Intelligent Biofeedback Comprehension Assessment: Theory, Research, and Tools
- Resource Type
- Conference
- Authors
- Hijazi, Haytham; Couceiro, Ricardo; Castelhano, Joao; Cruz, Jose; Castelo-Branco, Miguel; de Carvalho, Paulo; Madeira, Henrique
- Source
- 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Electrotechnical Conference (MELECON), 2022 IEEE 21st Mediterranean. :414-419 Jun, 2022
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Codes
Conferences
Electrocardiography
Biosensors
Biological control systems
Artificial intelligence
Task analysis
Artificial Intelligence
Biofeedback
Cognitive Load
Code Review
Content Comprehension
- Language
- ISSN
- 2158-8481
The present paper describes the use of nonintrusive biofeedback sensors (e.g., ECG) and eye-tracker to study the cognitive load (CL) associated with two mental tasks: a) content reading and comprehension b) code review. The paper addresses the theoretical underpinnings of the comprehension assessment included in content reading (for understanding) and code review evaluation using biofeedback sensors and Artificial Intelligence (AI) techniques. Moreover, it demonstrates the current research directions that the authors developed in evaluating these two tasks. Finally, the paper presents the design of one of the tools being developed to use biofeedback sensors and AI to evaluate the code review quality by assessing the code reviewer's comprehension and engagement level.