Exploring the effects of below-freezing temperatures on smartphone usage
While the use of smartphones in extreme temperatures does not necessarily occur every day nor in all parts of the world, numerous […]
Challenges on Collecting Smartphone Data in Cold Environments
Smartphones can be considered the cheapest and well-penetrated devices for collecting everyday human behaviour data. However, smartphones, as any battery-dependant electronic devices, […]
When phones get personal
As smartphones are increasingly an integral part of daily life, recent literature suggests a deeper relationship between personality traits and smartphone usage. […]
Towards understanding smartphone usage and sleep with a crowdsensing approach
Smartphone usage and sleep quality have established connections in psychological research, but in the HCI context, the topic is still understudied. In […]
Context-Informed Scheduling and Analysis
Mobile self-reports are a popular technique to collect participant labelled data in the wild. While literature has focused on increasing participant compliance […]
Energy-efficient prediction of smartphone unlocking
We investigate the predictability of the next unlock event on smartphones, using machine learning and smartphone contextual data. In a 2-week field […]
Proposing Design Recommendations for an Intelligent Recommender System Logging Stress
The connection between stress and smartphone usage behavior has been investigated extensively. While the prediction results using machine learning are encouraging, the […]
Mobile Decision Support and Data Provisioning for Low Back Pain
Abstract The authors present Back Pain Buddy, a mobile application offering decision support and coaching for people with low back pain (LBP). […]