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Intelligent Virtual Agents

Overview of attention for book
Cover of 'Intelligent Virtual Agents'

Table of Contents

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    Book Overview
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    Chapter 1 Fully Automated Generation of Question-Answer Pairs for Scripted Virtual Instruction
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    Chapter 2 The Virtual Apprentice
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    Chapter 3 The City of Uruk: Teaching Ancient History in a Virtual World
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    Chapter 4 An Analysis of the Dialogic Complexities in Designing a Question/Answering Based Conversational Agent for Preschoolers
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    Chapter 5 Building autonomous social partners for autistic children
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    Chapter 6 The Effect of Virtual Agents’ Emotion Displays and Appraisals on People’s Decision Making in Negotiation
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    Chapter 7 First Impressions: Users’ Judgments of Virtual Agents’ Personality and Interpersonal Attitude in First Encounters
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    Chapter 8 A Study of Emotional Contagion with Virtual Characters
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    Chapter 9 Longitudinal Affective Computing
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    Chapter 10 Generating Norm-Related Emotions in Virtual Agents
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    Chapter 11 Virtual Agents in Conflict
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    Chapter 12 How Do You Like Me in This: User Embodiment Preferences for Companion Agents
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    Chapter 13 A Second Chance to Make a First Impression? How Appearance and Nonverbal Behavior Affect Perceived Warmth and Competence of Virtual Agents over Time
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    Chapter 14 Spatial Misregistration of Virtual Human Audio: Implications of the Precedence Effect
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    Chapter 15 Virtual Human Personality Masks: A Human Computation Approach to Modeling Verbal Personalities in Virtual Humans
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    Chapter 16 The Effect of Visual Gender on Abuse in Conversation with ECAs
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    Chapter 17 Modeling Speaker Behavior: A Comparison of Two Approaches
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    Chapter 18 An Incremental Multimodal Realizer for Behavior Co-Articulation and Coordination
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    Chapter 19 Thalamus: Closing the Mind-Body Loop in Interactive Embodied Characters
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    Chapter 20 Lip-Reading: Furhat Audio Visual Intelligibility of a Back Projected Animated Face
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    Chapter 21 Subjective Optimization
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    Chapter 22 Understanding the Nonverbal Behavior of Socially Anxious People during Intimate Self-disclosure
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    Chapter 23 Virtual Reality Negotiation Training Increases Negotiation Knowledge and Skill
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    Chapter 24 Towards Multimodal Expression of Laughter
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    Chapter 25 Ada and Grace: Direct Interaction with Museum Visitors
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    Chapter 26 Spatial Cues in Hamlet
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    Chapter 27 Interactive Stories and Motivation to Read in the Raft Dyslexia Fluency Tutor
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    Chapter 28 Integrating Backchannel Prediction Models into Embodied Conversational Agents
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    Chapter 29 Incremental Dialogue Understanding and Feedback for Multiparty, Multimodal Conversation
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    Chapter 30 Designing Relational Agents as Long Term Social Companions for Older Adults
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    Chapter 31 A Cognitive Model for Social Role Compliant Behavior of Virtual Agents
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    Chapter 32 A Cognitive Social Agent Architecture for Cooperation in Social Simulations
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    Chapter 33 A Model for Social Regulation of User-Agent Relationships
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    Chapter 34 Using Collaborative Discourse Theory to Partially Automate Dialogue Tree Authoring
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    Chapter 35 Authoring Rules for Bodily Interaction: From Example Clips to Continuous Motions
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    Chapter 36 Expressive Body Animation Pipeline for Virtual Agent
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    Chapter 37 The Turning, Stretching and Boxing Technique: A Step in the Right Direction
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    Chapter 38 From Their Environment to Their Behavior: A Procedural Approach to Model Groups of Virtual Agents
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    Chapter 39 Social Evaluation of Artificial Agents by Language Varieties
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    Chapter 40 Empirical Validation of an Accommodation Theory-Based Model of User-Agent Relationship
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    Chapter 41 Cultural Study on Speech Duration and Perception of Virtual Agent’s Nodding
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    Chapter 42 Cultural Behaviors of Virtual Agents in an Augmented Reality Environment
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    Chapter 43 Frown More, Talk More: Effects of Facial Expressions in Establishing Conversational Rapport with Virtual Agents
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    Chapter 44 Characters with Personality!
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    Chapter 45 A Formal Architecture of Shared Mental Models for Computational Improvisational Agents
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    Chapter 46 A Reasoning Module to Select ECA’s Communicative Intention
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    Chapter 47 Perception Markup Language: Towards a Standardized Representation of Perceived Nonverbal Behaviors
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    Chapter 48 Intelligent Virtual Agents
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    Chapter 49 Synthesising and Evaluating Cross-Modal Emotional Ambiguity in Virtual Agents
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    Chapter 50 Immersive Interfaces for Building Parameterized Motion Databases
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    Chapter 51 Creating Personalized and Distributed Virtual Learning Spaces through the Use of i-Collaboration 3.0
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    Chapter 52 Eliciting Gestural Feedback in Chinese and Swedish Informal Interactions
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    Chapter 53 Locus of Control in Conversational Agent Design: Effects on Older Users’ Interactivity and Social Presence
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    Chapter 54 Online Behavior Evaluation with the Switching Wizard of Oz
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    Chapter 55 Modeling the Multi-modal Behaviors of a Virtual Instructor in Tutoring Ballroom Dance
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    Chapter 56 Hospital Buddy: A Persistent Emotional Support Companion Agent for Hospital Patients
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    Chapter 57 Towards Assessing the Communication Responsiveness of People with Dementia
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    Chapter 58 A Conversational Agent for Social Support: Validation of Supportive Dialogue Sequences
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    Chapter 59 Rich Computational Model of Conflict for Virtual Characters
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    Chapter 60 A Model for Embodied Cognition in Autonomous Agents
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    Chapter 61 Evaluation of an Affective Model: COR-E
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    Chapter 62 Evaluation of the Uncanny Valley in CG Characters
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    Chapter 63 Full-Body Gesture Interaction with Improvisational Narrative Agents
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    Chapter 64 Understanding How Well You Understood – Context- Sensitive Interpretation of Multimodal User Feedback
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    Chapter 65 Toward a Computational Model for the Automatic Generation of Character Personality in Interactive Narrative
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    Chapter 66 Efficient Cultural Models of Verbal Behavior for Communicative Agents
Overall attention for this book and its chapters
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About this Attention Score

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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users

Citations

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6 Dimensions

Readers on

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Title
Intelligent Virtual Agents
Published by
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-33197-8
ISBNs
978-3-64-233196-1, 978-3-64-233197-8
Authors

Aylett, Matthew P., Potard, Blaise

Editors

Yukiko Nakano, Michael Neff, Ana Paiva, Marilyn Walker

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Student > Doctoral Student 1 6%
Other 1 6%
Professor 1 6%
Student > Bachelor 1 6%
Other 0 0%
Unknown 10 59%
Readers by discipline Count As %
Social Sciences 2 12%
Linguistics 1 6%
Business, Management and Accounting 1 6%
Computer Science 1 6%
Engineering 1 6%
Other 0 0%
Unknown 11 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 May 2022.
All research outputs
#14,717,512
of 23,567,572 outputs
Outputs from Lecture notes in computer science
#4,334
of 8,153 outputs
Outputs of similar age
#157,196
of 247,623 outputs
Outputs of similar age from Lecture notes in computer science
#229
of 489 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 247,623 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 489 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.