Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy最新文献

{"title":"Optimization of Human Machine Interface Beauty Calculation System","authors":"Chi Yueyue, Yunfei Chen","doi":"10.54941/ahfe1002900","DOIUrl":"https://doi.org/10.54941/ahfe1002900","url":null,"abstract":"Ngo et al. proposed 13 quantitative indicators to measure interface\u0000 beauty in 2003, but the weight of each quantitative indicator was not\u0000 determined, and the role of users' subjective emotional factors was not\u0000 considered. Based on the calculation system of interface beauty proposed by\u0000 Ngo et al., this paper uses factor analysis method to determine the\u0000 correlation and weight of various quantitative indicators to simplify the\u0000 calculation method of interface beauty, uses the analytic hierarchy process\u0000 method to consider the user's subjective emotional factors, and proposes a\u0000 new calculation of interface beauty to better guide the interface design\u0000 optimization.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121851214","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}

{"title":"The design guide and scenario of virtual reality education APP","authors":"Qiaoling Zou, Zishun Su, L. Zou, Dongning Li","doi":"10.54941/ahfe1002903","DOIUrl":"https://doi.org/10.54941/ahfe1002903","url":null,"abstract":"Virtual reality education App is the product of the application of\u0000 virtual reality technology in education, it is a new paradigm of educational\u0000 technology in the digital age. In this study, Kano model was used to assess\u0000 the learners' needs for specific design elements in the virtual reality\u0000 education App from the perspective of user needs. Through the survey method\u0000 verification, the learner has the high expectation to 7 attributes, carries\u0000 on the optimization design to these aspects to have the good effect.\u0000 According to the results, the concrete design scheme of virtual reality\u0000 education App is summarized in order to guide the development of virtual\u0000 reality education App in the future.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121357316","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}

{"title":"A Data Driven Approach for Language Acquisition","authors":"Ting Liu, S. Small, James R. Kubricht, Peter Tu, Harry Shen, Lydia Cartwright, Samuil Orlioglu","doi":"10.54941/ahfe1002842","DOIUrl":"https://doi.org/10.54941/ahfe1002842","url":null,"abstract":"Automatic Language Acquisition focuses on teaching an agent to acquire\u0000 knowledge to understand the surrounding environment and be adaptive to a new\u0000 environment. The traditional language understanding models fall into three\u0000 main categories, supervised, semi-supervised, and unsupervised. A supervised\u0000 approach is usually accurate but requires a large training dataset, which\u0000 building process is expensive and time consuming. In addition, the trained\u0000 model is difficult to shift to other domains. On the other hand, building an\u0000 unsupervised model is cheap and flexible, but its performance is usually\u0000 significantly lower than the performance of the supervised one. With a\u0000 relatively small set of guidance at the beginning, a semi-supervised\u0000 approach can teach itself through the unlabeled dataset to achieve a\u0000 comparable performance as a supervised modal. However, building the guidance\u0000 is not a trivial task since the learning process won’t be effective if the\u0000 relationship between labeled data and unlabeled data. Different from the\u0000 traditional modals, when children learn, they do not require large amounts\u0000 of training data. Instead, they can accurately generalize their knowledge\u0000 from one object to other objects. In addition, the communication between\u0000 them and their parents/teachers/peers helps to fix the wrong claims from the\u0000 generalization. In this paper, we present a multimodal system that simulates\u0000 the children’s learning process to acquire the knowledge of the entities by\u0000 studying three types of attributes, descriptive (the outlook of an entity),\u0000 defining (the components of an entity), and affordance (how an entity can be\u0000 used). We first utilize an unsupervised Emergent Language (EL) approach to\u0000 generate symbolic language (EL codes) to interpret the given images of the\u0000 entities (10 images per entity). The K-Mean clustering methods to group\u0000 entity images that share the similar EL code. Then we employ a data driven\u0000 approach to teach the agent the attributes of the entities in the clusters.\u0000 We first calculate the tf-idf scores of the words from the text pieces\u0000 (extracted from Corpus of Contemporary American English, a balanced corpus\u0000 for American English) containing an entity. From the top ranked words with a\u0000 few sample text pieces, the human expert tells which words are attributes\u0000 and the attribute type. The human expert also marked the text pieces having\u0000 the attributes. For example, red is the descriptive attribute of cup in “the\u0000 red cup’ but not in “a cup of red wine”. The learned knowledge is sent to a\u0000 bootstrapping modal to find not only new attributes but also new entities.\u0000 Our system results show that the data driven approach spent much less time\u0000 but learned more attributes compared with the baseline of our system,\u0000 teaching the agent the defining attributes of the entities using a carefully\u0000 designed curriculum.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125313600","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}

{"title":"The Implementation of Competency-Based Training and Assessment (CBTA)\u0000 Framework in Aviation Intelligence Human Systems.","authors":"Dimitrios Ziakkas, Abner Del Cid Flores, Michael W Suckow","doi":"10.54941/ahfe1002911","DOIUrl":"https://doi.org/10.54941/ahfe1002911","url":null,"abstract":"At the current stage, one of the most critical aspects of workforce\u0000 planning in Human Resources Management (HRM) entails ensuring that employees\u0000 possess the appropriate skills and competencies to fulfill the\u0000 organization's job description requirements. The global competitiveness in\u0000 the modern aviation business has undergone a profound change (Intelligence\u0000 Human Systems Integration) and the proliferation of a diverse network of\u0000 low-cost and traditional carriers that has increased the reach, breadth, and\u0000 frequency of traditional passenger-carrying services. As a result of the\u0000 constantly expanding gap between demand and supply for qualified and highly\u0000 competent experts in Intelligence Human Systems Integration, airline\u0000 recruiters are under increasing pressure to find novel techniques for\u0000 attracting and communicating with potential employees.This study aims to\u0000 develop a strategy for incorporating the Competency-Based Training and\u0000 Assessment (CBTA) framework into aviation personnel planning, training and\u0000 management of the Intelligence Human Systems Integration - change. Research\u0000 objectives include a theoretical study of the CBTA framework, an examination\u0000 of the existing state of human resources planning, training and operations;\u0000 the identification of the pilot performance gaps and the function of quality\u0000 training; and a recommendation for adopting the CBTA framework in aviation\u0000 human resources framework and Intelligence Human Systems Integration. When\u0000 establishing the worldwide CBTA framework for the aviation industry, the\u0000 authors analyzed the controlling elements and trends in the industry,\u0000 proposing a global approach of managing the Intelligence Human Systems\u0000 Integration - change.The components of putting the CBTA framework into\u0000 action were considered in light of the pandemic repercussions. According to\u0000 the findings of the subsequent study, aviation programs should encourage\u0000 learning beyond the minimum knowledge requirements during the ab initio\u0000 phase of the training, as well as provide opportunities for ongoing\u0000 education and emphasize the quality of education rather than the quantity\u0000 (building hours), implementing new aspects of technology (AI). As a result\u0000 of the research, several conclusions have been formed, and one of them is\u0000 that the demand for human factors is a top priority in the aviation\u0000 business. This demand is affected by organizational culture, resistance to\u0000 technological change, and legislative employment constraints.In the\u0000 following study, a synthesis of the Lean Six Sigma (L6) strategy and\u0000 implementation of the CBTA framework is proposed as an alternative to the\u0000 existing method in many countries, which restricts management of change and\u0000 causes unneeded organizational pressure. Additional recommendations include\u0000 implementing validated CBTA – EBT / psychological applications during the\u0000 implementation process and management of change to assist airlines in\u0000 becoming an employer of choice in the sect","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132610524","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}

{"title":"Creating Virtual Worlds with the Virtual Human Toolkit and the Rapid\u0000 Integration & Development Environment","authors":"Arno Hartholt, S. Mozgai","doi":"10.54941/ahfe1002856","DOIUrl":"https://doi.org/10.54941/ahfe1002856","url":null,"abstract":"The research and development of virtual humans, and the virtual worlds\u0000 they inhabit, is inherently complex, requiring interdisciplinary approaches\u0000 that combine social sciences, computer science, design, art, production, and\u0000 domain expertise. Our previous work in managing this complexity has resulted\u0000 in the release of the Virtual Human Toolkit (VHToolkit), aimed at lowering\u0000 the burden of creating embodied conversational agents. In our current\u0000 efforts, we are integrating the VHToolkit with the Rapid Integration &\u0000 Development Environment (RIDE), a rapid prototyping modeling and simulation\u0000 middleware platform that leverages real-time game engines. This integration\u0000 results in the ability to mix and match commercial AI services from AWS,\u0000 Azure, and Google, as well as leverage novel 3D geospatial terrain creation\u0000 pipelines. Combined with dedicated authoring tools that have been developed\u0000 through human-centered design processes, the platform enables researchers,\u0000 developers, and domain experts to rapidly create digital worlds with virtual\u0000 humans for both military and civilian contexts. Our approach is highly\u0000 interdisciplinary, including academia, government, and industry\u0000 collaborators. The demonstration shows a user interacting with an embodied\u0000 conversational agent embedded within real-world captured and virtualized\u0000 terrain. Further research and development features of the platform are\u0000 shown, including scripted agent behaviors, networked team play, and machine\u0000 learning interfaces.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125674494","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}

{"title":"The characteristics of fashion magazine layout design style based on\u0000 aesthetic measure model","authors":"Xiaoqin Zhou, Yunfei Chen","doi":"10.54941/ahfe1002901","DOIUrl":"https://doi.org/10.54941/ahfe1002901","url":null,"abstract":"The design style of a magazine is the key to attract readers. At the\u0000 same time, the layout design of the magazine is an important factor\u0000 affecting the style of the magazine. The purpose of this paper is to study\u0000 the style of fashion magazines, combined with mathematical model to\u0000 quantitatively analyze the layout of the same style of magazines, and get\u0000 the quantitative relationship of relevant parameters, so as to provide\u0000 guidance and help for the layout design of fashion magazines.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114910299","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}

{"title":"Investigating Effects of Assistance Systems For Visually Impaired Drivers\u0000 at Preventing Traffic Accidents","authors":"Zhihang Liu, Jieun Lee, J. Kuwana, Huiping Zhou, M. Itoh","doi":"10.54941/ahfe1002819","DOIUrl":"https://doi.org/10.54941/ahfe1002819","url":null,"abstract":"Visual field defects (VFD) are closely associated with driver hazard\u0000 perception. Drivers with advanced VFD are more likely to be involved in\u0000 traffic accidents than healthy-sighted drivers even though they apply extra\u0000 movements to overcome the defects. Given difficulties in dealing with\u0000 particular situations, such as finding traffic signals, machinery assistance\u0000 is necessary for improving driving safety. However, it has been less\u0000 explored that which assistance systems would be helpful for visually\u0000 impaired drivers in which traffic situations. To have a better understanding\u0000 of driving with VFD and provide a safer traffic environment for drivers with\u0000 advanced VFD, this study aimed to investigate effects of three driver\u0000 assistance systems on reducing traffic accidents regarding several traffic\u0000 situations. Methods:A driving simulator experiment using 66 healthy-sighted\u0000 drivers generated advanced VFD on a screen for all simulations. This study\u0000 designed a Baseline condition and three assistance systems based on\u0000 time-to-collision (TTC) in hazardous events: automatic braking (AB; TTC =\u0000 0.8s) and giving voice guidance about driver behavior to cope with\u0000 encountering situations. Two guidance systems were presented in different\u0000 alert timings (VGEarly; TTC = 4s, VGLate; mean TTC = 2.81s). We classified\u0000 29 hazardous events into four categories: traffic signals, oncoming\u0000 right-turning cars, objects that appear from driver’s right and left sides,\u0000 then counted the number of traffic accidents. Results:Data provided that all\u0000 assistance systems showed the lower number of accidents than the Baseline.\u0000 Whereas drivers in the Baseline were not able to find traffic signals due to\u0000 the defect, no accident cases related to the situation were observed in the\u0000 assistance system conditions. When an oncoming car turned to the right,\u0000 drivers in the VGEarly showed the lowest accident rate among all conditions.\u0000 The AB led the great number of accidents in the oncoming car situation but\u0000 yielded no accidents with hazards approaching from the right. Results showed\u0000 that both VG systems were more likely to reduce the accidents with hazards\u0000 from the left than the AB. More specifically, the VGEarly decreased the\u0000 accident rate by approximately 15% more than the VGLate.Discussions:This\u0000 study attempted to figure out which system is effective for visually\u0000 impaired drivers in which traffic situation. Interestingly, the effect\u0000 depended on situations. For example, the AB led no accidents when\u0000 encountering objects from the right side unlike the VG systems. The VGLate\u0000 had a potential of reducing accidents, but the VGEarly more contributed to\u0000 reducing accidents rather than the VGLate. Because VFD led failure in driver\u0000 perception that is a very initial stage of information processing, in\u0000 general, VGEarly is considered to produce appropriate performance. The\u0000 current study is limited to investigating accident rates, thus next study\u0000 should perform further analyses ","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128092171","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}

{"title":"Evaluation Planning for Artificial Intelligence-based Industry 6.0\u0000 Metaverse Integration","authors":"Janne Heilala, Khushboo Singh","doi":"10.54941/ahfe1002892","DOIUrl":"https://doi.org/10.54941/ahfe1002892","url":null,"abstract":"The article presents an image of Industry 6.0 (I6.0) metaverse\u0000 integration based on an extensive study of selective literature. The Key\u0000 Enabling Technologies (KETs) developed from industry 1.0, which showcased\u0000 steam engines, to the information age 4.0, which includes Automation and\u0000 Robotics (AR) and Additive Manufacturing (AM), are briefly discussed. The\u0000 aim is to know how manufacturing practically links to the connection between\u0000 business partners' core competence, the Global Supply Chain (GSC) pattern,\u0000 and how Human Systems Integrate (HSI). The level of I5.0 requires highly\u0000 developed systems, and manufacturing robots must consider Human Factors\u0000 (HFs) for safety reasons. In addition, the design office must also consider\u0000 human health and safety. HSI requires these Robot Factors (RFs) for humans\u0000 to work in the manufacturing environment without being restricted. This work\u0000 investigates how Artificial Intelligence (AI) can be transferred to a robot\u0000 in practice by creating a test setup for sharing human behavior with high\u0000 sampling frequency devices. Developing models that can promote the future of\u0000 cognitive Augmented Reality (AR) will increase the immersion of initial\u0000 steps of the metaverse in the new generation internet. In the proposed\u0000 clinical test setup program, we deal with the procedures related to the\u0000 model's production from a meta-level with a futuristic vision to long-term\u0000 progress in this field of research. The relevance and promising potential of\u0000 the recent research conducted in this area suggest that the proposed\u0000 approach is highly significant in enabling future studies.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134530124","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}

{"title":"Spotlighting distraction in artificial intelligence driver assistance\u0000 systems","authors":"B. Cardoso, Luciano Moreira, António Lobo, Sara Ferreira","doi":"10.54941/ahfe1002852","DOIUrl":"https://doi.org/10.54941/ahfe1002852","url":null,"abstract":"As artificial intelligence driver monitoring systems gain momentum in\u0000 intelligent mobility, it is critical to analyse how distraction is defined\u0000 and induced. This systematic review was specifically focused on studies\u0000 conducted in driving simulators. A Boolean query was iteratively developed\u0000 to retrieve articles from Scopus that fulfil the following criteria: (1)\u0000 being an empirical study, (2) addressing driver distraction, (3) using a\u0000 driving simulator, (4) aiming at developing an artificial intelligence\u0000 monitoring system. After screening, 34 articles remained and were analysed\u0000 according to four general themes: definition of distraction, characteristics\u0000 of the scenarios used in the driving simulator, sampling of participants,\u0000 and procedures. Results showed that the most common definitions of\u0000 distraction consider it as a shift in the driver’s attention towards a\u0000 secondary task, which implicates in a degradation of the execution of the\u0000 primary task (i.e., driving the vehicle), and, consequently, a reduction in\u0000 driving safety. Most articles described the scenarios used in the simulator\u0000 in greater detail and, in some cases, variations in traffic density,\u0000 visibility, and environmental conditions were observed. Furthermore,\u0000 scripted critical events in the scenario (e.g., car in front of the\u0000 participant breaking) were also used. Recruitment and samples varied greatly\u0000 between studies, with the smallest population consisting of two and the\u0000 largest of 97 participants. Despite the sample size, participants still\u0000 needed to meet eligibility criteria such as having a driver’s license,\u0000 possessing minimum driving experience, health prerequisites, being part of a\u0000 specific group, age, and gender. Procedures and tasks were not always\u0000 described in detail. However, several studies described an initial moment\u0000 where participants could familiarize themselves with the simulator without\u0000 taking measurements, while fewer reported that participants were allowed to\u0000 familiarize themselves with the tasks. Session length varied from eight to\u0000 90 minutes. Regarding the operationalization of distraction in experiments,\u0000 some studies required drivers to perform a single type of\u0000 distraction-inducing task (mental calculations, use of In-Vehicle\u0000 Information System (IVIS), cell phone operation, and manual tasks) with\u0000 varying difficulty levels. Still, most studies relied on a combination of\u0000 different tasks, such as cell phone use, physical tasks (e.g., drinking,\u0000 moving objects, and applying makeup), and IVIS use. Results showed studies\u0000 favour the description of the digital systems over the experiment design and\u0000 procedures and a preference for locating the studies at the individual level\u0000 of analysis, precluding a broader understanding of human behaviour as\u0000 socially constructed and signified. We argue that articulation with higher\u0000 levels of analysis would bring relevant explanations for actual road\u0000 behaviour and personal and social factors should be co","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133409376","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}

{"title":"Exploring remote operation of heavy vehicles – findings from a simulator\u0000 study","authors":"Jonas Andersson, Daban Rizgary, Mikael Söderman, Johanna Vännström","doi":"10.54941/ahfe1002820","DOIUrl":"https://doi.org/10.54941/ahfe1002820","url":null,"abstract":"Fully automated driving has posed more challenges than expected, and\u0000 remote operation of heavy vehicles is increasingly getting attention.\u0000 Therefore, human remote operators may have an essential role in compensating\u0000 for the technological shortcomings in vehicle automation. This poses\u0000 challenges in designing the work of human remote operators of automated\u0000 heavy vehicles. This paper presents findings from a research project\u0000 performed in collaboration between the RISE Research Institutes of Sweden\u0000 and Scania. In the project, human-automation interaction requirements and\u0000 challenges for remote operator work were explored through a simulator study.\u0000 Before the study, three main operator tasks were defined: assessment,\u0000 assistance, and remote driving. The simulation occurred in a transportation\u0000 scenario where operators handled ten trucks driving on a public road and\u0000 confined areas (transportation hub). Fifteen participants completed the\u0000 study. The results provide examples and insights into classical\u0000 automation-related challenges in a new context – the remote operation of\u0000 heavy vehicles. Instances of challenges with situational awareness,\u0000 out-of-the-loop, trust, and attention management were found and are\u0000 discussed in relation to HMI design and requirements.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114336731","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}