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SmileCityReport: Emotion-aware Participatory Sensing for Smart Cities with Double-sided Photo Shooting

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Emotion Recognition in the Wild

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Perception Clusters

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Ethical Approaches to Cyberpsychology

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TYDR: Track Your Daily Routine

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Reinforcement Learning and Affective Computing

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Machine Learning Prediction of Just Dance Exergame Enjoyment from Mobile Sensor Data

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MoodPupilar: Predicting Mood Through Smartphone Detected Pupillary Responses in Naturalistic Settings

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Design and Development of Playful Robotic Interfaces for Affective Telepresence

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Telepsychology and the Ethical Delivery of e-Therapy

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Investigating Transfer Learning of Smartphone-Sensed Stress in University Populations

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Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection

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Developing a smartphone application for depression: tracking risk and wellness factors

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Social Interaction and Interpersonal Relationships

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Technical Report: Edge-centric Programming for IoT Applications with EdgeProgPreprint

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How can humans leverage machine learning? From Medical Data Wrangling to Learning to Defer to Multiple Experts

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Learning Individuals’ Patterns and Contextual Events with Mobile Data Streams

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Affect Sensing on Smartphone - Possibilities of Understanding Cognitive Decline in Aging PopulationPreprint

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Inferring Mobile User Status with Usage Cues

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Detection of predictability ratings of live events on TV by use of second screens

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Survey on Context Based Input of Microenvironment through Sensors and Inference of Activity to Alert Smartphone User

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MobileSSI - A Multi-modal Framework for Social Signal Interpretation on Mobile Devices

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Structuring Mobile User Context Based on Spatio-Temporal Information

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Study and Analysis of Emotions in Online Social Networks and Smartphones

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Towards using situational information to detect an individual's perceived stress level

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Sensing enhanced mobile computing with smart devices

Jiang, S. (2017) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/73055

Understanding real-world phenomena from human-generated sensor data

Tsapeli, T. K. (2018) · University of Birmingham Institutional Research Archive (University of Birmingham)

Detecting Human Mood from Physiological Signal and Data Usage

Hossain, I., Islam, T., & Ruhin, M. R. (2018) · Journal of Computer and Communications · doi:10.4236/jcc.2018.612002

Using wearables and user behavior on smartphones to help cope stress

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GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care

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Sensing and Modeling Human Behavior Using Social Media and Mobile DataPreprint

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Estimating User Contexts from Mobile Application Usage Histories

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Studying the Impact of Mood on Identifying Smartphone UsersPreprint

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Places for News: A Situated Study of Context in News Consumption

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Evaluation of Methods for Data-Driven Tools that Empower Mental Health Professionals

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Dynamic modeling of major depressive disorder: Calculating the rate of occurrence and recurrence

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Correlating MSM's Mental Health with Usage Behaviors on MSM-Specific Social Applications

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The IASO Self-Reporting System

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Social Media Ethics Section 1: Facebook, Twitter, and Google – Oh My!

Parsons, T. D. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108553384.010

Addressing Variability in Speech when Recognizing Emotion and Mood In-the-Wild

Gideon, J. (2019) · Deep Blue (University of Michigan)

Neuroethics and the Future of Cyberpsychology

Parsons, T. D. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108553384.005

Social Behaviour Understanding using Deep Neural Networks: Development of Social Intelligence SystemsPreprint

Feng, E. L. D., Neo, Z.-W., Silva, A. W. D., Sim, K., Tan, H.-R., Nguyen, T.-T., Koh, K. W. L., Wang, W., & Nguyen, H. D. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.09489

Cyberpsychology, Aging, and Gerontechnology

Parsons, T. D. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108553384.007

Digital and Extended Selves in Cyberspace

Parsons, T. D. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108553384.004

Social Media Ethics Section 3: Digital Citizenship

Parsons, T. D. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108553384.012

Scalabeling: Linear Slider Supported Labeling for the Classification of Streaming Data

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Future of Affective Computing and Applied Affective Computing

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A Review on Mood Assessment Using Smartphones

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How to use smartphones for less obtrusive ambulatory mood assessment and mood recognition

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