depressive Symptoms in Patients Undergoing TreatmentDaili Yang, Yunge Li, Bin Gao, Wai Lok Woo, Yiwei Zhang, Keith Maurice Kendrick, Lizhu Luo · 2023 · IEEE Sensors Journal
- Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety ScreeningML Tlachac, Michael V. Heinz, Miranda Reisch, Samuel S. Ogden · 2024 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom ImprovementSoumyashree Sahoo, Chinmaey Shende, Md Zakir Hossain, Parit A. Patel, Xinyu Wang, Md Ishtyaq Mahmud, Jinbo Bi, Jayesh Kamath, Alexander C. Russell, Dongjin Song et al. · 2024 · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies
- Predicting Depressive Symptoms Using GPS-Based Regional Data in Germany With the CORONA HEALTH App During the COVID-19 Pandemic: Cross-Sectional StudyJohanna-Sophie Edler, Michael R. Winter, Holger Steinmetz, Caroline Cohrdes, Harald Baumeister, Rüdiger C. Pryss · 2024 · Interactive Journal of Medical Research
- RecogHypertension: early recognition of hypertension based on heart rate variabilityHongbo Ni, Zhuang Li, Ziqiang Shao, Mingzhe Guo, Junqi Liu · 2021 · Journal of Ambient Intelligence and Humanized Computing
- Emotion-aware Human–Robot Interaction and Social RobotsLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Distinguishing the Effect of Time Spent at Home during COVID-19 Pandemic on the Mental Health of Urban and Suburban College Students Using Cell Phone GeolocationPelin Ayranci, César Bandera, NhatHai Phan, Ruoming Jin, Dong Li, Deric R. Kenne · 2022 · International Journal of Environmental Research and Public Health
- Me in the Wild: An Exploratory Study Using Smartphones to Detect the Onset of DepressionKennedy Opoku Asare, Aku Visuri, Julio Vega, Denzil Ferreira · 2022 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Detecting Depression, Anxiety and Mental Stress in One Sequential Model with Multi-task LearningShen Zhang, Mei Tu, Yueru Yan, Yimeng Zhuang, Likun Ge, Gao‐Xia Wei · 2022 · Lecture notes in computer science
- Packets-to-Prediction: An Unobtrusive Mechanism for Identifying Coarse-Grained Sleep Patterns with WiFi MAC Layer TrafficDheryta Jaisinghani, Nishtha Phutela · 2023 · Sensors
- Predicting Mental Health Outcomes Using Wearable Device Data and Machine LearningNikhil Sanjay Suryawanshi · 2024 · International Journal of Innovative Science and Research Technology (IJISRT)
- Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and PredictionHoma Hosseinmardi, Amir Ghasemian, Kristina Lerman, Shrikanth S. Narayanan, Emilio Ferrara · 2023 · IEEE International Conference on Healthcare Informatics (ICHI)
- An m-Health app that goes beyond screen time applicationsSarthak Patel, Kalyan Sasidhar, Maitri Vaghela, Parth Katrodiya, Rekha Wagani · 2022 · IEEE Region Humanitarian Technology Conference
- Privacy-Preserving Social Ambiance Measure From Free-Living Speech Associates With Chronic Depressive and Psychotic DisordersWenwan Chen, Ashutosh Sabharwal, Erica W. Taylor, Ankit Patel, Nidal J. Moukaddam · 2021 · Frontiers in Psychiatry
- Predicting Depression Treatment Outcome Using Daily Step Count Sensory DataMd. Zakir Hossain, Soumyashree Sahoo, Chinmaey Shende, Parit Patel, Reynaldo Morillo, Zijie Pan, Xinyu Wang, Jinbo Bi, Jayesh Kamath, Alexander C. Russell et al. · 2025 · ACM Transactions on Computing for Healthcare
- Use of physiological signals, behavioral data, and processing algorithms in electronic devices and mobile applications for diagnosing depression, anxiety, and stressCamila Alexandra Castillo Zorro, Gregory A. Fonzo, William D. Moscoso-Barrera · 2026 · Digital Health
- Smart devices and stress level detection: Balancing machine learning model complexity and device intrusivenessGema Bello Orgaz, H. Menéndez, Francisco Quintana-Quiroga, Alberto Díaz-Álvarez · 2026 · Biomedical Signal Processing and Control
- Building an open-source community to enhance autonomic nervous system signal analysis: DBDP-autonomicJessilyn Dunn, Varun Mishra, Md Mobashir Hasan Shandhi, Hayoung Jeong, Natasha Yamane, Yuna Watanabe, Bill B. Chen, Matthew S. Goodwin · 2025 · Frontiers in Digital Health
- Enhancing the accuracy of mental health assessments through the integration of self-report and objective measures: A convergence study utilizing biosignals and 14-day wearable dataNayeon Kwon, Dongwon Lee, Soree Hwang, Soomin Yang, Inchan Youn, Hyuk-June Moon, Sungmin Han · 2025 · Acta Psychologica
- Understanding Human Daily Experience Through Continuous Sensing: ETRI Lifelog Dataset 2024Se Won Oh, Hyuntae Jeong, Seungeun Chung, J. Lim, Kyoung Ju Noh, Sunkyung Lee, Gyuwon Jung · 2025 · International Conference on Information and Communication Technology Convergence (ICTC)
- Design Opportunities and Challenges for App-Based Telemental Health Technologies for Teens and Young AdultsJessica Annette Pater, Amanda Coupe, Andrew Miller, Lauren E. Reining, Michelle A. Drouin, Tammy Toscos · 2020 · International Conference on Pervasive Computing Technologies for Healthcare
- Ubiquitous computing for person-environment research: Opportunities, considerations, and future directionsSumer Sumeet Vaid, Saeed Abdullah, Edison Thomaz, Gabriella M. Harari · 2021 · Elsevier eBooks
- Smartphone Mediated Tracking and Analysis of Sleep Patterns in Indian College StudentsMaitri Vaghela, Kalyan Sasidhar · 2022 · Human-Centric Intelligent Systems
- Health Crowd Sensing and Computing: From Crowdsourced Digital Health Footprints to Population Health IntelligenceJiangtao Wang, Long Fei Chen, Xu Wang · 2023 · Wireless networks
- Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized ModelingTahsin Mullick, Sam Shaaban, Ana Radović, Afsaneh Doryab · 2024 · JMIR AI
- Detecting Subtle Signs of School Attendance Issues Using Smartphone-Based SensingViktor Erdélyi, Teruhiro Mizumoto, Yuichiro Kitai, Daiki Ishimaru, Hiroyoshi Adachi, Teruo Higashino Y, Manabu Ikeda · 2024 · IEEE Access
- Smartphones Trigger Depression: A Review of Meta AnalysisJessica Christina Widhigdo · 2020 · PSIKODIMENSIA
- Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College StudentsJeremy F. Huckins, Alex W. daSilva, Rui Wang, Weichen Wang, Elin L. Hedlund, Eilis I. Murphy, Richard B. Lopez, Courtney Rogers, Paul E. Holtzheimer, William M. Kelley et al. · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
- Modeling patterns of smartphone usage and their relationship to cognitive healthJonas Rauber, Emily B. Fox, Leon A. Gatys · 2019 · arXiv (Cornell University)
- Remote measurement technologies for depression in young people: A realist review with meaningful lived experience involvement and recommendations for future research and practiceAnnabel E. L. Walsh, Georgia Naughton, Thomas Sharpe, Zuzanna Zajkowska, Mantas Kazimieras Malys, Alastair C. van Heerden, Valeria Mondelli · 2022 · medRxiv
- The role of cognition in mediating the relationship between media use and health in a media saturated worldBenoît Bediou, Katarzyna Wac · 2022 · Elsevier eBooks
- Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a Countrywide StudyMd. Sabbir Ahmed, Tanvir Hasan, Salekul Islam, Nova Ahmed · 2024 · JMIR Research Protocols
- Smartphone-Based Psychological Sensing: A Large-Scale Study on the Impact of Extreme IsolationZhaohui Yuan, Yuqing Cao, Zhong Chen · 2024 · Information Technology And Control
- Student Mental Health Screening with Text Message MetadataML Tlachac, Samuel S. Ogden · 2024 · International Conference on Machine Learning and Applications
- A Methodology and a Platform for High-quality Rich Personal Data CollectionIvan Kayongo, Leonardo Javier Malcotti, Haonan Zhao, Fausto Giunchiglia · 2025 · The European Journal on Artificial Intelligence
- Radio Frequency Sensing–Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning ModelsNajah Abed Abuali, Ihtesham Jadoon, Farman Ullah, Mohammad Hayajneh, Shayma Alkobaisi · 2025 · IEEE Open Journal of the Computer Society
- Trackognize®: A smartphone-based tool for continuous monitoring of cognitive functioning – Willingness of people with epilepsy to use itSarah Al-Haj Mustafa, Randi D. von Wrede, Christoph Helmstaedter · 2025 · Epilepsy & Behavior
- An Optimized Depression Detection Technique Using Behavioral Analysis and Machine LearningNikita Gajbhiye, Karan Kumar Singh · 2025 · International Conference on Recent Advances in Information Technology
- StudentSense: Primary outcomes of a smartphone digital phenotyping study of university students in AustraliaTianyi Zhang, Melissa Anne Russell, Vassilis Kostakos, Simon D’Alfonso · 2025 · Computers in Human Behavior Reports
- Toward Detecting Postpartum Depression Using Passive Mobile Sensing: Exploratory AnalysisJia Tang, Xiuwen Gu, Akihito Taya, Kaoru Sezaki, Yuuki Nishiyama · 2025 · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
- mRiskMd Azim Ullah, Soujanya Chatterjee, Christopher P. Fagundes, Cho Y. Lam, Inbal Billie Nahum-Shani, James Matthew Rehg, David W. Wetter, Santosh Kumar · 2022 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Smartwatch-Based Sensing Framework for Continuous Data Collection: Design and ImplementationYuuki Nishiyama, Kaoru Sezaki · 2023 · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
- Underbagging-Based Ensemble Learning approach to Detection of Depression from Smartphone LogsKota Sakaguchi, Takuto Sakuma, Shōhei Kato · 2023 · IEEE Global Conference on Consumer Electronics (GCCE)
- Virtual reality analytics map (VRAM): A conceptual framework for detecting mental disorders using virtual reality dataVibhav Chitale, Julie D. Henry, Hai‐Ning Liang, Ben Matthews, Nilufar Baghaei · 2024 · New Ideas in Psychology
- Exploring the Utility of a Machine Learning Approach with Mobile‐Based Cognitive Function Tasks for Detecting DepressionMomoka Takeshige, Taiki Oka, Mai Ohwan, Kei Hirai · 2024 · Japanese Psychological Research
- An Hybrid Deep Learning Approach for Prediction and Binary Classification of Student’s StressNesrine Kadri, Sameh Hbaieb Turki, Ameni Ellouze, Mohamed Ksantini · 2022 · Communications in computer and information science
- Towards Future Health and Well-being: Bridging Behavior Modeling and InterventionXuhai Xu · 2022 · ACM Symposium on User Interface Software and Technology (UIST)
- COVID-19: Health risk factors among students’ population in AlbaniaJuventina Ngjela, Ledion Musaj, Arber Llanaj, Entela Kostrista, Juna Muça, Jonida Hyka, Edvaldo Begotaraj · 2023 · Qeios
- Personalized Machine Learning using Passive Sensing and Ecological Momentary Assessments for Meth Users in Hawaii: A Research ProtocolPeter Yigitcan Washington · 2023 · medRxiv
- Predicting dimensions of depression from smartphone dataVincent Holstein, Samir Akre, Ramona Leenings, Yoonho Chung, Tim Hahn, Justin Taylor Baker · 2024 · medRxiv
- Introduction to Applied Affective ComputingLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Emotion Recognition in the WildLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Depression Detection via Influence-based Relabeling for Resolving Training Set NoiseMei Tu, Ziang Zhao, Jinting Wu, Jaehun Lee, Hwangrae Lee, Jinwoo Song · 2022 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
- Smartphone based on-device computing for societal applicationsKalyan Sasidhar · 2023 · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI)
- Depression and Mood Monitoring for Pregnant Women Using IoT-Based WearablesDelshi Howsalya Devi, Ramu Naresh, C. N. S. Vinoth Kumar, S. Senthilkumar, A. Asis Jovin · 2023 · Advances in computational intelligence and robotics book series
- A decision integration strategy algorithm to detect the depression severity level using wearable and profile dataMohammad Nahid Hossain, Sung‐Hyun Yang · 2024 · Iran Journal of Computer Science
- Identification of possible depressive profile through mobile sensor data in university studentsConrado Santos Saud, Vivian Genaro Motti, Luciano de Oliveira Neris, Taís Bleicher, Vânia Paula de Almeida Néris · 2024 · Brazilian Symposium on Human Factors in Computing Systems (IHC)
- Predicting weekly instability in depressive symptoms among individuals diagnosed with Major Depressive Disorder using deep learning and passively-collected movement dataAnna M Langener, George D. Price, Dawson Haddox, Michael V. Heinz, Daniel M. Mackin, Matthew David Nemesure, Amanda C Collins, Damien Lekkas, Tess Z. Griffin, Arvind Pillai et al. · 2026 · Journal of Affective Disorders Reports
- Predicting Student Depression using Machine Learning: A Comparative Analysis of Machine Learning Algorithms for Early Depression Detection in StudentsAbdimalik Osman Hassan, Ismail Mohamed Jamal, Shuab Daud Ahmed, Abdifatah Ugas Abdullahi · 2025 · American International Theism University Scientific Research Journal
- A-UVI: GNSS-Assisted EO-based UV Index Estimation Method for Individual-level Precise UV Exposure AssessmentYuuki Nishiyama, Subaru Atsumi, Kota Tsubouchi, Kaoru Sezaki · 2025 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- MUSE: A Multimodal, Generative, and Symbolic Framework for Human Experience ModelingMohammad Rashedul Hasan · 2025 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
- Utility of wearable technology in predicting panic attacks: A scoping reviewKarim Zahed, Yasmina Hallak, Kian Azad, Jad Haidar, Hassan Ghomrawi · 2025 · Digital Health
- Detecting Perceived Unfair Treatment Among US College Students Using Mobile Sensing: Pilot Machine Learning StudyYiyi Ren, Raghu Mulukutla, Jennifer C. Mankoff, Anind K. Dey · 2025 · JMIR Formative Research
- Precision psychiatry in depression via mechanism based stratification and therapyMenghua Wang, Yanli Jiang, Chunyu Wu, Junzhuo Liao, Bo Zhou, Yonggui Yuan, Jianbo Sun · 2026 · Targetome
- A missing-aware temporal prototype hypergraph network with knowledge-guided explanation for joint student depressive-risk estimation and academic-stress predictionXiangxiong Kuang, Ganggang Zhang, Meifeng Yang · 2026 · Discover Computing
- Wearable Technology for Depression Assessment: A Scoping Review of DatasetsML Tlachac, Hayley K. Elsbree, Michael V. Heinz · 2026 · IEEE Transactions on Affective Computing
- From Detection to Forecasting: An Empirical Study of College Student Mental Health Using Smartphone SensingJheel Kishore Gala, Asher Sprigler, Priyanshu Rajeshbhai Malaviya, Elizabeth Shen, Yixue Zhao, Yi Ding, Xipeng Shen · 2026 · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies
- Seamful Design Considerations for Human-in-the-Loop Digital Phenotyping of Mental HealthVedant Das Swain, Tunwa Tongtawee, Olivia Wang, Joyce Hsu, Nicholas C. Jacobson, Varun Mishra · 2026 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Reinforcement Learning and Affective ComputingLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Estimating Mental Health Using Human-generated Big Data and Machine LearningYusuke Fukazawa · 2022 · The Brain & Neural Networks
- Automated Cognitive Health Assessment Using Partially Complete Time Series Sensor DataBrian Lee Thomas, Lawrence B. Holder, Diane J. Cook · 2022 · Methods of Information in Medicine
- How Urgent is Mobile Authentication in Special Need/Education? A Review Systematic of Cyber Security and Psychological ApproachBernadeta Dhaniswara Widyaningsih, Amadeus Pondera Purnacandra · 2023 · Journal of ICSAR
- Poster Abstract: LEVO: LEGO® Bricks Enhanced Single-Point Vibration Sensing for Occupant MonitoringYue Zhang, Shikha Patel, Dong Yoon Lee, Paolo Celli, Amelie Bonde, Shijia Pan · 2023 · ACM Conference on Embedded Networked Sensor Systems (SenSys)
- Ubiquitous Computing in Action: Infrastructure to Support Sensing and Mental Health Research in PracticeDaniel A. Adler, Tanzeem Choudhury · 2024 · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
- Advancements and Limitations: A Systematic Review of Remote-Based Deep Learning Predictive Algorithms for DepressionFintan Haley, Jacob A Andrews, Nima G Moghaddam · 2024 · Journal of Technology in Behavioral Science
- MoodPupilar: Predicting Mood Through Smartphone Detected Pupillary Responses in Naturalistic SettingsRahul Islam, Tongze Zhang, Priyanshu Singh Bisen, Sang Won Bae · 2024 · Wearable and Implantable Body Sensor Networks
- motif2vec: Semantic-aware Representation Learning for Wearables' Time Series DataSuwen Lin, Xian Wu, Nitesh V. Chawla · 2021 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
- Estimating Anxiety based on individual level engagements on YouTube & Google Search Engine.Anis Zaman, Boyu Zhang, Vincent Silenzio, Mohammed Ehsan Hoque, Henry Kautz · 2020 · arXiv (Cornell University)
- Remote monitoring of depression severity: A machine learning approachVincent Holstein, Habiballah Rahimi-Eichi, Daniel Emden, Lara Gutfleisch, Alexander Refisch, Janik Goltermann, Ramona Leenings, Nils Ralf Winter, Tilo T. J. Kircher, Igor Nenadić et al. · 2023 · medRxiv
- TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep BehaviorsTiantian Feng, Brandon M. Booth, Karel Mundnich, Emily Zhou, Benjamin Girault, Kristina Lerman, Shrikanth S. Narayanan · 2025
- Harnessing Digital Phenotyping to Advance University Student Mental Health (Brightline): Study Protocol for a Prospective Observational StudySakura Ito, Chin‐Siang Ang, Onno Pepijn Kampman, Kartikeya Rokde, Thisum Buddhika, Creighton Heaukulani, Zhi-Wei Tan, Farrah Adystyaning Dewanti, Evelyn W.M. Au, Vivien Swee Leng Huan et al. · 2025 · medRxiv
- Technological Strategies to Address Psychiatric NonadherenceSourav Sengupta, Michael S. Adragna · 2019 · Springer eBooks
- Toward Culturally Relevant Emotion Detection Using Physiological SignalsKhadija Zanna · 2020 · Digital Commons - University of South Florida (University of South Florida)
- WiSleep: Scalable Sleep Monitoring and Analytics Using Passive WiFi Sensing.Priyanka Mary Mammen, Camellia Zakaria, Tergel Molom-Ochir, Amee Trivedi, Prashant J. Shenoy, Rajesh Krishna Balan · 2021 · arXiv (Cornell University)
- Investigating the Reliability of Self-report Survey in the Wild: The Quest for Ground TruthNan Gao, Mohammad Saiedur Rahaman, Wei Shao, Flora Dilys Salim · 2021 · arXiv (Cornell University)
- Weight Change Prediction for Automated Depression DiagnosisJuyoung Hong, Jeongmin Shin, Yujin Hwang, Jeongmin Lee, Yukyung Choi · 2021 · International Conference on Control, Automation and Systems (ICCAS)
- Features of wearable devices used for Anxiety & Depression: A scoping review (Preprint)Arfan Ahmed, Sarah Aziz, Mahmood Saleh Alzubaidi, Jens Schneider, Sara Irshaidat, Hashem Abdulaziz Abu Serhan, Alaa Ali Abd-Alrazaq, Barry Solaiman, Mowafa Said Househ · 2021
- Future of Affective Computing and Applied Affective ComputingLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Multimodal Data Collection and Processing for Applied Affective ComputingLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- PrefaceLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- BibliographyLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Authors’ Biographies & IndexLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Applied Affective Computing in Built EnvironmentsLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Machine Learning Approaches for Applied Affective ComputingLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Affective Computing for Enhancing Well-BeingLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Synthesizing Natural and Believable Emotional ExpressionsLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Addressing Ethical Issues of Affective ComputingLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks
- Emotions as Studied in Psychology and Cognitive ScienceLeimin Tian, Sharon L. Oviatt, Michał Muszyński, Brent C. Chamberlain, Jennifer Healey, Akane Sano · 2022 · ACM eBooks