Developing intelligent human-machine interface for next generation ICU by using user-centered system development approach

2014 ◽  
Author(s):  
Shang Hwa Hsu ◽  
Jui-Sheng Sun ◽  
Yi-Jing Chou ◽  
Chun-Wei Weng
Keyword(s):  
System Development ◽  
Human Machine Interface ◽  
Next Generation ◽  
Machine Interface ◽  
Development Approach ◽  
User Centered

Development of an advanced human–machine interface for next generation nuclear power plants

1999 ◽  
Vol 64 (1) ◽  
pp. 109-126 ◽  
Author(s):  
Soon Heung Chang ◽  
Seong Soo Choi ◽  
Jin Kyun Park ◽  
Gyunyoung Heo ◽  
Han Gon Kim
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Human Machine Interface ◽  
Next Generation ◽  
Machine Interface

The User-Oriented Design and Practice of HMI

2011 ◽  
Vol 58-60 ◽  
pp. 1819-1823 ◽  
Author(s):  
Yu An Duan ◽  
Hai Tao Song ◽  
Yan Ming Sun
Keyword(s):  
Human Factors ◽  
Computer System ◽  
Human Machine Interface ◽  
Specific Method ◽  
Functional Requirements ◽  
Software Products ◽  
The Media ◽  
Machine Interface ◽  
Design And Practice ◽  
User Centered

HMI (Human-machine Interface) is the media of communication between human and the computer system; designers should not only consider the completeness of its functions in the design of software products, but also human factors. It is necessary for the software products to meet the functional requirements of users, besides; a friendly interface is also needed to improve customers’ satisfaction while improving users’ productivity. This paper discusses the principles and specific method of designing a user-centered human-machine interface and then applies the method in the design of the mounter’s interface so as to test the method put forward in the paper.

Development strategies of an intelligent human-machine interface for next generation nuclear power plants

1996 ◽  
Vol 43 (3) ◽  
pp. 2096-2114 ◽  
Author(s):  
Seong Soo Choi ◽  
Jin Kyun Park ◽  
Jin Hyuk Hong ◽  
Han Gon Kim ◽  
Soon Heung Chang ◽  
...  
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Development Strategies ◽  
Human Machine Interface ◽  
Next Generation ◽  
Machine Interface

scholarly journals Challenges and Opportunities in Developing Next Generation In-Vehicle HMI Systems

2019 ◽  
Vol 63 (1) ◽  
pp. 2115-2116
Author(s):  
Rebecca Williamson ◽  
Yu Zhang ◽  
Bruce Mehler ◽  
Ying Wang
Keyword(s):  
Artificial Intelligence ◽  
Human Factors ◽  
Market Share ◽  
User Behavior ◽  
Autonomous Driving ◽  
Human Machine Interface ◽  
Next Generation ◽  
Challenges And Opportunities ◽  
Machine Interface ◽  
User Friendly

The next generation of automotive human machine interface (HMI) systems is expected to be heavily dependent upon artificial intelligence; from autonomous driving to speech assistance, from gesture & touch-enabled interfaces to web & mobile integration. Smooth, safe, and user-friendly interaction between the driver and the vehicle is a key to winning market share. This panel aims to discuss challenges and opportunities for the next generation of automotive HMI from the perspective of human factors and user behavior. Panelists from industry and academia will offer their unique perspectives on the concerns and opportunities in developing future in-vehicle HMIs.

Using Personas with Visual Impairments to Explore the Design of an Accessible Self-Driving Vehicle Human-Machine Interface

2021 ◽  
Vol 65 (1) ◽  
pp. 337-341
Author(s):  
Julian Brinkley
Keyword(s):  
Participatory Design ◽  
Design Research ◽  
Low Vision ◽  
Human Machine Interface ◽  
User Centered Design ◽  
Persons With Disabilities ◽  
Automotive Systems ◽  
Machine Interface ◽  
Persona Development ◽  
User Centered

Recent reports have suggested that most self-driving vehicle technology being developed is not currently accessible to users with disabilities. We purport that this problem may be at least partially attributable to knowledge gaps in practice-oriented user-centered design research. Missing, we argue, are studies that demonstrate the practical application of user-centered design methodologies in capturing the needs of users with disabilities in the design of automotive systems specifically. We have investigated user-centered design, specifically the use of personas, as a methodological tool to inform the design of a self-driving vehicle human-machine interface for blind and low vision users. We then explore the use of these derived personas in a series of participatory design sessions involving visually impaired co-designers. Our findings suggest that a robust, multi-method UCD process culminating with persona development may be effective in capturing the conceptual model of persons with disabilities and informing the design of automotive system.

Designing the human machine interface in the ATIS domain

1990 ◽  
Author(s):  
B. Bly ◽  
P. J. Price ◽  
S. Park ◽  
S. Tepper ◽  
E. Jackson ◽  
...  
Keyword(s):  
Human Machine Interface ◽  
Machine Interface

scholarly journals Evaluation of Multimodal External Human–Machine Interface for Driverless Vehicles in Virtual Reality

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 687
Author(s):  
Jinzhen Dou ◽  
Shanguang Chen ◽  
Zhi Tang ◽  
Chang Xu ◽  
Chengqi Xue
Keyword(s):  
New Technology ◽  
Pedestrian Safety ◽  
Human Machine Interface ◽  
Visual Features ◽  
Visual Modality ◽  
Human Voice ◽  
Road Users ◽  
Machine Interface ◽  
Interaction Efficiency ◽  
Physical Features

With the development and promotion of driverless technology, researchers are focusing on designing varied types of external interfaces to induce trust in road users towards this new technology. In this paper, we investigated the effectiveness of a multimodal external human–machine interface (eHMI) for driverless vehicles in virtual environment, focusing on a two-way road scenario. Three phases of identifying, decelerating, and parking were taken into account in the driverless vehicles to pedestrian interaction process. Twelve eHMIs are proposed, which consist of three visual features (smile, arrow and none), three audible features (human voice, warning sound and none) and two physical features (yielding and not yielding). We conducted a study to gain a more efficient and safer eHMI for driverless vehicles when they interact with pedestrians. Based on study outcomes, in the case of yielding, the interaction efficiency and pedestrian safety in multimodal eHMI design was satisfactory compared to the single-modal system. The visual modality in the eHMI of driverless vehicles has the greatest impact on pedestrian safety. In addition, the “arrow” was more intuitive to identify than the “smile” in terms of visual modality.

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