2022 15th International Conference on Human System Interaction (HSI)最新文献_第6页

Psychosocial Demands and the Acceptance of Mental Health Risk Monitoring Systems at Work 心理社会需求和工作场所对心理健康风险监测系统的接受程度

2022 15th International Conference on Human System Interaction (HSI) Pub Date : 2022-07-28 DOI: 10.1109/HSI55341.2022.9869508

V. Rick, Christopher Brandl, Alexander Mertens, V. Nitsch

{"title":"Psychosocial Demands and the Acceptance of Mental Health Risk Monitoring Systems at Work","authors":"V. Rick, Christopher Brandl, Alexander Mertens, V. Nitsch","doi":"10.1109/HSI55341.2022.9869508","DOIUrl":"https://doi.org/10.1109/HSI55341.2022.9869508","url":null,"abstract":"High levels of mental workload can precipitate an inability to cope with job demands, increase the risk of serious mental and physical health issues, as well as contribute towards long-term sick leave, or early retirement. Monitoring health risk factors using psychophysiological measurement methods can raise individuals’ awareness of changes in their vital signs and optimal individual workload range. However, the perceived usefulness and the resulting acceptance is imperative for the implementation of such technologies at the workplace. Hence, a study was conducted that aimed at providing insight into how psychosocial demands at work affect the perceived usefulness of mental health risk monitoring systems and how this influences the behavioral intention to actually use such systems. For this purpose, an online survey was conducted with N=493 office workers. Results indicate that a direct positive relationship between quantitative demands and perceived usefulness of health monitoring technologies, as well as an indirect positive relationship with behavioral intention exits. The results can help to understand the factors influencing the acceptance of technologies for monitoring occupational health risks, thus facilitating the use of technologies for health promotion at the workplace.","PeriodicalId":282607,"journal":{"name":"2022 15th International Conference on Human System Interaction (HSI)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116171998","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: 0

A method for distinguishing between involuntary and voluntary blinks based on graphene sensor 一种基于石墨烯传感器的非自愿和自愿眨眼识别方法

2022 15th International Conference on Human System Interaction (HSI) Pub Date : 2022-07-28 DOI: 10.1109/HSI55341.2022.9869506

Mengyuan Qu, Hongrui Zuo, Wenjun Yang, Y. Niu

引用次数: 0

Comparative Evaluation of Gradient Boosting with Active Thresholding and Model Explainability for Peak Demand Forecasting 高峰需求预测中梯度提升主动阈值与模型可解释性的比较评价

2022 15th International Conference on Human System Interaction (HSI) Pub Date : 2022-07-28 DOI: 10.1109/HSI55341.2022.9869462

Sachin Kahawala, D. Haputhanthri, Harsha Moraliyage, Shashini Wimalaratne, D. Alahakoon, Andrew Jennings

{"title":"Comparative Evaluation of Gradient Boosting with Active Thresholding and Model Explainability for Peak Demand Forecasting","authors":"Sachin Kahawala, D. Haputhanthri, Harsha Moraliyage, Shashini Wimalaratne, D. Alahakoon, Andrew Jennings","doi":"10.1109/HSI55341.2022.9869462","DOIUrl":"https://doi.org/10.1109/HSI55341.2022.9869462","url":null,"abstract":"The rapid advancement of the energy sector in terms of diverse energy generation options and increasing energy consumption loads has eventuated the need for highly accurate demand forecasting methods. The prevalence of large volumes of energy data streams and sophisticated Artificial Intelligence (AI) algorithms has enabled a rapid transition to AI-based forecasting methods that are more accurate and computationally efficient. Despite this transition, demand forecasting during peak events and peak temporal periods continues to be a challenge due to the irregularity and transience of such events. Besides the challenge of managing supply and demand, the financial viability of forecasting is also questioned when the forecast decreases in accuracy during peak periods when the energy price is an increasing function. In this paper, we have set out to address the challenge of peak demand forecasting by specifically transforming both input vectors and input attributes of the smart meter data streams. Input vectors are transformed using active thresholding while input attributes are transformed into a feature subset using model explainability. We have evaluated the effectiveness of this data transformation on the current state-of-the-art AI for energy demand forecasting, gradient boosting. We conduct a comparative evaluation using two real-world energy consumption datasets drawn from the La Trobe Energy AI/Analytics Platform (LEAP), of La Trobe University’s Net Zero Carbon Emissions Program. The proposed approach surpasses the baseline approach in both datasets, with an improvement of 27% for the second dataset which is a high energy consumption setting.","PeriodicalId":282607,"journal":{"name":"2022 15th International Conference on Human System Interaction (HSI)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128806973","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

Comparison of image pre-processing methods in liver segmentation task 肝脏分割任务中图像预处理方法的比较

2022 15th International Conference on Human System Interaction (HSI) Pub Date : 2022-07-28 DOI: 10.1109/HSI55341.2022.9869505

Kamil Kaczor, Paweł Nadachowski, Maksymilian Operlejn, Artur Piastowski, M. Zielonka, Jan Cychnerski, A. Kwaśniewska

引用次数: 0

Interactive Painting Volumetric Cloud Scenes with Simple Sketches Based on Deep Learning 基于深度学习的简单草图交互式绘画体积云场景

2022 15th International Conference on Human System Interaction (HSI) Pub Date : 2022-07-28 DOI: 10.1109/HSI55341.2022.9869481

Lida Huang, M. Eladhari, S. Magnússon, Thomas Westin, Nanxu Su

引用次数: 0

Deep learning approach on surface EEG based Brain Computer Interface 基于表面脑电图的脑机接口深度学习方法

2022 15th International Conference on Human System Interaction (HSI) Pub Date : 2022-07-28 DOI: 10.1109/HSI55341.2022.9869461

Lukasz Radzinski, Tomasz Kocejko

引用次数: 1

Fine-Grained Soccer Actions Classification Using Deep Neural Network 基于深度神经网络的细粒度足球动作分类

2022 15th International Conference on Human System Interaction (HSI) Pub Date : 2022-07-28 DOI: 10.1109/HSI55341.2022.9869480

Anik Sen, Syed Md. Minhaz Hossain, M. Russo, K. Deb, K. Jo

{"title":"Fine-Grained Soccer Actions Classification Using Deep Neural Network","authors":"Anik Sen, Syed Md. Minhaz Hossain, M. Russo, K. Deb, K. Jo","doi":"10.1109/HSI55341.2022.9869480","DOIUrl":"https://doi.org/10.1109/HSI55341.2022.9869480","url":null,"abstract":"Action recognition from video data modal is contemplation about recognizing features in spatial position and characterizing the temporal changes across these extracted spatial features. Soccer video action recognition is a categorized field of video action recognition. Soccer sports have enormous viewers across the globe, and there is a significant commercial impact on the broadcasters. High inter-class similarities of various soccer actions symbolize the fine-grained nature of action recognition. Soccer matches are broadcasted live and captured using shifting cameras rather than stationary cameras. The fine-grained nature of soccer actions and shifting camera possessions make the recognition more intricate than the coarse-grained. There exist only limited researches that address this issue. To this extent, we propose a deep learning approach that successfully categorizes ten different soccer actions from our custom-developed SoccerAct10 dataset. Feature extraction is accomplished utilizing transfer learning from state-of-the-art convolutional neural networks (CNN) models such as DenseNet201, InceptionResNetV2, MobileNetV2, ResNet152V2, and Xception. All these models were trained on a massive ImageNet dataset. Long short-term memory (LSTM), with the input features from CNN, models the temporal changes of soccer actions. LSTM has already proven its success in tackling the vanishing gradient. At the final layer, the softmax activation function yields the distributions of probabilities of each soccer action. Empirical evaluation demystifies the effectiveness of our proposed approach, distinguishing ten distinct soccer actions with 90% accuracy.","PeriodicalId":282607,"journal":{"name":"2022 15th International Conference on Human System Interaction (HSI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124639364","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: 0

Gait analysis using body-installed RGB-D camera and inertial sensors 使用人体安装的RGB-D相机和惯性传感器进行步态分析

2022 15th International Conference on Human System Interaction (HSI) Pub Date : 2022-07-28 DOI: 10.1109/HSI55341.2022.9869451

Y. Suh, Duc Cong Dang

引用次数: 0

Programmable smart articulated interface 可编程智能铰接接口

2022 15th International Conference on Human System Interaction (HSI) Pub Date : 2022-07-28 DOI: 10.1109/HSI55341.2022.9869504

Ahmed Amine Chafik, J. Gaber, S. Tayane, M. Ennaji

{"title":"Programmable smart articulated interface","authors":"Ahmed Amine Chafik, J. Gaber, S. Tayane, M. Ennaji","doi":"10.1109/HSI55341.2022.9869504","DOIUrl":"https://doi.org/10.1109/HSI55341.2022.9869504","url":null,"abstract":"The programmable matter has paved the way for the emergence of new paradigms in the fields of computer science, design, Haptics, and material science. Several kinetic-based approaches have been developed to represent an object via surface deformation using a set of patterned actuators. Therefore, a loss of shape is noticed in the physical rendering as the actuation is applied in a single direction. This work considers a deformable interface having a chained architecture, in which smart materials such as shape memory alloy are used as a controllable hinge mechanism allowing to perform bidirectional self-folding capabilities. Such an interface can render 3D models through two main operations: NURBS slicing and segment fitting operations. More precisely, models are downscaled to match the configuration of the interface (chains × hinges per a chain), then angles are exported and replicated by the controllable shape memory effect of shape memory alloy using the Joule effect. Unlike the existing architectures, this approach affords to render a physical model with a low digital to physical conversion loss by means of its geometric complexity (e.g., cavities, lateral shape variation). The proposed approach has been modeled and validated through numerical simulation using COMSOL Multiphysics® software.","PeriodicalId":282607,"journal":{"name":"2022 15th International Conference on Human System Interaction (HSI)","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114243576","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: 0

Systems Dynamics Modeling for Evaluating Socio-Technical Vulnerabilities in Advanced Persistent Threats 高级持续威胁中评估社会技术漏洞的系统动力学建模

2022 15th International Conference on Human System Interaction (HSI) Pub Date : 2022-07-28 DOI: 10.1109/HSI55341.2022.9869450

Mathew Nicho, S. Girija

{"title":"Systems Dynamics Modeling for Evaluating Socio-Technical Vulnerabilities in Advanced Persistent Threats","authors":"Mathew Nicho, S. Girija","doi":"10.1109/HSI55341.2022.9869450","DOIUrl":"https://doi.org/10.1109/HSI55341.2022.9869450","url":null,"abstract":"The paper focus on the application of Systems Dynamics Modelling (SDM) for simulating socio-technical vulnerabilities of Advanced Persistent Threats (APT) to unravel Human Computer Interaction (HCI) for strategic visibility of threat actors. SDM has been widely applied to analyze nonlinear, complex, and dynamic systems in social sciences and technology. However, its application in the cyber security domain especially APT that involve complex and dynamic human computer interaction is a promising but scant research domain. While HCI deals with the interaction between one or more humans and between one or more computers for greater usability, this same interactive process is exploited by the APT actor. In this respect, using a data breach case study, we applied the socio-technical vulnerabilities classification as a theoretical lens to model socio and technical vulnerabilities on systems dynamics using Vensim software. The variables leading to the breach were identified, entered into Vensim software, and simulated to get the results. The results demonstrated an optimal interactive mix of one or more of the six socio variables and three technical variables leading to the data breach. SDM approach thus provides insights into the dynamics of the threat as well as throw light on the strategies to undertake for minimizing APT risks. This can assist in the reduction of the attack surface and reinforce mitigation efforts (prior to exfiltration) should an APT attack occur. In this paper, we thus propose and validate the application of system dynamics approach for designing a dynamic threat assessment framework for socio-technical vulnerabilities of APT.","PeriodicalId":282607,"journal":{"name":"2022 15th International Conference on Human System Interaction (HSI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120962295","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: 0