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Affective Computing and Intelligent Interaction: 2nd International Conference, ACII 2007 Lisbon, Portugal, September 12-14, 2007 Proceedings
Ana C. R. Paiva ; Rui Prada ; Rosalind W. Picard (eds.)
En conferencia: 2º International Conference on Affective Computing and Intelligent Interaction (ACII) . Lisbon, Portugal . September 12, 2007 - September 14, 2007
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Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
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No detectada | 2007 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-74888-5
ISBN electrónico
978-3-540-74889-2
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2007
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2007
Tabla de contenidos
Lexical Affect Sensing: Are Affect Dictionaries Necessary to Analyze Affect?
Alexander Osherenko; Elisabeth André
Recently, there has been considerable interest in the automated recognition of affect from written and spoken language. In this paper, we investigate how information on a speaker’s affect may be inferred from lexical features using statistical methods. Dictionaries of affect offer great promise to affect sensing since they contain information on the affective qualities of single words or phrases that may be employed to estimate the emotional tone of the corresponding dialogue turn. We investigate to what extent such information may be extracted from general-purpose dictionaries in comparison to specialized dictionaries of affect. In addition, we report on results obtained for a dictionary that was tailored to our corpus.
- Affective Text and Dialogue Processing | Pp. 230-241
Affective Text Variation and Animation for Dynamic Advertisement
Carlo Strapparava; Alessandro Valitutti; Oliviero Stock
The largest part of the advertising market is already electronic. This means there is an opportunity for automatizing some of the production processes, such as producing and rendering catchy language expressions. A system is described that produces creative, affective variations of familiar textual expressions and animates them according to the affective contents. The textual variations are based on lexical semantics techniques such as an algorithm that looks for affective similarity, and on concepts such as optimal innovation, realized through assonant substitutions. Animation results from the realization of a scripting language for kinetic typography. The combination of affective variation and automatic affective perceptual rendering of key elements in the resulting expression is meant to guarantee effectiveness in advertising communication.
- Affective Text and Dialogue Processing | Pp. 242-253
Entertainment Modeling in Physical Play Through Physiology Beyond Heart-Rate
Georgios N. Yannakakis; John Hallam
An investigation into capturing the relation of physiology, beyond heart rate recording, to expressed preferences of entertainment in children’s physical gameplay is presented in this paper. An exploratory survey experiment raises the difficulties of isolating elements derived (solely) from heart rate recordings attributed to reported entertainment and a control experiment for surmounting those difficulties is proposed. Then a survey experiment on a larger scale is devised where more physiological signals (Blood Volume Pulse and Skin Conductance) are collected and analyzed. Given effective data collection a set of numerical features is extracted from the child’s physiological state. A preference learning mechanism based on neuro-evolution is used to construct a function of single physiological features that models the players’ notion of ‘fun’ for the games under investigation. Performance of the model is evaluated by the degree to which the preferences predicted by the model match those expressed by the children. Results indicate that there appears to be increased mental/emotional effort in preferred games of children.
- Recognising Affect Using Physiological Measures | Pp. 254-265
Comprehension of Users’ Subjective Interaction States During Their Interaction with an Artificial Agent by Means of Heart Rate Variability Index
Takanori Komatsu; Sho’ichiro Ohtsuka; Kazuhiro Ueda; Takashi Komeda
The purpose of this study is to investigate whether users’ subjective interaction states which indicate whether they feel comfortable interacting with artificial agents can be comprehended by means of biological index. As a biological index, we focused on the heart rate variability and used an RSA ratio for the time period when the respiratory sinus arrhythmia (RSA) value is higher than the Mayer wave sinus arrhythmia (MWSA) value divided by the total interaction period. To clarify the effectiveness of this RSA ratio, we conducted two experiments to measure this index among participants who played a simple cooperation game with an artificial agent, which either responded as the participant desired or responded randomly. The results showed that the RSA ratio determined the subjective interaction state which indicated whether they felt comfortable or uncomfortable with their interactions with the agents.
- Recognising Affect Using Physiological Measures | Pp. 266-277
Facial Activation Control Effect (FACE)
Toni Vanhala; Veikko Surakka
The present study was the first in line of a series of experiments investigating the possibilities of using voluntarily produced physiological signals in computer-assisted therapy. The current aim was to find out whether computer-guided voluntary facial activations have an effect on autonomous nervous system activity. Twenty-seven participants performed a series of voluntary facial muscle activations, while wireless electrocardiography and subjective experiences were recorded. Each task consisted of activating either the muscle (activated when frowning) or the muscle (activated when smiling) at one of three activation intensities (i.e. low, medium, and high). Our results showed a voluntary facial activation control effect (FACE) on psychological (i.e. level of experience) and physiological activity. Different muscle activations produced both task-specific emotional experiences and significant changes in heart rate and heart rate variability. Low intensity activations of both muscles were the most effective, easy to perform, and pleasant. We conclude that the FACE can clearly open the route for regulating involuntary physiological processes.
- Recognising Affect Using Physiological Measures | Pp. 278-289
Music, Heart Rate, and Emotions in the Context of Stimulating Technologies
Jenni Anttonen; Veikko Surakka
The present aim was to explore heart rate responses when stimulating participants with technology primarily aimed at the rehabilitation of older adults. Heart rate responses were measured from 31 participants while they listened to emotionally provoking negative, neutral, and positive musical clips. Ratings of emotional experiences were also collected. The results showed that heart rate responses to negative musical stimuli differed significantly from responses to neutral stimuli. The use of emotion-related physiological responses evoked by stimulating devices offers a possibility to enhance, for example, emotionally stimulating or otherwise therapeutic sessions.
- Recognising Affect Using Physiological Measures | Pp. 290-301
A Multi-method Approach to the Assessment of Web Page Designs
S. J. Westerman; E. J. Sutherland; L. Robinson; H. Powell; G. Tuck
This study used self-report, facial EMG, galvanic skin response, and eye tracking to assess users’ participants’ responses to two charity web sites. For each site, page content and colour of presentation (colour versus black & white) were manipulated. Results support the utility and diversity of these measures. Each provided information about users’ responses to web page designs, with a good deal of variation in sensitivity to experimental manipulations. In combination the data from these measures allowed further inferences to be drawn, supporting a multi-dimensional view of user experience and the need for multi-method approaches to evaluation.
- Recognising Affect Using Physiological Measures | Pp. 302-313
Rational Agents That Blush
Paolo Turrini; John-Jules Ch. Meyer; Cristiano Castelfranchi
A student, supported by his classmates, throws a piece of chalk at the teacher who is writing on the blackboard. The teacher rapidly turns back and promptly catches him in the act. The student blushes and suddenly realizes how bad it was what he did.
- Computational Models of Emotion and Theoretical Foundations | Pp. 314-325
Wishful Thinking Revision
César F. Pimentel; Maria R. Cravo
Wishful thinking is an affective bias towards more pleasant interpretations/beliefs. We model wishful thinking effects, to some extent, with a belief revision theory: . By modeling tendencies to believe in goals, “disliked situations” appear as “contradicting beliefs” (the target of belief revision). Furthermore, the current set of beliefs is selected according to an assessment of preference that accounts for rational factors, as well as an affective factor: “likeability”.
- Computational Models of Emotion and Theoretical Foundations | Pp. 326-337
An Empathic Rational Dialog Agent
Magalie Ochs; Catherine Pelachaud; David Sadek
Recent research has shown that virtual agent able to express empathic emotions enhances human-machine interaction. In this paper, we present the capabilities that virtual agent should have to be empathic toward a user. Moreover, we propose a computational representation of emotions which may be experienced by a user during a human-machine dialog. This semantically grounded formal representation enables a rational dialog agent to identify from a dialogical situation the empathic emotion and its intensity that he should express.
- Computational Models of Emotion and Theoretical Foundations | Pp. 338-349