bluuebunny/crossref_metadata_2025 huggingface dataset:
Future automobile driving space voice interaction: adapt to the driving scenarios and user personalities
Authors: Zhang Weitong , Jiaxin Chen
Published: June 2023

This paper investigates in-car voice interaction, where in-car voice assistants are becoming a common form of interaction in the car. However, voice assistants are unable to naturally perform emotional feedback based on traffic scenarios and driver state, so we explore the perspective of voice emotion in order to improve the in-car VUI experience. We designed five driving scenarios and tasks and four typical emotional voices. Participants were asked to experience each of the four emotional voice assistants in these five driving scenarios and tasks via a driving simulator and their feedback was collected through questionnaire ratings and interviews. And we also collected user personality traits (Big Five Inventory).In this paper, we assessed the emotional needs of in-car VUIs in different situations and made design recommendations for future in-car voice assistants. To explore the relationship between voice assistants’ emotional styles, driving scenarios and tasks, and users, we designed a series of voice assistants with four emotional styles (Joy, Relaxed, Urgent, and Neutral), recorded audio samples for five specified driving scenarios and tasks. Seven participants were invited to evaluate the voices, then based on the feedback, the voices were improved until they conformed to the set emotional styles. As dependent variables, we collected user personality traits (Big Five Inventory). Then we conducted a simulated driving experiment. Several participants with driving experience (N=26) were asked to experiment with five different driving scenario tasks in turn, with all four emotional voice assistants being tested in each driving scenario task. Then participants provided their insights through questionnaire scoring and semi-structured interviews.Our results show that users are more satisfied with voice assistants when their emotional style is matched to the driving scenario and task. For example, voice should be serious and brief in situations related to driving performance and driving safety, while in situations not related to driving performance (e. g. in-car entertainment) the voice assistant should be more lively and chatty. The experimental results also show that the user's gender and personality also have an impact on the emotional style preferences of the voice assistant. In the scenario tasks of Passenger assistance, Navigation, and Proactive assistance, the preferences of female users differed significantly from those of male users (p<0.05). In pairwise comparisons, participants who preferred Joy scored significantly higher in extraversion than all other groups (p < 0.05). Consequently, adapting the right emotional voice to different driving situations and user personalities has a positive impact on increasing user satisfaction.
Sensory Virtual Interaction Design Based on the Impact of Microplastics on Ecosystem
Authors: Zhan Xinhao , Zheng Chao , Qiu Bingkun , Cheng Xie Li , Zhang Xinlei , Zeng Yichen
Published: June 2023

Virtual interaction can provide vivid interaction scenarios for the audience, and its operability greatly shortens the distance between the works and the audience. The key to building a complete set of virtual interaction works is to design aesthetic 3D video and logical interaction design. Micro plastic pollution is an environmental problem that has recently attracted much attention. Micro plastics widely exist in various media carriers all over the world. As far as plastic straws are concerned, on average, more than 30 plastic straws are used each year in China. A large number of micro plastics are produced in the process of processing and recycling, causing irreversible damage to the natural ecology. Therefore, from the point of view of design, the virtual interactive design of the micro plastic pollution theme is studied based on interactive devices. Let people know the harmfulness of micro plastics, and reduce the use of plastic products spontaneously. In this paper, the origin and influence of microplastics are briefly introduced. Secondly, to slow down the micro plastic pollution problem by design, we analyzed and learned the relevant cases of virtual interactive design works, learned from each other's strengths, and finally presented the design practice results.
Metaverse on Education: A case study about users’ acceptance of technology
Authors: Vilar Elisangela , Rebelo Francisco , Alvelos Clara , Andrade Gabriel , Noriega Paulo
Published: June 2023

This paper aims to present a study about people’s acceptance of using the Metaverse technology. The education context is the focus of intervention justified by the massification of distant learning powered by the new challenges faced by this sector during the lookdowns caused by the COVID-19 pandemic. Also, with technological development, a new paradigm regarding interactions may be able to change the educational dynamics. Thus, this pilot study aims to investigate the acceptance level of potential users of this technology to identify factors that can influence technology use and enrich the debate about new interactive worlds. For this, the Unified Theory Acceptance and Use of Technology (UTAUT) questionary was adapted and made available through an online platform. The total sample had 148 valid questionaries. Overall results show a low level of anxiety, with most people reporting that they didn’t feel scared about using metaverse for online education. They also report interest, mainly related to the capacity to help with some tasks and optimize the educational tools. Researching users’ acceptance before investing in effective development could promote a more reliable result, enhancing cost x benefit issues. Users’ acceptance is even more critical when social and cultural aspects are involved, such as changes in the educational paradigm. Researching how ready our society is to accept a new concept - such as having classes or doing educational expeditions within the metaverse through VR - and its impacts provide a glance at how the future can be designed sustainably, helping to shape the way technology takes part of our daily life.
Heart rate variability during repetitive work in the presence of fatigue
Authors: Carvalho Diogo , Silva Luis , Carvalho Miguel , Dias Mariana , Costa Nelson , Folgado Duarte , Lua Maria , Gamboa Hugo , Edelman Elazer
Published: June 2023

Fatigue has been demonstrated to have a direct negative effect on the productivity of the worker and a marked rise in the long-term occupational risk. The measures being presently applied mainly target the muscular activity directly, that together with subjective understandings of one’s own fatigue levels make up an inaccurate cumulative evaluation of fatigue. “Industry 4.0” wearable devices allows for a more complete and continuous measurement of variables related to fatigue, and thus represent a more accurate value of the worker’s fatigue level.Aim: To analyse the structure of heart rate variability, as a measure of cardiovascular responsiveness, during repetitive work when muscular fatigue is present. Tasks: A protocol was developed to simulate a real-life workplace scenario with a set of low-intensity repetitive tasks that are commonly practiced. The signals obtained were then processed, and heart rate variability was calculated using multifractal analysis and frequency domain variables.Hypothesis: It was hypothesized that the structure of variability will change during repetitive work in the presence of fatigue.Methodology: Participants were asked to perform three 10-minute trials of a repetitive task involving a specific set of movements commonly required for work. Between each trial, a fatigue protocol was carried out, targeting the main agonist muscle. An ECG was collected through a wearable band placed on the level of the xiphoid appendix during the three trials denominated: Baseline, Fatigue 1, and Fatigue 2. Results: Significant differences were found in Very Low Frequency and Low Frequency in the Baseline and Fatigue 2 conditions. However, there were no significant differences in High Frequency. The results of the fractal analysis did not show any significant differences for any q-order, indicating that the fractal of HRV is maintained.Conclusions: These results are enthusiastic for applying algorithms that use heart rate variability to quantify cardiovascular responsiveness to fatigue during repetitive work. These results suggest that fatigue alters the variability structure of HRV, but the fractal structure of HRV remains unchanged.
A comparative study of seagoing vessels between China and Europe from early 15th century to early 17th century
Authors: Huajie Yan , Lu Jiefeng , Kai Qin
Published: June 2023

It was a period of high speed development of seagoing vessel from early 15th century to early 17th century. As an important tool for human exploration of the sea, ship decoration not only carry the imagination and reverence of the sea, but also influenced by the times, religion, politics, culture and aesthetics. It aims to compare the ship decoration which base in design pattern, manufacturing techniques and colour between Chin, Spain, Portugal and Britain. This paper use a comparison methodology involving a widespread historical research conducted on historical documents and ancient painting. In this study can identify the influences of different culture elements of ship decoration which has been mapped in this research. By analyzing all outcomes of the research would be beneficial for designer of ocean-going vessel base on historical element context.
VIS-NLP: Vaccination Inventory System for justified user using Natural Language Processing
Authors: Phuc Vu Minh , Mishra Satyam , Trung Thanh Le , Oni Damilola
Published: June 2023

In the healthcare industry, especially the Covid-19 pandemic in 2020, produced huge problems with isolate patient and patient heath. Thus, created large amount of data that has been generated every day for the patient heath, in this case is to justify the vaccination of users from social network Twitter. Processing such large volume of the data involves high computation overhead. Good health and well-being; to ensure healthy lives and promote well-being for all at all ages is United Nations 3rd Sustainable Development Goal and we want to align our study with it as well. It is crucial to create an application that is beneficial for humanity health. When we get large datasets from pandemics like Covid-19, for large scale datasets, we presented a solution to verify the user if they are vaccinated or not vaccinated by using Natural Language Processing methods to build an accuracy result, we tried to reduce the computation overhead by storing the data in distributed environment. After processing data, training the data, used pad_sequences, Keras, NLP to build the model. Through multiple epochs we have got an accuracy towards 90 to 91% (which is closer to state-of-the-art methods i.e., 95%). And since our accuracy is higher, we can further utilize it to increase for higher number of epochs. We hope scientists can further develop it and use it in real world applications so that more precious human being lives can be saved. By implementation of its successful results, it also aligns with one of the United Nations Sustainable Development Goals i.e., 3rd: Good Health and Well-Being.
Quality Care and Patient Safety: A Best Practice Model for Medical Error Disclosure
Authors: Kalra Jay , Rafid-Hamed Zoher , Okonkwo Chiamaka , Seitzinger Patrick
Published: June 2023

Over recent years, adverse events and medical errors have become topics of increased concern in health care. Despite the efforts of healthcare organizations and providers to prevent medical errors and adverse events, medical errors are still inevitable. Disclosure of an adverse event is essential in managing a medical error's consequences. We have previously reviewed disclosure policies at the provincial level and found no uniform approach to disclosure in Canada. Effective communication between healthcare providers, patients, and their families throughout the disclosure process is vital in supporting and fostering the physician-patient relationship. Given the variability of medical error disclosure policies, comparing the disclosure process between different health authorities may allow us to better understand the best practice model given the proper parameters. Disclosure policies can provide a framework and guidelines for appropriate disclosure, leading to more transparent practices. The purpose of this study is to review and compare the disclosure policies implemented by individual health authorities across Canada. We will evaluate each policy based on the inclusion of the following key points: avoidance of blame; support to the staff; an apology or expression of regret; avoidance of speculation; some form of patient support; education/training to healthcare workers; immediate disclosure; team-based approach; accessibility; and documentation. The clinical significance of the study is to find similarities and differences between various health regions' policies of disclosure as well as report the best practice model for medical error disclosure across Canada. We suggest implementing a uniform national policy that addresses errors in a non-punitive manner and respects the patient's right to an honest disclosure. A prime role exists for the accrediting and regulatory authorities to initiate policy changes and appropriate reforms in the area. Not only should disclosing medical errors be a routine part of medical care to enhance quality improvement, but it would also protect patients' health and autonomy.
Inclusive design for older adult with degenerative scoliosis: The integration of monitoring sensors and functional garment
Authors: Li Xiaolu , Yip Joanne , Liang Ruixin , Zhang Jun
Published: June 2023

Adult Degenerative Scoliosis (ADS) is an aging population condition that occurs as a result of a degenerative change with an abnormal lateral curve greater than 10. Increased concerns over the health effects of ADS have been raised due to its increasing prevalence. Thus, inclusive design products, such as smart monitoring functional garments, are recommended for ADS, which integrate smart monitoring sensors with garments that help ADS to rebalance the spine through active self-correction. However, present research on smart monitoring clothing for ADS focuses more on intelligent monitoring components and systems. There is insufficient research on the integration design process of smart sensors with garments. Hence, this study aims to establish a scientific integration design framework for inclusive smart monitoring functional garments for ADS.Mixed research methods that combined qualitative and quantitative methods were used in this study. Specifically, the qualitative study, including a case study of a previous prototype and practical research of developing an iteration prototype, was conducted to investigate the integration design of smart monitoring functional garments for ADS. Then quantitative data of detailed anthropometric measurements, patterns, and characteristics of electronic accessories and fabric were collected and analysed using 3D modelling and fitting by CLO3D software. The quantitative result was then combined with the qualitative result to build an integration design framework for inclusive smart monitoring functional garments for ADS.The results showed that the development of smart monitoring functional garments for ADS is based on both the body factors of ADS and intelligent monitoring component factors. Furthermore, our findings suggested that the internal garment structure, combining positions, combining techniques, and fabric selection interact with each other under the spiral iteration design process. Finally, the proposed integration design framework and the iteration smart monitoring functional garment for ADS were established. Our findings established a thorough scientific basis for the knowledge on the integration design approach of smart monitoring functional garments for ADS.
Where are we at? A review of the advances in the ethical aspects of human-robot collaboration
Authors: Callari Tiziana , Oostveen Anne-Marie , Hubbard Ella-Mae , Fletcher Sarah , Lohse Niels
Published: June 2023

Human-robot collaboration (HRC) is revolutionising the future of manufacturing and service industries. Ethical research on HRC regards all issues of safeguarding humans from unintended and potentially unethical risks and hazards associated with collaborative robots (also known as “cobots”). Within the CoBots domain, the term Roboethics has been coined to refer to the social and ethical aspects of the design, development, and employment of collaborative and intelligent robots, which could be clustered in four typologies: (1) robots as machines; (2) robots may have an intrinsic ethical dimension and be able to trigger emotions and feelings from users; (3) robots are seen as moral agents; (4) robots are an evolution of a new species, having a conscience and greater intellectual dimensions. This paper aims to provide a review of the available literature in the field to map the ethical aspects and concerns that are discussed in the HRC domain, taking into account the above Roboethics typologies. The paper will conclude outlining an agenda for future ethical research in HRC, specifically where current gaps emerge.
Key Competencies for Circular Manufacturing
Authors: Pinzone Marta , Taisch Marco
Published: June 2023

The transition towards circular economy represents a major challenge faced by manufacturing companies and society alike. One key enabler of this transition is the availability of a skilled workforce, as new competencies are needed for the adoption and implementation of circular strategies, processes and practices (Jabbour et al., 2019, Bertassini et al., 2021, Marrucci et al., 2021). However, the ‘human side’ of the circular economy and the role of people-driven factors are still underrepresented in the research literature (Mies and Gold, 2021; Walker et al., 2021). The present study aims at contributing to fill this gap and supporting manufacturing stakeholders by identifying and describing key competencies for circular manufacturing.Design/methodology/approach – To achieve the above.mentioned objective, a review of the scientific and grey literature was carried out as first step. Subsequently, key competencies were validated by means of semi-structured interviews with experts from manufacturing companies and academia.Results – Seventeen key circular manufacturing competencies were identified. Technical-managerial competencies refer to those competencies enabling the main processes and activities characterizing circular manufacturing (e.g., Design and management of multiple product-service life cycles, Development and use of digital solutions as an enabling factor for the circular economy, etc.). Transversal competencies are key knowledge, skills and attitudes linked to lifelong learning, creativity, teamwork, taking initiative and responsibility. (Janssens et al., 2021).Originality/value – The present study contributes to ongoing research about circular economy by shedding light on key competencies for circular manufacturing. They can also be useful for practitioners willing to identify the skills required for circular strategies and practices, to update or create new job profiles, to check the competency level of employees and then activate training, counselling and improvement programs to fill the gap.
Trust evaluation of automated vehicles: A systematic review
Authors: Hu Zhilin , Xing Yang , Proctor Karl , Owens Andrew , Zhao Yifan
Published: June 2023

The rapid development of automated vehicles offers the promising development of driver-vehicle interaction and cooperation. Trust is an important concept to consider for the future implementation of autonomous driving. An inappropriate level of trust can lead drivers to under-trust and reject the system's potential benefits or allow drivers to over-trust and abuse it. Therefore, autonomous vehicles need an appropriate level of trust for drivers to experience the full benefits of autonomous driving. This paper reports a systematic review of the literature to analyse the critical role of trust and also discusses various methods of evaluating the trust between drivers and automated vehicles to promote the use of autonomous driving on the ground.The review surveyed the trust in automated vehicles and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. First, the importance of trust in increasing the acceptance of autonomous driving is investigated. Second, the factors influencing drivers' trust in autonomous driving are grouped and presented. The analysis focuses on individual driver characteristics, automated vehicles and the driving environment, such as driver preference, driving automation system and driving scenarios. Finally, the methodologies to measure trust in autonomous driving are reviewed and analysed. The key measurement indicators include questionnaires, physiological signals such as eye gaze, head and body postures, etc. and psychological signals such as electroencephalogram (EEG).This study is expected to summarise the factors that influence trust and to find reliable and replicable methods to measure trust. The results show that the influence of different factors on trust varies considerably. Currently, questionnaires are the most commonly used subjective measurement method, while psychophysiological measures are a promising objective complement and attract increasing investigations.
The role of Information design in reducing dependence on health services
Authors: Santos Monica , Dias Suzana
Published: June 2023

The dependence and passivity on health services is due to the hegemonic model that stills prevail, inadequate literacy levels of the population, the construction of health messages based on assumptions, lack of interaction context between users and health providers, and despite existing government programs and measures related to changing health services from a model that reacts instead of prevent, people still see health care services as a consumption model instead of a way of life or a purpose. In order to change this situation (reduce people’s dependence on health care services and health care providers) it is necessary, among others things, to delivery health information to people outside the usual places like hospitals, health centers, pharmacy and others, to everyday life and routines, contributing to autonomy and behavior change. In health, knowledge is latent in users, dormant and suppressed by the traditional service delivery approach, in which professionals are still largely in control.The surplus of information doesn´t mean more knowledge. To make knowledge useful and effective, it is necessary for citizens to identify themselves with the information and be concerned about the topic, but often they avoid or reject it, mainly due three main reasons: it may require a change of belief, it may demande an unwanted action, and lastly because the information can cause unpleasant emotions or diminish pleasant emotions.The information must affirm the identity of the individual and the society in which he is included and not jeopardize values and principles, it must reveal how action make the difference and that the individual is capable of doing it, finally show how to incorporate actions into everyday life. To do so health messages should be adjusted to cognitive needs, to cultural level, to beliefs, to emotional, social and linguistic needs. However, they are designed without taking into account the needs of the citizen. Information design and the integrative character of design tools have a fundamental role placing key stakeholders in the center of the process and constructing messages with a strong sense of ownership and commitment. With this study we highlight the value of developing messages involving the different stakeholders, from the citizen to public health organizations, in a deep and continuous way enabling an innovative integrative approach and building spaces for favoring citizen autonomy and reducing the passive attitude related to health services and providers.
A critical analysis of the concept of resilience skills from an enactivist perspective
Authors: Viktorelius Martin
Published: June 2023

This paper offers a critical analysis of the concept of professional skill and cognition as it is conceived in the field of resilience engineering which is concerned with understanding how adaptive capacity is configured in complex sociotechnical systems. It is argued that the current disembodied and representationalist approach, separating thinking from acting, cannot accommodate resilience understood as adaptive capacity. Instead, an enactivist approach, emphasizing the constitutive coupling between embodied action and environment, is suggested as an ontological basis for research on resilience and adaptability in work.
Transfer of nuclear maintenance skills from virtual environments to reality - Toward a methodological guide
Authors: Faure Valérian , Chardonnet Jean-Rémy , Mestre Daniel , Ferlay Fabien , Brochier Michaël , Joblot Laurent , Merienne Frédéric , Andriot Claude
Published: June 2023

Nuclear maintenance operations require several types of cognitive and motor skills that can be trained in immersive environments. However, there is a lack of normalized methodological approaches to classify tasks and guide them for a potential transposition to immersive training. This paper proposes a methodological approach to classify nuclear maintenance tasks based on their complexity and the potential transfer of training obtainable from each type of immersion techniques and their related interactions.This proposed methodology provides a novel approach to compare various immersive technologies and interactions in a normalized way for a same industrial task.This paper aims at serving as a base for a methodological guide dedicated to the transposition of nuclear maintenance skills learned in immersive environments to real environment setups and proposes two future use cases based on this methodological approach.
Attention Military/Commercial Simulation Developers, Users, & Trainers: Visually-induced or Motion-induced Sickness is not Necessarily More Severe for Women
Authors: Lawson Ben , Bolkhovsky Jeffrey
Published: June 2023

Extended reality (XR), head-mounted displays (HMD), simulators, and advanced vehicle/teleoperation display-control systems show promise for augmenting job skills training or aiding mission decision-making among aviators, astronauts, ship handlers, emergency responders, etc. Unfortunately, such systems require unnatural sensorimotor integration which often induces motion-sickness and/or visually-induced motion sickness (VIMS). NATO and other groups are studying who is most vulnerable, which will inform system design and training protocols. A common assertion is that most studies find women far more susceptible to motion sickness/VIMS, and a recent article called one type of virtual reality (VR) “sexist in its effects.” We reviewed how many studies support the notion that women are more susceptible. We amassed the largest known sample of relevant literature involving direct empirical or survey studies of potential sex difference among studies of motion sickness or VIMS. To date, 76 relevant studies have been identified, among which only 37 (48.7%) are consistent with the assertion that women are more susceptible than men. Such findings require researchers, developers, and trainers to refrain from concluding a sex difference exists presently, especially since many studies are not tightly controlled. Premature judgments could harm military/workforce readiness, career prospects of women, and dissemination of useful technologies.
Exploring Interactive Design Strategies of Online Learning Platform Based on Cognitive Load Theory
Authors: Kun Bian , Yan Wang , Han Dongnan
Published: June 2023

In recent years, online learning has been increasingly popular due to its convenience and accessibility. To improve the quality of online learning, it is essential to understand the learners' cognitive load during online learning interaction. Cognitive load theory and teaching interaction hierarchy theory are employed to explore the impact of learners' cognitive load during online learning interaction. Based on these theories, this study utilizes EEG technology and subjective measurement to measure the cognitive load of learners' operational interaction and information interaction during online learning interaction. Six typical tasks were studied, including login, search, browse, share, and discuss. The results demonstrate that the login and search tasks have a higher cognitive load and the browse and share tasks have a lower cognitive load among the six typical tasks, virtual reality learning environments have a lower cognitive load than online learning environments. Therefore, by correctly identifying the cognitive load of tasks in operational and information interaction, optimization strategies can help to reduce the cognitive load of learners during online learning interaction and improve the quality of online learning.
The Power to be Seen: A Study on the Accessibility Design of Live Stream System for the Visually Impaired
Authors: Tan Jinbang , Liao Ranran , Deng Yifan , Xu Fucong , Guan Shaoping
Published: June 2023

The career discussion for the visually impaired has long been contentious in China, particularly as social technology advances. The interview result of Guangdong’s first blind mock streamer competition hosted by the Guangdong Association of the Blinds showed that exploring the possibility of live streaming for the visually impaired and enhancing the user experience and efficiency of the current live stream accessibility design is necessary. This study applied field study, roleplay action, and case studies as preliminary research to explore and reprioritize the challenges of streaming operations and experiences for visually impaired streamers. Finally, A-Live an all-in-one stream system with an auto-follow wind camera and accessibility UI design on TikTok was designed to allow the visually impaired complete live streaming independently.
Health Communication: An Investigation on Emoji, Perceived Visual Informativeness and Social Media Engagement
Authors: S. Lin Tingyi , Luo Yue
Published: June 2023

Compared with traditional channels of information dissemination, social media allow users to explore, to reveal and to share all kinds of information via web, reinforcing word spreading effect with such online interactivities. Convincing health information often contains clear data, distinct hierarchies and strong visual appeal. This study investigated how the application of emoji and design complexity affects social media engagement and the level of perceived visual informativeness of health information. We conducted an online experiment with a 2 (emoji: with versus without) X 2 (information design complexity: high versus low) between-subjects research. A total of 277 subjects participated in this study. Results show that, firstly, health information with emoji leads to higher social media engagement and perceived visual informativeness. Secondly, high complexity information was more convincing in terms of increasing perceived visual informativeness. Thirdly, a significant interaction effect was found on perceived visual informativeness between emoji and the design complexity of health information. In addition, visual symbols, such as emoji, are more meaningful in health information with higher design complexity than those without visual intervention or low complexity. The evidence from this study provides strategies for making visual information in health more persuasive and engaging.
Validation of a rehabilitation platform for visuomotor perceptual and cognitive stimulation
Authors: Fonseca Pedro , Vigário Ricardo , Teresa Videira Gabriel Ana , L. Nunes Isabel , Quintão Carla , Quaresma Cláudia
Published: June 2023

Stroke, or cerebrovascular accident, is a major global health problem and one of the leading causes of death and acquired disability worldwide. After a stroke, deficits in perceptual and cognitive functions may arise, with particular emphasis to impairments caused to visuomotor skills. In this way, its stimulation, within a therapeutic rehabilitation context, is truly relevant for the recovery of lost functions. RehabVisual, presented in earlier works, is a digital platform that allows for an objective and standardized assessment of visuomotor skills and specific clinical interventions for each patient. In the current work, new features are added to the platform, to make it more optimized and suitable for use in clinical practice, with adults who suffered a stroke. Herein the platform is also thoroughly validated with healthy subjects.Objective: This work’s goals are twofold: to assess the accuracy of the eye tracking system developed, which is integrated in the platform; and to test and validate the digital platform itself, with a population of healthy subjects.Methodology: 50 healthy subjects tested the RehabVisual digital platform in a laboratory context. In addition to testing the overall visuomotor rehabilitation functions, dynamic stimuli following was collected from both the platform’s own camera and a Tobii Pro Nano Eye Tracker, which is considered as gold standard to assess direction of gaze. The results of both systems were compared.Results: The platform’s own eye tracking apparatus revealed a good performance, in par with the gold standard, following the evolution of visual stimuli with sufficient accuracy, which ensures the suitability of its use in the context of gaze detection during rehabilitation. Conclusions: The validated gaze tracking ability, together with fact that both stimulus delivery and eye tracking is performed with the same device guarantees synchrony between both streams of data. Recorded videos of those signals allows for the design of new and personalized clinical evaluation and intervention strategies, to be applied throughout the rehabilitation program. Those may be used to complement physiotherapist’s evaluation of patients and allow for the identification of possible changes in their visuomotor skills.As an added feature, a new usability questionnaire was filled by a group of occupational therapists, which reinforced the potential use of the new version of RehabVisual, when applied to visuomotor rehabilitation of stroke patients.
Conversational Agent Automation for patients after cardiothoracic surgery based on clinical team experience and behavior change theory
Authors: Martins Ana , L. Nunes Isabel , Velez Lapão Luís , Londral Ana
Published: June 2023

Cardiovascular disease is a leading cause of death and decreased quality of life. Cardiothoracic surgery provides the chance to live longer with cardiovascular disease. Proper use of clinical protocols, regular clinical evaluation, medication review, improved modifiable risk factors, psychological support, and supervised physical exercise can enhance the longer-term effects of surgery. Additionally, a healthy lifestyle can improve modifiable risk factors and enhance longevity. Despite the great effort of the clinical teams to encourage patients towards healthy habits after surgery, one year after surgery some patients need to be readmitted to the hospital due to avoidable complications. This paper presents a digital conversational agent designed to reinforce the advice about protective behaviors provided by the clinical team, contributing to improving and sustaining health outcomes during the first year after surgery.A Design Science Research Methodology was used to integrate the clinical teams' experience and knowledge, and the patients' knowledge into the final artifact. A needs assessment was conducted to identify improvement opportunities in the cardiothoracic surgery service. A systematic literature review was used to characterize the dimensions of the solutions adopted in previous research, and an interdisciplinary team was assembled to address them comprehensively. Two semi-structured interviews were conducted with the relevant stakeholders (clinical team and patients). Additionally, a survey of theories that explain patient behavior change was done to support the personalization of content delivery. Afterward, a platform to provide the intervention was developed in accordance with stakeholders' requirements.Literature review and semi-structured interviews showed that physical activity and a healthy diet influence modifiable risk factors. Thus, these were the behaviors selected as targets of the intervention digital conversational agent, which is being designed based on the behavior change wheel framework.This work intends to incorporate a Behavior Change Theory into the algorithm definition to improve the comprehension of the intervention's effects and the patient's profile over time. The iterative research approach was chosen to continuously improve the artifact's robustness, sustainability, adoption, and usability by having all the stakeholders at the center of the design process.
Civil aircraft crew alarm ranking method
Authors: Pianpian Zuo , Zhongbin Zhu , Zhu Hongyu , Zhou Lingchen
Published: June 2023

Cockpit crew alerts are primarily used to draw the attention of flight crews to be aware of failures, malfunctions, abnormal states or unexpected state changes in aircraft and aircraft systems. After the 80s of the 20th century, the design of the cockpit crew alert system has made great progress, which can integrate vision, hearing and touch to more effectively provide alerts for the flight crew. New technology applications also bring new challenges and difficulties. As aircraft systems become more complex, so do the number and form of crew alerts. How to quickly locate the most urgent and prioritized faults when multiple faults exist at the same time has become an urgent problem to be solved.In this paper, the sequencing method of crew alerts in the cockpit of civil aircraft is studied, and a method for crew alert priority evaluation is proposed. In this method, a set of crew alert priority evaluation index system is first established and each index scoring standard is given, and then the weight of different indicators is determined by the Precedence Chart to form a multi-index comprehensive evaluation model, and then the crew alarm is evaluated one by one to form a crew alarm ranking list.When establishing the priority evaluation index system, first of all, from the aspects of crew alert awareness and urgency of crew operation, "Impact on aircraft status", "Impact on crew", "Impact on passengers" and "Eventual risk without crew reaction" are selected as the indices. Then, from the aspects of fault impact, crew operation content and fault isolation after crew operation, "Affected system", "Function loss" and "Consequence on aircraft after crew action" are selected as the supplementary indicators; Finally, a set of crew alert priority evaluation index system is formed by combining the two aspects.When formulating the scoring standards for each indicator, according to the content of each indicator, combined with subjective evaluation and objective data, the scoring standard is formed, such as loss of function, different scores can be given according to complete loss, loss of one-third, loss of half, etc.When determining the weights of different indicators, the importance of each index in the flight crew when performing flight tasks is comprehensively weighed by the scoring of flight crews and flight experts. After analyzing the crew alerts one by one, the index score and weight can be superimposed to obtain a comprehensive score, and the crew alert ranking list can be obtained through the comprehensive score.The crew alert sequencing method proposed in this paper can help the flight crew quickly locate the fault that needs to be solved first when multiple faults exist at the same time, so as to effectively reduce the cognitive load of the pilot, improve the operational efficiency, ensure flight safety, and provide a new thinking for the cockpit crew alert sequencing of civil aircraft.
Metaverse and Digital Twins: contributions, opportunities and challenges to a sustainable use of the ocean
Authors: Simões-Marques Mario , Água Pedro , Frias Armindo , Correia Anacleto
Published: June 2023

Human activity often negatively affects the ocean and their livelihoods, with overexploited fisheries, marine pollution, plastic litter, or acidification. The importance of sustainable use of the ocean is recognized under United Nations’ SDG 14, which focused on ocean habitats. Dealing with the challenges facing the ocean and their use requires ocean-related stakeholders to make informed decisions, often complex, due to the cross-domain nature of the issues and the still quite limited amount of knowledge and tools available for such a decision-making process. This article discusses a conceptual framework addressing the contributions and challenges that a Digital Twin Ocean, as a key element of the Metaverse, faces or presents to sustainable ocean use, in support of its stakeholders.
The Usage of 3D Building Information Management (BIM) and Digital Twin Models to Support the Management of Human Factors Integration Issues
Authors: Lowe Chris , Hall Neil
Published: June 2023

3D Building Information Management (BIM) and digital twin models are a growing trend in the construction industry. It provides numerous benefits, such as improved collaboration, visualisation, and accuracy. In recent years, there has been a growing interest in using these technologies to support identifying and managing human factors integration (HFI) issues.HFI is a critical aspect of construction project management as it involves integrating human factors, such as physical and mental capabilities, into the design and construction of buildings. Integrating HFI considerations helps ensure the safety, health, and well-being of construction workers and occupants of the building. However, managing HFI issues can be a complex and time-consuming task.3D BIM and digital twin models allow for the creation of detailed, accurate, and interactive representations of the building and its components. This enables stakeholders to visualise the HFI issues in the building and assess their potential impacts on the construction workers and occupants. The digital twin model can also be used to simulate different scenarios and evaluate the possible effects of HFI issues on the building's performance.Furthermore, using 3D BIM and digital twin models enables the integration of HFI considerations into the design and construction process. This permits the identification and resolution of HFI issues at an early stage, reducing the risk of costly delays and rework. These technologies also facilitate collaboration among stakeholders, improving communication and coordination.Overall, 3D BIM and digital twin models offer a powerful tool for identifying and managing HFI issues in construction projects. It enables stakeholders to visualise HFI issues and evaluate their potential impacts, facilitating the integration of HFI considerations into the design and construction process and ultimately helping to ensure the safety, health, and well-being of construction workers and building occupants.
There is no Planet T in Portugal - Designing a bachelor’s degree in Textile Design for Portugal
Authors: Seixas Sonia , Montagna Gianni , João Felix Maria
Published: June 2023

This exploratory study is part of design research and aims to understand and reflect on Portuguese higher education in textile design and to make recommendations for the different actors involved – academia, industry, and designers. The textile industry is undergoing a process of change in its production processes and business models to minimize the environmental impact caused. New forms of teaching are needed that go beyond the traditional approach and train the ability to apply theoretical knowledge to real-world problems. A non-interventional study was conducted, based on reviewing the literature and focus group, to stimulate reflection and bring new perspectives on the object of study. The study concludes that Portuguese higher education in textile design is limited and should be complemented with a specialized offer in this field in a close relationship between academia and industry to allow shared education, thus contributing to weave a textile economy of the future.
Effectiveness of ergonomics management on risk reduction of work-related musculoskeletal disorders among textile export industrial workers
Authors: Chaiklieng Sunisa
Published: June 2023

This quasi-experimental study aimed to measure the effectiveness of ergonomics management on risk reduction of work-related musculoskeletal disorders (WMSDs). The study was conducted among industrial workers in one small textile-export enterprise. The 13 workers who met the inclusion criteria were found by screening with a risk matrix of WMSDs and had a risk outcome of WMSDs which was at least at the moderate level (level 3 from five levels). The participants were subjected to an ergonomics program according to the risk levels of WMSDs and the effectiveness was measured by individual comparison between before and after the ergonomics program intervention, which consisted of 1) ergonomics training for improving work posture by using guidance with brochures for self-practice; and 2) using equipment designed for improving workstations, i.e., a chair and footstool designed for the sewing section, and foot support designed for the hand weaving section and quality control section. After ergonomics management implementation, the discomfort scores of workers significantly decreased and the scores of WMSDs risk significantly decreased (p-value <0.001). Therefore, these ergonomics management measures, which could be used as a guideline to reduce WMSDs risk among textile workers, suggest that the organization follows up with long-term screening and surveillance of musculoskeletal diseases to enable industrial workers to work efficiently.
Mobile Site and Native App Accessibility Testing Methodology
Authors: Wild Gian
Published: June 2023

The W3C Web Content Accessibility Guidelines, Version 2.0 was released in 2008, prior to the universality of mobile devices that we see today. As a result it does not provide comprehensive testing for accessibility on systems that are displayed on those devices. The update to these guidelines, Version 2.1, does not adequately cover these requirements. Two methodologies have been created by a committee of accessibility specialists that cover the accessibility testing requirements for Mobile Sites and Native Apps. These guidelines have five steps: 1, Identify Devices; 2 (for Mobile Sites) Identify site types and variations, or 2 (for Native Apps) Define application functionality; 3, Test Critical issues; 4, Test mobile-specific issues; and 5, Test assistive technologies and mobile features.
Neuro Digital Experiences for Adaptive Museums
Authors: Laura Nappi Maria , Capece Sonia , Chivăran Camelia , Laudante Elena , Buono Mario
Published: June 2023

The interaction between humans, space and advanced technologies evolves into a relationship of “confluence”, a “symbiosis” between the users’ diversified needs and the potential of technologies to return tailored experiences. Being able to analyze the users’ behavior and their cognitive and perceptual-sensory processes enables the structuring of adaptive experiences that place the user at the center of the process of learning and understanding cultural content. The paper provides a critical-analytical recognition of the current models of fruition and interaction used in museum environments with reference to “digital neuro-experiences”. In this regard, “information interchange” contributes to enhance the visitor experience, enabling the activation of a “silent dialogue” between visitors and artefacts and outlining adaptive trajectories with new opportunities for the valorization of cultural heritage.