The Creative Design Research of Product Appearance Based on Human-machine Interaction and Interface

Today’s product creative design has rendered many fe atures and has brought a great change in our everyday life, there are many new c hallenges in its traditional theory and principle. According to the traditional design theory, the FBS design model pays more attention to the function and stru cture of the product. But this model still couldn’t strengthen the relation bet ween product appearance design and human-machine design effectively. This paper adopt converse design thinking and presents an improved design thinking methodo logy based on C: FBS for product appearance design and give a general summarizat ion for the features, methods and technology based on human-machine interaction and interface. Meanwhile it also combines with the behavior design of product r elated IT fields and constructs a new outline to improve the design of product a ppearance supported by the technology of computer aided design. So the new metho d about design thinking for computer aided design, the new abstract product design model and the key problem of design thinking based on human-machine inte raction and interface are addressed in this paper. This kind of creative design theory that is driven by human-machine interaction and interface will help the development of CAD software system and the research of product design and manufa cture. Additionally, this paper gives some beneficial characters to address the theory based on human-machine interaction and interface. Meanwhile, combining with the developing of computer technology, the trends of design thinking based on t he technology of human-machine interaction and interface are also analyzed and discussed at the end of this paper.

Conformal Human–Machine Integration Using Highly Bending‑Insensitive,Unpixelated,and Waterproof Epidermal Electronics Toward Metaverse

Efficient and flexible interactions require precisely converting human intentions into computer-recognizable signals,which is critical to the breakthrough development of metaverse.Interactive electronics face common dilemmas,which realize highprecision and stable touch detection but are rigid,bulky,and thick or achieve high flexibility to wear but lose precision.Here,we construct highly bending-insensitive,unpixelated,and waterproof epidermal interfaces(BUW epidermal interfaces)and demonstrate their interactive applications of conformal human–machine integration.The BUW epidermal interface based on the addressable electrical contact structure exhibits high-precision and stable touch detection,high flexibility,rapid response time,excellent stability,and versatile“cut-and-paste”character.Regardless of whether being flat or bent,the BUW epidermal interface can be conformally attached to the human skin for real-time,comfortable,and unrestrained interactions.This research provides promising insight into the functional composite and structural design strategies for developing epidermal electronics,which offers a new technology route and may further broaden human–machine interactions toward metaverse.

基于TIA Portal的HMI+PLC虚拟仿真探究

文章提出一种在TIA Portal软件上集成人机界面(Human Machine Interface,HMI)和可编程逻辑控制器(ProgrammableLogicController,PLC)进行虚拟仿真的方法。该方法能够在现有的硬件条件下,使学生不受时间、地点等的限制,只需要在计算机上安装TIA PORTAL软件就可以进行虚拟学习,构建控制系统,进行硬件组态、编程、控件组态、仿真运行和程序调试等。最后,以十字路口的交通灯为例,采用基于实际物理设备和基于TIAPORTAL软件虚拟仿真两种方式搭建控制系统,完成项目的设计、组态、编程、调试和运行测试。主要任务是寻找方法构建虚拟网络,将虚拟运行的PLC与HMI设备联系起来,实现虚拟设备之间和软件之间的数据传输,达到与使用实际物理设备效果相同的目的。

基于eHMI的车外人机交互信任影响因素研究

目的更好地发挥车外人机交互界面(eHMI)的潜在优势,研究车外人机交互过程中的信任影响机制。方法首先基于自动化信任理论,提出感知可靠性、感知透明度、感知熟悉度、感知车辆性能、感知品牌信誉和感知主观倾向等6个车外人机交互信任影响因素,然后使用结构方程模型的方法对305名被调查者进行数据分析,由此建立车外人机交互信任影响因素的理论模型。结果行人通过对eHMI信号感知而形成的信任能够影响对自动驾驶汽车的信任,行人对eHMI的信任一定程度上转移成为行人对车辆的信任,eHMI的辅助作用得到体现。强调了eHMI设计中感知可靠性的重要性,这能够被熟悉度、透明度和品牌信誉所影响。同时,行人的主观倾向和对车辆性能的感知也是影响信任水平的重要因素。结论研究结果为车外人机交互信任对于自动驾驶汽车在未来道路上使用的重要性提供了证据,同时也为eHMI的设计提供了参考和建议。

Bioinspired nanomaterials for wearable sensing and human–machine interfacing

The inculcation of bioinspiration in sensing and human–machine interface(HMI)technologies can lead to distinctive characteristics such as conformability,low power consumption,high sensitivity,and unique properties like self-healing,self-cleaning,and adaptability.Both sensing and HMI are fields rife with opportunities for the application of bioinspired nanomaterials,particularly when it comes to wearable sensory systems where biocompatibility is an additional requirement.This review discusses recent development in bioinspired nanomaterials for wearable sensing and HMIs,with a specific focus on state-of-the-art bioinspired capacitive sensors,piezoresistive sensors,piezoelectric sensors,triboelectric sensors,magnetoelastic sensors,and electrochemical sensors.We also present a comprehensive overview of the challenges that have hindered the scientific advancement in academia and commercialization in the industry.

Intelligent Machine Learning Based EEG Signal Classification Model

In recent years,Brain-Computer Interface(BCI)system gained much popularity since it aims at establishing the communication between human brain and computer.BCI systems are applied in several research areas such as neuro-rehabilitation,robots,exoeskeletons,etc.Electroencephalography(EEG)is a technique commonly applied in capturing brain signals.It is incorporated in BCI systems since it has attractive features such as noninvasive nature,high time-resolution output,mobility and cost-effective.EEG classification process is highly essential in decision making process and it incorporates different processes namely,feature extraction,feature selection,and classification.With this motivation,the current research paper presents an Intelligent Optimal Fuzzy Support Vector Machine-based EEC recognition(IOFSVM-EEG)model for BCI system.Independent Component Analysis(ICA)technique is applied onto the proposed IOFSVM-EEG model to remove the artefacts that exist in EEG signal and to retain the meaningful EEG information.Besides,Common Spatial Pattern(CSP)-based feature extraction technique is utilized to derive a helpful set of feature vectors from the preprocessed EEG signals.Moreover,OFSVM method is applied in the classification of EEG signals,in which the parameters involved in FSVM are optimally tuned using Grasshopper Optimization Algorithm(GOA).In order to validate the enhanced EEG recognition outcomes of the proposed IOFSVM-EEG model,an extensive set of experiments was conducted.The outcomes were examined under distinct aspects.The experimental results highlighted the enhanced performance of the presented IOFSVM-EEG model over other state-of-the-art methods.

Design and Evaluation of a User Interface for an Autonomous Agricultural Sprayer

This paper describes the design and evaluation of a user interface for a remotely supervised autonomous agricultural sprayer. The interface was designed to help the remote supervisor to instruct the autonomous sprayer to commence operation, monitor the status of the sprayer and its operation in the field, and intervene when needed (i.e., to stop or shut down). Design principles and guidelines were carefully selected to help develop a human-centered automation interface. Evaluation of the interface using a combination of heuristic, cognitive walkthrough, and user testing techniques revealed several strengths of the design as well as areas that needed further improvement. Overall, this paper provides guidelines that will assist other researchers to develop an ergonomic user interface for a fully autonomous agricultural machine.

IUID Method-Mix: Towards a Systematic Approach for Intercultural User Interface Design (IUID)

A method-mix for intercultural user interface design (IUID) is explained and exemplified by application examples based on a hybrid approach covering cultural contexts in human-computer interaction (HCI) design using a model of culturally influenced HCI. Cultural influence on HCI is described using cultural variables for user interface design. Assumptions and empirical results regarding the influence of culture on HCI, considering the path of the information processing and the interaction style between Chinese and German users are explained based on cultural models. Subsequent indicators represent the relationship between culture and HCI (culturally imprinted by the user). Correlations adopted theoretically between cultural dimensions and variables for HCI design were investigated. These correlations represent relevant constituents of a model for culturally influenced HCI. Considerations applying this model and evidence for the proper application of the IUID method-mix are presented elucidating why and how cultural aspects play a role in HCI design and usability/UX engineering. The IUID method-mix serves to inspire HCI engineers in the requirement analysis phase as well as HCI designers in the design phase. The readers are thereby sensitized to the challenges of intercultural usability/UX engineering and intercultural HCI design and will be equipped with methodological knowledge relevant to the derivation of design recommendations for user interface design for and in their desired cultural contexts. Finally, implications for practitioners are shown, including HCI style scores and practical design recommendations, to prognosticate the effort and the expenditures for considering the cultural context in IUID.

基于HMI人机接口的内窥镜物联网精细化管理

本文以医院内窥镜为例,探索建立基于物联网的医疗器械精细化管理体系。通过HMI人机接口提取数据的方式,进行数据的分析、挖掘及应用,确定管理及决策的优化方向。实验证明:该体系提高了清洗消毒和患者诊疗的平均等待时间及开机率,不仅为医疗器械全流程精细化管理工作的实施提供了有力的保障,而且对最新物联网技术结合内窥镜的原理及实际使用情况的实时采集运行中的重要信息,具有一定的科学意义。

Design issues for human-machine platform interface in cable-based parallel manipulators for physiotherapy applications

We outline problems and potential solutions for feasible human-machine interfaces using cable-based parallel manipulators for physiotherapy applications.From an engineering perspective,we discuss the design constraints related to acceptance by patients and physiotherapist users.To date,most designs have focused on mobile platforms that are designed to be operated as an end-effector connected to human limbs for direct patient interaction.Some specific examples are illustrated from the authors' experience with prototypes available at Laboratory of Robotics and Mechatronics (LARM),Italy.

Technology acceptance comparison between on-road dynamic message sign and on-board human machine interface for connected vehicle-based variable speed limit in fog area

Purpose–Connected vehicle-based variable speed limit(CV-VSL)systems in fog area use multi-source detection data to indicate drivers to make uniform change in speed when low visibility conditions suddenly occur.The purpose of the speed limit is to make the driver’s driving behavior more consistent,so as to improve traffic safety and relieve traffic congestion.The on-road dynamic message sign(DMS)and on-board human–machine interface(HMI)are two types of warning technologies for CV-VSL systems.This study aims to analyze drivers’acceptance of the two types of warning technologies in fog area and its influencing factors.Design/methodology/approach–This study developed DMS and on-board HMI for the CV-VSL system in fog area on a driving simulator.The DMS and on-board HMI provided the driver with weather and speed limit information.In all,38 participants participated in the experiment and completed questionnaires on drivers’basic information,perceived usefulness and ease of use of the CV-VSL systems.Technology acceptance model(TAM)was developed to evaluate the drivers’acceptance of CV-VSL systems.A variance analysis method was used to study the influencing factors of drivers’acceptance including drivers’characteristics,technology types and fog density.Findings–The results showed that drivers’acceptance of on-road DMS was significantly higher than that of on-board HMI.The fog density had no significant effect on drivers’acceptance of on-road DMS or on-board HMI.Drivers’gender,age,driving year and driving personality were associated with the acceptance of the two CV-VSL technologies differently.This study is beneficial to the functional improvement of on-road DMS,on-board HMI and their market prospects.Originality/value–Previous studies have been conducted to evaluate the effectiveness of CV-VSL systems.However,there were rare studies focused on the drivers’attitude toward using which was also called as acceptance of the CV-VSL systems.Therefore,this research calculated the drivers’acceptance of two normally used CV-VSL systems including on-road DMS and on-board HMI using TAM.Furthermore,variance analysis was conducted to explore whether the factors such as drivers’characteristics(gender,age,driving year and driving personality),technology types and fog density affected the drivers’acceptance of the CV-VSL systems.

Stretchable human-machine interface based on skin-conformal sEMG electrodes with self-similar geometry

Current stretchable surface electrodes have attracted increasing attention owing to their potential applications in biological signal monitoring, wearable human-machine interfaces（HMIs） and the Internet of Things. The paper proposed a stretchable HMI based on a surface electromyography（sEMG） electrode with a self-similar serpentine configuration. The sEMG electrode was transfer-printed onto the skin surface conformally to monitor biological signals, followed by signal classification and controlling of a mobile robot. Such electrodes can bear rather large deformation（such as 〉30%） under an appropriate areal coverage. The sEMG electrodes have been used to record electrophysiological signals from different parts of the body with sharp curvature, such as the index finger,back of the neck and face, and they exhibit great potential for HMI in the fields of robotics and healthcare. The electrodes placed onto the two wrists would generate two different signals with the fist clenched and loosened. It is classified to four kinds of signals with a combination of the gestures from the two wrists, that is, four control modes. Experiments demonstrated that the electrodes were successfully used as an HMI to control the motion of a mobile robot remotely.

基于HMI和PLC的立体车库自动控制系统

设计了一种垂直提升平移式立体车库的自动控制系统。详细介绍了基于HMI和PLC控制的立体车库工作原理及系统软、硬件设计。该系统具有操作简便,自动化程度高,运行速度快、可靠性高等特点。

HMI在PLC控制系统中核子秤标定过程中的应用

文章介绍了核子秤在甘蔗糖厂均衡输蔗自动控制系统应用中的特点 ,以及基于HMI和PLC的核子秤物料吸收系数的标定方法 ,方便直观的可视化操作 ,实用性强 ,效果好。

人机界面HMI在涡流探伤中的应用

文中介绍了在涡流探伤中,通过调整人机界面HMI上的探钢管直径及探伤速度等参数,使工业现场的PLC做出响应,让人机界面HMI与PLC可编程控制器达到完美的结合,进而可灵活控制设备的运行。探伤任务的下传及探伤结果的上传可通过人机界面中的通讯功能在管理层与应用层之间方便地传送,从而使涡流探伤设备操作变得更加方便及富有人性化,充分体现了工控自动化在无损检测中的重要作用。

HMI在公共交通候车服务中的应用研究

人机界面(HMI)是现代自动化控制领域中应用最广泛的人机界面技术,其在厂矿、冶金、交通等行业中的工程解决方案尤为丰富。针对目前公共交通候车服务中存在的检票混乱、候车环境恶劣等普遍问题,研究了以i Fix和PAC为基础的HMI平台,详细阐述了该平台的硬件配置、软件组态及人机界面设计方法,并开发出一套集自助检票、通道指引、室温调节、灯光调节、寻人寻物和安全报警功能于一体的管理系统。系统有效解决了公共候车服务中存在的弊端,并为HMI技术在公共服务中的应用提供参考。

基于PLC及HMI的陶瓷卫生洁具漏水检验系统设计

座便器漏水检验装置是陶瓷卫生洁具检验中非常关键的设备。本文介绍了一种座便器漏水检验系统的设计方案,整个系统主要由气动系统、PLC控制系统和HMI三部分组成。气动系统为执行机构,PLC为主控核心,HMI负责进行实时监控。用压力传感器和12位转换模块检测真空度,精确度较高;用状态转移图设计主程序,直观简单。通过HMI设定和显示相关生产数据,且设计了统计报表功能,企业可及时准确掌握产品的具体情况。

基于GE Proficy/HMI SCADA-iFIX的综合监控系统人机界面开发与设计

规划了地铁综合监控系统人机界面的系统功能,对综合监控系统进行了架构设计,利用GE Proficy/HMI SCADA-iFIX的技术优势,具体实现了用户安全策略与登陆界面、主菜单和主界面、电力监控PSCADA、环控BAS、火灾监控FAS、列车信号ATS、闭路电视CCTV、报警一栏等8项设计功能,在大型分层分布式集散控制系统人机交互界面设计、用户安全策略、实时视频监控等7个方面进行了技术尝试和方法创新,对相关应用具有一定借鉴价值。

一种新的虚拟仿真HMI技术研究及实现

为了适应目前电站仿真机对HMI仿真提出的更高需求,提出了一种全新的虚拟仿真HMI技术。首先归纳总结了现有的电站HMI仿真实现策略,分析给出了每种策略的优劣之处;提出了虚拟仿真HMI技术的概念及特点;然后详细阐述了该技术的设计思路;进而给出了虚拟仿真HMI技术的实现方法及案例,验证了该技术的成功应用;最终给出了结论。

基于控制策略数据的ACC切入场景下HMI设计研究

目的通过基于控制策略数据的智能汽车自适应巡航控制功能的人机界面设计研究、实践和评估,为自动驾驶汽车中的智能功能HMI设计提供参考方法和指导。方法首先通过大量查阅文献资料,了解ACC功能在切入场景下的运行逻辑和控制策略参数。然后结合驾驶员操作及认知任务,抽离出汽车HMI中进行展示的数据信息。最后通过信息架构设计、基础元素设计和多屏互动方案设计等设计分析和实践,对切入场景下汽车多屏HMI进行设计。结果对ACC功能切入场景下的设计方案进行了可用性测试评估,结果显示ACC的HMI设计方案逻辑清晰,有较高的可用性。结论基于控制策略数据的HMI设计,能有效帮助设计人员进行复杂汽车智能功能的人机交互设计,提高HMI可用性。