All Stories

  1. Emotion-Adaptive LLM-Driven Clinical Decision Support: User Evaluation of the Empathic-CDSS Framework for Trust and Explainability (Preprint)
  2. Emotion-Adaptive LLM-Driven Clinical Decision Support: User Evaluation of the Empathic-CDSS Framework for Trust and Explainability (Preprint)
  3. Integrating Multi-Ancestry Polygenic Risk Scores and Wearable Data to Detect Depression and Gene-Environment Interactions in Youth
  4. Detecting Perceived Unfair Treatment Among US College Students Using Mobile Sensing: Pilot Machine Learning Study
  5. Towards Human-Centered Early Prediction Models for Academic Performance in Real-World Contexts
  6. Detecting Perceived Unfair Treatment among U.S. College Students Using Mobile Sensing: Pilot Machine Learning Study (Preprint)
  7. Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation
  8. Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation (Preprint)
  9. Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study
  10. A Survey of Passive Sensing for Workplace Wellbeing and Productivity
  11. FairComp: 2nd International Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing
  12. Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention
  13. Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study
  14. Mental-LLM
  15. A Framework for Designing Fair Ubiquitous Computing Systems
  16. Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study (Prepr...
  17. Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study
  18. Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study (Preprint)
  19. Impact of Online Learning in the Context of COVID-19 on Undergraduates with Disabilities and Mental Health Concerns
  20. Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study (Preprint)
  21. Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping
  22. Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information Workers
  23. Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior
  24. A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
  25. TypeOut: Leveraging Just-in-Time Self-Affirmation for Smartphone Overuse Reduction
  26. BoldMove: Enabling IoT Device Control on Ubiquitous Touch Interfaces by Semantic Mapping and Sequential Selection
  27. Mobile phone sensor-based detection of subjective cannabis intoxication in young adults: A feasibility study in real-world settings
  28. Predicting Job Performance Using Mobile Sensing
  29. Understanding practices and needs of researchers in human state modeling by passive mobile sensing
  30. HulaMove: Using Commodity IMU for Waist Interaction
  31. Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study
  32. Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing
  33. Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study (Preprint)
  34. Using iOS for inconspicuous data collection
  35. EarBuddy: Enabling On-Face Interaction via Wireless Earbuds
  36. A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Usability and Feasibility Study
  37. Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study
  38. A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Usability and Feasibility Study (Preprint)
  39. Passively-sensed Behavioral Correlates of Discrimination Events in College Students
  40. The Limits of Expert Text Entry Speed on Mobile Keyboards with Autocorrect
  41. AppLens 2019
  42. Clench Interface
  43. Modeling Biobehavioral Rhythms with Passive Sensing in the Wild
  44. Proposal for Workshop on AppLens
  45. Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory Study
  46. Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory Study (Preprint)
  47. A Case Study on Iteratively Assessing and Enhancing Wearable User Interface Prototypes