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.

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。

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.

考虑eHMI的行人过街行为研究与决策模型构建

目的针对行人与自动驾驶汽车的交互过程,从行人的角度出发,探索性地提出行人在自动驾驶汽车前的过街行为决策模型。方法首先,将行人过街情景进行分析定义,针对行人的过街意向和与自动驾驶汽车沟通意愿总结出两个典型场景;然后,利用潜变量分析方法将行人在自动驾驶汽车前过街行为的影响因素进行降维分类,并对车外人机交互界面进行设计定义,构建各潜变量的影响因子与测量量表;最后,运用有序Logistic回归方法分析各影响因素对行人过街意向和沟通意愿的影响,构建行人在自动驾驶汽车前的过街行为决策模型。结果量化分析行人过街行为影响因素与其过街决策间相关性及内在关系,提出过程中决定性人车交互方式及各影响因素的变化过程。结论研究提出考虑eHMI的行人过街行为决策模型,将行人过街决策过程分为三个阶段,并总结出车辆行为线索和eHMI线索作用过程的决定性变化曲线及行人与自动驾驶汽车交互流程与关键性节点。

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.

基于脑机接口与人机闭环的远程脑控无人机系统

随着现代军事战争的迅速演变,远程脑控无人机在实现战场信息获取、目标监视和战术部署方面扮演着愈发重要的角色。提出一种应用于远程脑控无人机的压缩感知控制范式和人机闭环控制算法,基于该控制范式及控制算法搭建面向军事应用场景的远程脑控无人机系统。在线实验结果表明:8名被试人员通过该脑控无人机系统进行导航任务,平均任务完成率为0.95,平均任务完成时间为100.46 s,显著优于基于人机开环控制算法的脑控无人机系统;新提出的脑控无人机系统可以应用于军事场景下的战场侦察,大幅度提高作战人员的无人机远程控制能力,拓展作战人员的战场感知范围。

煤矿设备智能电气系统HMI人机界面数据记录并断电保持方法

HMI人机界面不仅可以充当人机交互设备,还可以通过对HMI组态软件进行宏指令编程增加附属功能。以倍福PLC以及台达工业控制显示器DOPW127B为例,阐述HMI人机界面配置数据断电记录的方法。该方法通过软件编程配置增加数据记录存储的功能,可记录设备运行过程中的关键实时数据,使数据量的减少率达到42.7%以上。

基于HMI及PLC的抽水蓄能电站自动化值守联动系统设计

高度智能化的抽水电站是构建优质电网的基础,为提高电网经济效益,提出基于HMI及PLC的抽水蓄能电站自动化值守联动系统。将系统整体架构分为摄像监控、通信与遥视主站三大模块,同时以分控中心为核心设置系统网络拓扑;利用PLC设计软件系统的综合处理与数据通信层,制定PLC遥控命令流程,结合HMI特征设计硬件系统互联方式,完成自动化值守联动系统整体设计。仿真实验表明该系统可提高电站的静态与动态效益,同时启动成功率较高,有助于电网稳定运行。

核电厂数字化人—机界面中信息显示的人因化设计

为了提高核电厂数字化人—机界面中的信息显示设计水平和人员绩效,文章首先介绍了人因化设计的过程。然后从数字化主控室操纵员的认知和操作特性中找到了人因化设计的一般原理,包括:满足认知和操作需求的信息显示设计;满足任务绩效的信息显示设计;满足班组合作与交流的信息显示设计;综合考虑,防止信息过负荷、工作过负荷和情境意识丧失。最后提出依据一般的人因化设计原理建立具体的信息显示设计细则,来指导信息显示的人因化设计,为提升设计水平和质量提供支持。

车载用户界面功能卡片位置和展开方式对搜索和操作绩效的影响研究

目的针对车载交互界面,探索更符合驾驶人查看和操作的功能卡片摆放位置及展开方式。方法实验采用2(功能卡片位置:卡片在左侧/卡片在下方)×2(展开方式:窗口展开/全屏展开)的被试者内实验设计,运用眼动仪对16名被试采集相关眼动追踪数据,因变量为任务完成时间、平均注视持续时间、点击次数、注视次数、总注视时间。结果发现功能卡片位置、功能卡片位置和展开方式的交互作用对驾驶人视觉搜索和操作行为均无显著影响,但展开方式则对驾驶人视觉搜索和操作行为的完成时间有显著影响(方案一和方案二:P<0.001^(***),方案三和方案四:P<0.005^(***)),全屏展开方式能够显著降低任务完成时间。结论研究结果表明,车载交互界面中的功能卡片为全屏展开时,能显著地提高用户搜索和操作效率,从而最大限度地减少认知负荷避免分心,该研究结果能够为车载交互界面设计提供参考。

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.

基于人因工程的船舶驾驶室人机界面布局优化设计

为了解决船舶驾驶室人机界面设计采用人工布局所存在的经验性、主观性、随机性的问题,提出一种将虚拟仿真和优化算法相结合的人机界面布局优化设计方法.首先,通过虚拟仿真得到待布局人机界面各区域的操作舒适度以及最优操作点位置;其次,将人机界面布局准则和人因工程学准则量化为目标函数和约束条件,建立人机界面布局优化数学模型,通过差分进化算法获取大量粒子群算法的粒子初始位置;最后,通过寻优获取人机界面的最优布局并进行虚拟仿真评价.将某控制面板作为算例进行布局优化和虚拟仿真,获取的最优布局结果满足人因工程学准则,人机界面各项性能均有提升.本研究可为船舶驾驶室的高性能人机界面布局设计提供参考.

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.

考虑信息透明度影响的智能高铁驾驶人机界面可视化设计研究

目的驾驶界面的信息透明度是影响司机有效监督和接管智能高铁的关键设计特征。针对透明度信息增加带来的负面影响,提出智能高铁驾驶界面透明度信息的可视化设计方法。方法采用文献调研分析方法,分别对机器人、民防、核能、航空航天等领域的文献进行检索和分析,系统梳理透明度信息的类型、认知任务影响和可视化设计方法;分析智能高铁弹出故障界面的透明度信息,指出目前界面中存在的问题和不足,即任务流程和判断逻辑的视觉呈现不佳,告警信息紧急程度和恢复状态信息缺乏;提出基于逻辑流程图和颜色编码的可视化设计方案,并通过用户实验进行验证。结果发现逻辑流程可视化设计在提升情境意识、任务绩效和降低认知负荷方面有较好的作用。颜色编码可视化设计的有效性取决于是否有逻辑流程的呈现,在没有逻辑流程时,可能会降低操作正确率。结论可视化设计有助于降低透明度信息对认知负荷和任务绩效的负面影响,实现智能高铁的高质量人机协同驾驶。