An Enhanced Human-Machine Interface Enabled by Augmented Reality – A New Approach for Human Augmentation

The global industrial landscape has deeply changed in the last years due to successive innovations that have led to the emergence of cutting-edge technologies enabled by the digitalisation of industry, or the so-called industry 4.0, such as the use of Augmented Reality (AR). The use of AR technology in workplaces allows the real-time view of an augmented real world environment, which holds a huge potential to organizations, improving the work performance and efficiency in manufacturing environment and enabling an enhanced Human-Machine Interface (HMI). Moreover, the augmentation concept can also be extended to humans, enhancing their capabilities and senses, which allows the creation of “augmented operators” at smart factories, addressing the concept of human augmentation. However, AR technology can provide augmented industrial environments through many different formats and, therefore, with many different purposes. Hence, this paper aims at presenting an approach to assess which type of AR is more suitable for each industrial process. For this purpose, the processes should be analyzed and the required human capabilities and senses to perform the tasks should be further augmented using the appropriate type of AR. The operator is the main focus of this approach, which aims the enhancement of HMI, decreasing the operation times and human effort, as well as, mitigating the safety risks and the eliminating human errors in workplaces. Furthermore, achieving these, wastes are reduced that is one of the main issues in Lean contexts. Keywords: Augmented Reality, Human-Machine Interface, Human Augmentation, Industry 4.0, Ergonomics, Lean Production
Autor principal: 
Ana Cláudia
Pereira
ALGORITMI Research Centre and Department of Production and Systems, University of Minho
Portugal
Coautores: 
Pedro
Arezes
ALGORITMI Research Centre and Department of Production and Systems, University of Minho
Portugal
Anabela C.
Alves
ALGORITMI Research Centre and Department of Production and Systems, University of Minho
Portugal
Francisco J.
Duarte
ALGORITMI Research Centre and Department of Information Systems, University of Minho
Portugal
Introducción: 

1. Introduction

The global industrial landscape has deeply changed in the last years due to the rising advancements in technology and manufacturing processes. The successive technological innovations have led to the emergence of new global concepts, such as the so-called Industry 4.0, or the fourth industrial revolution [1]. Industry 4.0 is being compared with the previous three industrial revolutions that occurred in the last centuries [2]. After steam power, electricity and the advent of computers [3], the emerging fourth industrial revolution will bring together the digital and physical worlds through Cyber-Physical Systems (CPS) technologies, mainly, enhanced by the Internet of Things (IoT) and Services (IoS), which are considered the main Industry 4.0 technology enablers [4], [5].

Industry 4.0 concept can be described as a complex technological system that embraces a set of disruptive industrial developments, being highly focused on the creation of smart products and processes, using smart machines and transforming conventional manufacturing systems into smart factories [6]. This new industrial paradigm holds a huge potential and will bring new opportunities to organizations that are moving toward Industry 4.0, having further impacts in industry, markets, economy, products, business models and completely changing the current workplace and the work environment [5].

Augmented Reality (AR) is one of the disruptive technologies that are also emerging with Industry 4.0 and intends to combine the physical world with computer generated texts, images or animations, providing an intuitive interaction experience to the users. This technology provides new opportunities and can be defined as a real-time direct or indirect view of an enhanced or augmented real world environment, where virtual and physical objects interact in real-time, with the final aim at improving the work performance and efficiency in manufacturing environment [7], [8]. Human augmentation techniques are based on augmenting technologies, providing relevant information to operators, in order to enhance human life and augment human actions, senses, capabilities and cognition, allowing a human-centered real world merged with an information world [9]. Furthermore, an augmented human has extended capabilities regarding physical, sensing and cognitive abilities [10].

Moving toward Industry 4.0 paradigm and implementing emerging disruptive technologies, as AR, will enable new type of interactions between humans and machines, transforming the current industrial workforce and workplaces. Furthermore, the new Human-Machine Interface (HMI) paradigm will lead to deep impacts in tasks of workers and demands in the work environment, which will be characterized by the cooperation between smart machines and humans [10], [11]. Mitigating these impacts is crucial, ensuring that humans perform their tasks with less effort, without overburden or stress or, even, accidents due to workplace unevenness that are considered, normally, symptoms of wastes, based on Lean Production [12], [13].

In order to explore these opportunities, the ongoing project intends to evaluate how Industry 4.0 technologies, namely AR, are changing the HMI and workplaces at smart factories. Consequently, it intends to assess which type of AR is more suitable for each industrial process in order to augment human capabilities and senses. The main expected outcomes with this human augmentation consist in the improvement of task performance and productivity, decreasing of operation times and human effort, as well as, the mitigation of safety risks and the elimination of human errors. Furthermore, creating waste-free workplaces supported by Lean Thinking enabled by an enhanced HMI based on human augmentation is the main goal of this project.

This paper is structured into five main sections. After this introduction, the research methodology is explained in section 2. In section 3, a comprehensive literature review is presented, approaching several concepts, such as, AR, HMI and human augmentation, which are the main topics of this study. The main findings and the new HMI approach under development are explained in section 4 and, finally, in section 5 the main conclusions are drawn.

Metodología: 

2. Methodology

In order to understand the relationship between AR technology and HMI in industrial context, a comprehensive literature review has been carried out, based on the main scientific databases, journal articles, conference papers books and other relevant documentation. Moreover, the literature review has been conducted considering the following electronic scientific databases: ISI Web of Knowledge, Elsevier (Science Direct), Scopus, Emerald Insight and Springer, over the 2000-2019 timeframe period. The aim of this research consisted in two main points: (1) the identification of the main articles and studies that address new HMI approaches in AR environment and (2) the understanding about emerging concepts that are related with the use of AR, such as, human augmentation, augmented operator, augmented worker and operator 4.0. Furthermore, this paper relies on an ongoing project that intends to propose a new approach for Human Augmentation, through the enhancement of HMI using AR. Therefore, this novel approach within the related case study context is presented in this paper.

Resultados: 

3. Literature Review

This brief literature review approaches AR technology, HMI, human augmentation concept as well as augmented operator. These topics support the ongoing project and the new approach to be developed.

3.1. Augmented Reality

One of the emerging disruptive technologies that are being enabled by Industry 4.0 is AR, which intends to combine the physical word with computer generated texts and images or animations, providing an intuitive interaction experience to the users. This technology can be defined as a real-time direct or indirect view of an enhanced or augmented real world environment, combining real and virtual objects [7]. These objects are able to interact in real-time, allowing higher work performance and efficiency in workplaces [8]. The aim of AR is supplementing physical environment through the overlaying of digital computer generated information, such as, sound , images, video and graphics [14], simplifying user’s experience and enhancing their perception and  interaction with physical world by augmenting their sense of reality in real-time [7].

This technology is often related with Virtual Reality (VR), since these are two closely related areas. However, AR and VR are different concepts. VR is a technology that completely immerses their user in a virtual environment generated by computers in a 360-degree views of a simulated world, together with other sensorial experiences. Moreover, Mixed Reality (MR) consists in the intersection between AR and VR technologies, intending to merge physical and virtual worlds and generating new environments where virtual and physical objects interact in real-time [14].

AR can also be understood ass a variation of VR, however, unlike VR whose goal is to totally immerse users in a virtual world, AR aims to augment the real world adding computer generated information over real objects [15]. This information is added three dimensionally, in order to create a visual space and assist human behavior and movements [9]. In other words, AR consists in VR technology applied to real world, while VR is represented only in a simulated environment, AR has a strong focus on the physical environment, augmenting the sense of reality through the attachment of computer-generated information [16].

In the last years, the way of representing work instructions and information to operators has been changing [17]. The emerging technological developments have allowed the transition from traditional paper-based instruction to the application of 3D visualization techniques in order to increase productivity, cost savings and control regarding error traceability. Furthermore, the use of advanced visualization technologies allows real-time changes in instructions and processes available to be seen by workers, avoiding wastes caused by delays and errors [18]. There are many studies about the effectiveness of this technology to represent work instructions and relevant information to operators [19]. The integration of disruptive visualization techniques in work instructions can provide a higher level of quality, reduced times, more precise task performance, and cost effectiveness [20].

Over the last years, advanced techniques, such as AR, are being introduced in industrial environments in order to enhance visualization capabilities. One of the most usual application of AR technology is industrial environment consists in the use of wearable devices based on Head-Mounted Displays (HMD), such as smart glasses and helmets. Wearable devices hold a particular interest to industrial applications, providing hand-free solutions that allow users to communicate effectively with the physical world [21]. Furthermore, mobile hand-held displays, such as smartphones or tablets provide real-time interaction into one single device that overlays real environment by graphical augmentations [22]. The ubiquity and advanced features of mobile devices provide a good opportunity to implement AR in industrial environments for tasks automation and mitigation of information availability deficit for workers [23]. These devices have a large number of applications being more socially accepted when compared with HMD. Due to their easy transportation, these devices are widely used in industry, capturing the real environment through the device camera and providing superimposed real-time information on the display [24]. Spatial Augmented Reality (SAR) has been introduced by Bimber and Raskar [22] as a solution to merge real and virtual worlds. This technology proposes a projector-based AR that can overcome some limitations of the abovementioned types of AR. Despite of wearable and hand-held devices holding huge potential to industrial applications, these solutions are not group-oriented and do not facilitate social interactions. Projector-based AR or SAR can overcome this social gap, creating a space-efficient and seamless visual displays that are able to merge augmented physical objects and real environment in a shared workplace [25].

However, AR technology holds a huge potential to augment all human senses and capabilities, being not limited to sight sense [26]. The concept of AR audio, or augmented audio reality, is characterized by an extended real sound environment, where virtual and real sounds are mixed, allowing augmentation of hearing sense, in order to perceive virtual sounds as an extension to the natural ones, creating a hybrid augmented environment [27]. On the other hand, AR technology allows humans to become stronger and safer in manufacturing environment. Exoskeletons are wearable robots directly controlled by their users that hold a great potential in human physical capabilities augmentation regarding to strength, endurance, durability and speed [28]. This technology consists in a robotic extension of human body, helping in overcoming disabilities or enhance physical performance and capabilities in workplaces, supporting existing human limbs and replacing the lost ones [29]. The creation of super-strong humans in industrial environment is allowed by the use of wearable, lightweight, flexible and mobile exoskeletons that are enable by a biomechanical system powered by motors, pneumatics, levers or hydraulics that provide a cooperative human-robotic system [30].

AR is an emerging technology that intends to seamlessly enhance physical environments with virtual objects, creating a bridge between virtual and physical world and bringing them closer together. However, the importance of the interaction between human and machine has been growing as the technology develops. There are a lot of critical factors that have to be considered during the design of a technological solution that interacts with workers in an industrial environment. It is vital to ensure the accuracy of the provided information in order to allow a correct understanding of the instructions and simplify tasks execution. A lack of communication between machine and human can result in error that can pledge the quality of final product or service. For this reason, it is essential to make sure that the system provides every important information to the workers, in order to avoid human errors [31].

 

3.2. Human- Machine Interface

Moving toward Industry 4.0 paradigm and implementing AR will enable new type of interaction between humans and machines and, eventually, transform the current industrial workforce and workplace. The work environment is rapidly changing in the last few years due to disruptive technological advancements and Industry 4.0 is transforming jobs and required skills.

The most significant changes regards the new HMI paradigm that embraces the interaction between workers and a set of new ways of collaborative work [5]. This new paradigm will lead to deep impacts in worker tasks and demands in work environment, which will be characterized by the cooperation between smart machines and humans [10], [11]. The number of robots and smart machines is increasing, while physical and virtual worlds are merging, which means that a significant transformation is being launched in the current work environment. The increasing relevance of HMI will promote the interaction between both production elements and the required communication between smart machines, smart products and employees, enhanced by the vision of IoT and IoS that is enabled by CPS.

For that reason, ergonomic issues should be taken into account in the context of industry 4.0 and future systems should have a focus on workers and their importance [32], [33]. The integration of Industry 4.0 technologies, namely AR, in manufacturing systems and the increasing implementation of new technologies will have an impact on job profiles, as well as on work management, organization and planning. The main challenge in this context is to avoid what is known as technological unemployment, redefining current jobs and taking measures to adapt the workforce for the new jobs that will be created [34].

To mitigate these impacts, there are several aspects to consider for AR implementation. The AR tools must be developed with functionalities that allow a user-friendly collaboration between human and technology, in order to enhance their experience and improve their performance and awareness in a non-intrusive way. Thus, it will be possible to meet the industrial requirements, allowing people to be more efficient and effective in their tasks [35]. Regarding to human factors, the adoption of AR demands further analysis, since there are some critical factors such as the use of wearables, fatigue effects and optical quality [36]. Furthermore, during the design process of an AR application, there are some important issues to take into account regarding HMI. It is crucial to define who are the users, their needs, system effectiveness metrics, tasks to be performed and user’s capabilities [37].

In order to achieve a human-machine symbiosis that allows higher workforce capabilities and increased manufacturing flexibility in future production systems, it is essential taking into account several aspects regarding technical and economic benefits for companies, such as, higher quality, shorter production times, optimized processes, increased responsiveness and innovation and continuous improvement capacity. However, workers should be the focus of every manufacturing systems and social-human benefits for workforce should be considered, including well-being and quality of working life, job satisfaction, improved ability and skills and higher personal flexibility and adaptation [10].

In augmentation and enhancement of human performance context, Human Cyber-Physical Systems (H-CPS) are the new approach for HMI, bringing together digital and physical worlds. H-CPS aim to achieve higher safety systems for workers, providing a sustainable human-centric production system where humans, machines and software dynamically interact within a cyber-physical world [38]. Based on this context, H-CPS are designed to improve human abilities in order to interact with smart machines within a smart factory which are engineered to fit operator’s cognitive and physical need. Furthermore, these systems intend to enhance cognitive capabilities through the use of technologies, such as wearable devices [10].

Lean Production, an organizational approach that resulted from the Toyota Production System (TPS) [13], plays and important role ensuring safety and enhanced human factors in this context. Ohno [13] has considered wastes the activities do not add value to the products in a client point of view, classifying them into seven categories: overproduction; over processing; transportation; defects; motion; inventory and waiting. Later on, Liker [12] has identified an extra waste, i.e. untapped human potential. Nevertheless, already in 1977, TPS has been defined as a respect-for-human system in a first published English paper because workers were allowed to apply their full potential and actively participate in improving their own workshops [39]. TPS main goal is “doing more with less”, where less means less human effort, less stocks, less resources, less space, less operation time. For this reason, was called Lean Production [40]. In other words, TPS was designed in a way that fewer and fewer resources would be required, in order to deliver the right products at the right time and at the shortest possible deadline, through the elimination of all types of wastes. Taking this into account, TPS also enables a greater production flexibility, while meeting quality standards and deadlines. Additionally, it tries to enable a greater production flexibility, while meeting quality standards and deadlines. After decades, enhancing Lean Production solutions represents a huge potential for current industrial landscape and Lean Automation, which consists in the automation integration into Lean Production, brings several opportunities for the smart factories context [41].

In HMI context, it is crucial to ensure that people develop their tasks without wastes and symptoms of wastes (muda, in Japanese). Beyond muda, there are the mura and muri that are considered the symptoms of muda. Muri is the overburden or stress or, even, accidents that could occur in the workplace due to other symptom of waste, the unevenness, i.e. mura. All together these three Japanese words are called 3M [12]. As so, Lean impacts ergonomics of workplaces [42]. To systematically eliminate wastes, Womack and Jones [43] have designed the Lean principles: Value; Value Stream; Flow; Pull production and Pursuit of Perfection. These principles happen cyclically and allow the continuous improvement, known as kaizen through the people heads, heart and hands (3H) because only people has the capability to think, promoting companies agility [44].

3.3. Human Augmentation

Human augmentation techniques rely on the use of technologies that are able to augment human actions, senses, capabilities and cognition, allowing humans to perceive the real environment in a new and enhanced way. Based on augmenting technologies, such as AR, VR and MR, relevant information is provided to operators, in order to enhance human life and allow new HMI solutions [45]. This approach is centered on the AR users and based on human-centered real world merged with an information world [9].

An augmented human has extended capabilities regarding physical, sensing and cognitive abilities [10]. Physical capabilities refer to operator’s capacity to undertake physical activities required for daily work, such as, lifting, walking, manipulating and assembling. Regarding enhancement of physical capabilities, human augmentation will allow the creation of super-strong workers encased in exoskeletons, being able to safely move and lift more heavy items. Exoskeletons in industrial environment allow humans and technology to cooperate in order to simplify tasks and reduce physical stress, while offering additional protection, support and strength to operators. Enhanced physical capabilities using exoskeletons technology provide improved ergonomic conditions, reduced injuries, accidents and safety risks, higher productivity and quality. Furthermore, with a reduced physical workload, operators can relocate their energy to sensorial and cognitive capabilities, which promotes the sustainability of the workforce, allowing people to perform their tasks longer [38]. Furthermore, people with special needs or elderly people will have their quality of life improved with these new solutions that allow new forms of human actions [45].

Alternatively, AR holds a great potential in sensory augmentation, which consists in the extension of human senses. The sensory augmentation relies on the use of IoT-enabled sensor devices that collect, convert and aggregate external signals that would not be accessible to operators, due to several reasons, such as available data, human limitations or personal limitations. These devices are able to transform one signal into another, allowing humans to identify relevant information and simplifying decision-making processes [10]. AR is able to augment every human sense, however, sight sense augmentation is one of the most studied field. Applications that convert light within a spectrum not visible to human eye into visible light, visualization of dark scenes through infrared or superimposed virtual images provided by wearables or projections are some examples about extensions of the human visual function. Nevertheless, augmentation is not limited to sight sense and other applications can extend hearing function by immersing users in an augmented environment by sound in place of information. Furthermore, the sense of touch can also be augmented providing textures, sensations or radiant temperature that provide information to operators [9].

On the other hand, cognitive capability relies on the ability to undertake mental tasks, such as memory, decision-making, responsiveness, perception and reasoning, that are essential to perform tasks [46]. In Industry 4.0 and smart factories context, the increasing demand for mental tasks can be address by AR technology and new approaches to HMI that support the increased cognitive workload, while considering operators well-being and performance and reducing mental stress [10]. It is possible to intellectually augment humans in a human-centered environment superimposing information into real world regarding work instructions, personal information, directions or safety instructions [9]. In this context, AR technology provides a new HMI, displaying real-time information to operators, which improves decision-making and create new interactions between humans and products due to the available information about them, which allows their configuration and monitoring [38].

However, human augmentation goes beyond the scope of AR, being able to augment spatial and temporal abilities. human augmentation in time and space is known as telexistence. This is a concept that regards to a technology, such as AR, that can free humans from the constraints of time and space, allowing them to experience a real-time perception of being in other place and interact with a remote real, virtual or mixed environment [9].

Operator 4.0 is a concept that has emerged in Industry 4.0 context and can be understood as a smart and skilled operator that performs collaborative work with machines and robots, being enabled by CPS and advanced technologies [38]. AR is a critical enabling technology for improving information transfer between digital world and smart operators in physical world [47].

Discusión de resultados: 

4. New approach for Human Augmentation

To successfully embrace this new industrial paradigm and implement emerging technologies, namely AR, companies need to develop human-centric production systems that focus on workers and their needs. The application of this technology will directly affect operators and their workplaces, creating new interaction between humans and machines. This new interaction will merge digital and physical worlds, resulting in a socio-technical transformation in smart factories and a new HMI paradigm.

Therefore, the ongoing project intends to design a new approach for human augmentation, based on an enhanced HMI enabled by AR technology. This new approach relies on H-CPS, and aims to augment human’s physical, sensorial and cognitive capabilities using AR technology in workplaces.

The purpose of the project consists in creating a symbiosis between human and technology, assessing how AR is changing workforce, workplaces and, consequently, HMI. Accordingly, it intends to assess which type of AR is more suitable for some of the analyzed industrial processes and, therefore, which human sense or capability should be augmented in order to improve task performance, productivity and efficiency at those workplaces.

For this purpose, the processes will be analyzed with a strong focus on human factors, ergonomics, HMI, and safety, identifying the most important human capabilities and senses to perform the required tasks. The main expected outcomes with this human augmentation consist in the decreasing of operation times and human effort, as well as, the mitigation of existent risk factors and the elimination of human errors.

In this context, human augmentation will focus on the enhancement of human factors and HMI, eliminating workplace’s wastes, non-value added activities and risk factors. Furthermore, the operator’s efforts during task performance will be reduced, promoting well-being within the organizations and ensuring equality for all workers, regardless their capabilities or disabilities, promoting a safe and secure working environment.

Moreover, the implementation of AR technology will allow the economic development and improvement of organization’s performance, competitiveness and flexibility. The decreasing workload can also reduce work time, giving people more time to learn, think and innovate.

Conclusiones: 

5. Conclusions

The fourth industrial revolution and the enabling technologies, namely AR, will bring together the digital and physical worlds, where humans and machines dynamically interact. Despite of this new manufacturing concept represents an opportunity to improve companies’ productivity and efficiency, there are some concerns regarding human factors, once this will deeply affect operators and their workplaces.

In industrial context, AR technology holds great potential, allowing higher work performance and efficiency in workplaces that results from human augmentation that consists in the creation of operators with augmented or enhanced physical, sensorial and cognitive capabilities. However, the importance of HMI, in order to ensure a sustainable interaction between operators and machines, has been growing as the technology develops. There are a lot of critical factors regarding human errors, operator’s well-being and industrial safety, being essential to ensure the accuracy of the provided information to simplify tasks performance and reduce workload and operator’s effort.

After a literature review about several key concepts, such as AR, HMI and human augmentation, an ongoing project has been presented, which intends to create a symbiosis between human and technology, providing a sustainable and enhanced HMI based on human augmentation techniques. The purpose of this project, strongly focused on human factors and mitigation of safety risks in workplaces, consists in assessing which type of AR is more suitable for each process, considering the human senses and capabilities that should be augmented in order to reduce human effort during tasks performance.

Operators should be the main focus on every production system. For this reason, it is crucial to ensure that they develop their tasks without symptoms of wastes, such as overburden, stress or accidents that could occur due to the workplace unevenness. AR application in industrial context allows the enhancement of HMI, reducing operation times and human efforts, as well as, mitigating the safety risks and eliminating human errors in workplaces. Furthermore, achieving this, wastes are reduced that is one of the main issues in Lean contexts

Agradecimientos: 
Acknowledgements
The authors acknowledge Fundação para a Ciência e Tecnologia (FCT), Portugal for funding Ana C. Pereira’s Ph.D. Grant SFRH/BD/139533/2018.

This work has also been supported by FCT – Fundação para a Ciência e Tecnologia within the scope of Project: UID/CEC/00319/2019.

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