Implication for Human-Machine Interaction: Autonomous System Interaction Design (ASID) based on NDHB-Model/RT

Author(s):  
Munéo Kitajima
2020 ◽  
pp. 57-78
Author(s):  
Kristian Kloeckl

This chapter is dedicated to models of human-machine interaction (HCI) that have been influential for the design domain and that form the basis of how we think about designing human-machine interactions today. Digital networked technologies have become increasingly pervasive in today's urban environments. But regardless of the urban dimension, the domains of HCI and interaction design have long examined design approaches that take into account the ways in which humans relate to technologies. Different ways of thinking about the interaction between humans and machines have informed the way we work with technologies. The mental models one adopts when working with technologies contribute not only to how they are viewed but also to how these technologies are shaped in substantial ways.


2004 ◽  
pp. 1-27
Author(s):  
Kerstin Rose ◽  
Leon Urbas ◽  
Alexander Kunzer ◽  
Martin Christof Kindsmuller ◽  
Sandro Leuchter

UseWorld.net is a federated user adaptive Internet portal that supports information exchange and cooperation in research and development in the area of human machine interaction. It has been jointly developed with members of Center of Human-Machine-Systems (ZMMS, TU Berlin), Chair of Industrial Engineering and Ergonomics (RWTH Aachen), Chair for Industrial Design (University of Essen) and Center for Human-Machine-Interaction (ZMMI, University of Kaiserslautern). The portal is operated by an independent open incorporated society. It integrates manifold information services (online journal, different thematic link collections, conference database, expert database) and a sophisticated cooperation component to support distributed teams by providing shared workspaces. Software agents for community awareness tasks and a clean and consistent interaction design complete the solution and support the portal’s innovative operation concept, which intends to activate the users to become editors.


2021 ◽  
Vol 74 (74) ◽  
Author(s):  
Alessandro Pollini ◽  
Leonardo Giusti

"Human-machine interaction (HMI) is a multilayered discipline that includes the study of human factors, engineering and interaction design. By its own definition HMI brings together heterogenous design challenges that cross multiple domains. Radical innovation in the field of machine learning, material science, manufacturing processes, sensing and actuating systems are rapidly transforming the way we interact with technology: computers are disappearing into everyday objects, products and systems are becoming more autonomous and proactive, and new interaction techniques are able to capture the richness of the human body expressivity. In this paper, we propose the interface as the material and conceptual place where the novel challenges of HMI should be addressed and solved. Our goal is to open a debate on the centrality of the interface design in industrial design and on the establishment of a multidisciplinary framework to synthesize technological, cognitive, social, cultural, and economic instances. "


2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Xiaolie Wu ◽  
Kezhong Liu ◽  
Jinfen Zhang ◽  
Zhitao Yuan ◽  
Jiongjiong Liu ◽  
...  

Maritime Autonomous Surface Ships (MASSs) are attracting increasing attention in recent years as it brings new opportunities for water transportation. Previous studies aim to propose fully autonomous system on collision avoidance decisions and operations, either focus on supporting conflict detection or providing with collision avoidance decisions. However, the human-machine cooperation is essential in practice at the first stage of automation. An optimized collision avoidance decision-making system is proposed in this paper, which involves risk appetite (RA) as the orientation. The RA oriented collision avoidance decision-making system (RA-CADMS) is developed based on human-machine interaction during ship collision avoidance, while being consistent with the International Regulations for Preventing Collisions at Sea (COLREGS) and Ordinary Practice of Seamen (OPS). It facilitates automatic collision avoidance and safeguards the MASS remote control. Moreover, the proposed RA-CADMS are used in several encounter situations to demonstrate the preference. The results show that the RA-CADMS is capable of providing accurate collision avoidance decisions, while ensuring efficiency of MASS maneuvering under different RA.


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