Assessing User Mental Workload for Smartphone Applications With Built-In Sensors
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Pervasive Computing"
DOI: 10.1109/mprv.2018.2873851
Abstract: This work proposes a novel three-dimensional model to represent users’ mental workload when using smartphone applications. We validate this model by studying the factors’ perceptual independence and interactions using data collected from 22 participants. By… read more here.
Keywords: built sensors; workload; tap strength; mental workload ... See more keywords
Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis
Sign Up to like & getrecommendations! Published in 2022 at "JMIR mHealth and uHealth"
DOI: 10.2196/30468
Abstract: Background There has been a steady rise in the availability of health wearables and built-in smartphone sensors that can be used to collect health data reliably and conveniently from end users. Given the feature overlaps… read more here.
Keywords: health; data collection; mhealth; apps ... See more keywords