Handbook of Human-Machine Systems 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9781119863632,1119863635,9781119863656, 1119863651
Product details:
- ISBN-10: 1119863651
- ISBN-13: 9781119863656
- Author: Andreas Nürnberger, David Kaber, David Mendonça, Giancarlo Fortino
In Handbook of Human-Machine Systems, a team of distinguished researchers delivers a comprehensive exploration of human-machine systems (HMS) research and development from a variety of illuminating perspectives. The book offers a big picture look at state-of-the-art research and technology in the area of HMS. Contributing authors cover Brain-Machine Interfaces and Systems, including assistive technologies like devices used to improve locomotion. They also discuss advances in the scientific and engineering foundations of Collaborative Intelligent Systems and Applications.
Table contents:
1 Introduction
2 Brain–Computer Interfaces: Recent Advances, Challenges, and Future Directions
3 Brain–Computer Interfaces for Affective Neurofeedback Applications
4 Pediatric Brain–Computer Interfaces: An Unmet Need 35
5 Brain–Computer Interface-based Predator–Prey Drone Interactions
6 Levels of Cooperation in Human–Machine Systems: A Human–BCI–Robot Example
7 Human–Machine Social Systems: Test and Validation via Military Use Cases
8 The Role of Multimodal Data for Modeling Communication in Artificial Social Agents
9 Modeling Interactions Happening in People-Driven Collaborative Processes
10 Transparent Communications for Human–Machine Teaming
11 Conversational Human–Machine Interfaces
12 Interaction-Centered Design: An Enduring Strategy and Methodology for Sociotechnical Systems
13 Human–Machine Computing: Paradigm, Challenges, and Practices
14 Companion Technology
15 A Survey on Rollator-Type Mobility Assistance Robots
16 A Wearable Affective Robot
17 Visual Human–Computer Interactions for Intelligent Vehicles
18 Intelligent Collaboration Between Humans and Robots
19 To Be Trustworthy and To Trust: The New Frontier of Intelligent Systems
20 Decoding Humans’ and Virtual Agents’ Emotional Expressions
21 Intelligent Computational Edge: From Pervasive Computing and Internet of Things to Computing Continuum
22 Implementing Context Awareness in Autonomous Vehicles
23 The Augmented Workforce: A Systematic Review of Operator Assistance Systems
24 Cognitive Performance Modeling
25 Advanced Driver Assistance Systems: Transparency and Driver Performance Effects
26 RGB-D Based Human Action Recognition: From Handcrafted to Deep Learning
27 Hybrid Intelligence: Augmenting Employees’ Decision-Making with AI-Based Applications
28 Human Factors in Driving
29 Wearable Computing Systems: State-of-the-Art and Research Challenges
30 Multisensor Wearable Device for Monitoring Vital Signs and Physical Activity
31 Integration of Machine Learning with Wearable Technologies
32 Gesture-Based Computing
33 EEG-based Affective Computing
34 Security of Human Machine Systems
35 Integrating Innovation: The Role of Standards in Promoting Responsible Development of Human–Machine Systems
36 Situation Awareness in Human-Machine Systems
37 Modeling, Analyzing, and Fostering the Adoption of New Technologies: The Case of Electric Vehicles
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