Automated sensing of daily activity: A new lens into development
K de Barbaro - Developmental psychobiology, 2019 - Wiley Online Library
Rapidly maturing technologies for sensing and activity recognition can provide
unprecedented access to the complex structure daily activity and interaction, promising new …
unprecedented access to the complex structure daily activity and interaction, promising new …
Daily perceived stress predicts less next day social interaction: Evidence from a naturalistic mobile sensing study.
Although mammals have a strong motivation to engage in social interaction, stress can
significantly interfere with this desire. Indeed, research in nonhuman animals has shown that …
significantly interfere with this desire. Indeed, research in nonhuman animals has shown that …
A systematic survey on android api usage for data-driven analytics with smartphones
Recent industrial and academic research has focused on data-driven analytics with
smartphones by collecting user interaction, context, and device systems data through …
smartphones by collecting user interaction, context, and device systems data through …
PuzzleWalk: A theory-driven iterative design inquiry of a mobile game for promoting physical activity in adults with autism spectrum disorder
Primary symptoms of adults with autism spectrum disorder (ASD), such as pervasive social
deficits in social interaction and communication, cause adults with ASD to adopt a sedentary …
deficits in social interaction and communication, cause adults with ASD to adopt a sedentary …
A framework for designing AI systems that support community wellbeing
Introduction Designing artificial intelligence (AI) to support health and wellbeing is an
important and broad challenge for technologists, designers, and policymakers. Drawing …
important and broad challenge for technologists, designers, and policymakers. Drawing …
[HTML][HTML] Predicting participant compliance with fitness tracker wearing and ecological momentary assessment protocols in information workers: Observational study
Background: Studies that use ecological momentary assessments (EMAs) or wearable
sensors to track numerous attributes, such as physical activity, sleep, and heart rate, can …
sensors to track numerous attributes, such as physical activity, sleep, and heart rate, can …
Development of an open-source solution to facilitate the use of one-button wearables in experience sampling designs
S Volsa, D Lewetz, V Mlakic, C Bertagnoli… - Behavior Research …, 2024 - Springer
The experience sampling method (ESM) allows for a high degree of ecological validity
compared to laboratory research, at the cost of greater effort for participants. It would …
compared to laboratory research, at the cost of greater effort for participants. It would …
[HTML][HTML] Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods Study
Background Machine learning models often use passively recorded sensor data streams as
inputs to train machine learning models that predict outcomes captured through ecological …
inputs to train machine learning models that predict outcomes captured through ecological …