Conference paper / 2023
MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension
SoftwareX
Abstract
MobiScout is an iOS application designed to monitor users' driving habits and physiological conditions on the road. This app offers a cost-effective, next-generation solution for data collection and analysis in naturalistic driving studies. MobiScout captures real-time data, encompassing physiological information, using sensors on mobile phones, smartwatches, and Bluetooth-enabled OBD equipment. The software records data such as speed, braking, pulse rate, and acceleration, while the phone's camera captures both the interior and exterior views of the car. Data can either be streamed to cloud storage in real-time or stored locally in areas without WIFI. The acquired data serves to enhance our understanding of typical traffic behavior, driver performance, and surrounding conditions.
Authors
Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma
Venue
SoftwareX
Status
Published
Year
2023
Keywords
Contribution
The project proposes a motion vocabulary for interface states, emphasizing transitions that communicate cause, consequence, and hierarchy.
Citation
3
Methods
Comparative analysis of animated interface patterns
Prototype studies with controlled transition timing
Qualitative review of perceived clarity and cognitive load
Findings
Users interpret motion most reliably when it maps directly to state change.
Short delays can improve sequence comprehension when paired with clear hierarchy.
Decorative movement reduced confidence when it competed with primary content.