Neurocognitive Affective System for an Emotive Robot

Park, Gunn-Yong; Lee, Seung-Ik; Kwon, Woo-Young; Kim, Joongbae

doi:10.1109/iros.2006.281937

Cited by 15 publications

(10 citation statements)

References 7 publications

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“…There were multiple events such as the appearance and disappearance of fruits, and the love and hate events to agents. The JD_E of the robot was appraised by the combinational transitions of LH_O (③ of Figure 3) and LH_A (⑤ of Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 4 January 2021 doi:10.20944/preprints202007.0498.v2 Figure 3) according to (4). The transition from LH_O was computed by summation of the positive and negative events with the emotional combination rate (0.9) when the robot encounter the fruits, and the transition from LH_A was also calculated with the integration of positive and negative LH_A.…”

Section: S4mentioning

confidence: 99%

Contextual Emotion Appraisal Based on a Sentential Cognitive System for Robots

Ahn¹,

Park²

2021

Preprint

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Emotion plays a powerful role in humans’ interaction with robots. In order to express more human-friendly emotions, robots need the capability of contextual appraisal that expresses the emotional relevance of various targets in the spatiotemporal situation. In this paper, an emotional appraisal methodology is proposed in this study to cope with such contexts. Specifically, the Ortony, Clore, and Collins model is abstracted and simplified to approximate an emotional appraisal model in the form of a sentence-based cognitive system. The contextual emotion appraisal is modeled by formulating the emotional relationships among multiple targets and the emotional transition with events and time passing. To verify the proposed robotic system’s feasibility, simulations were conducted for scenarios where it emotional interacts with humans manipulating liked or disliked objects on a table. This experiment demonstrated that the robot's emotion can variously change over time like human by using a proposed formula for emotional valence, which is moderated by emotion appraisal of occurring events.

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Section: S4mentioning

confidence: 99%

Contextual Emotion Appraisal Based on a Sentential Cognitive System for Robots

Ahn¹,

Park²

2021

Preprint

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“…The more relevant work to this paper is that done on modelling emotions in cognitive architectures to produce emotional agents [3,4,43,[73][74][75], which proved to be far more difficult technically, questionable to validate, and slow to progress generally.…”

Section: Internal Modelling Of Emotionsmentioning

confidence: 99%

Models for Computational Emotions from Psychological Theories Using Type I Fuzzy Logic

Ayesh

Blewitt

2014

Cogn Comput

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Emotions have been subject of research and deliberation in philosophy and psychology mainstream for a long time. In contrast, emotions have only emerged in artificial intelligence research as a serious topic in the last two decades. Year 2000, in particular, experienced a shift in attitude towards emotions and their relationship to human reasoning and human-computer interaction. This shift continued slowly but surely over the years and computational emotions can be seen as a mainstream research topic within artificial intelligence and cognitive systems. In this paper, we attempt to contribute to the development of this area by interpreting psychological theories of emotions computationally and translating them into machine implementable models. These models are generic and application independent which most of the current computational emotions models lack. We have selected two psychological theories, namely Millenson (The psychology of emotion: theories of emotion perspective, vol 4. Wiley, New Jersey, pp [35][36] 1967) and Scherer (Soc Sci Inf 44(4): 2005), that lend themselves, with varying degrees of difficulty, to the computational interpretation. Fuzzy logic was utilised as a tool to keep the fidelity of psychological interpretation of emotion. The paper discusses in details the computational interpretation of these psychological models and presents a full theoretical formalism in fuzzy logic type 1, implementation and detailed analysis of this psychologically grounded generic computational models.

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“…An affective robot involves understanding human emotion and expressing believable emotion to humans, where the latter need to define the robot's emotional states and their expressions. Studies have focused on how emotions should be expressed on a robot's face [1,2] and in its voice [3], and how emotions should be appraised based on recognized information or stimulation [4,5]. One of the most significant studies on robots simulating emotion involves MIT's social robot Kismet [3].…”

Section: Introductionmentioning

confidence: 99%

Contextual Emotion Appraisal Based on a Sentential Cognitive System for Robots

Ahn

Park

2021

Applied Sciences

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Emotion plays a powerful role in human interaction with robots. In order to express more human-friendly emotions, robots need the capability of contextual appraisal that expresses the emotional relevance of various targets in the spatiotemporal situation. In this paper, an emotional appraisal methodology is proposed to cope with such contexts. Specifically, the Ortony, Clore, and Collins model is abstracted and simplified to approximate an emotional appraisal model in the form of a sentence-based cognitive system. The contextual emotion appraisal is modeled by formulating the emotional relationships among multiple targets and the emotional transition with events and time passing. To verify the proposed robotic system’s feasibility, simulations were conducted for scenarios where it interacts with humans manipulating liked or disliked objects on a table. This experiment demonstrated that the robot’s emotion could change over time like humans by using a proposed formula for emotional valence, which is moderated by emotion appraisal of occurring events.

show abstract

Neurocognitive Affective System for an Emotive Robot

Cited by 15 publications

References 7 publications

Contextual Emotion Appraisal Based on a Sentential Cognitive System for Robots

Contextual Emotion Appraisal Based on a Sentential Cognitive System for Robots

Models for Computational Emotions from Psychological Theories Using Type I Fuzzy Logic

Contextual Emotion Appraisal Based on a Sentential Cognitive System for Robots

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