A Unified Model for User Identification on Multi-touch Surfaces. A Survey and Meta-analysis.
Authors
User identification on interactive surfaces is a desirable feature that is not inherently supported by existing technologies. We have conducted an extensive survey of existing identification techniques, which led us to formulate a unified model for user identification. We start by introducing this model that 1) classifies existing user identification approaches in 5 categories according to the identification technology; 2) identifies 8 characteristic identification system parameters; and 3) proposes a way for visualizing the system’s characteristics as points on a radar-chart to allow for quick comparison and contrast between systems. This model is then used to present our survey of existing user identification approaches and visualize their characteristics, highlighting their strengths and limitations. The model also makes it possible to visually represent requirements of systems that require user identification, identify existing approaches that can meet an application’s requirements, and help report on and evaluate new approaches to user identification systematically.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
Modeling the Endpoint Uncertainty in Crossing-based Moving Target Selection
CHI '20· Eye Tracking & Gaze Interaction +1
- 100%
Quantification of Users' Visual Attention During Everyday Mobile Device Interactions
CHI '20· Eye Tracking & Gaze Interaction +1
- 100%
Collecting Self-reported Physical Activities and Postures Data using Audio-based Ecological Momentary Assessment
UbiComp '24· Eye Tracking & Gaze Interaction +1
- 67%
Your Eyes Tell: Leveraging Smooth Pursuit for Assessing Cognitive Workload
CHI '18· Eye Tracking & Gaze Interaction +2
- 67%
FaceOri: Tracking Head Position and Orientation Using Ultrasonic Ranging on Earphones
CHI '22· Eye Tracking & Gaze Interaction +1
- 67%
Selecting Real-World Objects via User-Perspective Phone Occlusion
CHI '23· Hand Gesture Recognition +2
- 67%
Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning
IUI '25· Eye Tracking & Gaze Interaction +2
Based on Jaccard similarity of research subtopics & professions (≥60%)