Smartphone Sensing for the Well-being of Young Adults: A Review
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Abstract (arXiv)
Over the years, mobile phones have become versatile devices with a multitude of capabilities due to the plethora of embedded sensors that enable them to capture rich data unobtrusively. In a world where people are more conscious regarding their health and well-being, the pervasiveness of smartphones has enabled researchers to build apps that assist people to live healthier lifestyles, and to diagnose and monitor various health conditions. Motivated by the high smartphone coverage among young adults and the unique issues they face, in this review paper, we focus on studies that have used smartphone sensing for the well-being of young adults. We analyze existing work in the domain from two perspectives, namely Data Perspective and System Perspective. For both these perspectives, we propose taxonomies motivated from human science literature, which enable to identify important study areas. Furthermore, we emphasize the importance of diversity-awareness in smartphone sensing, and provide insights and future directions for researchers in ubiquitous and mobile computing, and especially to new researchers who want to understand the basics of smartphone sensing research targeting the well-being of young adults.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Dec 2020.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 1.
4 papers.
- 2024M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Trainingcited by 8
- 2023Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometerscited by 1
- 2025Unlocking Mental Health: Exploring College Students' Well-being through Smartphone Behaviorscited by 1
- 2024Sensor-Based Data Acquisition via Ubiquitous Device to Detect Muscle Strength Training Activitiescited by 0
- 2025Unlocking Mental Health: Exploring College Students' Well-being through Smartphone Behaviors12 Feb 2025
- 2024M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training26 Apr 2024
- 2024Sensor-Based Data Acquisition via Ubiquitous Device to Detect Muscle Strength Training Activities26 Jan 2024
- 2023Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers17 Jan 2023