Sense of agency is the sense that one is causing an action. The increase in machine or system autonomy leads to an increase in the loss of sense of agency for the operation causing the loss of pleasure in the operation or sense of responsibility for the consequences of operations. Designing a sense of agency is necessary, especially in the context of machine autonomy. This calls for the control of the sense of agency, which requires the construction of a model to predict the sense of agency and establishing a design methodology to manipulate the factors of sense of agency. We propose the mathematical model that predicts the sense of agency in a human-machine system based on the comparator model and free-energy principle and what to design to enhance the sense of agency. Proposed model explains the effects of prediction error, prediction uncertainty, and observation uncertainty for body, machine, and environment feedback on the sense of agency. The model generally reveals the interaction effect between prediction error and prediction uncertainty and between prediction error and observation uncertainty. The model prediction can be widely applied as a design guide for enhancing sense of agency of human-machine interfaces.

This paper presents a focused examination of critical performance and design issues for the introduction of highly automated tractors and their user interfaces in agriculture. An industry that as of today mainly uses direct-controlled machines that at least to some extent have partly automated functionalities. Issues include out-of-the-loop unfamiliarity, interface complexity, automation transparency, and changing information modalities in teleoperation scenarios for former cabin-based operated machines. Selected evidence and accompanying concepts and findings from literature are put in context to each issue, informing a systematic design process that utilizes the frameworks of knowledge engineering and ecological interface design. The resulting user interface prototype is built upon the identified requirements in analysis and collected design guidelines, stemming from various research areas. The documentation of the consideration of these in context with additional requirements, such as complexity reduction, information interactivity, and users' existing experiences is meant to provide insights into the often opaque and art-like design space.

Humans are able to perform skilful movements by coordinating muscles throughout the body. It has been revealed that not only neural mechanisms but also direct and dynamic interactions between body parts contribute to muscular coordination. Tensegrity, accurately biotensegrity, can be considered to the basic mechanism for the interactions. Tensegrity structures are composed of tensile and compressive components, and are lighter and more flexible than existing rigid structures. The authors investigated designing wearable tensegrity structures for extending human motor ability, especially assisting in carrying heavy objects. Based on Flemons' spine model, we devised a columnar tensegrity structure that can be expanded to the size of the whole body, and connected each of four columns to the front and back of the body on right and left side. The wearable tensegrity structures can deform flexibly due to tension distribution when external force is applied, and follow the human motions in twisting trunk and walking. Experimental results in carrying heavy objects showed that some muscle activities around hip and knee tended to decrease by using the structures when those joints extended.

In the last decades, mental health disorders have been a growing source of the global burden of disease. Thousands of mental health apps are available nowadays addressing this problem, but studies show that the effectiveness of these apps is jeopardized by the low user engagement.

This study investigates the most potentially effective gamification and nudging techniques in design for improving engagement in mental health apps for young people, by carrying out app-reviews for top installed mental health apps on Google play store and connecting it with engagement data, in addition to conducting expert-interviews with professionals from gamification and design background.

From the findings, techniques that participated in improving retention rates included using app character for creating app narrative and user interaction, in addition to adopting a non-forcible language. While to improve app daily duration of use, simplification nudge, and stating the recommended minutes of use found to be useful. Personalization and social interaction techniques were potentially effective for improving the frequency of app daily use. For the young age group, using juicy feedback and high-quality gamification were recommended

Understanding emergence is an important goal of system thinking, as it can express both desirable and negative properties of products and systems. Emergence has also a special importance as it has a direct link to the performance of products and systems, and thus has a direct relationship with the quality of life and thus sustainability in our societies. Emergence and system thinking are closely related to engineering design methodologies. In our paper, we develop a more precise definition of emergence through the core principles of systems complementarity that are similarity, irreducibility and sophisticated relationships expressed through the interfaces between systems, subsystems or product components.

We demonstrate the utility of the approach based on an aircraft pylon case study by presenting a detailed definition of an interface design matrix and analyse how pylon subsystems influence emergence. The results have shown that the product can be perfectly represented by a model-based approach supporting interface management and the assessment of system complementarity. In turn, this approach allows to go beyond a qualitative definition of emergence, as it proposes a quantitative approach through the assessment of complementarity.

The same information has different cognitive difficulty in different representation forms, especially in the field of interaction design. Thus, Scientists pay attention to the design effectiveness based on visual perception. This study focuses on two problems: 1) The relationship between textual comprehension, spatial understanding and cognitive accuracy of text information; 2) The transformation differences of cognitive elements from text information to 3D image information. First, we conduct an experiment to show the cognitive transformation difference of text elements and 3D image elements. Then, we take the design of "Logoup" 3D modeling software (This is programming driven 3D modeling software) as an example, and applies the experimental results in this study to the interface design of the software. By setting up horizontal and vertical reference planes in the real-time rendering area of the software, we can improve the cognitive efficiency and user experience of users and provide non-professional 3D modeling skill of users with an entrance to create 3D shapes.

The importance of forming concepts in one's mind has been argued from various perspectives in design studies. This experimental study examines how the co-creative process affects concept formation considering its depth.

The authors conducted a learning experiment applying three processes; non-interactive (NI), interactive but non-co-creative (NC), and interactive and co-creative processes (C). To evaluate whether and how deep the concept is formed in the examinee's mind, mimetic Japanese words, which contain several different explicit concepts underlying a certain integrated implicit concept, were chosen as learning materials. The examinees without any knowledge about mimetic Japanese words were gathered globally and the experiment was conducted fully online using English. Examinees were tested several times to measure how they had formed these concepts for comparing the processes.

The findings suggest that the co-creative process enhances the depth of concept formation: involvement load and willingness to participate in the co-creative process lead to deeper concept formation.

Drones are becoming more popular within military applications and civil aviation by hobbyists and business. Achieving a natural Human-Drone Interaction (HDI) would enable unskilled drone pilots to take part in the flying of these devices and more generally easy the use of drones. The research within this paper focuses on the design and development of a Natural User Interface (NUI) allowing a user to pilot a drone with body gestures. A Microsoft Kinect was used to capture the user’s body information which was processed by a motion recognition algorithm and converted into commands for the drone. The implementation of a Graphical User Interface (GUI) gives feedback to the user. Visual feedback from the drone’s onboard camera is provided on a screen and an interactive menu controlled by body gestures and allowing the choice of functionalities such as photo and video capture or take-off and landing has been implemented. This research resulted in an efficient and functional system, more instinctive, natural, immersive and fun than piloting using a physical controller, including innovative aspects such as the implementation of additional functionalities to the drone's piloting and control of the flight speed.

Long-term behaviour changes are critical to answering societal and individual challenges surrounding areas such as sustainability and health. Current understanding of how to bring about sustained behaviour is focused on the identification of Behaviour Change Techniques (BCTs) without explicit guidance on how these should be matched with technological solutions. Based on this gap we set out to answer the research question: What is the relationship between BCTs and interactive immersive technologies with respect to long-term, sustainable behaviour? To this end, we report a literature review on technology trends in the fields of human computer interaction, human robot interaction, and game design. Based on this review we develop three main contributions with implications for design theory and practice. First, we propose a number of characteristics and mechanisms in emerging immersive technologies. Second, we highlight technological pathways connected to specific BCT clusters likely to be disrupted: technology as a conveyor of information, an augmenter of feedback, and as an embodiment of empathy. Third, we explore these connections between BCT clusters and the actual technological interventions.

Pipe inspection robots have been developed to reduce the cost and time required for gas pipe inspection. However, these robots have been developed using a scrap and build method and are not used in practice. In this paper, we propose a method of virtual pipe inspection simulation to clarify the parameters that are important in increasing the robot's ease of use. This paper presents the results obtained by a feasibility study with regard to pipe simulation. We developed a virtual pipe by simulating eight actual turns of an external gas pipe, and a robot equipped with camera at the tip. In the experiments, three individuals working in the field of gas inspection carried out the operation. We obtained questionnaire, time, and brain activity data. The results revealed various important points that must be considered in practical simulation and robot design. In conclusion, the virtual pipe simulation can be useful in developing the design of a pipe inspection robot.

During the process of product engineering, decisions with uncertain consequences have to be made about future development (Albers et al., 2017a). Customer, user and vendor requirements that are already known and those who are relevant for the future have to be recognized and transferred into consistent projects. Classical approaches like customer surveys or market analyses are only partially useful for anticipating or validating future product requirements since they rather evaluate todays situation. Methods of foresight are preferably applied to make decisions under circumstances of uncertainty and to generate future knowledge. The following work treats thus a system that enables the user to deduce future requirements based on trend analyses. The system which was first mentioned in Albers et al. and further developed in Marthaler et al. will serve as the basis. (Albers et al., 2018a; Marthaler et al., 2019). The goal is to present and evaluate a system based on the analysis and identification of trends that allows to identify robust requirements for future product generations and to transfer them into concrete development agreements in the form of a development road map.

In this paper, I identify issues that arose in a recent pilot project in which designers contributed to the construction field. The project was led by an overall responsible innovation goal for sustainability impact: contribute to global CO2 reduction. The innovation solution being developed to achieve this goal was a sustainable renovation concept intended for upscaling. In this pilot project, it was applied to a social housing block of 12 apartments. The designers sought to help align technical solutions with the residents’ later use of their homes, because the latter is an important factor in achieving a zero-energy outcome. The paper identifies four issues that arose in the collaboration between design and construction and installation professionals. The issues are goal translation, goal dissipation, the contested service interface and the contested responsiveness to residents. I argue that designers can engage and contribute through design intervention and applying care in the collaboration, in order to support the success of responsible innovation.