2015 International Conference on Affective Computing and Intelligent Interaction (ACII)最新文献_第4页

How do designers feel textiles? 设计师如何看待纺织品?

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344695

B. Petreca, S. Baurley, N. Bianchi-Berthouze

{"title":"How do designers feel textiles?","authors":"B. Petreca, S. Baurley, N. Bianchi-Berthouze","doi":"10.1109/ACII.2015.7344695","DOIUrl":"https://doi.org/10.1109/ACII.2015.7344695","url":null,"abstract":"Studying tactile experience is important and timely, considering how this channel is being harnessed both in terms of human interaction and for technological developments that rely on it to enhance experience of products and services. Research into tactile experience to date is present mostly within the social context, but there are not many studies on the understanding of tactile experience in interaction with objects. In this paper, we use textiles as a case study to investigate how we can get people to talk about this experience, and to understand what may be important to consider when designing technology to support it. We present a qualitative exploratory study using the `Elicitation Interview' method to obtain a first-person verbal description of experiential processes. We conducted an initial study with 6 experienced professionals from the fashion and textiles area. The analysis revealed that there are two types of touch behaviour in experiencing textiles, active and passive, which happen through `Active hand', `Passive body' and `Active tool-hand'. They can occur in any order, and with different degrees of importance and frequency in the 3 tactile-based phases of the textile selection process - `Situate', `Simulate' and `Stimulate' - and the interaction has different modes in each. We discuss these themes to inform the design of technology for affective touch in the textile field, but also to explore a methodology to uncover the complexity of affective touch and its various purposes.","PeriodicalId":6863,"journal":{"name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","volume":"36 1","pages":"982-987"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87246422","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: 20

Decoupling facial expressions and head motions in complex emotions 解耦复杂情绪中的面部表情和头部动作

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344583

Andra Adams, M. Mahmoud, T. Baltrušaitis, P. Robinson

引用次数: 42

Region-based image retrieval based on medical media data using ranking and multi-view learning 基于排序和多视图学习的医学媒体数据区域图像检索

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344672

Wei Huang, Shuru Zeng, Guang Chen

引用次数: 3

Inducing an ironic effect in automated tweets 在自动推特中产生讽刺效果

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344565

A. Valitutti, T. Veale

引用次数: 8

An experimental study of speech emotion recognition based on deep convolutional neural networks 基于深度卷积神经网络的语音情感识别实验研究

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344669

W. Zheng, Jian Yu, Yuexian Zou

{"title":"An experimental study of speech emotion recognition based on deep convolutional neural networks","authors":"W. Zheng, Jian Yu, Yuexian Zou","doi":"10.1109/ACII.2015.7344669","DOIUrl":"https://doi.org/10.1109/ACII.2015.7344669","url":null,"abstract":"Speech emotion recognition (SER) is a challenging task since it is unclear what kind of features are able to reflect the characteristics of human emotion from speech. However, traditional feature extractions perform inconsistently for different emotion recognition tasks. Obviously, different spectrogram provides information reflecting difference emotion. This paper proposes a systematical approach to implement an effectively emotion recognition system based on deep convolution neural networks (DCNNs) using labeled training audio data. Specifically, the log-spectrogram is computed and the principle component analysis (PCA) technique is used to reduce the dimensionality and suppress the interferences. Then the PCA whitened spectrogram is split into non-overlapping segments. The DCNN is constructed to learn the representation of the emotion from the segments with labeled training speech data. Our preliminary experiments show the proposed emotion recognition system based on DCNNs (containing 2 convolution and 2 pooling layers) achieves about 40% classification accuracy. Moreover, it also outperforms the SVM based classification using the hand-crafted acoustic features.","PeriodicalId":6863,"journal":{"name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","volume":"19 1","pages":"827-831"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84317516","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: 145

Improving emotion classification on Chinese microblog texts with auxiliary cross-domain data 基于辅助跨域数据的中文微博文本情感分类改进

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344668

Huimin Wu, Qin Jin

引用次数: 3

Engagement: A traceable motivational concept in human-robot interaction 参与:人机交互中可追溯的动机概念

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344690

Karl Drejing, Serge Thill, Paul E. Hemeren

{"title":"Engagement: A traceable motivational concept in human-robot interaction","authors":"Karl Drejing, Serge Thill, Paul E. Hemeren","doi":"10.1109/ACII.2015.7344690","DOIUrl":"https://doi.org/10.1109/ACII.2015.7344690","url":null,"abstract":"Engagement is essential to meaningful social interaction between humans. Understanding the mechanisms by which we detect engagement of other humans can help us understand how we can build robots that interact socially with humans. However, there is currently a lack of measurable engagement constructs on which to build an artificial system that can reliably support social interaction between humans and robots. This paper proposes a definition, based on motivation theories, and outlines a framework to explore the idea that engagement can be seen as specific behaviors and their attached magnitude or intensity. This is done by the use of data from multiple sources such as observer ratings, kinematic data, audio and outcomes of interactions. We use the domain of human-robot interaction in order to illustrate the application of this approach. The framework further suggests a method to gather and aggregate this data. If certain behaviors and their attached intensities co-occur with various levels of judged engagement, then engagement could be assessed by this framework consequently making it accessible to a robotic platform. This framework could improve the social capabilities of interactive agents by adding the ability to notice when and why an agent becomes disengaged, thereby providing the interactive agent with an ability to reengage him or her. We illustrate and propose validation of our framework with an example from robot-assisted therapy for children with autism spectrum disorder. The framework also represents a general approach that can be applied to other social interactive settings between humans and robots, such as interactions with elderly people.","PeriodicalId":6863,"journal":{"name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","volume":"7 1","pages":"956-961"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86910778","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: 11

Estimate the intimacy of the characters based on their emotional states for application to non-task dialogue 根据角色的情绪状态来评估他们的亲密度，以便应用于非任务对话

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344591

Kazuyuki Matsumoto, Kyosuke Akita, Minoru Yoshida, K. Kita, F. Ren

{"title":"Estimate the intimacy of the characters based on their emotional states for application to non-task dialogue","authors":"Kazuyuki Matsumoto, Kyosuke Akita, Minoru Yoshida, K. Kita, F. Ren","doi":"10.1109/ACII.2015.7344591","DOIUrl":"https://doi.org/10.1109/ACII.2015.7344591","url":null,"abstract":"Recently, a portable digital device equipped with voice guidance has been widely used with increasing the demand for the usability-conscious dialogue system. One of the problems with the existing dialogue system is its immature application to non-task dialogue. Non-task-oriented dialogue requires some schemes that enable smooth and flexible conversations with a user. For example, it would be possible to go beyond the closed relationship between the system and the user by considering the user's relationship with others in real life. In this paper, we focused on the dialogue made by the two characters in a drama scenario, and tried to express their relationship with a scale of “intimacy degree.” There will be such various elements related to the intimacy degree as the frequency of response to the utterance and the attitude of a speaker during the dialogue. We focused on the emotional state of the speaker during the utterance and tried to realize intimacy estimation with higher accuracy. As the evaluation result, we achieved higher accuracy in intimacy estimation than the existing method based on speech role.","PeriodicalId":6863,"journal":{"name":"2015 International Conference on Affective Computing and Intelligent Interaction (ACII)","volume":"66 1","pages":"327-333"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85614794","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: 1

Exploring sources of variation in human behavioral data: Towards automatic audio-visual emotion recognition

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344653

Yelin Kim

引用次数: 2

The Belfast storytelling database: A spontaneous social interaction database with laughter focused annotation 贝尔法斯特讲故事数据库:一个以笑声为中心的自发社会互动数据库

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI: 10.1109/ACII.2015.7344567

G. McKeown, W. Curran, J. Wagner, F. Lingenfelser, E. André

引用次数: 19