2015 International Conference on Affective Computing and Intelligent Interaction (ACII)最新文献_第5页

Design of a wearable research tool for warm mediated social touches 设计一种可穿戴的研究工具，用于温暖介导的社会接触

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344694

Isabel Pfab, Christian J. A. M. Willemse

引用次数: 2

An ECA expressing appreciations 非洲经委会表示赞赏

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344691

Sabrina Campano, Caroline Langlet, N. Glas, C. Clavel, C. Pelachaud

{"title":"An ECA expressing appreciations","authors":"Sabrina Campano, Caroline Langlet, N. Glas, C. Clavel, C. Pelachaud","doi":"10.1109/ACII.2015.7344691","DOIUrl":"https://doi.org/10.1109/ACII.2015.7344691","url":null,"abstract":"In this paper, we propose a computational model that provides an Embodied Conversational Agent (ECA) with the ability to generate verbal other-repetition (repetitions of some of the words uttered in the previous user speaker turn) when interacting with a user in a museum setting. We focus on the generation of other-repetitions expressing emotional stances in appreciation sentences. Emotional stances and their semantic features are selected according to the user's verbal input, and ECA's utterance is generated according to these features. We present an evaluation of this model through users' subjective reports. Results indicate that the expression of emotional stances by the ECA has a positive effect oIn this paper, we propose a computational model that provides an Embodied Conversational Agent (ECA) with the ability to generate verbal other-repetition (repetitions of some of the words uttered in the previous user speaker turn) when interacting with a user in a museum setting. We focus on the generation of other-repetitions expressing emotional stances in appreciation sentences. Emotional stances and their semantic features are selected according to the user's verbal input, and ECA's utterance is generated according to these features. We present an evaluation of this model through users' subjective reports. Results indicate that the expression of emotional stances by the ECA has a positive effect on user engagement, and that ECA's behaviours are rated as more believable by users when the ECA utters other-repetitions.n user engagement, and that ECA's behaviours are rated as more believable by users when the ECA utters other-repetitions.","PeriodicalId":6863,"journal":{"name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","volume":"110 1","pages":"962-967"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85273604","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: 15

Monocular 3D facial information retrieval for automated facial expression analysis 用于自动面部表情分析的单目三维面部信息检索

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344634

Meshia Cédric Oveneke, Isabel Gonzalez, Weiyi Wang, D. Jiang, H. Sahli

{"title":"Monocular 3D facial information retrieval for automated facial expression analysis","authors":"Meshia Cédric Oveneke, Isabel Gonzalez, Weiyi Wang, D. Jiang, H. Sahli","doi":"10.1109/ACII.2015.7344634","DOIUrl":"https://doi.org/10.1109/ACII.2015.7344634","url":null,"abstract":"Understanding social signals is a very important aspect of human communication and interaction and has therefore attracted increased attention from various research areas. Among the different types of social signals, particular attention has been paid to facial expression of emotions and its automated analysis from image sequences. Automated facial expression analysis is a very challenging task due to the complex three-dimensional deformation and motion of the face associated to the facial expressions and the loss of 3D information during the image formation process. As a consequence, retrieving 3D spatio-temporal facial information from image sequences is essential for automated facial expression analysis. In this paper, we propose a framework for retrieving three-dimensional facial structure, motion and spatio-temporal features from monocular image sequences. First, we estimate monocular 3D scene flow by retrieving the facial structure using shape-from-shading (SFS) and combine it with 2D optical flow. Secondly, based on the retrieved structure and motion of the face, we extract spatio-temporal features for automated facial expression analysis. Experimental results illustrate the potential of the proposed 3D facial information retrieval framework for facial expression analysis, i.e. facial expression recognition and facial action-unit recognition on a benchmark dataset. This paves the way for future research on monocular 3D facial expression analysis.","PeriodicalId":6863,"journal":{"name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","volume":"15 1","pages":"623-629"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77674028","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: 3

Exploring dataset similarities using PCA-based feature selection 使用基于pca的特征选择探索数据集的相似性

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344600

Ingo Siegert, Ronald Böck, A. Wendemuth, Bogdan Vlasenko

引用次数: 6

The enduring basis of emotional episodes: Towards a capacious overview 情感事件的持久基础:走向一个广阔的概述

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344557

R. Cowie

引用次数: 2

Personality test based on eye tracking techniques 基于眼动追踪技术的性格测试

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344670

Yun Zhang, Wei Xin, D. Miao

引用次数: 1

Posed and spontaneous facial expression differentiation using deep Boltzmann machines 利用深度玻尔兹曼机器进行姿势和自发的面部表情区分

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344637

Quan Gan, Chongliang Wu, Shangfei Wang, Q. Ji

引用次数: 18

A temporally piece-wise fisher vector approach for depression analysis 一种用于抑郁分析的时间分段fisher向量方法

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344580

Abhinav Dhall, Roland Göcke

{"title":"A temporally piece-wise fisher vector approach for depression analysis","authors":"Abhinav Dhall, Roland Göcke","doi":"10.1109/ACII.2015.7344580","DOIUrl":"https://doi.org/10.1109/ACII.2015.7344580","url":null,"abstract":"Depression and other mood disorders are common, disabling disorders with a profound impact on individuals and families. Inspite of its high prevalence, it is easily missed during the early stages. Automatic depression analysis has become a very active field of research in the affective computing community in the past few years. This paper presents a framework for depression analysis based on unimodal visual cues. Temporally piece-wise Fisher Vectors (FV) are computed on temporal segments. As a low-level feature, block-wise Local Binary Pattern-Three Orthogonal Planes descriptors are computed. Statistical aggregation techniques are analysed and compared for creating a discriminative representative for a video sample. The paper explores the strength of FV in representing temporal segments in a spontaneous clinical data. This creates a meaningful representation of the facial dynamics in a temporal segment. The experiments are conducted on the Audio Video Emotion Challenge (AVEC) 2014 German speaking depression database. The superior results of the proposed framework show the effectiveness of the technique as compared to the current state-of-art.","PeriodicalId":6863,"journal":{"name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","volume":"23 1","pages":"255-259"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83298186","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: 48

Turing's menagerie: Talking lions, virtual bats, electric sheep and analogical peacocks: Common ground and common interest are necessary components of engagement 图灵的动物园:会说话的狮子、虚拟的蝙蝠、电子羊和模拟的孔雀:共同点和共同兴趣是参与的必要组成部分

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344689

G. McKeown

{"title":"Turing's menagerie: Talking lions, virtual bats, electric sheep and analogical peacocks: Common ground and common interest are necessary components of engagement","authors":"G. McKeown","doi":"10.1109/ACII.2015.7344689","DOIUrl":"https://doi.org/10.1109/ACII.2015.7344689","url":null,"abstract":"This theoretical paper attempts to define some of the key components and challenges required to create embodied conversational agents that can be genuinely interesting conversational partners. Wittgenstein's argument concerning talking lions emphasizes the importance of having a shared common ground as a basis for conversational interactions. Virtual bats suggests that-for some people at least-it is important that there be a feeling of authenticity concerning a subjectively experiencing entity that can convey what it is like to be that entity. Electric sheep reminds us of the importance of empathy in human conversational interaction and that we should provide a full communicative repertoire of both verbal and non-verbal components if we are to create genuinely engaging interactions. Also we may be making the task more difficult rather than easy if we leave out non-verbal aspects of communication. Finally, analogical peacocks highlights the importance of between minds alignment and establishes a longer term goal of being interesting, creative, and humorous if an embodied conversational agent is to be truly an engaging conversational partner. Some potential directions and solutions to addressing these issues are suggested.","PeriodicalId":6863,"journal":{"name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","volume":"20 1","pages":"950-955"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88076923","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: 5

Genre based emotion annotation for music in noisy environment 嘈杂环境下基于体裁的音乐情感标注

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344675

Yu-Hao Chin, Po-Chuan Lin, Tzu-Chiang Tai, Jia-Ching Wang

{"title":"Genre based emotion annotation for music in noisy environment","authors":"Yu-Hao Chin, Po-Chuan Lin, Tzu-Chiang Tai, Jia-Ching Wang","doi":"10.1109/ACII.2015.7344675","DOIUrl":"https://doi.org/10.1109/ACII.2015.7344675","url":null,"abstract":"The music listened by human is sometimes exposed to noise. For example, background noise usually exists when listening to music in broadcasts or lives. The noise will worsen the performance in various music emotion recognition systems. To solve the problem, this work constructs a robust system for music emotion classification in a noisy environment. Furthermore, the genre is considered when determining the emotional label for the song. The proposed system consists of three major parts, i.e. subspace based noise suppression, genre index computation, and support vector machine (SVM). Firstly, the system uses noise suppression to remove the noise content in the signal. After that, acoustical features are extracted from each music clip. Next, a dictionary is constructed by using songs that cover a wide range of genres, and it is adopted to implement sparse coding. Via sparse coding, data can be transformed to sparse coefficient vectors, and this paper computes genre indexes for the music genres based on the sparse coefficient vector. The genre indexes are regarded as combination weights in the latter phase. At the training stage of the SVM, this paper train emotional models for each genre. At the prediction stage, the predictions that obtained by emotional models in each genre are weighted combined across all genres using the genre indexes. Finally, the proposed system annotates multiple emotional labels for a song based on the combined prediction. The experimental result shows that the system can achieve a good performance in both normal and noisy environments.","PeriodicalId":6863,"journal":{"name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","volume":"29 1","pages":"863-866"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83086079","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: 4