Affect control processes: Intelligent affective interaction using a partially observable Markov decision process
@article{Hoey2013AffectCP, title={Affect control processes: Intelligent affective interaction using a partially observable Markov decision process}, author={Jesse Hoey and Tobias Navarro Schr{\"o}der and Areej M. Alhothali}, journal={Artif. Intell.}, year={2013}, volume={230}, pages={134-172} }
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References
SHOWING 1-10 OF 115 REFERENCES
Bayesian Affect Control Theory
- Computer Science2013 Humaine Association Conference on Affective Computing and Intelligent Interaction
- 2013
This work forms a probabilistic and decision theoretic model of the same underlying principles, and shows this to be a generalisation of the basic theory of Affect Control Theory, which allows the model to generate affectively believable interactions with people by learning about their identity and predicting their behaviours.
Monte-Carlo Planning for Socially Aligned Agents using Bayesian Affect Control Theory
- Computer Science
- 2015
A continuous variant of a successful Monte-Carlo tree search planner (POMCP), which performs dynamic discretisation of the action and observation spaces while planning, and can be used in non-affective domains.
Affectively Aligned Cognitive Assistance Using Bayesian Affect Control Theory
- Computer ScienceIWAAL
- 2014
A novel emotionally intelligent cognitive assistant to engage and help older adults with Alzheimer’s disease (AD) to complete activities of daily living (ADL) more independently.
Empirically building and evaluating a probabilistic model of user affect
- Computer ScienceUser Modeling and User-Adapted Interaction
- 2009
This paper illustrates how the predictive part of the affective model is built by combining general theories with empirical studies to adapt the theories to the target application domain and presents results on the model’s accuracy, showing that the model achieves good accuracy on several of the target emotions.
FLAME—Fuzzy Logic Adaptive Model of Emotions
- Computer ScienceAutonomous Agents and Multi-Agent Systems
- 2004
This paper proposes a new computational model of emotions that can be incorporated into intelligent agents and other complex, interactive programs and demonstrates empirically through a computer simulation of a pet that the adaptive components of the model are crucial to users' assessments of the believability of the agent's interactions.
Can a rational agent afford to be affectless? a formal approach
- PsychologyAppl. Artif. Intell.
- 2002
It is suggested that emotions and rationality are closely linked in the human mind and, therefore, need to be included in architectures for designing rational artificial agents, whether these agents are to interact with humans, to model humans' behaviors and actions, or both.
Bayesian Affect Control Theory of Self
- PsychologyAAAI
- 2015
A Bayesian generalization of the sociological affect control theory of self is proposed, allowing it to be multi-modal, uncertain, and learnable (agents can learn the identities and selves of other agents).
A domain-independent framework for modeling emotion
- Computer ScienceCognitive Systems Research
- 2004
Affective Computing
- Computer Science
- 1997
Key issues in affective computing, " computing that relates to, arises from, or influences emotions", are presented and new applications are presented for computer-assisted learning, perceptual information retrieval, arts and entertainment, and human health and interaction.
HED: A Computational Model of Affective Adaptation and Emotion Dynamics
- PsychologyIEEE Transactions on Affective Computing
- 2013
A modified exponentially weighted average computational model of affective adaptation, which predicts its time course and the resulting affective dynamics, is presented and it is shown that the model is consistent with several previously reported characteristics of Affective dynamics.