This book constitutes the thoroughly refereed post-proceedings of two events discussing AI for Human Computing; one Special Session during the Eighth International ACM Conference on Multimodal Interfaces (ICMI 2006), held in Banff, Canada, in November 2006 and a Workshop organized in conjunction with the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), held in Hyderabad, India, in January 2007.
A large number of the contributions in this state-of-the-art survey are updated and extended versions of the papers presented during these two events. In order to obtain a more complete overview of research efforts in the field of human computing, a number of additional invited contributions are included in this book on AI for human computing.
The 17 revised papers presented were carefully selected from numerous submissions to and presentations made at the two events and include invited articles to round off coverage of all relevant topics of the emerging topic. The papers are organized in three parts: a part on foundational issues of human computing, a part on sensing humans and their activities, and a part on anthropocentric interaction models.
Author(s): Thomas S. Huang, Anton Nijholt, Maja Pantic, Alex Pentland
Series: Lecture Notes in Artificial Intelligence 4451
Edition: 1
Publisher: Springer
Year: 2007
Language: English
Pages: 372
Front matter......Page 1
Introduction......Page 14
Message Judgment......Page 16
Sign Measurement......Page 17
Automatic Measurement......Page 18
Reliability of Meta-Data......Page 19
Concurrent Validity for Continuous Measurement......Page 20
Dynamics......Page 21
Individual Differences......Page 23
Interpersonal Regulation......Page 24
Conclusion......Page 25
References......Page 26
Introduction......Page 30
The Bottom-Up Approaches......Page 31
Building Blocks of Instinctive Computing......Page 33
Information Foraging......Page 35
Near-Field Interactions......Page 36
Vigilance of Vulnerability......Page 37
Multi-resolution Sensing......Page 40
Tongue Inspection......Page 41
Reproductive Aesthetics......Page 42
Detecting Human Body Features......Page 43
Privacy Algorithm......Page 45
Introduction......Page 60
What Is Communicated?......Page 62
How the Information Is Passed on?......Page 64
In Which Context Is the Information Passed on?......Page 65
Human Sensing......Page 67
Context Sensing......Page 71
Understanding Human Behavior......Page 74
Guidelines for Future Research Efforts in the Field......Page 77
References......Page 79
Introduction......Page 85
Related Work......Page 87
Data of Adult Attachment Interview......Page 91
3D Face Tracker......Page 92
Vocal Expressions......Page 93
Learning Algorithm......Page 94
Facial Expression Analysis on Locality Preserving Subspace......Page 95
Audio-Visual Fusion......Page 97
References......Page 99
Introduction......Page 104
Induction of Natural Emotions – Data Collection......Page 106
Extraction of Facial Features......Page 108
Face Detection and Pose Estimation......Page 109
Automatic Facial Feature Detection and Boundary Extraction......Page 111
Final Masks Generation and Confidence Estimation......Page 115
From FP to FAP Estimation......Page 116
Hand Gesture Analysis......Page 117
Extraction of Acoustic Features......Page 119
Fusion of Visual and Acoustic Features......Page 120
References......Page 122
Introduction......Page 126
Affect as Reinforcement......Page 127
Interactive Robot Learning......Page 128
Learning by Feedback......Page 129
Learning by Guidance......Page 130
Emotion and Affect......Page 131
Emotional Influences......Page 132
EARL: A Computational Framework to Study the Relation Between Emotion, Adaptation and Reinforcement Learning......Page 133
Method......Page 135
Continuous Gridworld as Test Environment......Page 136
Reinforcement Learning in Continuous Environments......Page 137
Social vs. Non-social Learning......Page 138
Results......Page 139
Conclusion, Discussion and Future Work......Page 140
References......Page 143
Trajectory-Based Representation of Human Actions......Page 146
Discussion......Page 0
Modelling the Communication Atmosphere: A Human Centered Multimedia Approach to Evaluate Communicative Situations......Page 168
Modeling Influence Between Experts......Page 183
Introduction......Page 203
Approaches to Social Intelligence Design......Page 204
Social Interaction with Nonverbal Communication Means......Page 206
Knowledge in Action......Page 208
Meeting Capture......Page 209
Collaboration Support......Page 211
Understanding Community Media......Page 212
Supporting Community......Page 213
Knowledge Circulation in a Community......Page 214
Embodied Conversational Agents......Page 216
Communicative Robots......Page 217
Establishing Mutual Intention......Page 218
Historical Overview of Social Intelligence Design......Page 221
Viewpoints to Classify Approaches to Social Intelligence Design......Page 223
References......Page 225
Feedback Loops in Communication and Human Computing......Page 228
Evaluating the Future of HCI: Challenges for the Evaluation of Emerging Applications......Page 247
Why Multimodal, Context-Sensitive User Interface Design?......Page 264
The Evolution of Human-Computer Interfaces......Page 265
The State of the Art......Page 268
System Architecture......Page 270
Input Modalities......Page 272
Case-Based Reasoning......Page 274
Interaction Adaptation......Page 276
GUI of the System......Page 277
Usability Study......Page 278
Conclusions......Page 281
References......Page 282
SmartWeb Handheld — Multimodal Interactionwith Ontological Knowledge Bases and Semantic Web Services......Page 285
A Learning-Based High-Level Human Computer Interface for Face Modeling and Animation......Page 309
Challenges for Virtual Humans in Human Computing......Page 329
Introduction......Page 352
Our Current Affect Detection......Page 356
Pre-processing Modules......Page 358
Affect Detection Using Rasp, Pattern Matching & WordNet and Responding Regimes......Page 359
Metaphorical Language Processing in EMMA......Page 361
The Users Avatars and Emotional Animation......Page 362
Affect Via Metaphor – Theoretical Analysis in E-Drama Transcripts......Page 364
User Testing......Page 365
References......Page 369
Back matter......Page 372
