USER CENTERED DESIGN OF PATIENT USER INTERFACES FOR REMOTE TRAINING SUPERVISION - A User Study

2010 ◽  
Keyword(s):  
User Interfaces ◽  
User Study ◽  
User Centered Design ◽  
Remote Training ◽  
User Centered

Developing Clinical Decision Support System for Sleep Staging Tasks by Formulating Explanations from Artificial Intelligence: User-Centered Design and Evaluation. (Preprint)

2021 ◽  
Author(s):  
Jeonghwan Hwang ◽  
Taeheon Lee ◽  
Honggu Lee ◽  
Seonjeong Byun
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Design Process ◽  
Clinical Decision Support ◽  
User Study ◽  
Clinical Decision ◽  
Sleep Staging ◽  
User Centered Design ◽  
Iterative Design ◽  
User Centered

BACKGROUND Despite the unprecedented performances of deep learning algorithms in clinical domains, full reviews of algorithmic predictions by human experts remain mandatory. Under these circumstances, artificial intelligence (AI) models are primarily designed as clinical decision support systems (CDSSs). However, from the perspective of clinical practitioners, the lack of clinical interpretability and user-centered interfaces block the adoption of these AI systems in practice. OBJECTIVE The aim of this study was to develop an AI-based CDSS for assisting polysomnographic technicians in reviewing AI-predicted sleep staging results. This study proposed and evaluated a CDSS that provides clinically sound explanations for AI predictions in a user-centered fashion. METHODS User needs for the system were identified during interviews with polysomnographic technicians. User observation sessions were conducted to understand the workflow of the practitioners during sleep scoring. Iterative design process was performed to ensure easy integration of the tool into clinical workflows. Then, we evaluated the system with polysomnographic technicians. We measured the improvements in sleep staging accuracies after adopting our tool and assessed qualitatively how the participants perceived and used the tool. RESULTS The user study revealed that technicians desire explanations relevant to key electroencephalogram (EEG) patterns for sleep staging when assessing the correctness of the AI predictions. Here, technicians could evaluate whether AI models properly locate and use those patterns during prediction. Based on this, information in AI models that is closely related to sleep EEG patterns was formulated and visualized during the iterative design process. Furthermore, we developed a different visualization strategy for each pattern based on the way the technicians interpreted the EEG recordings with these patterns during their workflows. Generally, the tool evaluation results from the nine polysomnographic technicians were positive. Quantitatively, technicians achieved better classification performances after reviewing the AI-generated predictions with the proposed system; classification accuracies measured with Macro-F1 scores improved from 60.20 to 62.71. Qualitatively, participants reported that the provided information from the tool effectively supported them, and they were able to develop notable adoption strategies for the tool. CONCLUSIONS Our findings indicate that formulating clinical explanations for automated predictions using the information in the AI with a user-centered design process is an effective strategy for developing a CDSS for sleep staging.

scholarly journals Using Operational Scenarios in a Virtual Reality Enhanced Design Process

2021 ◽  
Vol 11 (8) ◽  
pp. 448
Author(s):  
Katie Aylward ◽  
Joakim Dahlman ◽  
Kjetil Nordby ◽  
Monica Lundh
Keyword(s):  
Virtual Reality ◽  
Design Process ◽  
User Interfaces ◽  
End Users ◽  
Concept Development ◽  
User Centered Design ◽  
User Testing ◽  
Training And Education ◽  
Design Processes ◽  
User Centered

Maritime user interfaces for ships’ bridges are highly dependent on the context in which they are used, and rich maritime context is difficult to recreate in the early stages of user-centered design processes. Operations in Arctic waters where crews are faced with extreme environmental conditions, technology limitations and a lack of accurate navigational information further increase this challenge. There is a lack of research supporting the user-centered design of workplaces for hazardous Arctic operations. To meet this challenge, this paper reports on the process of developing virtual reality-reconstructed operational scenarios to connect stakeholders, end-users, designers, and human factors specialists in a joint process. This paper explores how virtual reality-reconstructed operational scenarios can be used as a tool both for concept development and user testing. Three operational scenarios were developed, implemented in a full mission bridge simulator, recreated in virtual reality (VR), and finally tested on navigators (end-users). Qualitative data were captured throughout the design process and user-testing, resulting in a thematic analysis that identified common themes reflecting the experiences gained throughout this process. In conclusion, we argue that operational scenarios, rendered in immersive media such as VR, may be an important and reusable asset when supporting maritime design processes and in maritime training and education.

scholarly journals Application of Affordance Factors for User-Centered Smart Homes: A Case Study Approach

2020 ◽  
Vol 12 (7) ◽  
pp. 3053 ◽  
Author(s):  
Younjoo Cho ◽  
Anseop Choi
Keyword(s):  
Information And Communication Technologies ◽  
User Interfaces ◽  
Smart Home ◽  
Smart Homes ◽  
User Centered Design ◽  
Active Devices ◽  
Study Approach ◽  
Information And Communication ◽  
User Centered

Smart homes improve quality of life by providing various services based on information and communication technologies. However, smart home systems are complicated and user interfaces for the interaction between smart home and user are often not user-friendly, causing potential difficulties and inconvenience for the user. Therefore, in order for smart homes to become user-centered, usability needs to be improved. This study aims to present guidelines for improving the usability of smart homes based on the concept of affordance, which is highly meaningful in user-centered design. To do this, firstly, the affordance factors that could be applied to improve the usability of active devices and user interfaces in smart homes were extracted, secondly, a case study was conducted to analyze the application of affordance factors, focusing on active devices (e.g., control devices and smart appliances) and user interfaces that directly interact with users in smart homes. Lastly, guidelines on the application of affordance factors were presented by combining case analysis results with relevant guidelines. Active devices and user interfaces should provide users with appropriate cognitive, physical, functional, and sensory affordances so that users can use the smart home services easily and conveniently.

scholarly journals PRINCIPLES OF USER-CENTERED DESIGN

2001 ◽  
Vol 1 ◽  
pp. 245
Author(s):  
Nellija Bogdanova
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Computer Training ◽  
Design Criteria ◽  
User Centered Design ◽  
Training Courses ◽  
User Centered

Good user interfaces are essential for any successful product. A process of the user interface creation is not available include in the algorithmic scheme. In this articles will formulate principles principles o f user-centered design, criteria o f ergonomics interfaces and efficient interface’s rules of project. These principles are based usability computer training courses.

Sign in / Sign up

Export Citation Format

Share Document