2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops最新文献_第10页

The hinterland of emotions: Facing the open-microphone challenge 情感的腹地:面对开放麦克风的挑战

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops Pub Date : 2009-12-08 DOI: 10.1109/ACII.2009.5349499

S. Steidl, A. Batliner, Björn Schuller, Dino Seppi

引用次数: 41

A Bayesian framework for video affective representation 视频情感表示的贝叶斯框架

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops Pub Date : 2009-12-08 DOI: 10.1109/ACII.2009.5349563

M. Soleymani, Joep J. M. Kierkels, G. Chanel, T. Pun

{"title":"A Bayesian framework for video affective representation","authors":"M. Soleymani, Joep J. M. Kierkels, G. Chanel, T. Pun","doi":"10.1109/ACII.2009.5349563","DOIUrl":"https://doi.org/10.1109/ACII.2009.5349563","url":null,"abstract":"Emotions that are elicited in response to a video scene contain valuable information for multimedia tagging and indexing. The novelty of this paper is to introduce a Bayesian classification framework for affective video tagging that allows taking contextual information into account. A set of 21 full length movies was first segmented and informative content-based features were extracted from each shot and scene. Shots were then emotionally annotated, providing ground truth affect. The arousal of shots was computed using a linear regression on the content-based features. Bayesian classification based on the shots arousal and content-based features allowed tagging these scenes into three affective classes, namely calm, positive excited and negative excited. To improve classification accuracy, two contextual priors have been proposed: the movie genre prior, and the temporal dimension prior consisting of the probability of transition between emotions in consecutive scenes. The f1 classification measure of 54.9% that was obtained on three emotional classes with a naïve Bayes classifier was improved to 63.4% after utilizing all the priors.","PeriodicalId":330737,"journal":{"name":"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116658086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 76

Estimation of user interest using time delay features between proactive content presentation and eye movements 利用主动内容呈现和眼球运动之间的时间延迟特征估计用户兴趣

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops Pub Date : 2009-12-08 DOI: 10.1109/ACII.2009.5349258

Jean-Baptiste Dodane, Takatsugu Hirayama, H. Kawashima, T. Matsuyama

引用次数: 2

Understanding behavioral problems in text-based communication using neuroscientific perspective 从神经科学的角度理解文本交流中的行为问题

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops Pub Date : 2009-12-08 DOI: 10.1109/ACII.2009.5349572

D. Gokcay, S. Arikan, Gülsen Yildirim

{"title":"Understanding behavioral problems in text-based communication using neuroscientific perspective","authors":"D. Gokcay, S. Arikan, Gülsen Yildirim","doi":"10.1109/ACII.2009.5349572","DOIUrl":"https://doi.org/10.1109/ACII.2009.5349572","url":null,"abstract":"In face-to-face communication, humans handle a variety of inputs in addition to the target content. Many affective clues such as facial expressions, body postures, and characteristics of speech, environmental sensory inputs, and even the mood of the interacting parties influence the overall meaning extracted from communication. However, text-based computer mediated communication (i.e., instant messaging, email, chat) generally exhibit poor media content in terms of these inputs. In particular, peers communicating through computer mediated communication (CMC) are usually prone to make wrong emotional judgments. Because of the tight connectivity of emotion and cognition, emotional judgment errors cause errors in the perception of the received message and shift behavioral preference toward fearless, disinherited, aggressive, and deceptive content in the responses. In this study, we are putting forward a cognitive neuroscience perspective to show the similarity between the behavioral problems brought by the text-based CMC platforms and cognitive and emotional behavioral problems exhibited by brain damaged patient populations. We present brief examples of behavioral deficits observed in amygdala and/or orbito-frontal cortex (OFC) damaged patients and show that these deficits bear striking similarities with those in text-based CMC platforms. While we consider ourselves to communicate similarly in face-to-face and computerized text-based environments, our brains produce dissimilar cognitive input and output in these two separate environments. Our conclusion is: when the communication problems introduced by the limited social cues in email and chat are seen in the light of the neurology perspective, developing solutions for these problems will become a priority issue.","PeriodicalId":330737,"journal":{"name":"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128592042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Assessing the validity of a computational model of emotional coping 评估情绪应对计算模型的有效性

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops Pub Date : 2009-12-08 DOI: 10.1109/ACII.2009.5349584

S. Marsella, J. Gratch, Ning Wang, B. Stankovic

引用次数: 21

Real-time vocal emotion recognition in artistic installations and interactive storytelling: Experiences and lessons learnt from CALLAS and IRIS 艺术装置中的实时声音情感识别和互动故事叙述:CALLAS和IRIS的经验和教训

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops Pub Date : 2009-12-08 DOI: 10.1109/ACII.2009.5349501

Thurid Vogt, E. André, J. Wagner, Stephen W. Gilroy, Fred Charles, M. Cavazza

引用次数: 7

GraphLaugh: A tool for the interactive generation of humorous puns GraphLaugh:幽默双关语的交互式生成工具

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops Pub Date : 2009-12-08 DOI: 10.1109/ACII.2009.5349529

A. Valitutti, O. Stock, C. Strapparava

{"title":"GraphLaugh: A tool for the interactive generation of humorous puns","authors":"A. Valitutti, O. Stock, C. Strapparava","doi":"10.1109/ACII.2009.5349529","DOIUrl":"https://doi.org/10.1109/ACII.2009.5349529","url":null,"abstract":"While automatic generation of funny texts delivers incrementally better results, for the time being semiautomatic generation can already provide something useful. In particular, we present an interactive system for producing humorous puns obtained through variation (i.e., word substitution) performed on familiar expressions. The replacement word is selected according to phonetic similarity and semantic constraints expressing semantic opposition or evoking ridiculous traits of people. Examples of these puns are Chaste makes waste (variation on proverb) and Genital Hospital (variation on soap opera title). Lexical substitution is the humorous core on which funniness of pun is based. We implemented an interactive tool (called GraphLaugh) that can automatically generate different type of lexical associations and visualize them through a dynamic graph. Through the interaction with the network nodes and arcs, the user can control the selection of words, semantic associations and familiar expressions. In this way, a restrict set of familiar expressions are filtered, the best word substitutions to apply them are easily individuated, and finally a list of funny puns is created.","PeriodicalId":330737,"journal":{"name":"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114338234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

AffectButton: Towards a standard for dynamic affective user feedback AffectButton:朝着动态情感用户反馈的标准迈进

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops Pub Date : 2009-12-08 DOI: 10.1109/ACII.2009.5349347

J. Broekens, Willem-Paul Brinkman

引用次数: 52

Natural affect data — Collection & annotation in a learning context 自然影响数据-在学习环境中的收集和注释

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops Pub Date : 2009-12-08 DOI: 10.1109/ACII.2009.5349537

S. Afzal, P. Robinson

引用次数: 74

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops Pub Date : 2009-12-08 DOI: 10.1109/ACII.2009.5349480

Moritz Lehne, K. Ihme, A. Brouwer, J. V. van Erp, T. Zander

引用次数: 25