User-Centered Design Process to Develop Motor Speech Disorder Treatment Assistive Tool

Author(s):  
Hsin-Chang Lo ◽  
Bo-Kai Peng ◽  
Chia-Chen Li
Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2804
Author(s):  
Silvia Imbesi ◽  
Sofia Scataglini

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.


2021 ◽  
Author(s):  
Jeonghwan Hwang ◽  
Taeheon Lee ◽  
Honggu Lee ◽  
Seonjeong Byun

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.


2017 ◽  
Vol 3 (1) ◽  
pp. 39-43 ◽  
Author(s):  
Ekaterina Ivanova ◽  
Michael Minge ◽  
Henning Schmidt ◽  
Manfred Thüring ◽  
Jörg Krüger

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.


2018 ◽  
Vol 129 (4) ◽  
pp. e9
Author(s):  
L. Brabenec ◽  
J. Mekyska ◽  
Z. Galáž ◽  
P. Klobušiakova ◽  
M. Koštálová ◽  
...  

Author(s):  
Elad Vashdi ◽  
◽  
Amit Avramov ◽  
Špela Falatov ◽  
Huang Yi-Chen ◽  
...  

Patterns of a phenomenon define the entity. If one understands the patterns of the maze, he can find his way there. Patterns of colors on a dress will hold its characters and soul. Understanding the expressive patterns of a developmental syndrome enables treating it with success. It is true for treating Childhood Apraxia of speech (CAS) as well. CAS as motor-speech disorder involves difficulties in sounds production for speech purposes. The difficulties can be demonstrated in patterns that would be specific to CAS. These patterns can distinguish one phenomenon from another. A retrospective research was conducted based on 277 entry level evaluations of children diagnosed with CAS or suspected of CAS who visited a private clinic between 2006 and 2013. The analysis included speech variables alongside background and environmental variables. This article is dealing with speech patterns of children with motor speech disorder. Among the patterns examined are vowels ladder, single syllable ladder, Blowing and SSP (single sound production), Oral motor and SSP, Consonant group ladder and Consonants Exploratory factor analysis. The findings demonstrated the relationship and order of vowels, consonants and single syllables among Hebrew speaking children diagnosed with motor speech disorder. The Consonants Exploratory factor analysis gave validity to the existence of unique consonant groups. Further discussion regarding every result and its implication is included. Understanding the unique patterns of consonants and vowels strength among children with CAS can help clinicians in the decision-making process and goals targeting.


Author(s):  
Jayde King ◽  
John Kleber ◽  
Ashlee Harris ◽  
Barbara Chaparro ◽  
Beth Blickensderfer

General Aviation flight operations have been negatively affected by the slow decreasing weather related accident rate for the last 20 years. Upon further investigation, research suggests, that poor preflight planning and a lack of aviation weather experience and knowledge may be contributing factors to the stagnant weather related accident rate. Our team developed a Preflight Weather Decision Support Tool (PWDST) to help novice pilots access, interpret, and apply weather information. We used a user-centered design process which involved an initial task analysis, low-fidelity prototyping, low-fidelity usability testing, user interviews and expert review. This study assessed and compared the perceived usability, difficulty, and the system assistance satisfaction of the PWDST. Participants (n=9) completed a usability study and a series of surveys during, as well as, after the completion of the preflight planning scenario. A series of Mann-Whitney U Tests were conducted to compare the difference between Private Pilot and Certified Flight Instructors (CFI) perceived usability, difficulty, and system assistance satisfaction ratings. Results indicated, there were no significant differences between group ratings. Overall, both groups reported above average usability, system assistance and low difficulty rating for the PWDST. Future research and possible implications are discussed.


Author(s):  
Marilou N. Jamis ◽  
Emeliza R. Yabut ◽  
Rosauro E. Manuel ◽  
Annaliza E. Catacutan-Bangit

Author(s):  
Justin Lai ◽  
Tomonori Honda ◽  
Maria C. Yang

AbstractUser-centered approaches to design can guide teams toward an understanding of users and aid teams in better posing design problems. This paper investigates the role of user-centered design approaches in design process and outcome within the context of design team projects. The value of interaction with users is examined at several stages throughout the design process. The influence of user-centered design on the performance of design teams is also explored. Results suggest that the quantity of interactions with users and time spent interacting with users alone is not linked with better design outcome, but that iterative evaluation of concepts by users may be of particular value to design prototypes. Suggestions are made based on the reflections from the authors after conducting this study.


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