Human Systems Engineering and Design (IHSED 2023): Future Trends and Applications最新文献

{"title":"Verification of the integration process of algorithms and sensor data for\u0000 mental health applications","authors":"Victoria López, Pavel Llamocca, Diego Urgelés, Yury Jiménez, César Guevara, C. Viñals, Maria Espinosa","doi":"10.54941/ahfe1004158","DOIUrl":"https://doi.org/10.54941/ahfe1004158","url":null,"abstract":"Mood disorders are becoming more frequent and, especially after the\u0000 pandemic years, the importance of analysing and preventing such disorders\u0000 has become clear. In the worst cases, people can suffer from depression or\u0000 bipolar disorder leading to hospitalization or sick leave with serious\u0000 economic and social consequences for the individual and their environment.\u0000 Thanks to the development of technology, there are increasingly useful\u0000 portable devices for monitoring individual daily activity. The data\u0000 collected is very useful for understanding not only the individual's\u0000 environment but also for characterizing their emotional profile. However,\u0000 good monitoring requires the use of a diverse set of information sources.\u0000 Medical consultations are the traditional source of information but in many\u0000 cases this information is lacking or insufficient. The new sources of\u0000 information are diverse: smart devices such as smart watches or even the\u0000 mobile phone itself, portable sensors of various types and even activity\u0000 records on social networks. All these data can be integrated and processed\u0000 in such a way that a characterization profile of behaviour related to the\u0000 emotional state of the individual is determined. However, the manufacturers\u0000 of these devices apply aggregation algorithms to the monitored data to\u0000 provide the client with a friendlier and easier to interpret version, but\u0000 they do not usually provide the raw data collected by the sensors\u0000 (accelerometer, gyroscope, temperature, etc.). There is still no regulated\u0000 standardization that obliges the manufacturer to provide the data to the\u0000 owners of the devices. Both raw data and aggregation algorithms work like a\u0000 black box in most cases. The information presented by the device\u0000 applications (generally apps) is very relevant and the interpretation of the\u0000 users has direct consequences on their behaviour (behaviour modification,\u0000 medication administration, etc.). For this reason, it is essential to verify\u0000 the algorithms used in the previous process, guaranteeing that the\u0000 information integrated (and presented) really corresponds to the information\u0000 collected by the sensors. In this paper we present a suitable system for the\u0000 verification of aggregated data from personal activity monitoring sensors.\u0000 The system includes a parsing algorithm that makes the data structure and\u0000 relates it to the output. The effectiveness of the algorithm has been tested\u0000 with real data over a period of two years and for both daytime activity and\u0000 sleep quality monitoring. The algorithm is perfectly scalable to be used on\u0000 any device, so the computer system presented can be useful for future\u0000 computer auditing of this type of process.","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130617662","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":"DJaytopia: a hybrid intelligent DJ co-remixing system","authors":"Yue Wu, Anran Qiu, Liuxuan Ruan, Xuejie Li, Jinhao Huang, Stephen Jia Wang","doi":"10.54941/ahfe1004114","DOIUrl":"https://doi.org/10.54941/ahfe1004114","url":null,"abstract":"Nowadays, musical mixing platforms are featured with programmed\u0000 interventions and digitized information visualization to support DJ's\u0000 performance (Montano 2010), however, the visualization is always obscure to\u0000 the average music consumers (Beamish, Maclean, and Fels 2004). Being a\u0000 well-performed DJ requires the level of expertise and experience that most\u0000 average music consumers lack (Cliff 2000), as every audience has a\u0000 completely different taste in music (Schäfer and Sedlmeier 2010). This study\u0000 aims at developing an AI / ML-based system to lower the bar for novice DJs\u0000 and even average music consumers to create personalized music\u0000 remixes.Generally, music can be intelligently composed by analyzing harmonic\u0000 and melodic features to generate genre-specific compositional elements or to\u0000 alter the compositional structure of a song (Tan and Li 2021). Despite the\u0000 technical breakthroughs that have been made, listeners have reacted\u0000 negatively to this music due to the lack of user data to back it up and the\u0000 neglect of the user's perception of the piece (Tigre Moura and Maw 2021). In\u0000 a conventional scenario, DJs can express their attitudes towards music\u0000 preferences by listening to the music directly, which requires a well\u0000 understanding of the audience's mind. Following the recent launch and\u0000 explosion of ChatGPT, which has evidenced that an intelligent system could\u0000 help users innovate by solving their problems in textual form through\u0000 conversational interactions (Dis et al. 2023; Dwivedi et al. 2023); also\u0000 collecting the users' feedback through conversations, observing user\u0000 reactions, and inviting user reviews. Such AI-enabled systems are able to\u0000 learn about the user's preferred music style and various DJ mixing\u0000 techniques. This study adopts a typical human-in-the-loop (HITL) approach to\u0000 develop a crowd-learning music mixing system implementing AI and Virtual\u0000 Reality technologies. The proposed HITL-based co-music arrangement system\u0000 should be able to collect musical data and techniques; a VR environment is\u0000 built to provide users with a platform to record user-created music and\u0000 corresponding applied methods as well as audience ratings worldwide. After\u0000 processing the data, users can try out a compilation of songs assisted by a\u0000 robotic arm. With the help of the robotic arm, it will be easier and faster\u0000 for users to create collections with a personal touch and more specific\u0000 techniques. The essential functions include: a) Providing users with an\u0000 immersive environment to learn the basic operations of the DJ console. b)\u0000 Collecting the user's preferences for compilation techniques and the content\u0000 of different DJ's compositions for use through an “immersive online\u0000 multiplayer music compilation platform” to generate a personalized library\u0000 of methods to help the user compile songs; c) Assisting the user in creating\u0000 their preferred individual compilation style faster as they try out the DJ's\u0000 operations; d) Indicating to the user where ","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114743716","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":"Methods for the collection and characterization of airborne particles in\u0000 the textile industry","authors":"E. Visileanu, Marian Catalin Grosu, Paul Tiberiu Miclea, K. Altmann, D. Broßell","doi":"10.54941/ahfe1004132","DOIUrl":"https://doi.org/10.54941/ahfe1004132","url":null,"abstract":"Airborne particulate matter is one of the main air pollutants. Their\u0000 impact on mortality, and the occurrence of pulmonary and cardiovascular\u0000 complications, have been the subject of numerous studies. Airborne particles\u0000 are complex mixtures of organic and inorganic substances from different\u0000 sources of particle emissions. Particulate Matter (PM) particles are\u0000 classified according to their aerodynamic diameter expressed in µm and can\u0000 vary from coarse (PM 10) to fine (less than PM 2.5). These diameter\u0000 considerations are fundamental because they condition the penetration of\u0000 particles into the bronchopulmonary system and the body. In recent years,\u0000 there has been an interest in so-called “ultra-fine” particles, with a\u0000 diameter of 0.1 µm (or 100 nm), or PM 0.1. They are nanoparticles and their\u0000 impact on human health is not yet clear.With more than 1.5 million\u0000 employees, textiles and clothing is a diverse sector that plays an important\u0000 role in the European manufacturing industry, producing a turnover of €162\u0000 billion.An important component of the solid particles that generate air\u0000 pollution in the textile industry is microplastics (MP) and nano plastics\u0000 (NP), which also include microfibers (<5mm) and nanofibers (<100\u0000 nm), respectively. The particles released into the air during fiber and yarn\u0000 processing range from 1 µg/m3 to 50 µg/m3.The paper presents the results of\u0000 the determination of indoor and outdoor air concentration levels in textile\u0000 companies, to identify the areas with the highest concentration level, by\u0000 using an online recording system such as the Laser Aerosol Spectrometer MINI\u0000 LAS model 11-E. The total concentration level TSP (µg/m3), the fractions PM\u0000 10(µg/m3), PM 2.5(µg/m3), PM1(µg/m3), as well as the total number of\u0000 particles TC (1/l), were shown. It was noted that TSP is approximately at\u0000 the same level both indoors and outdoors, but the fractions of PM10, PM2.5,\u0000 and PM1 have much higher values indoors than outdoors with possible\u0000 consequences on workers' health.The next step was the collection of fibers,\u0000 namely micro and nano plastic particles from the vicinity of the workplaces\u0000 of polyester, polyamide, and polypropylene fibers processing units in the\u0000 textile industry in Romania, to obtain a sufficient quantity for laboratory\u0000 analysis to determine the size and shape of the particles as well as their\u0000 chemical composition. Two types of pumps were used, differentiated by their\u0000 operating parameters: TECORA SKYPOST with airflow of 38 l/min and GILAIRPLUS\u0000 with airflow 2l/min. Filters made of different materials with different\u0000 diameters and pore sizes were used, namely: quartz filters (ø 47 mm, and ø\u0000 37 mm) on a TECORA SKYPOST type pump, polycarbonate nucleopore coated with a\u0000 gold membrane (ø 25 mm) and silica filter (ø 9 mm) on GILAIRPLUS type\u0000 pump.Using descriptive statistics, the calculation of correlation\u0000 coefficients highlighted a strong correlation between the variables:\u0000 \"Collected mass/ Air concentratio","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123598313","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":"Preserving the Human Element in Pilot Weather Reports (PIREPs)","authors":"Daniela Kratchounova, Hannah Baumgartner","doi":"10.54941/ahfe1004159","DOIUrl":"https://doi.org/10.54941/ahfe1004159","url":null,"abstract":"Pilot reports (PIREPs) are reports describing in-flight weather\u0000 conditions submitted by pilots, and provide crucial weather information to\u0000 other pilots for pre-flight and in-flight planning. However, the current\u0000 PIREP system is antiquated, prone to error, and has been identified as a\u0000 safety concern according to a 2017 National Transportation Safety Board\u0000 Special Report. The current paper describes some preliminary results from a\u0000 proof of concept study investigating the feasibility, utility, and usability\u0000 of a PIREP submission and retrieval process that uses VHF radio, cloud\u0000 computing, and artificial intelligence (AI) technologies. In this concept,\u0000 pilots were able to submit and retrieve PIREPs without talking to an air\u0000 traffic controller but by communicating with an automated VHF ground station\u0000 via a voice-user interface. Pilots were also able to retrieve PIREPs online\u0000 (website and mobile app), where they could listen to voice recordings of\u0000 PIREPs or read voice-to-text transcriptions of PIREPs submitted in their\u0000 local area. Most aircraft today are equipped with a VHF radio, which is the\u0000 primary communication tool used to file PIREPs via communicating either with\u0000 a Flight Service or Air Traffic Control facility. The use of a dedicated\u0000 radio frequency for submitting and retrieving PIREPs has the potential to\u0000 provide an additional mechanism for pilots to communicate these reports\u0000 reducing congestion on other FSS and ATC frequencies. For the period of time\u0000 between November 4, 2022 and April 30, 2023; over 200 pilot-participants who\u0000 were flying within or overflying the areas with radius of ~ 50 nm from two\u0000 airports—Will Rogers World Airport (KOKC) in Oklahoma and Nenana Municipal\u0000 Airport (PANN) in Alaska submitted and retrieved~5,000 PIREPs. Two PIREP\u0000 ground station identifiers were used for this research: (a) “PIREP Watch\u0000 Alaska” and (b) “PIREP Watch Oklahoma”. For this initial phase of the\u0000 research, the system did not have the capability to map ADS-B equipped\u0000 aircraft to aircraft type, location or altitude without querying the pilot.\u0000 Pilots identified a number of areas of growth for this concept, such as the\u0000 need for aviation-specific vocabulary in the voice-to-text transcription\u0000 aspect of the technology. Overall, pilots were highly enthusiastic about the\u0000 proof of concept study and supported the feasibility, utility, and usability\u0000 of this novel method of submitting and retrieving PIREPs. This innovative\u0000 system preserves the human element in modern weather information sources by\u0000 allowing pilots to use free form when reporting their direct weather\u0000 observations in-flight while eliminating the need to talk to an air traffic\u0000 controller or flight service specialist. Furthermore, it offers data-driven\u0000 support for modernizing the PIREP system.","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127971187","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":"Classification of Depression Based on Functional Near-Infrared\u0000 Spectroscopy (fNIRS) Signals Using Machine Learning Algorithms","authors":"Nahyun Lee, J. Zhang, Yongho Lee, Taekun Kim","doi":"10.54941/ahfe1004154","DOIUrl":"https://doi.org/10.54941/ahfe1004154","url":null,"abstract":"Depression is a significant mental health issue affecting individuals\u0000 worldwide. In this study, we aimed to classify healthy, depressed, and\u0000 suicidal individuals using functional nearinfrared spectroscopy (fNIRS)\u0000 signals combined with machine learning algorithms. The dataset consisted of\u0000 fNIRS measurements collected from participants in different mental states.\u0000 Our experiment indicates that the implementation of the histogram based\u0000 gradient boosting algorithm (HGBM) achieved the highest accuracy rate of\u0000 78.76% and the highest precision rate of 92% for depressed category. The\u0000 HGBM outperformed other algorithms such as k-NN and CatBoosting. The study\u0000 highlights the potential of fNIRS and machine learning in the detection and\u0000 classification of depression.","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122724407","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":"What To Do When The Requirements Are Unknown? - Development of a\u0000 Simulator for Excretory Care","authors":"Shoko Miyagawa, Yong Ah Seong, Zebing Mao, Tatsuhiro Horii, Hiroyuki Nabae, Shingo Maeda, T. Fujie, K. Tadakuma, H. Sawada, K. Suzumori","doi":"10.54941/ahfe1004131","DOIUrl":"https://doi.org/10.54941/ahfe1004131","url":null,"abstract":"We developed a simulator to practice the digital disimpaction technique,\u0000 a kind of excretory care that is commonly performed by home-care nurses in\u0000 Japan. The key point of this study is that the requirements for creating a\u0000 simulation model were not known in advance, so we adopted a rapid\u0000 prototyping method, in which product development is carried out by\u0000 repeatedly creating and testing simple prototypes and a user-participatory\u0000 design method, where feedback is obtained directly from users. We proceeded\u0000 with the development of the simulator and the definition of requirements\u0000 simultaneously, repeating the process of creation, trial use, and feedback\u0000 from interviews with skilled nurses. Digital disimpaction is a complex\u0000 procedure involving interaction with a living body, in which a finger\u0000 stimulates the rectum and facilitates the excretion of feces leveraging the\u0000 rectum's natural biological response. Digital disimpaction is performed\u0000 primarily by a nurse. Since digital disimpaction is an embarrassing and\u0000 sometimes painful procedure for the patient, a smooth and comfortable\u0000 technique is desirable. On the other hand, only a limited set of\u0000 circumstances are provided to learn the digital disimpaction technique. The\u0000 requirement for a \"procedure requiring non-visible interaction,\" such as\u0000 digital disimpaction, is hard to acquire through a simple interview because\u0000 it is performed based on subjective sensation. Further, while the movement\u0000 of the finger within the body is crucial, it is essentially impossible to\u0000 learn through observation of a skilled nurse as it is not visible from the\u0000 outside. For this reason, we created a simple rectal model as a first\u0000 prototype. We improved the model by extracting requirements from\u0000 observations and feedback on actual trial use by skilled nurses. From the\u0000 first user experience of the simple 3D printed model, requirements were\u0000 extracted regarding the texture of the rectum, the interaction between\u0000 finger movement and rectal response, and the characteristics of the feces. A\u0000 rectal model with a mucosal structure and a fecal model was created based on\u0000 the obtained requirements. Through the second user experience, the process\u0000 was repeated, where requirements were again extracted regarding the shape of\u0000 the rectal model, the characteristics of the mucosa, and the rectal response\u0000 with the finger movement. We redesigned the model to meet these refined\u0000 requirements and developed a buttock model covering the rectal model.The\u0000 results of the third user experience confirmed that the simulator mostly\u0000 reproduced the intestinal setting as perceived by the nurses during the\u0000 actual digital disimpaction procedure. This study suggests that the\u0000 combination of rapid prototyping and user-participatory design can be used\u0000 to systemize subjects for which requirements are hard to define in advance,\u0000 such as care procedures based on tacit knowledge.","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113963054","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":"Human-Centered Design for a Virtual Human led mHealth Intervention for\u0000 Suicide Prevention","authors":"S. Mozgai, A. Rizzo, Arno Hartholt","doi":"10.54941/ahfe1004118","DOIUrl":"https://doi.org/10.54941/ahfe1004118","url":null,"abstract":"Addressing the significant mental and physical healthcare needs of\u0000 Veterans requires innovative strategies to enhance access to evidence-based\u0000 care. The integration of Virtual Human (VH) agents into Mobile Health\u0000 (mHealth) applications presents a promising opportunity to overcome barriers\u0000 associated with suicide prevention and connect with Veterans. The Battle\u0000 Buddy (BB) project was conceived as a mobile wellness and suicide prevention\u0000 application, empowering Veterans with an always-available resource\u0000 concierged by an engaging and supportive conversational VH agent.\u0000 Human-centered design is essential in the development of all interactions\u0000 focused on the persuasive strategies of (1) personalization, (2)\u0000 self-monitoring, (3) tunneling, (4) suggestion, and (5) expertise. Veterans\u0000 can interact with the BB VH during daily check-ins, learn about mental\u0000 health and wellness strategies, participate in interactive activities,\u0000 increase self-awareness of their current status, and build and work safety\u0000 plans in times of suicidal crisis. BB is designed to provide the Veteran\u0000 with easy access to a suicide prevention ecosystem in which a wealth of\u0000 evidenced-based interventions will be delivered in a non-stigmatizing\u0000 fashion by a computer-based dialogue system with virtual embodiment,\u0000 utilizing various multi-modal language cues such as text, speech, animated\u0000 facial expressions, and gestures to interact with users. This paper explores\u0000 our human-centered design process for the BB feature set to target the\u0000 negative effects of social isolation and loneliness, conditions that\u0000 challenge Veteran healthcare and suicide prevention.","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114761047","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":"OSH risks of health and social care workers working in clients' homes in\u0000 Finland","authors":"Johanna Pulkkinen, Maria Lindholm","doi":"10.54941/ahfe1004140","DOIUrl":"https://doi.org/10.54941/ahfe1004140","url":null,"abstract":"In Finland, the number and frequency of accidents at work in the health\u0000 and social services industry have increased between 2010 and 2020. The need\u0000 for services provided at home has increased and will increase in the future.\u0000 Results of a previous survey study conducted for occupational safety and\u0000 health (OSH) specialists showed that the safety protections of home care\u0000 workers were lower compared to those employed in hospitals and institutions.\u0000 The client's home as a working environment is challenging and the employer's\u0000 opportunities to ensure the safety and health of working conditions are\u0000 limited. Health and social care workers meet multiple OSH challenges while\u0000 working in an individual's home. Health care workers in general are exposed\u0000 to many dangers, examples of which include biological hazards such as needle\u0000 puncture infections or other infectious diseases, chemical hazards including\u0000 medicines and disinfectants used in cancer treatments, physical hazards such\u0000 as ionizing radiation, ergonomic risks, for example, when dealing with a\u0000 patient, and psychosocial risks such as violence and shift work.This article\u0000 is about the OSH risks of health and social care workers while working at\u0000 clients' homes in Finland. Three municipalities, two private companies and\u0000 one non-profit organization participated in the study. The data for this\u0000 paper was collected through online survey (n = 160) and interviews (n = 55).\u0000 Altogether, the interviews included 89 participants. The participants were,\u0000 for example, nurses, personal assistants, supervisors, head of home care, or\u0000 from the safety organization. The focus is on questions related to what the\u0000 participants and respondents saw as OSH risks and challenges in their work\u0000 performed in the client's home. The process and methods will be described in\u0000 detail in the article.The results of the preliminary data analysis indicate\u0000 that work of the health and social care workers has many risks. According to\u0000 survey, the main risks are related to, for example home as a working\u0000 environment, physical ergonomics, mental, psychosocial and ethical burden,\u0000 organizing and scheduling the working day, alarming aid, lack of peer\u0000 support and cooperation with others. This paper contributes to prior\u0000 research by providing new information about OSH risks of health and social\u0000 care workers while working at clients' home. It is important to recognize\u0000 the risks because it is the foundation of safety work. Only risks that are\u0000 known can be managed.","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114968125","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":"Analysis on the influence of long endurance on the operation performance\u0000 of electronic map color matching scheme","authors":"Kaili Yin, Ziang Chen, Chao-Hsing Yang, Xiaoyi Zhou","doi":"10.54941/ahfe1004120","DOIUrl":"https://doi.org/10.54941/ahfe1004120","url":null,"abstract":"In order to study the influence of long flight time on the operation\u0000 performance of personnel under the electronic map color scheme and obtain\u0000 the electronic map color scheme suitable for long flight time, this study\u0000 designed an ergonomic experiment simulating the operation of electronic map\u0000 by personnel under the environment of 60 days of long flight time, and\u0000 studied the operation performance of four electronic map color schemes:\u0000 color matching, sunlight color matching, yellow light source color matching\u0000 and gray color matching. The results show that the long endurance has a\u0000 significant impact on the operation performance of different color schemes,\u0000 and the color scheme of yellow light source has good operation performance\u0000 and is more applicable under the condition of long endurance.","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124752958","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":"Perspectives of Design for Recycling in Fashion System. Redefining\u0000 fashion waste value models","authors":"Carmela Ilenia Amato, Martina Orlacchio","doi":"10.54941/ahfe1004148","DOIUrl":"https://doi.org/10.54941/ahfe1004148","url":null,"abstract":"The Fashion industry is facing significant structural and systemic\u0000 challenges that require a paradigm shift. According to Agamben, the\u0000 resilience of complex systems is the response to the ability to adapt and\u0000 evolve through the adoption of innovative and alternative approaches that\u0000 are able to transfigure reality by overcoming apparent difficulties. The\u0000 notion of intempestivity, in particular, assumes a critical role in building\u0000 resilience based on innovation and sustainability. It is defined as a\u0000 dynamic form that requires a constant process of reinvention, using apparent\u0000 damage as an opportunity to evolve toward substantial improvement.\u0000 Calamities, pandemic threats, food crises, destruction of ecosystems and\u0000 cultural heritages are just some of the negative phenomena, in many ways\u0000 dramatic, with which design, increasingly has to deal from a survival\u0000 perspective, returning to \"new basic needs,\" as well as offering solutions\u0000 to improve the quality of human life. In Europe, economic growth, closely\u0000 dependent on increased production and consumption of resources generates\u0000 harmful effects on the environment, eroding biodiversity, and altering\u0000 climate stability, health and human well-being. Current production and\u0000 consumption models do not follow sustainability criteria, triggering\u0000 irreversible phenomena that require urgent intervention strategies. Earth\u0000 Overshoot Day signals the date when humanity has used all the biological\u0000 resources that the Earth regenerates throughout the year. While dramatic,\u0000 the event stirs the consciousness of individuals, about the limits of the\u0000 Planet and its depleted resources. An often overlooked but significant\u0000 contributor to the environmental emergency is the overproduction of\u0000 clothing. According to the World Bank, the Fashion sector is responsible for\u0000 10 percent of annual global carbon emissions. Despite approaches in terms of\u0000 recycling and reuse, globally 88 percent of recycling refers to polyester\u0000 from bottles, with only 12 percent of recycled material coming from\u0000 pre-consumer and post-consumer textile waste; moreover, global production of\u0000 sustainable materials is growing significantly, although there are still\u0000 negative impacts due to resource leakage in processing. The European\u0000 framework calls for more efficient management of textile waste, in relation\u0000 to the development of circular processes in the relevant industry. The EU\u0000 Strategy for Sustainable and Circular Textiles calls for textiles to be free\u0000 of harmful substances, durable, recyclable, and made with mandatory minimum\u0000 amounts of recycled fibers by 2030; a generic statement that without\u0000 specific objectives, results in non-compliant outcomes. The textile and\u0000 apparel manufacturing sectors experience damage along the supply chain that\u0000 needs a thorough investigation into production processes, shining a\u0000 spotlight on the real possibilities of post-consumer recycling, from sorting\u0000 to waste management, according to circular economy","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115771571","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}