Digital Human Modeling in the User-Centered Design Process

2011 ◽  
pp. 293-324 ◽  
Author(s):  
Stephen Summerskill ◽  
Russell Marshall
Keyword(s):  
Design Process ◽  
User Centered Design ◽  
Digital Human Modeling ◽  
Human Modeling ◽  
Digital Human ◽  
User Centered

Human Modeling & Simulation: A Primer for Practitioners

2000 ◽  
Vol 44 (38) ◽  
pp. 825-827 ◽  
Author(s):  
Scott A. Ziolek ◽  
Pieter C. Kruithof
Keyword(s):  
Modeling And Simulation ◽  
Word Processor ◽  
User Centered Design ◽  
Digital Human Modeling ◽  
Modeling Simulation ◽  
Human Modeling ◽  
Modeling Software ◽  
Digital Human ◽  
Selection Of ◽  
Human Modeling And Simulation

More and more, digital human modeling and simulation is being used in conjunction with CAD systems to address ergonomic issues early within the development and manufacturing process. However, purchasing a human modeling software package does not guarantee a user-centered design anymore than purchasing a word processor makes someone an author. This paper addresses some of the practical issues that confront human modeling and simulation users, including the collection of geometry, posturing the manikin, and selection of an analysis. For the purposes of discussion, human simulation will be divided into three broad areas: the environment, manikin selection, and analysis.

Digital Human Modeling in the Development of Assistive Technologies for Elderly Users

2015 ◽  
Vol 809-810 ◽  
pp. 835-840 ◽  
Author(s):  
Ana Maria Adina Şuteu Băncilă ◽  
Constantin Buzatu
Keyword(s):  
Design Process ◽  
Assistive Technologies ◽  
Comfort Level ◽  
Digital Human Modeling ◽  
Human Models ◽  
Human Modeling ◽  
Digital Human Models ◽  
Digital Human ◽  
Elderly Users ◽  
Walking Aid

As ergonomics has become an integral part of the design process, digital human modeling is a rapidly emerging area that links computer-aided engineering design, human factors engineering and applied ergonomics. This paper briefly presents some of the basic principles of user-centered design and their relationship to ergonomics, together with the application of digital human modeling (DHM) in the design process of an assistive walking aid for elderly users with low mobility, considering the assessment of risk and comfort of the system. The use of DHM in order to improve certain features of a system or product is not a new concept, various types of digital human models being used for over 35 years. Using the Human Builder module in CATIA V5 two human models are generated with the help of anthropometric data collected from a group of >65 years old participants living in assistive care centers. The models are further employed in testing the safety and comfort level of the walking aid currently used by the participants, resulting the need of immediate changes in the device.

scholarly journals A User Centered Methodology for the Design of Smart Apparel for Older Users

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2804
Author(s):  
Silvia Imbesi ◽  
Sofia Scataglini
Keyword(s):  
Design Process ◽  
Quality Function Deployment ◽  
Well Being ◽  
Comparison Method ◽  
User Centered Design ◽  
Smart Clothing ◽  
Older Users ◽  
Smart Garments ◽  
General Response ◽  
User Centered

Smart clothing plays a big role to foster innovation and to. boost health and well-being, improving the quality of the life of people, especially when addressed to niche users with particular needs related to their health. Designing smart apparel, in order to monitor physical and physiological functions in older users, is a crucial asset that user centered design is exploring, balancing needs expressed by the users with technological requirements related to the design process. In this paper, the authors describe a user centered methodology for the design of smart garments based on the evaluation of users’ acceptance of smart clothing. This comparison method can be considered as similar to a simplified version of the quality function deployment tool, and is used to evaluate the general response of each garment typology to different categories of requirements, determining the propensity of the older user to the utilization of the developed product. The suggested methodology aims at introducing in the design process a tool to evaluate and compare developed solutions, reducing complexity in design processes by providing a tool for the comparison of significant solutions, correlating quantitative and qualitative factors.

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 User-centered design of a patient’s work station for haptic robot-based telerehabilitation after stroke

2017 ◽  
Vol 3 (1) ◽  
pp. 39-43 ◽  
Author(s):  
Ekaterina Ivanova ◽  
Michael Minge ◽  
Henning Schmidt ◽  
Manfred Thüring ◽  
Jörg Krüger
Keyword(s):  
Hospital Discharge ◽  
Design Process ◽  
Neurological Rehabilitation ◽  
User Centered Design ◽  
Work Station ◽  
Rehabilitation Training ◽  
Robotic Therapy ◽  
Rehabilitation Hospitals ◽  
Early Phases ◽  
User Centered

Abstract:Robotic therapy devices have been an important part of clinical neurological rehabilitation for several years. Until now such devices are only available for patients receiving therapy inside rehabilitation hospitals. Since patients should continue rehabilitation training after hospital discharge at home, intelligent robotic rehab devices could help to achieve this goal. This paper presents therapeutic requirements and early phases of the user-centered design process of the patient’s work station as part of a novel robot-based system for motor telerehabilitation.

Exploring the Design Space Using a Surrogate Model Approach With Digital Human Modeling Simulations

2018 ◽  
Author(s):  
Salman Ahmed ◽  
Mihir Sunil Gawand ◽  
Lukman Irshad ◽  
H. Onan Demirel
Keyword(s):  
Human Factors ◽  
Surrogate Model ◽  
Human Performance ◽  
Design Method ◽  
Human Subjects ◽  
Design Stage ◽  
Digital Human Modeling ◽  
Design Variables ◽  
Human Modeling ◽  
Digital Human

Computational human factors tools are often not fully-integrated during the early phases of product design. Often, conventional ergonomic practices require physical prototypes and human subjects which are costly in terms of finances and time. Ergonomics evaluations executed on physical prototypes has the limitations of increasing the overall rework as more iterations are required to incorporate design changes related to human factors that are found later in the design stage, which affects the overall cost of product development. This paper proposes a design methodology based on Digital Human Modeling (DHM) approach to inform designers about the ergonomics adequacies of products during early stages of design process. This proactive ergonomics approach has the potential to allow designers to identify significant design variables that affect the human performance before full-scale prototypes are built. The design method utilizes a surrogate model that represents human product interaction. Optimizing the surrogate model provides design concepts to optimize human performance. The efficacy of the proposed design method is demonstrated by a cockpit design study.

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