Call for Papers
The proliferation of smart devices, mobile applications, and IoT systems in our daily lives has created significant opportunities for a more efficient, productive, healthy, and sustainable society centered on short and long-term human needs. To translate those opportunities into reality, we have seen increasing research attention from a number of disciplines. As human activity, behavior, and user experience become important factors in smart services and mobile applications, the research will bring a new focus on human-centered sensing, networking, and intelligent systems. We also focus on the development and practical application of novel sensing technologies within human-centric multi-device systems, incorporating both mobile and fixed infrastructure. Our attention includes mobile devices, including smartphones and wearable technology such as smartwatches, earbuds, and rings, as well as a combination of stationary infrastructure like cameras, WiFi, RFID readers, lighting systems, and base stations. The workshop explores the challenges and opportunities in a variety of sensing techniques ranging from sensing using wireless signals to sensor-based technologies (temperature sensors, accelerometers, PPG, EEG, pH sensors) or a combination thereof, discussing their roles in applications such as health monitoring, human behaviour analytics, precise localization, and UI/UX for multi-device systems.
The HumanSys workshop is intended to bring together researchers, developers, and practitioners in related fields from academia, industry, and service providers, to share ideas and experiences related to human-centered technologies and applications. Both visionary and working-in-progress papers are encouraged. To that end, papers are solicited from all related areas involving human-centered sensing, networking, and intelligent systems, including, but not limited to the following topics:
- Health, activity, gesture, and behavior monitoring and/or data analytics
- Human-centered AI models
- Hardware/software for human-centered applications, e.g., computer vision, VR/AR, wearables, mobile platforms, vibration/acoustics, radio-frequency sensing
- Human-environment, human-sensor, human-AI interactions
- Trustworthy AI and intelligent systems for user needs (e.g., privacy and security issues)
- Human-centered design, e.g., user interface for mobile and embedded systems
- Urban mobility and transportation systems
- Location-based services and systems, e.g. localization, navigation, and tracking
- Predictive control in human-intense mobile systems
- Performance evaluation and deployment experience of human-centered systems
- Communications and networking among multiple devices and sensors for human-centric applications
- Data management and processing in multi-device sensing systems
- Coordination and collaboration in multi-device systems
- Embedded AI and tiny machine learning solutions in multi-device sensing systems
- AI-driven sensing and computing in multi-device sensing systems
- Techniques and algorithms for deriving insights from existing sensors Novel UI, UX, and human-centric applications of multi-device sensing systems