Proceedings of the 20th ACM International Conference on Multimodal Interaction最新文献_第6页

Adaptive Review for Mobile MOOC Learning via Multimodal Physiological Signal Sensing - A Longitudinal Study 基于多模态生理信号传感的移动MOOC学习自适应回顾——一项纵向研究

Proceedings of the 20th ACM International Conference on Multimodal Interaction Pub Date : 2018-10-02 DOI: 10.1145/3242969.3243002

Phuong Pham, Jingtao Wang

引用次数: 12

Gazeover -- Exploring the UX of Gaze-triggered Affordance Communication for GUI Elements Gazeover——探索凝视触发的GUI元素可视性交流的用户体验

Proceedings of the 20th ACM International Conference on Multimodal Interaction Pub Date : 2018-10-02 DOI: 10.1145/3242969.3242987

Ilhan Aslan, Michael Dietz, E. André

{"title":"Gazeover -- Exploring the UX of Gaze-triggered Affordance Communication for GUI Elements","authors":"Ilhan Aslan, Michael Dietz, E. André","doi":"10.1145/3242969.3242987","DOIUrl":"https://doi.org/10.1145/3242969.3242987","url":null,"abstract":"The user experience (UX) of graphical user interfaces (GUIs) often depends on how clearly visual designs communicate/signify \"affordances\", such as if an element on the screen can be pushed, dragged, or rotated. Especially for novice users figuring out the complexity of a new interface can be cumbersome. In the \"past\" era of mouse-based interaction mouseover effects were successfully utilized to trigger a variety of assistance, and help users in exploring interface elements without causing unintended interactions and associated negative experiences. Today's GUIs are increasingly designed for touch and lack a method similiar to mouseover to help (novice) users to get acquainted with interface elements. In order to address this issue, we have studied gazeover, as a technique for triggering \"help or guidance\" when a user's gaze is over an interactive element, which we believe is suitable for today's touch interfaces. We report on a user study comparing pragmatic and hedonic qualities of gazeover and mouseover, which showed significant higher ratings in hedonic quality for the gazeover technique. We conclude by discussing limitations and implications of our findings.","PeriodicalId":308751,"journal":{"name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131805344","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

Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection 介绍了一种用于耐磨应力和影响检测的多模态数据集WESAD

Proceedings of the 20th ACM International Conference on Multimodal Interaction Pub Date : 2018-10-02 DOI: 10.1145/3242969.3242985

P. Schmidt, Attila Reiss, R. Dürichen, C. Marberger, Kristof Van Laerhoven

{"title":"Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection","authors":"P. Schmidt, Attila Reiss, R. Dürichen, C. Marberger, Kristof Van Laerhoven","doi":"10.1145/3242969.3242985","DOIUrl":"https://doi.org/10.1145/3242969.3242985","url":null,"abstract":"Affect recognition aims to detect a person's affective state based on observables, with the goal to e.g. improve human-computer interaction. Long-term stress is known to have severe implications on wellbeing, which call for continuous and automated stress monitoring systems. However, the affective computing community lacks commonly used standard datasets for wearable stress detection which a) provide multimodal high-quality data, and b) include multiple affective states. Therefore, we introduce WESAD, a new publicly available dataset for wearable stress and affect detection. This multimodal dataset features physiological and motion data, recorded from both a wrist- and a chest-worn device, of 15 subjects during a lab study. The following sensor modalities are included: blood volume pulse, electrocardiogram, electrodermal activity, electromyogram, respiration, body temperature, and three-axis acceleration. Moreover, the dataset bridges the gap between previous lab studies on stress and emotions, by containing three different affective states (neutral, stress, amusement). In addition, self-reports of the subjects, which were obtained using several established questionnaires, are contained in the dataset. Furthermore, a benchmark is created on the dataset, using well-known features and standard machine learning methods. Considering the three-class classification problem ( baseline vs. stress vs. amusement ), we achieved classification accuracies of up to 80%,. In the binary case ( stress vs. non-stress ), accuracies of up to 93%, were reached. Finally, we provide a detailed analysis and comparison of the two device locations ( chest vs. wrist ) as well as the different sensor modalities.","PeriodicalId":308751,"journal":{"name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122386607","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: 500

Multi-Modal Multi sensor Interaction between Human andHeterogeneous Multi-Robot System 人与异构多机器人系统的多模态多传感器交互

Proceedings of the 20th ACM International Conference on Multimodal Interaction Pub Date : 2018-10-02 DOI: 10.1145/3242969.3264971

S. Mahi

引用次数: 1

Detecting User's Likes and Dislikes for a Virtual Negotiating Agent 检测用户的喜欢和不喜欢的一个虚拟谈判代理

Proceedings of the 20th ACM International Conference on Multimodal Interaction Pub Date : 2018-10-02 DOI: 10.1145/3242969.3243024

Caroline Langlet, C. Clavel

引用次数: 7

Path Word: A Multimodal Password Entry Method for Ad-hoc Authentication Based on Digits' Shape and Smooth Pursuit Eye Movements 路径词:一种基于数字形状和平滑追踪眼球运动的自组织认证多模态密码输入方法

Proceedings of the 20th ACM International Conference on Multimodal Interaction Pub Date : 2018-10-02 DOI: 10.1145/3242969.3243008

Almoctar Hassoumi, Pourang Irani, Vsevolod Peysakhovich, C. Hurter

{"title":"Path Word: A Multimodal Password Entry Method for Ad-hoc Authentication Based on Digits' Shape and Smooth Pursuit Eye Movements","authors":"Almoctar Hassoumi, Pourang Irani, Vsevolod Peysakhovich, C. Hurter","doi":"10.1145/3242969.3243008","DOIUrl":"https://doi.org/10.1145/3242969.3243008","url":null,"abstract":"We present PathWord (PATH passWORD), a multimodal digit entry method for ad-hoc authentication based on known digits shape and user relative eye movements. PathWord is a touch-free, gaze-based input modality, which attempts to decrease shoulder surfing attacks when unlocking a system using PINs. The system uses a modified web camera to detect the user's eye. This enables suppressing direct touch, making it difficult for passer-bys to be aware of the input digits, thus reducing shoulder surfing and smudge attacks. In addition to showing high accuracy rates (Study 1: 87.1% successful entries) and strong confidentiality through detailed evaluations with 42 participants (Study 2), we demonstrate how PathWord considerably diminishes the potential of stolen passwords (on average 2.38% stolen passwords with PathWord vs. over 90% with traditional PIN screen). We show use-cases of PathWord and discuss its advantages over traditional input modalities. We envision PathWord as a method to foster confidence while unlocking a system through gaze gestures.","PeriodicalId":308751,"journal":{"name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129160128","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: 22

Multimodal Control of Lighter-Than-Air Agents 轻于空气药剂的多模式管制

Proceedings of the 20th ACM International Conference on Multimodal Interaction Pub Date : 2018-10-02 DOI: 10.1145/3242969.3266296

D. Lofaro, D. Sofge

引用次数: 4

Towards Attentive Speed Reading on Small Screen Wearable Devices 在小屏幕可穿戴设备上实现专注的快速阅读

Proceedings of the 20th ACM International Conference on Multimodal Interaction Pub Date : 2018-10-02 DOI: 10.1145/3242969.3243009

Wei Guo, Jingtao Wang

引用次数: 1

Floor Apportionment and Mutual Gazes in Native and Second-Language Conversation 母语和第二语言对话中的楼层分配和相互注视

Proceedings of the 20th ACM International Conference on Multimodal Interaction Pub Date : 2018-10-02 DOI: 10.1145/3242969.3242991

Ichiro Umata, Koki Ijuin, T. Kato, Seiichi Yamamoto

引用次数: 2

Video-based Emotion Recognition Using Deeply-Supervised Neural Networks 基于视频的深度监督神经网络情感识别

Proceedings of the 20th ACM International Conference on Multimodal Interaction Pub Date : 2018-10-02 DOI: 10.1145/3242969.3264978

Yingruo Fan, J. Lam, V. Li

引用次数: 66