DB
D.J. Broekens
Authored
18 records found
This article provides the first survey of computational models of emotion in reinforcement learning (RL) agents. The survey focuses on agent/robot emotions, and mostly ignores human user emotions. Emotions are recognized as functional in decision-making by influencing motivation
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Collecting Mementos
A Multimodal Dataset for Context-Sensitive Modeling of Affect and Memory Processing in Responses to Videos
In this article we introduce Mementos: the first multimodal corpus for computational modeling of affect and memory processing in response to video content. It was collected online via crowdsourcing and captures 1995 individual responses collected from 297 unique viewers respondin
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A Cloud-based Robot System for Long-term Interaction
Principles, Implementation, Lessons Learned
Making the transition to long-term interaction with social-robot systems has been identified as one of the main challenges in human-robot interaction. This article identifies four design principles to address this challenge and applies them in a real-world implementation: cloud-b
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Context in Human Emotion Perception for Automatic Affect Detection
A Survey of Audiovisual Databases
An important aspect of human emotion perception is the use of contextual information to understand others' feelings even in situations where their behavior is not very expressive or has an emotionally ambiguous meaning. For technology to successfully detect affect, it must mimic
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Robots Expressing Dominance
Effects of Behaviours and Modulation
A mayor challenge in human-robot interaction and collaboration is the synthesis of non-verbal behaviour for the expression of social signals. Appropriate perception and expression of dominance (verticality) in non-verbal behaviour is essential for social interaction. In this pape
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Robots Expressing Dominance
Effects of Behaviours and Modulation
A mayor challenge in human-robot interaction and collaboration is the synthesis of non-verbal behaviour for the expression of social signals. Appropriate perception and expression of dominance (verticality) in non-verbal behaviour is essential for social interaction. In this pape
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CAAF
A Cognitive Affective Agent Programming Framework
Cognitive agent programming frameworks facilitate the development of intelligent virtual agents. By adding a computational model of emotion to such a framework, one can program agents capable of using and reasoning over emotions. Computational models of emotion are generally base
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Robots Educate in Style
The Effect of Context and Non-verbal Behaviour on Children's Perceptions of Warmth and Competence
Social robots are entering the private and public domain where they engage in social interactions with nontechnical users. This requires robots to be socially interactive and intelligent, including the ability to display appropriate social behaviour. Progress has been made in emo
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Robots Educate in Style
The Effect of Context and Non-verbal Behaviour on Children's Perceptions of Warmth and Competence
Social robots are entering the private and public domain where they engage in social interactions with nontechnical users. This requires robots to be socially interactive and intelligent, including the ability to display appropriate social behaviour. Progress has been made in emo
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Emotion engines for games in practice
Two case studies using Gamygdala
The technology to simulate emotions for NPCs is industry ready. This has been the case for several years, and recent scientific advancements show that pluggable, black-box, emotion engines are feasible. We believe that exposure to, and ease-of-use of such engines are important fa
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Personalised Self-Explanation by Robots
The Role of Goals versus Beliefs in Robot-Action Explanation for Children and Adults
A good explanation takes the user who is receiving the explanation into account. We aim to get a better understanding of user preferences and the differences between children and adults who receive explanations from a robot. We implemented a Nao-robot as a belief-desire-intention
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Personalised Self-Explanation by Robots
The Role of Goals versus Beliefs in Robot-Action Explanation for Children and Adults
A good explanation takes the user who is receiving the explanation into account. We aim to get a better understanding of user preferences and the differences between children and adults who receive explanations from a robot. We implemented a Nao-robot as a belief-desire-intention
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Grounding emotions in robots
An introduction to the special issue
Robots inhabiting human environments need to act in relation to their own experience and embodiment as well as to social and emotional aspects. Robots that learn, act upon and incorporate their own experience and perception of others’ emotions into their responses make not only m
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Growing emotions
Using affect to help children understand a plant's needs
This study proposes a homeostasis-based affective system with emotion and mood as a way to communicate a plant's health state and environmental needs to preschool and primary school children. A system is proposed that expresses mood and emotion to express the plant's health state
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The Affective Storyteller
Using Character Emotion to Influence Narrative Generation
We present the Affective Storyteller, a narrative generation framework that combines storytelling and emotion. With this framework we propose to address two main challenges in narrative generation: customization, and, reduced calculation time. Our solution is based on the fact th
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ComVis-Sail
Comparative Sailing Performance Visualization for Coaching
During training sessions, sailors rely on feedback provided by the coaches to reinforce their skills and improve their performance. Nowadays, the incorporation of sensors on the boats enables coaches to potentially provide more informed feedback to the sailors. A common exercise
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Model-based Reinforcement Learning
A Survey
Sequential decision making, commonly formalized as Markov Decision Process (MDP) optimization, is an important challenge in artificial intelligence. Two key approaches to this problem are reinforcement learning (RL) and planning. This survey is an integration of both fields, bett
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Think Too Fast Nor Too Slow
The Computational Trade-off Between Planning And Reinforcement Learning
Planning and reinforcement learning are two key approaches to sequential decision making. Multi-step approximate real-time dynamic programming, a recently successful algorithm class of which AlphaZero [Silver et al., 2018] is an example, combines both by nesting planning within a
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Contributed
2 records found
Real-time Lipreading
Effects of Compression and Frame-rate
Speech recognition systems can be found all around us. From personal assistants in mobile phones and smart speakers to robots, we use speech recognition systems everyday. However, communicating with them can be troublesome in noisy environments because they only use audio signals
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Explaining Robot Behaviour
Beliefs, Desires, and Emotions in Explanations of Robot Action
Social humanoid robots are complex intelligent systems that in the near future
will operate in domains including healthcare and education. Transparency of what robots intend during interaction is important. This helps the users trust them and increases a user’s motivation for, e.
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