bluuebunny/crossref_metadata_2025 huggingface dataset:
Inspirations for more sustainable practices in Design: potential of biomimicry, material selection and 3D technology
Authors: Vicente Junior Marcelo , Valdo Alves Maciel Filho Luiz , Arruda Amilton , Oliveira Clementino Thamyres
Published: June 2023

Several reflections arise in the field of design when it comes to the materialization of projects, covering artifacts, systems and others. The debate becomes pertinent due to the Designer's connection to the production chain, since their professional practice generates diverse repercussions for the well-being of living beings and ecosystems on the planet. For this, it is up to the Designer to redefine their practices, and more deeply, their way of thinking; with this, the article aims to contribute to the ongoing paradigm shift. In this context, the article presents analytical and critical perspectives on projects by Ross Lovegroove, Arturo Tedeschi and Neri Oxman; professionals who have in their work the exploration of high-performance materials, alongside with technologies and creative strategies that are at the threshold of human capacity (Arruda, 2022). For the study, projects of designers who seek to carry out the insertion of new materials, technologies and design approaches, such as parametric modeling, will be analyzed. As an example, the Aguahoja project by Neri Oxman developed in 2014, in which it was necessary to develop its own manufacturing platform, generating bio-inspired construction strategies, materialized by software capable of building rigid and flexible structures, can be mentioned. Ross Lovegroove also explores unconventional strategies in the Project Ergo, using highly sustainable material selection approaches, and inspirations from nature's shapes for the human anatomy. Arturo Tedeschi’s “Horizon” Project, for example, features both high and low tech, relying on 3D printing and Murano glass crafts, algorithmic design, and LED technology. Based on the exposed projects, we reinforce: 1) the importance and potential of nature's creative and strategic principles for solving humanity's problems, by uniting functionality, aesthetics and sustainability; 2) the relevance of questioning the role of technology, and applying it to visualize and materialize bioinspirations, as well as to build tools and mechanisms to generate autonomy in creative processes, generating advances in the area; and finally 3) urge the designer to solidify his repertoire about the possibilities related to the selection of materials, as well as the perception of their strengths and weaknesses, also contemplating the immaterial contexts embedded in these raw materials; thus being able to contribute even more to multidisciplinary processes.
Research on Intelligent Cabin (scenario) Design from the Perspective of Tangible Interactive Narratives
Authors: Li Mingyu , Zhao Danhua , Liu Zhizi , Chen Xing
Published: June 2023

The intelligent cabin is a complex multi-scene spatial carrier that lacks a practical and reusable perspective in constructing its scene space and interaction actions, and design participants have fewer efficient visual presentation means to help understand this process. Narrative is a flexible approach, from the overall framework to the interaction feedback, to the dialogue interpretation of each character. The introduction of a narrative perspective on tangible interactions better restores the state of spatial interactions in the cabin and stimulates participants to think more deeply about the cabin concept, spatial location, and modes of interaction. In this article, we investigate the role that tangible interactive narratives play in the development of intelligent cabin scenarios. We show how participants can use these narratives to test the applicability and usability of conceptual ideas by engaging in realistic and coherent tangible interactive narratives.
The Effectiveness of the Attention Guidance mechanisms in VR Museum
Authors: Guo Haowen , Zhao Danhua , Zhang Liyang , Lin Yihong , Xin Hao
Published: June 2023

The COVID-19 pandemic has led to a shift towards digital exhibitions on virtual platforms and the increasing use of VR devices. In most exhibitions, audiences are free to explore and understand the content. However, in themed museums, this freedom may result in missing important exhibits.In this study, we examine the effectiveness of various attention guidance mechanisms and user satisfaction in virtual museums. We designed an immersive VR experiment in a simulated virtual museum environment with four mechanisms: no guide, arrows, characters, and characters that acknowledge the user and environment. There were two guiding directions (left and right) and three museum spacial compositions (60-degree angle, 90-degree angle, and 180-degree angle).Through mixed-method analysis, we found that all three attention guidance mechanisms were effective in guiding users in the three museum spacial compositions. Among them, the virtual arrow had the longest visibility time, and the acknowledging character had the highest user satisfaction.In conclusion, attention guidance mechanisms in VR museums significantly improve user attention to the target. The acknowledging character and arrow have the best guidance efficacy, and spacial composition also has a significant impact on attention effectiveness.
The influence of member matching degree on interdisciplinary team collaboration efficiency
Authors: Zhao Xuandong , Wenjuan Pan , Huimin Pang , Zhou Zihe , Liu Yuehua , Feng Wankun , Lu Zhaolin
Published: June 2023

In order to explore the effect of team members’ matching degree on the efficiency of interdisciplinary team collaboration. This study has utilized Likert Scale to make questionnaires, which were then tested and corrected by simple reliability and validity analysis. The questionnaires were distributed online to investigate the correlation between matching degree and collaboration efficiency. A total of 402 questionnaires were collected and screened. Finally, 346 questionnaires were testified as valid. The SPSS software was then utilized to test the reliability and validity of the data and also make multiple regression analysis. The conclusions were drawn as followed: ① The matching degree of members affects the team collaboration efficiency of interdisciplinary teams. ② The matching degree of behavior and disciplinary knowledge have a positive and significant impact on the efficiency of interdisciplinary team collaboration. ③ Goal matching has a significant impact on the execution efficiency of interdisciplinary teams, but has no outstanding impact on the communication efficiency. ④ Compared with matching of communication behavior, the matching of execution behavior has a more significant impact on the collaboration efficiency of interdisciplinary teams. ⑤ The frequency of team members participating in team collaboration has a significant impact on the matching degree of disciplinary knowledge and communication efficiency.
Service Design of Virtual Decoration Based on Human Factors Requirements
Authors: Haoran Zhang , Sun Yuanbo , Yuqing Song , Siwan Chen , Maoyuan Xu
Published: June 2023

This study considers virtual space as a service implementation site with many people and many machines participating. Menu interfaces, interactive objects, and virtual people in virtual space are considered service access channels in this system. Based on the method of service design, this paper builds a virtual home decoration design platform that users can participate in.First, analyze the user needs in the home decoration service process, especially in the design and planning process. At the same time, according to the characteristics of virtual media, summarize the capabilities of service participants and compilation constraints. Secondly, by reconstructing the human-machine collaborative relationship of service contact elements, a service system with multiple virtual channels and full process coverage is designed to complete the function assignment of a virtual home decoration design platform. Finally, comb the information architecture according to the system's functional requirements. At the same time, a virtual interaction prototype is developed based on the Unity platform.This study verifies the consistency of service design and human-machine system design in concept, process, and method. At the same time, based on the user's perception of service in virtual space, a virtual service contact model is constructed, and a design strategy for a virtual service contact channel that meets human-factor requirements is presented.
Design of interactive service for stray cat adoption based on shared platform
Authors: Yueming Xin , Yue Mao , Liyuan Fang , Yang Yang , Sun Yuanbo
Published: June 2023

In order to solve the stray cat adoption problem, increase the sustainability of stray cat rescue activities and improve the current situation of the existing stray cat rescue platform, this study develops the service design practice through four stages: exploration, definition, development and evaluation. Firstly, the design process and the method of service design are analyzed through literature research. Secondly, the causes of stray cat problem and the current status of existing rescue platforms were investigated. In the exploration and definition stage, using user journey map, personas, and service blueprints to gain user’s needs. The study identified pain points and translated them into functions in this service design. In the evaluation stage, SUS test was used to verify the feasibility of the service design. This study constructed a new online cat raising service platform, including online cat raising service framework, APP design and innovative interaction ways. Continuously optimize the service experience of the existing stray cat support platform to attract users to continuously participate in the stray cat rescue activities. To provide theoretical support and reference for future rescue platforms for stray cats.
Vehicle interaction design strategy based on human-computer interaction carrier
Authors: He Zhiyuan , Sun Yuanbo , Du Xiao , Zhang Huayu , Tang Jiawei
Published: June 2023

With the development of electronic technology, car interaction carriers have evolved from being dominated by hardware interfaces to software interfaces, with Tesla leading the way and even adopting pure software interfaces as car interaction carriers. In the automotive interaction design process, there is a lack of corresponding design strategies to guide the selection of interaction carriers, different interaction carriers have different characteristics, and the wrong use of interaction carriers will affect the user experience. This paper uses literature research and comparative research methods to study automotive interaction carriers and their characteristics, and to develop an automotive interaction design strategy for human-computer interaction carriers.
User Interaction Decisions of Smart Home Products Under the Influence of Situational Differences - A Case Study of Home Lighting Products
Authors: Wu Yuwei , Zhang Junjie
Published: June 2023

With the trend of intelligent systems, interaction between human beings and smart home products tends to be diversified with the development of technology. In this context, whether the selection of different interactive control forms of products will affect the user experience? Moreover, whether situational differences will affect users' interaction decisions? To solve the above problems, this article takes the interactive form of smart home products as the research object and takes the indispensable lighting products in the smart home system as an example. Based on literature research, the classification of interactive control methods of smart home products is clarified at first. The user interview method summarizes several typical daily home situations that are universally representative. In addition, based on questionnaire analysis method, user's interactive decision-making tendency, and decision dimension in several typical family living situations are researched. It is found that the current interactive control methods of smart home products can be roughly divided into touch-based physical interaction, non-touch motion sensing interaction, and third-party device-assisted control. It is also found that in several universal and representative family living situations, the decision-making tendencies and dimensions of interactive control behaviors of different situations are diverse. This study's significance is providing reference ideas and methods for the interaction design and research of smart home products. This study aims to call on designers to comprehensively analyze the diversified value demands of users in combination with the differences in situational demands and then design a corresponding interactive control form, achieving the goal of more humanized interaction between users and smart home products.
Personalized Adaptive Cruise Control with Deep Reinforcement Learning
Authors: Han Zhuocheng , Zheng Xuelian , Ren Yuanyuan , Li Xiansheng , Wang Qingju
Published: June 2023

With the increasing of vehicle intelligence, how to integrate driving style into the autonomous driving decision-making strategies and enhance the driver's trust in the autonomous driving system has become a hot topic. In this paper, a new personalized adaptive cruise control algorithm taking the consideration of driver car-following style is designed. By filtering and reconstructing the driving data in the NGSIM database, indicators characterizing the car-following style are extracted, and K-means is used to cluster the car-following style into three categories: aggressive, general and conservative. A classification identification model is established to realize the online identification of the car-following style. The adaptive cruise controller is designed based on the Dueling Double Deep Q-Network algorithm, and driver car-following style is integrated into the reward function. Corresponding weight coefficients are set according to different working conditions, and the fuzzy rule is used to adjust the weight coefficients of the reward function in real time. The simulation platform is built based on Carsim and Matlab/Simulink to verify the performance of the proposed algorithm. The simulation results showed that the personalized adaptive cruise control algorithm can achieve accurate identification of the driver's car-following style and achieve stable control that incorporates the driver's car-following style. The research can provide reference for the subsequent implementation of more advanced personalized autonomous driving functions.
Driving Behavior Analysis Based on Weighted Cost Function
Authors: Shi Lei , Zhang Youlin , Xu Jicun , Zheng Xuelian , Tong Cui Xiao , Wang Qingju
Published: June 2023

Drivers are the main participants of road traffic, and analyzing their driving behavior characteristics is beneficial to road safety and personalized vehicle insurance formulation. Most existing studies describe driving behavior characteristics by constructing various driving behavior features of driving data. However, drivers' pursuit of different property is the main reason to form different driving behavior characteristics. Therefore, this paper proposes a novel framework, which uses the weight of cost function to represent driving behavior characteristics. Firstly, for every driver’s basic driving maneuver, cost function representing comfort, safety and quickness is calculated. Secondly, for every driver, weights of each characteristic are calculated by entropy weight method. Finally, based on these weights, driving style is clustered by k-means. Different than those previous studies can only describe driving behavior characteristics from results, this paper describes driving behavior characteristics from causes. Therefore, the framework proposed in this paper is helpful to deeply understand differences between various driving behavior characteristics, and beneficial for describing driver decision making. The empirical results on driving data implies that this framework can efficiently recognize driving behavior characteristics.
Ergonomic evaluation of a new handle for laparoscopic dissector based on upper extremity posture
Authors: Jiang Rui , Du Yujia , Wang Haining
Published: June 2023

Extreme motions of upper extremity during laparoscopic surgery have been one of the most important risk factors that cause work-related musculoskeletal disorders among surgeons. This study presents a new pistol-type handle (NPT) for laparoscopic dissector. The new handle provides ergonomic support for the thumb and purlicue to make it more flexibly and steadily to open and close end-effector. Other two commercial handles, including a pistol-type (PT) and a ring-type (RT), were compared together using objective and subjective studies. Twenty surgical students with clinical experience performed simulation tasks of dissection and precision handling. Subjects’ motions (wrist, forearm and upper arm) and performance were measured by inertial measurement unit (IMU) and video analysis, with opinions and perceptions evaluated by questionnaires. The outstanding goniometry results reveal that completing dissection task using NPT reduces the mean angle deviations relative to comfortable upper extremity position. The performance shows no difference between NPT and PT, however, NPT and PT perform less task errors and less task time than RT. The subjective results show that NPT significantly obtains preferences and reduces the degree of task difficulty. For performance on task completion, pistol-type handles show better usability than ring-type. For comfortable upper extremity posture, NPT has been demonstrated goniometry and ergonomic advantages during operations. The handle with thumb and purlicue support can protect surgeons’ musculoskeletal health by means of reducing awkward wrist postures and exaggerated arm arcing movements.
The Sound Nest project: mobile Application design for auditory cognitive training of stressed people in the post epidemic era.
Authors: Gao Fenglin , Xu Fei
Published: June 2023

Under the COVID-19 epidemic and the economic downturn, people's pressure is increasing daily. Many people in the workplace are troubled by the distraction caused by excessive pressure. This paper aims to study the effective methods for stressed people to improve their concentration in the post-pandemic era. It also introduces the design and development process of an Android system-based mobile app - "Sound Nest." With auditory cognitive training as the core, we will conduct nonmusical auditory training for stressed people from three aspects: sound frequency, spatial orientation, and rhythm. We use SteamAudioVR to build a 3D virtual sound field and, with the guidance of visual interface orientation, to help improve our concentration. This software has three training modules. Based on the auditory attention training (AT) of Adrian Wells, it constructs single-source orientation training and multi-source track training modules. Based on the binaural auditory beats training of James · D · Lane · A, build a binaural beat training module. 3D virtual sound field orientation is constructed based on the ASMR Map of Emma L. Barratt. This application conducted sampling tests on some stressed people and received good feedback, which initially entered clinical validation.
BIOFEE: Biomedical Framework for Enhanced Experimentation
Authors: Rouillard José , Vannobel Jean-Marc , Bekaert Marie-Helene
Published: June 2023

Biomedical Framework for Enhanced Experimentation, based on Firebase Real-Time Database, helps in designing and testing various multimodal solutions for patients suffering from progressive diseases. It allows interacting with objects and robots to test various multimodal solutions, such as touch, voice, gesture... to perform tasks according to the patient's pathology. We tested BIOFEE with Unity3D and Webots virtual worlds to compare different ways to interact for particular tasks (switch lamps, pick and place...).
Is it possible to use Kinect sensor for lying position rehabilitation exercise? Kinect V2 versus Azure Kinect
Authors: Shi Yehua , Wang Xiaoyi , Lau Cathy , Tong Kai-Yu
Published: June 2023

The availability of low-cost portable depth sensor camera brings opportunity to be applied in home-based rehabilitation exercise for stroke and other chronic disease patients. Kinect V2 seemed not feasible to easily track motion in a lying position, while the latest Microsoft Azure Kinect has improved the sensor. This paper experimentally explores the feasibility of Azure Kinect and Kinect V2 for lying position rehabilitation exercises and evaluate the tracking performance by changing the camera viewing angles. Two healthy subjects performed upper and lower limb rehabilitation exercise trial on the bed according to supine position and lateral position. The Kinect sensor was tested at 6 viewing angles in human body coronal plane and sagittal plane. Subject motion data and video were recorded and evaluated by two Kinect camera systems. The results showed that the hardware improvement such as resolution enhancement and the neural network motion tracking algorithm of the Azure Kinect depth camera led to higher performance in lying body motion recognition than Kinect v2 for most of the viewing angles. In conclusion, Azure Kinect could improve the lying position body tracking accuracy and it has great potential in the field of rehabilitation with lying position exercises.
Augmented Reality in Heat Stroke Emergency Medical Developing Design
Authors: Liu Shuo-Fang , Sheng Fei Chien
Published: June 2023

Global temperature extremes have increased both the incidence and fatality rate of heat stroke, and the majority of cases take place outside of hospitals, without the assistance of medical personnel. People who work in manual labour ignore vital physiological signals and are unaware that heat stroke is happening, losing the crucial 30 minutes for rescue and risking permanent physical harm or death.The general public is unaware of the proper treatment for heat stroke, even though medical specialists can frequently recognize labour-related heat stroke rapidly. With the development of technology, augmented reality (AR) technology has been incorporated into a variety of industries, providing the medical sector with cutting-edge applications in the area of emergency care. Medical practitioners can swiftly and repeatedly exercise their medical skills by using the advantages of visual medicine when augmented reality technology is used in conjunction with applications for clinical training and practice. Numerous studies have adapted augmented reality technology into applications to help first responders make crucial ambulance decisions in increasingly complicated situations with a visual aid interface, improving the effectiveness of emergency care. In conclusion, this study focuses on how augmented reality technology may be used to create an interface that enables members of the general public to obtain care for heat stroke victims most quickly and effectively possible. This project adopts a Quality function Deployment to develop a user interface for heatstroke first aid that will satisfy users' demands and design criteria. The user interface is meant to give them a quick and easy way to understand how to manage heat stroke victims before they seek medical attention.
A Taxonomy of Situation Awareness Failure Factors in Primary Care
Authors: Patel Ahmed , Talya Porat , Baxter Weston
Published: June 2023

General Practitioners (GPs) report frustration in locating, customising and prioritising data in Electronic Health Records, which impairs their situation awareness (SA) and consequently impacts decision making and quality of care. Gaining SA in primary care before and during the clinical consultation is challenging, mainly due to barriers including time constraints, fragmented data, limitations in GP-patient interaction, usability issues of the Electronic Health Record (EHR) and information overload. This is enhanced with an increasing ageing population, and patients with multimorbidity. Timely and effective communication of information through data visualizations and visual analytics are promising avenues to address some of the GPs situation awareness needs and barriers, potentially supporting clinicians in making more accurate and rapid decisions. In this paper we propose a taxonomy of situation awareness failure factors in Primary Care, based on interviews with Primary Care GPs and Endsley’s SA error taxonomy. We then discuss design implications towards enhancing situation awareness in Primary Care when using EHR systems, supporting the potential of holistic visualisations to enhance SA before and during the clinical consultation.
Knowledge Model for Interactive Safety Performance Indicators for Wearable Rehabilitation Robot: Uniform Standards for Interaction Safety Testing
Authors: Ming Cheng , Du Yanchen , Jiang Ao , Xin Meng , Yu Hongliu
Published: June 2023

Wearable rehabilitation robot (WRR) has become an important tool in the clinical application of rehabilitation medicine, and as WRR is usually attached to the patient's body and in close contact with the therapist, the safety of interaction during rehabilitation is an important consideration for device developers. As the WRR is still in its early stages of development, there is still a gap in international safety standards or technical standards for WRR. As more and more research is conducted on WRR and the technology is gradually improved, the corresponding safety test methods and indicators should be gradually improved. In order to gain a comprehensive understanding of the research hotspots and frontier areas in the field of WRR interactive safety performance, this study analyses the annual distribution of literature, distribution of journals, distribution of research power, important literature, research hotspots and frontiers based on bibliometric methods, and constructs a knowledge model of WRR interactive safety performance indicators. It is found that the research hotspots in WRR safety performance research are mainly focused on four areas: clinical reliability testing, safety performance testing equipment development, mechanical structure optimization and control algorithm optimization. Based on the above research, the knowledge model of interactive safety performance indicators is drawn, and the unified standard for interactive safety testing in the field of WRR safety performance is analyzed and summarized to provide reference for the construction of testing methods for the unified standard for WRR safety testing.
Holistic Design driven by the user experience for the renovation of industrial cultural heritage.
Authors: Pillault Gaelle , Pombo Fátima
Published: June 2023

To create livable cities, to guarantee the well-being of individuals and to promote social cohesion, it is necessary to adopt a more holistic approach to urban development. Designing public space by responding to the challenges and opportunities of constant change is an increasingly relevant area of study for design. Among urban planning tools, the reuse of buildings for a function for which they were not intended to is a strategy that has become unavoidable, particularly because of its social and environmental benefits. The process of reuse promotes urban regeneration, interaction and attachment to place, while simultaneously ensuring continuity between past, present and future. In the case of the reuse of industrial heritage buildings, the modes of preservation and enhancement are influenced by institutions such as UNESCO or TICCIH (The International Committee for the Conservation of the Industrial Heritage) which aim to protect cultural heritage, but at the same time can lead to uniform results. However, to enhance public space and for communities to get involved into projects to transform their cities, it seems essential to address identity and local issues. In this framework, the holistic design approach - that involves a particular attention to context combined with the need for change - can enable the development of subtle and intelligent solutions that make cities more attractive. When we think of holistic design, we usually think of the human factor, a set of functions designed to facilitate and improve the life of the user.This article aims to contribute to the discussion about the role of the holistic design and user experience towards sustainable cultural heritage through the discussion of a particular study case: the FCCVA (Fábrica Centro Ciência Viva de Aveiro/Fábrica-Center of Living Science Center from Aveiro).
Human reliability analysis in aviation accidents: A review
Authors: Tze Fung Lam Steven , H.S. Chan Alan
Published: June 2023

In the civil aviation sector, human factors is the primary cause of many safety incidents. Aircraft flying, maintenance, and operations are the major tasks that are heavily dependent on professionals; thus, they are subject to human error probability. Human reliability analysis (HRA), which can evaluate human state and managing risk, has been developed over the years to identify, predict, and reduce human failures throughout aircraft operating procedures. Different generations of HRA tools have been developed to quantify the risks that are associated with safety accidents, including such as the Human Error Assessment and Reduction Technique, Technique for Human Error Prediction, Standardized Plant Analysis Risk Human Reliability Analysis, Cognitive Reliability and Error Analysis Methods, and Bayesian Network (BN). However, little is known about how these approaches are applied in aviation safety. This review aimed to systematically examine the current status of research on HRA in aviation accidents. A total of 13 studies were included and encompassed the studies of the first, second, and third generalizations of HRA alone or in combination with other methods (e.g., Improved Analytics Hierarchy Process, Functional Resonance Analysis Methods, Human Factor Analysis and Classification System, and Fault Tree Analysis). Results revealed that the third-generation HRA with BN was frequently used, showing great application potential for flight safety risk prevention and reduction. In the future, testing other third-generation HRA models driven by data in the field of airworthiness is necessary.
Team Plan Recognition: A Review of the State of the Art
Authors: Rieffer-Champlin Loren
Published: June 2023

There is an increasing need to develop artificial intelligence systems that assist groups of humans working on coordinated tasks. These systems must recognize and understand the plans and relationships between actions for a team of humans working toward a common objective. This article reviews the literature on team plan recognition and surveys the most recent logic-based approaches for implementing it. First, we provide some background knowledge, including a general definition of plan recognition in a team setting and a discussion of implementation challenges. Next, we explain our reasoning for focusing on logic-based methods. Finally, we survey recent approaches from two primary classes of logic-based methods (plan library-based and domain theory-based). We aim to bring more attention to this sparse but vital topic and inspire new directions for implementing team plan recognition.
User Need Assessment Using Simulator Feature Framework
Authors: Gideon Olugbenga , Ulrich Thomas
Published: June 2023

Full-scope nuclear control room simulators were developed to address operator skill deficits associated with several high-profile accidents occurring in the 1980s. Full-scope simulators are increasingly used to support plant modernization and advanced reactor research and development. New digital control room designs use full-scope simulators to develop and evaluate new concept of operations to support regulator required Human Factors Engineering Program Review Model (HFEPRM) activities. Modern simulator designs require more diverse and robust capabilities to serve the diverse needs of multiple user groups including researchers and educators. A common framework for evaluating features to support training, research, and education is critical to ensure future simulators enable research to support immediate and future plant modernization and advanced reactor deployment needs. An initial framework comprised of eight feature categories was developed by reviewing published simulator-based research and analyzing simulator features against research objectives and results (Gideon and Ulrich, 2022). A survey was administered to simulator users to evaluate the suitability of eight critical capabilities of a modified version of the framework to characterize and differentiate simulators across training, research, and education uses (n = 21). The results demonstrate the framework's effectiveness as a baseline for assessing the functionalities of simulators in line with their specific needs. Future work aims to validate the framework within a regulatory HFEPRM process to demonstrate its use as a tool to identify missing capabilities of existing simulators or to specify requirements for new simulators.
Can Machine Learning be a Good Teammate?
Authors: Blaha Leslie , Morris Megan
Published: June 2023

We hypothesize that successful human-machine learning teaming requires machine learning to be a good teammate. However, little is understood about what the important design factors are for creating technology that people perceive to be good teammates. In a recent survey study, data from over 1,100 users of commercially available smart technology rated characteristics of teammates. Results indicate that across several categories of technology, a good teammate must (1) be reliable, competent and communicative, (2) build human-like relationships with the user, (3) perform their own tasks, pick up the slack, and help when someone is overloaded, (4) learn to aid and support a user’s cognitive abilities, (5) offer polite explanations and be transparent in their behaviors, (6) have common, helpful goals, and (7) act in a predictable manner. Interestingly, but not surprisingly, the degree of importance given to these various characteristics varies by several individual differences in the participants, including their agreeableness, propensity to trust technology, and tendency to be an early technology adopter. In this paper, we explore the implications of these good teammate characteristics and individual differences in the design of machine learning algorithms and their user interfaces. Machine learners, particularly if coupled with interactive learning or adaptive interface design, may be able to tailor themselves or their interactions to align with what individual users perceive to be important characteristics. This has the potential to promote more reliance and common ground. While this sounds promising, it may also risk overreliance or misunderstanding between a system’s actual capabilities and the user’s perceived capabilities. We begin to lay out the possible design space considerations for building good machine learning teammates.
Human Factors in Discovery Phase of TRLs and HRLs
Authors: Jefferson Brett , Baweja Jessica
Published: June 2023

With rapid growth in technology, there has been a corresponding growth in research focused on the ways that human-machine interactions can be improved. As part of that work, researchers have explored how human expertise can inform technology design and evaluation. For example, interaction with subject matter experts (SMEs) or end users can help to design and enhance a machine. The human factors of technology release can be divided into five steps: discovery, planning, development, evaluation, and deployment. This framework is a higher-level abstraction of the Human Readiness Levels for technology use and adoption (See et al. 2018). In this exposition, we discuss how human factors methodologies, principles, and practices can be realized in the first phase, Discovery, of the technology development process.
Cognitive friction measurement: Interaction assessment of interface information in complex information systems
Authors: Feng Ziling , Ji Peng
Published: June 2023

The level of Cognitive Load (CL), which is used to react to the level of cognitive friction, is typically utilized in the study of user cognitive friction. Complex Information System (CIS) interactions include both informational and operational interaction behaviors, and Information interaction is regarded as a critical aspect in defining the quality and efficacy of system functionality. TIn order to assess Cognitive Friction (CF) and inform ensuing interface design improvement, this paper integrates numerous CL assessment aspects. First, a conceptual framework for the method is built by examining measuring metric differences and integrating them through literature research, which is then combined with the user research process in design. Second, using this framework as a reference, a comparative experiment on user CF measurement was carried out by fusing eye tracking with the cause and assessment factors of CL. Ultimately, the user was provided with the CF index under the multidimensional dimension using the Fuzzy Comprehensive Evaluation (FCE). The findings demonstrate that the Multidimensional User Cognitive Friction Measuring (MUCFM) approach may more accurately capture the degree of CF in the information interaction of CIS interfaces. The viability of the comparative integration method is confirmed by eye tracking tests.
Determination of Most Effective Medium for E-Learning by Analyzing the Differences in Various Types of Media
Authors: Iio Jun , Kawamoto Kenta , Sashizawa Tatsuya , Nakai Kumiko
Published: June 2023

The COVID-19 pandemic has increased the demand for e-learning and video-on-demand services in education. Several methods of imparting education through on-demand videos exist based on the content and method of delivery. However, the most effective medium has not been identified conclusively. In this study, we explored the effectiveness of six different presentation patterns: the simple display of materials, materials-and-narration, use of animated avatars, use of realistic-humanoid avatars, and presentation in the metaverse (using standard computer monitors and head-mounted displays). Sixty subjects, ten males and ten females, from each of the young, middle-aged, and senior age groups participated in the experiment conducted in Dec. 2022. Each subject performed three different tasks, and subjective evaluations were conducted using questionnaires.
Application of wearable technologies for the assessment of biomechanical risk in hairdressers
Authors: Silvetti Alessio , Fiorelli Ari , Tatarelli Antonella , Fiori Lorenzo , Chini Giorgia , Varrecchia Tiwana , Papale Adriano , Ranavolo Alberto , Draicchio Francesco
Published: June 2023

It is usual to link respiratory and skin health issues to hairdressing job. The most current papers from throughout the world reported on biomechanics as well. Shoulder, lower back, and upper back joints were the most impacted. Several authors conducted ergonomic risk assessments through standardized protocols, like REBA, founding high-risk levels. Other authors measured shoulder and wrist movement with IMU or inclinometer founding a high biomechanical risk. Only one study used electromyography (sEMG) to compare the activity of male and female hairdressers founding those women had considerably higher sEMG activity. This study only measured the muscle work from upper limb flexors and extensors. To our knowledge, no research has investigated the whole upper body kinematics and sEMG from the upper arm, shoulder, and trunk using instrumentally based tools for hairdressers’ risk assessment. The aim of our study is a biomechanical risk assessment of the subtask of hair drying in two different ways (horizontally – HOR and upwardly - UP). We acquired four expert workers using an optoelectronic system and sEMG. sEMG results showed that the left side of the body was generally more involved than the right one in both the assessed tasks. Latissimus Dorsi, Trapezius Superior, Deltoideus Anterior, and Flexor Carpi Ulnaris were severely affected by this. In the UP task, the shoulders (Trapezius Superior and Deltoideus Anterior) had high mean percentage of Maximum Voluntary Contraction (%MVC) values. According to our sEMG results, holding a phone that weighs almost 1 kg in a static position is less straining on the upper limb and shoulder than constantly moving the left hand while holding a small comb. Kinematic data seems to support this. The left side showed the highest Range of Motion (RoM) values than the right for shoulder abd-adduction and elevation on the UP task and shoulder horizontal abduction, elbow flex-extension, and wrist prono-supination on both tasks. The shoulder flex-extension showed comparable high RoM values in both tasks.Our findings also show a high standard deviation for RoMs, indicating a high heterogeneity in performing the same task. Our research found that hair-drying is a demanding task for hairdressers. We recommend using wearable technologies to have a more reliable work situation instead of standardized protocols for risk assessment.
A Dataset of Watch and Wristband for Deep Learning based Multi-view Stereo 3D Model Reconstruction
Authors: Bowen Ma , Xiao Yi , Guo Xinyu , Pang Yuxiang
Published: June 2023

Multi-view stereo (MVS) 3D reconstruction based on deep learning has achieved great success, however, it requires a very high quality and quantity of datasets compared with other computer vision tasks. Current 3D datasets have great limitations in the reconstruction of industrial products, including low accuracy, few types of styles, and few pairwise image models. In this paper, we introduce a new dataset for MVS 3D Model Reconstruction, focusing on the watch wristband category. Better than the existing available open-source watch and wristband dataset, ours contains more than 1k multi-view high-resolution images and high-precision 3D models, covering cartoon, mechanical, vintage, etc. Most importantly, ours can be used directly for deep learning-based MVS 3D reconstruction, because besides three views of real images, we drew line sketches of the three views, and then match them to the high-precision 3D model one by one. At last, we train the MVS network based on deep learning with our dataset as input and supervision. The experiments show that we achieve significant results, and verify the effectiveness of reconstruction in the watch wristband category.
Key Enabling Technologies and Concepts for the Human-Centric Industrial Revolution
Authors: Lolli Francesco , Maria Coruzzolo Antonio , Gonçalves Terra Neto Platao , Afonso Sellitto Miguel , Gamberini Rita
Published: June 2023

Recently, a new Industrial Revolution has been conceptualized, this is coined with the term “Industry 5.0”. In fact, the rapid development of information and operational technologies enabled the creation of a new human-centric industrial paradigm. In this paper, we collect the necessities to go beyond Industry 4.0, the key technologies enabling Industry 5.0, its concepts, goals and provide an Industry 5.0 map that links all these concepts together. The provided map can be used by practitioners to have a clear vision of Industry 5.0 and to take into account all its objectives, enabling technologies and Industry 4.0 gaps while applying it. The researchers also present further research agenda and roadmap for the development of Industry 5.0.
Bioclimatic High Rise Buildings in China Recent Trends
Authors: Wang Jinzhong , Bonenberg Wojciech , Bonenberg Agata , Wei Xia
Published: June 2023

Today, the architectural design process is based on developing digital technologies, and the interest in „fitting” buildings into a local microclimate is increasing. The study of development trends of high-rise buildings in China shows that, in addition to the requirements of bioclimatic comfort inside buildings, the impact of the bioclimatic external effect on the environment is essential. The study brings up the subject of modeling high-rise building facades to present the tendency of generative design methods in the design process of bioclimatic building.
An Assessment of The Effects of Legislation Policies on Energy Infrastructure Financing in Developing Countries
Authors: Ayorinde Emmanuel , Mahachi Jeffrey , Aigbavboa Clinton , Ncogbo Ntebo
Published: June 2023

Energy development is one of the most germane factors for regional and national development. There is great need for institutional support to aid the development of energy infrastructure in the region. The purpose of this research is to determine the effects of legislation policies in the development of energy infrastructure financing in Nigeria. Data was collected through the aid of questionnaires from respondents using purposive sampling technique. Methods of data analysis deployed for the study are Mean Item Score and Factor Analysis. Views from the study showed that the most significant factor having effect on legislation on energy infrastructure development is policy instability; also the result of the factor analysis showcased two major constructs that formed the effects of legislation policies in the financing of energy infrastructure in the Nigerian economy and these are energy development policies and lack of quality legislation. Conclusion, the study noted that with the underdevelopment in the energy infrastructure sector in Nigeria, there is need for effective policies that will limit the risk of investments in the energy infrastructure sector. This will facilitate great investment by private investors in the sector. This research contributes to energy infrastructure financing in Nigeria, economic growth of Nigeria, which will also boost the number of investments made in the energy sector both in Nigeria and the entire continent.
Financing Power Infrastructure in a Developing Economy: An Exploratory Factor Analysis Approach
Authors: Ayorinde Emmanuel , Mahachi Jeffrey , Aigbavboa Clinton , Ncogbo Ntebo
Published: June 2023

Power infrastructure development plays a fundamental role in nations building and economic growth, and it influences both developed and developing countries. This study assesses the mode of financing power infrastructure in a developing economy. Adopting a quantitative approach, data was retrieved through the use of questionnaire. The target population of the study were professionals saddled in the affairs of implementing policies on power infrastructure. Mean Item Score and Factor analysis served as the methods of data analysis. The study revealed that the most effective ways of financing power infrastructure are public-private partnership; also revealed from the factor analysis is three major constructs that serves as the major ways of financing power projects which are development mechanisms, public-private sources, and foreign financing mechanisms. Conclusively, the study outlined that the weight and strength required to develop power infrastructure effectively is enormous in nature, it is therefore imperative that government institutions find a lasting and effective solution to the problem of power infrastructure financing. Ultimately this will help improve economic profile and social development of a developing economy. This study contributes to the power infrastructure and social development of developing economies. This will help improve electricity security in developing economy since financing power infrastructure effectively is one of the major problem facing development in Africa.