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2018 11th International Conference on Human System Interaction (HSI)最新文献

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A Biofeedback System that Uses the Game to Study Electrical Muscle Activity 利用游戏研究肌肉电活动的生物反馈系统
2018 11th International Conference on Human System Interaction (HSI) Pub Date : 2018-07-01 DOI: 10.1109/HSI.2018.8431367
P. Troka, Hubert Toczko, Piotr Przystup, M. Kaczmarek
{"title":"A Biofeedback System that Uses the Game to Study Electrical Muscle Activity","authors":"P. Troka, Hubert Toczko, Piotr Przystup, M. Kaczmarek","doi":"10.1109/HSI.2018.8431367","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431367","url":null,"abstract":"The aim of this project was to design a system that will allow performing repetitive muscle exercises using a biofeedback device. It is supposed to enhance the motivation and attractiveness of the performed tasks thanks to an interactive game developed for mobile devices with the Android operating system. The built-in calibration mechanisms enable the users to play a game that is independent of their abilities which evens out the level of all players. The data in the form of EMG signal is gathered directly from the patient's body's surface in real-time and is sent wirelessly for further processing. While testing the system's efficiency, two types of calibration processes used in the mobile application were carried out.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127845163","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
The Gricean Maxims of Quantity and of Relation in the Turing Test 图灵测试中的Gricean量和关系准则
2018 11th International Conference on Human System Interaction (HSI) Pub Date : 2018-07-01 DOI: 10.1109/HSI.2018.8431328
Baptiste Jacquet, Jean Baratgin, Frank Jamet
{"title":"The Gricean Maxims of Quantity and of Relation in the Turing Test","authors":"Baptiste Jacquet, Jean Baratgin, Frank Jamet","doi":"10.1109/HSI.2018.8431328","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431328","url":null,"abstract":"Previous research in the field of cognitive science has demonstrated the relevance of measuring reaction times to describe the cognitive cost of processing information, yet it has seldom been studied in the context of conversations and, to our knowledge, never in free flowing, interactive conversations. This study presents a way of analyzing entire online conversations in a protocol inspired by the Turing Test to investigate the relation between violations of Grice's Cooperation Principle and the response times of the participants. We hypothesized that response times are directly correlated to the cognitive cost required to generate implicatures from a statement. Our results show that violations of the maxim of Relation significantly increased the response time, especially for female participants. This confirms that measuring response times during a conversation can be a simple and relevant way of inferring the cognitive cost of processing an utterance.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130908806","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: 9
Haptic Perception of Virtual Spring Stiffness Using ExoTen-Glove 基于ExoTen-Glove的虚拟弹簧刚度触觉感知
2018 11th International Conference on Human System Interaction (HSI) Pub Date : 2018-07-01 DOI: 10.1109/HSI.2018.8431166
M. Hosseini, Ali Sengül, Y. Pane, J. Schutter, H. Bruyninckx
{"title":"Haptic Perception of Virtual Spring Stiffness Using ExoTen-Glove","authors":"M. Hosseini, Ali Sengül, Y. Pane, J. Schutter, H. Bruyninckx","doi":"10.1109/HSI.2018.8431166","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431166","url":null,"abstract":"This paper presents a study of haptic perception of virtual stiffness and the influence of visual feedback in virtual reality. In this study, a novel and lightweight haptic glove (ExoTen-Glove) based on Twisted String Actuation (TSA) system is presented and evaluated. This system has two independent TSA modules with integrated force sensors and small-size DC motors. ExoTen-Glove provides force feedback to the users during the execution of grasping virtual objects. The overall design, the controller and the preliminary experimental evaluation of the ExoTen-Glove have been shown in this paper. Different experiments have been performed in virtual reality environment using HTC VIVE headset with 2 degrees of freedom grasping tasks, squeezing a pair of virtual springs with the participant's thumb and index fingers. The aim of this study is to illustrate the benefit of using ExoTen-Glove to distinguish stiffness of a pair of virtual springs and the role of the visual feedback. The results show that the users use not only haptic cues but also use visual cues in detecting spring stiffness difference.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133145809","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
Deep Self-Organizing Maps for Visual Data Mining 用于可视化数据挖掘的深度自组织映射
2018 11th International Conference on Human System Interaction (HSI) Pub Date : 2018-07-01 DOI: 10.1109/HSI.2018.8430845
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, M. Manic
{"title":"Deep Self-Organizing Maps for Visual Data Mining","authors":"Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, M. Manic","doi":"10.1109/HSI.2018.8430845","DOIUrl":"https://doi.org/10.1109/HSI.2018.8430845","url":null,"abstract":"Visual data mining facilitates the involvement of domain experts in the data mining processes. The effectiveness of visual data mining is especially dominant when paired with unsupervised methods due to the abundance of unlabeled data. Deep Self-Organizing Maps (DSOMs) are unsupervised learning architectures capable of high level feature abstraction. In this paper, we analyze the effectiveness of using DSOMs for visual data mining. DSOM's visual data mining capability was evaluated using the following visual data explorations methodologies: 1) U-Matrix, 2) hit maps and 3) data histograms. In comparison with traditional single layered SOM architectures, experimental results showed that DSOMs produced more accurate visual representations of the underlying data distributions. Therefore, DSOM is a viable method for generating easily understandable visual representations of high-dimensional complex datasets. These visual representations can be powerful tools in the real world, leading to better understanding of systems and thus enabling the design of better algorithms for control and monitoring.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115908436","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: 6
Associative Graph Data Structures with an Efficient Access via AVB+trees 通过AVB+树高效访问关联图数据结构
2018 11th International Conference on Human System Interaction (HSI) Pub Date : 2018-07-01 DOI: 10.1109/HSI.2018.8430973
A. Horzyk
{"title":"Associative Graph Data Structures with an Efficient Access via AVB+trees","authors":"A. Horzyk","doi":"10.1109/HSI.2018.8430973","DOIUrl":"https://doi.org/10.1109/HSI.2018.8430973","url":null,"abstract":"This paper introduces a new efficient associative graph data structure with efficient access to all stored data inspired by biological neural networks and associative brain-like approaches. It also introduces new self-balancing, self-organizing, and self-sorting AVB+trees which not only store data but it also allows for replacing many search operations with this structure. This structure aggregates representations of all duplicated of values and objects. It also allows for faster computation of many useful functions as medians, average, minima, maxima, neighbor values in the defined order etc. It always stores all data in order for all attributes simultaneously. Automatic aggregations of duplicates allow it for access to all stored data in less than logarithmic time. These associative structures can also be successfully used as a kind of artificial neural network for classification, clustering, various inferences, estimation of similarities, differences, or correlations of the stored objects.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128584257","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: 6
Context-Based Multimodal Output for Human-Robot Collaboration 基于上下文的人机协作多模态输出
2018 11th International Conference on Human System Interaction (HSI) Pub Date : 2018-07-01 DOI: 10.1109/HSI.2018.8431264
Magdalena Kaiser, Christian Bürckert
{"title":"Context-Based Multimodal Output for Human-Robot Collaboration","authors":"Magdalena Kaiser, Christian Bürckert","doi":"10.1109/HSI.2018.8431264","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431264","url":null,"abstract":"Research on multimodal systems for human-robot interaction mostly focuses on the processing of inputs. Yet, the output is equally important: A robot that is able to use different modalities in an interaction appears more natural and can be understood more easily. In this paper, we present our multimodal fission framework, called MMF framework, which is a framework for incorporating planning criteria to select the most suitable set of modalities based on information about the interaction context. We describe our input and output layer, present an algorithm for an automated selection of suitable attributes for referencing objects verbally as well as a simple assessment of the suitability of pointing gestures in the given context. Furthermore, we describe a new approach for the modality and device selection as formulation of constraint optimization problems. In the end, we will report the results of a user study, which has been conducted to evaluate the generated multimodal output.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130944003","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
Toward Explainable Deep Neural Network Based Anomaly Detection 基于可解释深度神经网络的异常检测
2018 11th International Conference on Human System Interaction (HSI) Pub Date : 2018-07-01 DOI: 10.1109/HSI.2018.8430788
Kasun Amarasinghe, K. Kenney, M. Manic
{"title":"Toward Explainable Deep Neural Network Based Anomaly Detection","authors":"Kasun Amarasinghe, K. Kenney, M. Manic","doi":"10.1109/HSI.2018.8430788","DOIUrl":"https://doi.org/10.1109/HSI.2018.8430788","url":null,"abstract":"Anomaly detection in industrial processes is crucial for general process monitoring and process health assessment. Deep Neural Networks (DNNs) based anomaly detection has received increased attention in recent work. Albeit their high accuracy, the black-box nature of DNNs is a drawback in practical deployment. Especially in industrial anomaly detection systems, explanations of DNN detected anomalies are crucial. This paper presents a framework for DNN based anomaly detection which provides explanations of detected anomalies. The framework answers the following questions during online processing: 1) “why is it an anomaly?” and 2) “what is the confidence?” Further, the framework can be used offline to evaluate the “knowledge” of the trained DNN. The framework reduces the opaqueness of the DNN based anomaly detector and thus improves human operators' trust in the algorithm. This paper implements the first steps of the presented framework on the benchmark KDD-NSL dataset for Denial of Service (DoS) attack detection. Offline DNN explanations showed that the DNN was detecting DoS attacks based on features indicating destination of connection, frequency and amount of data transferred while showing an accuracy around 97%.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122054442","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: 81
BandReader - A Mobile Application for Data Acquisition from Wearable Devices in Affective Computing Experiments BandReader——情感计算实验中可穿戴设备数据采集的移动应用
2018 11th International Conference on Human System Interaction (HSI) Pub Date : 2018-07-01 DOI: 10.1109/HSI.2018.8431271
K. Kutt, G. J. Nalepa, Barbara Gizycka, P. Jemioło, M. Adamczyk
{"title":"BandReader - A Mobile Application for Data Acquisition from Wearable Devices in Affective Computing Experiments","authors":"K. Kutt, G. J. Nalepa, Barbara Gizycka, P. Jemioło, M. Adamczyk","doi":"10.1109/HSI.2018.8431271","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431271","url":null,"abstract":"As technology becomes more ubiquitous and pervasive, special attention should be given to human-computer interaction, especially to the aspect related to the emotional states of the user. However, this approach assumes very specif c mode of data collection and storage. This data is used in the affective computing experiments for human emotion recognition. In the paper we describe a new software solution for mobile devices that allows for data acquisition from wristbands. The application reads physiological signals from wristbands and supports multiple recent devices. In our work we focus on the Heart Rate (HR) and Galvanic Skin Response (GSR) readings. The recorded data is conveniently stored in CSV fles, ready for further interpretation. We provide the evaluation of our application with several experiments. The results indicate that the BandReader is a reliable software for data acquisition in affective computing scenarios.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123931392","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
Improved Situational Awareness in ROS Using Panospheric Vision and Virtual Reality 利用全景视觉和虚拟现实技术提高ROS的态势感知能力
2018 11th International Conference on Human System Interaction (HSI) Pub Date : 2018-07-01 DOI: 10.1109/HSI.2018.8431062
V. Vunder, R. Valner, Conor McMahon, Karl Kruusamäe, M. Pryor
{"title":"Improved Situational Awareness in ROS Using Panospheric Vision and Virtual Reality","authors":"V. Vunder, R. Valner, Conor McMahon, Karl Kruusamäe, M. Pryor","doi":"10.1109/HSI.2018.8431062","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431062","url":null,"abstract":"One of the main difficulties in teleoperated systems is providing an operator with sufficient Situational Awareness (SA). This paper introduces three open-source packages that improve the operator's SA using the Robot Operating System (ROS). The first package-rviz_textured_sphere-allows rendering panospheric camera outputs as spherical images in the ROS visualization software RViz. A system where the visualization of this spherical data using an open-source virtual reality (OSVR) headset in the ROS framework is achieved with the second package: rviz_plugin_osvr. Finally, the third package-pointcloud_painter-projects spherical data onto a 3D depth cloud scan of the scene generated from a rotating lidar. This package outputs a XYZRGB pointcloud that can be visualized either in RViz or using the virtual reality headset. Together, these technologies address the wider issue of limited SA in robotics and represent a substantial advancement in the environment visualization capabilities available to open-source robotics developers.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124294395","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: 6
Predicting and Generating Wallpaper Texture with Semantic Properties 利用语义属性预测和生成墙纸纹理
2018 11th International Conference on Human System Interaction (HSI) Pub Date : 2018-07-01 DOI: 10.1109/HSI.2018.8431359
Xiaohan Feng, Lin Qi, Yanhai Gan, Ying Gao, Hui Yu, Junyu Dong
{"title":"Predicting and Generating Wallpaper Texture with Semantic Properties","authors":"Xiaohan Feng, Lin Qi, Yanhai Gan, Ying Gao, Hui Yu, Junyu Dong","doi":"10.1109/HSI.2018.8431359","DOIUrl":"https://doi.org/10.1109/HSI.2018.8431359","url":null,"abstract":"Humans naturally use semantic descriptions to express their visual perception of textures; this is also the fact for perception and description of wallpaper texture. Classification of wallpaper's style is mainly based on understanding of visual information. However, the complexity of real-world wallpaper images is difficult to be captured by existing datasets. Inspired by a publicly available Procedural Textures Dataset, a number of wallpaper images was collected and assembled into a wallpaper dataset. A series of psychophysical experiments was performed to further collect semantic descriptions for this dataset. Each wallpaper was labeled with 5–10 semantic descriptions. More importantly, our dataset contains complex wallpaper images with rich annotations. To our best knowledge, our dataset is the first public wallpaper dataset with semantic descriptions. We use label distribution to analysis semantic descriptions and texture characteristics. Furthermore, a texture generation method based on GAN was tested using our wallpaper dataset, which produced state-of-the-art results.","PeriodicalId":441117,"journal":{"name":"2018 11th International Conference on Human System Interaction (HSI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122989823","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
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