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Examining the Impacts of Task Interval on Subjective Workload and Operational Behavior in a Multi-Conversational Agent Control System 多会话智能体控制系统中任务间隔对主观工作量和操作行为的影响研究
Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.982
Kyuhyeong Kim, Sungho Moon, Myungho Lee
{"title":"Examining the Impacts of Task Interval on Subjective Workload and Operational Behavior in a Multi-Conversational Agent Control System","authors":"Kyuhyeong Kim, Sungho Moon, Myungho Lee","doi":"10.9717/kmms.2023.26.8.982","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.982","url":null,"abstract":"This paper explores the effect of task interval within a multi-conversational agent control system on the perceived workload and operational behaviors of administrators. An experimental study was conducted employing three distinctive task intervals, namely 10s, 30s, and 60s, with a sample of 39 participants. The results indicated a direct correlation between shorter task intervals and increased subjective workload of administrators, which correspondingly resulted in expedited response times. On the contrary, longer intervals were associated with enhanced response quality and more meticulous behavior. Eye-tracking data analysis further provided insights into user engagement; shorter intervals heightened focus on chat content, while longer intervals led to an increase in distractions. The findings underscore the significance of task intervals as a pivotal mechanism for optimization of multi-conversational agent control systems and enhancement of conversation quality. For future work, we plan to investigate strategies aimed at mitigating administrators","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991823","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
Phishing Website Detection Model for User Decision Making Based on XAI 基于XAI的用户决策网络钓鱼网站检测模型
Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.1013
Daeyeob Kim
{"title":"Phishing Website Detection Model for User Decision Making Based on XAI","authors":"Daeyeob Kim","doi":"10.9717/kmms.2023.26.8.1013","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.1013","url":null,"abstract":"Phishing websites based on social engineering are significant cyber threats in the web environment. Recently, a number of studies have been implemented to detect phishing websites using AI (Artificial Intelligence), and they have demonstrated excellent detection performance. However, most of the proposed AI models are black-box. By the nature of black-box, it is difficult to explain how AI models determine if a website is phishing or not. Moreover, false negative is inevitable in the detection system using AI models. Therefore, it is unreliable to detect phishing websites based on the prediction result of an AI model. Because of these limitations, users need to interpret the output of an AI model and make the final decision. In this paper, we propose an interpretable phishing website detection model based on the XAI (eXplainable Artificial Intelligence) techniques so that users can make a reasonable decision with the interpretation of the outputs from the AI model.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991528","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
Enhanced CCTV Enclosure Record Management Model through DAG Blockchain 基于DAG区块链的闭路电视监控录像管理模型
Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.932
Kwan-Woo Yu, Byung-Mun Lee
{"title":"Enhanced CCTV Enclosure Record Management Model through DAG Blockchain","authors":"Kwan-Woo Yu, Byung-Mun Lee","doi":"10.9717/kmms.2023.26.8.932","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.932","url":null,"abstract":"Managing enclosures is necessary in order to safely transfer video stream of public CCTV. Smart enclosure monitoring system provides efficient management by providing operating status and environment of enclosures and blockchain based enclosure record management system provides data integrity to this end. However, the blockchain with linear structure has a limit on data rate for storing depending on the block generation cycle and size. If the amount of data over this limit, a bottleneck occurs. The bottleneck reduces availability of the system. Therefore, this paper proposes a directed acyclic graph blockchain based CCTV enclosure record management model to reduce the bottleneck. This model stores the record in blockchain of DAG structure and maintains its integrity. The blockchain increases throughput and reduces the bottleneck of the linear blockchain by storing multiple blocks at the same time. To evaluate the performance of this model, an experiment simulating the confirmation time of linear and DAG blockchain was conducted. As a result the linear blockchain showed a maximum time of 859 seconds and the DAG blockchain showed a maximum time of 12.9 seconds in an environment composed of 1500 nodes, confirming that the bottleneck was reduced.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991532","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
3D Scene Graph Generation Using Prior Knowledge from Large Language Model (LLM) 基于LLM先验知识的三维场景图生成
Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.859
Ho-Jun Baek, Incheol Kim
{"title":"3D Scene Graph Generation Using Prior Knowledge from Large Language Model (LLM)","authors":"Ho-Jun Baek, Incheol Kim","doi":"10.9717/kmms.2023.26.8.859","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.859","url":null,"abstract":"In this paper, we propose a novel 3D scene graph generation model, L3DSG, which can make use of rich prior knowledge obtained from large language model (LLM) by prompt engineering. The proposed model is built upon our previous 3D scene graph generation model, C3DSG, that adopts Point Transformer as 3D geometric feature extractor and uses the NE-GAT graph neural network as context reasoner. The new proposed model addresses the inability of C3DSG to utilize prior knowledge on indoor physical environments. It focuses on issues of how to obtain prior knowledge from LLM and how to make use of it for predicting objects and their relations effectively. The proposed model is extended from C3DSG by adding several elaborate modules to prompt, encode, and fuse prior knowledge from LLM. Through various experiments using the benchmark dataset 3DSSG, we show the superiority of the proposed model.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991695","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 Study on the Influence of Audience Satisfaction on Multinational Adapted Films －Adapted Movie 〈Heosamgwan〉 Focusing on 〈Chronicle of a Blood Merchant〉 － 观众满意度对跨国改编电影的影响研究——以《血商实录》为中心的改编电影《活三官b>
Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.1055
Yuan-Yuan Liu, Yeon-Woo Lee, Chee-Yong Kim
{"title":"A Study on the Influence of Audience Satisfaction on Multinational Adapted Films －Adapted Movie 〈Heosamgwan〉 Focusing on 〈Chronicle of a Blood Merchant〉 －","authors":"Yuan-Yuan Liu, Yeon-Woo Lee, Chee-Yong Kim","doi":"10.9717/kmms.2023.26.8.1055","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.1055","url":null,"abstract":"The Korean film 〈Heosamgwan〉 adapted from Yu Hua\"s novel 〈Chronicle of a Blood Merchant〉 is well received. Chinese and Korean scholars have made a lot of in-depth research on the adaptation of 〈Heosamgwan〉, from the narrative text to the adaptation strategy, but few of them have focused on the audience. In this study, a survey on satisfaction was conducted after watching the movie 〈Heosamgwan〉 for Chinese international students in Korea, and a SEM model was built based on the satisfaction theory. The relationship between storytelling, audiovisual effects, and emotional experience was analyzed through the model.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991675","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 Study on the Main Activities and Core Elements of Design Thinking 设计思维的主要活动与核心要素研究
Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.1086
An-Young Ryou, Won-Jun Son
{"title":"A Study on the Main Activities and Core Elements of Design Thinking","authors":"An-Young Ryou, Won-Jun Son","doi":"10.9717/kmms.2023.26.8.1086","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.1086","url":null,"abstract":"This study is a qualitative study to analyze the key elements of design thinking activity and actual application. In order to select survey participants, a deliberate sampling method was used, and 11 design experts with more than 6 years of design experience were interviewed to analyze the specific thinking process. Open coding, axial coding, and selective coding were conducted based on the grounded theory methodology using the recorded data as the original data. As a result of open coding, 93 concepts, 7 categories and 17 properties were derived. Axial coding was performed to present a paradigm model. Through the selective coding, intuitive thinking and analytical thinking were adopted as core categories of designer thinking method. In the important parts of the design work process, analysis of the subject, ideation and decisions for project direction and visualization of concepts, and finding a balance between creativity and applicability, concrete utilization methods were identified.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991688","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
Deep Learning based Wall Structure Object Extraction for 3D Building Modeling Automation 基于深度学习的三维建筑建模自动化墙体结构对象提取
Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.965
Hyeongjun Yoo, Gyeong-ro Rhee, Je-Ho Ryu, Seungjoo Lee, Jong-Hun Lee
{"title":"Deep Learning based Wall Structure Object Extraction for 3D Building Modeling Automation","authors":"Hyeongjun Yoo, Gyeong-ro Rhee, Je-Ho Ryu, Seungjoo Lee, Jong-Hun Lee","doi":"10.9717/kmms.2023.26.8.965","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.965","url":null,"abstract":"To create a digital twin, 3D modeling data that imitated represents the real-world is essential. However, people manually create modeling data by looking at photos or 3D scanning data. To address 3D modeling by hand, it is necessary to automatically extract information required for 3D modeling from 3D scanning data. In this paper, we propose a method based on deep learning-based 3D semantic segmentation and stochastic-based extraction of wall structure object from point clouds. We validate the performance of the proposed method by comparing the extracted wall structure object information from the initial point cloud with the actual 3D modeling.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991522","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
Ensemble-based Solar Power Prediction System Using Missing Value Interpolation Algorithm 基于缺失值插值算法的集成太阳能发电预测系统
Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.944
Su-Bin Park, Jin-Seong Kim, Se-Hoon Jung, Chun-Bo Sim
{"title":"Ensemble-based Solar Power Prediction System Using Missing Value Interpolation Algorithm","authors":"Su-Bin Park, Jin-Seong Kim, Se-Hoon Jung, Chun-Bo Sim","doi":"10.9717/kmms.2023.26.8.944","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.944","url":null,"abstract":"Environmental problems such as global warming due to excessive use of fossil fuels are becoming serious. In order to solve this problem, the supply of new and renewable energy is being activated, and the new and renewable energy market is also expanding. In particular, the share of solar and wind energy among new and renewable energies is rapidly increasing. However, uncertainty and volatility are inherent in renewable energy due to the characteristics of power generation that depend on natural conditions. This leads to a problem in which errors occur in the prediction of the amount of reserve energy required to secure the amount and cost of renewable energy generation. In this paper, we propose an ensemble-based solar power generation prediction system applying missing value interpolation algorithm. It predicts the amount of solar power generation by using weather forecast data from the Korea Meteorological Administration, and provides visualization and scheduling functions for the amount of power generation and predicted amount through a web page.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991676","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
Early Fire Detection System by Synthetic Dataset Automatic Generation Model Based on Digital Twin 基于数字孪生的合成数据集自动生成模型的早期火灾探测系统
Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.887
HyeonCheol Kim, Suk-Hwan Lee, Soo-Yol Ok
{"title":"Early Fire Detection System by Synthetic Dataset Automatic Generation Model Based on Digital Twin","authors":"HyeonCheol Kim, Suk-Hwan Lee, Soo-Yol Ok","doi":"10.9717/kmms.2023.26.8.887","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.887","url":null,"abstract":"The nature of fire is amorphous and its characteristics vary based on the space, environment, and materials involved. Particularly, early fire detection is a crucial task in preventing large-scale accidents. However, there is a significant lack of learnable early fire datasets for machine learning approaches. This study presents an early fire detection system tailored to specific spaces, achieved through a digital twin-based automatic fire learning data generation model. The proposed method starts by automatically generating realistic particle simulations to create synthetic fire data in RGB-D images. These images are matched to the view angle of monitoring cameras to replicate the digital twin environment closely resembling the actual space. In essence, our approach produces synthetic fire data that captures diverse fire scenarios unique to each specific location. Subsequently, these datasets are employed for transfer learning, enhancing the capabilities of state-of-the-art detection models. The improved models are then deployed on AIoT devices within the real space. This spatially optimized synthetic fire data generation process enhances the accuracy and reduces false detection rates in comparison to existing fire detection models that lack adaptability to specific spaces.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991679","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
Efficient Low-Rank Matrix Completion Updating Algorithm for Recommender System 推荐系统的高效低秩矩阵补全更新算法
Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.974
Geunseop Lee
{"title":"Efficient Low-Rank Matrix Completion Updating Algorithm for Recommender System","authors":"Geunseop Lee","doi":"10.9717/kmms.2023.26.8.974","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.974","url":null,"abstract":"Recommender systems aim to provide personalized item recommendations to users based on users ratings. However, not all ratings are provided by users, so the rating matrix, which summarizes the user-item interaction data, has many missing values. To fill out these missing values, matrix completion problem is considered. One of the most popular approaches to matrix completion problem is based on low-rank approximation of the rating matrix. To do this, singular value decomposition is required in every iteration, however it is prohibitively expensive when large-scale rating matrices are used. Additionally, recommender systems are frequently updated when a new user or item is added, or existing information is updated. In this paper, we propose a new matrix completion algorithm by recycling the existing information to speed up the computation when a small part of the rating matrix is updated instead of computing the matrix completion from scratch. Experimental results demonstrate that our algorithm is very attractive when the rating matrix is updated frequently by showing that our algorithm has significantly faster execution speed while producing very similar or even better accuracy than the other algorithms.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991519","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
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