Artificial Intelligence in HCI

Table of Contents

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   Book Overview
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   Chapter 1 Emotional Internet of Behaviors: A QoE-QoS Adjustment Mechanism
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   Chapter 2 Examining Simulated Agricultural Tasks Using an Arm-Support Exoskeleton
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   Chapter 3 Integrated Solution for Evaluating Emotional Expressions in Learning Management Systems
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   Chapter 4 A Dynamic Fitness Game Content Generation System Based on Machine Learning
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   Chapter 5 “Do we like this, or do we like like this?”: Reflections on a Human-Centered Machine Learning Approach to Sentiment Analysis
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   Chapter 6 Therapist Perceptions of Automated Deception Detection in Mental Health Applications
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   Chapter 7 Aggregating Human Domain Knowledge for Feature Ranking
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   Chapter 8 Human-Centered AI for Manufacturing – Design Principles for Industrial AI-Based Services
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    Chapter 9 The Role of Response Time for Algorithm Aversion in Fast and Slow Thinking Tasks
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    Chapter 10 Unvoiced Vowel Recognition Using Active Bio-Acoustic Sensing for Silent Speech Interaction
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    Chapter 11 Is It Possible to Measure Real-Time VR Motion Sickness with EDA Wavelet Features?
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    Chapter 12 How Do AI Explanations Affect Human-AI Trust?
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    Chapter 13 The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research
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    Chapter 14 How to Explain It to a Model Manager?
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    Chapter 15 Application of Reinforcement Learning for Intelligent Support Decision System: A Paradigm Towards Safety and Explainability
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    Chapter 16 INFEATURE: An Interactive Feature-Based-Explanation Framework for Non-technical Users
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    Chapter 17 A Quantitative Comparison of Causality and Feature Relevance via Explainable AI (XAI) for Robust, and Trustworthy Artificial Reasoning Systems
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    Chapter 18 Evaluating Explainable AI (XAI) in Terms of User Gender and Educational Background
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    Chapter 19 AI Explainability, Interpretability, Fairness, and Privacy: An Integrative Review of Reviews
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    Chapter 20 Emotional Debiasing Explanations for Decisions in HCI
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    Chapter 21 Exploring Mental Models for Explainable Artificial Intelligence: Engaging Cross-disciplinary Teams Using a Design Thinking Approach
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    Chapter 22 Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work
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    Chapter 23 Exploring the Effect of Visual-Based Subliminal Persuasion in Public Speeches Using Explainable AI Techniques
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    Chapter 24 Assessing the Impact of Cognitive Biases in AI Project Development
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    Chapter 25 How is the AI Perceived When It Behaves (Un)Fairly?
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    Chapter 26 Distance Correlation GAN: Fair Tabular Data Generation with Generative Adversarial Networks
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    Chapter 27 Through a Fair Looking-Glass: Mitigating Bias in Image Datasets
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    Chapter 28 Ethical AI Based Decision Making to Reduce Tax Related Debts for Governments
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    Chapter 29 Improving Fairness via Deep Ensemble Framework Using Preprocessing Interventions
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    Chapter 30 TextureAda: Deep 3D Texture Transfer for Ideation in Product Design Conceptualization
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    Chapter 31 Scatter Plots Based on Fuzzy Logic in Supporting the Design of Graphical Interfaces
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    Chapter 32 Approaching AI: A Practical Guide to Understanding and Using AI for HCI
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    Chapter 33 Fuzzy Vector Representation of Project Metrics’ Target and Actual Values and Its Application to Project Management
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    Chapter 34 Perception of the Fuzzy Number Indeterminacy Change in Vector and Triangle Representations – Implications for Graphical User Interface Design
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    Chapter 35 Volition Learning: What Would You Prefer to Prefer?
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    Chapter 36 The Feasibility Study of AI Image Generator as Shape Convergent Thinking Tool
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    Chapter 37 Application Potential of Stable Diffusion in Different Stages of Industrial Design
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    Chapter 38 Design Intelligence – AI and Design Process Modules to Foster Collaboration Between Design, Data (Science) and Business Experts
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    Chapter 39 Interaction Design for Hybrid Intelligence: The Case of Work Place Risk Assessment
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    Chapter 40 Illustration of the Usable AI Paradigm in Production-Engineering Implementation Settings