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

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

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

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

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

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

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

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

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