scholarly journals Use-Cases and Personas: A Case Study in Light-Weight User Interaction Design for Small Development Projects

10.28945/505 ◽  
2004 ◽  
Vol 7 ◽  
pp. 0105-116 ◽  
Author(s):  
Gary Randolph
Keyword(s):  
Interaction Design ◽  
User Interaction ◽  
Use Cases ◽  
Development Projects ◽  
Light Weight

scholarly journals Use cases and usability challenges for head-mounted displays in healthcare

2015 ◽  
Vol 1 (1) ◽  
pp. 534-537 ◽  
Author(s):  
T. Mentler ◽  
C. Wolters ◽  
M. Herczeg
Keyword(s):  
Augmented Reality ◽  
Emergency Medical Services ◽  
Information Visualization ◽  
Nursing Staff ◽  
Interaction Design ◽  
Use Cases ◽  
Design Approach ◽  
User Centered Design ◽  
Head Mounted Displays ◽  
Mobile Context

AbstractIn the healthcare domain, head-mounted displays (HMDs) with augmented reality (AR) modalities have been reconsidered for application as a result of commercially available products and the needs for using computers in mobile context. Within a user-centered design approach, interviews were conducted with physicians, nursing staff and members of emergency medical services. Additionally practitioners were involved in evaluating two different head-mounted displays. Based on these measures, use cases and usability considerations according to interaction design and information visualization were derived and are described in this contribution.

Assets-based approaches to developing age friendly communities: learning from the bristol ageing better programme

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amy Beardmore ◽  
Penny Beynon ◽  
Christine Crabbe ◽  
Carol Fry ◽  
Jan Fullforth ◽  
...  
Keyword(s):  
Community Development ◽  
Older People ◽  
Production Method ◽  
Project Delivery ◽  
Development Projects ◽  
Practical Application ◽  
Content Type ◽  
Diverse Groups ◽  
Practical Implications

Purpose International attention is increasingly turning to the challenge of creating age-friendly environments. This study aims to examine the application of asset-based approaches in undertaking community development projects with older people. The paper intends to share the learning that may be useful when designing community development projects for older people in the future. Design/methodology/approach This study followed a multiple project case study design, with a focus on project delivery practices. It was undertaken as a co-production exercise involving university researchers and trained older volunteer community researchers (CRs). Over 18–24 months of qualitative research was conducted in relation to six area-based urban projects between 2018 and 2020. Findings There were five leading themes as follows: mapping and building on assets in highly localised settings; creating governance and direction through steering groups; developing activities with diverse groups of older people; reaching isolated and lonely older people; building local capacity to embed sustainability. Practical implications The effectiveness of assets-based approaches in promoting age-friendly agendas appears to be contingent on the values, skills, capacity and resourcing of delivery agencies, alongside wider public sector investment in communities. Diversity and inequalities amongst older people need to be taken into account and community development that specifically focuses on older people needs to be balanced with the whole population and intergenerational practice. Originality/value This paper provides an empirical account of the practical application of assets practices specifically in the context of the age-friendly community agenda. The co-production method brings together insights from academic and volunteer older CRs.

scholarly journals Machine Learning Improves the Precision and Robustness of High-Content Screens

2011 ◽  
Vol 16 (9) ◽  
pp. 1059-1067 ◽  
Author(s):  
Peter Horvath ◽  
Thomas Wild ◽  
Ulrike Kutay ◽  
Gabor Csucs
Keyword(s):  
Machine Learning ◽  
User Interaction ◽  
Texture Features ◽  
Large Data ◽  
Complete Analysis ◽  
Data Sets ◽  
Reporter Protein ◽  
Fluorescent Intensity ◽  
Analysis Workflow

Imaging-based high-content screens often rely on single cell-based evaluation of phenotypes in large data sets of microscopic images. Traditionally, these screens are analyzed by extracting a few image-related parameters and use their ratios (linear single or multiparametric separation) to classify the cells into various phenotypic classes. In this study, the authors show how machine learning–based classification of individual cells outperforms those classical ratio-based techniques. Using fluorescent intensity and morphological and texture features, they evaluated how the performance of data analysis increases with increasing feature numbers. Their findings are based on a case study involving an siRNA screen monitoring nucleoplasmic and nucleolar accumulation of a fluorescently tagged reporter protein. For the analysis, they developed a complete analysis workflow incorporating image segmentation, feature extraction, cell classification, hit detection, and visualization of the results. For the classification task, the authors have established a new graphical framework, the Advanced Cell Classifier, which provides a very accurate high-content screen analysis with minimal user interaction, offering access to a variety of advanced machine learning methods.

scholarly journals Development of an Innovative Real-World Evidence Registry for the Herpes Simplex Virus: Case Study

10.2196/16933 ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. e16933 ◽  
Author(s):  
Michelle Helena van Velthoven ◽  
Ching Lam ◽  
Caroline de Cock ◽  
Terese Stenfors ◽  
Hassan Chaudhury ◽  
...  
Keyword(s):  
Herpes Simplex Virus ◽  
Herpes Simplex ◽  
Real World ◽  
Physical Symptoms ◽  
Use Cases ◽  
Real World Data ◽  
World Data ◽  
Real World Evidence ◽  
Simplex Virus

Background Infection with the herpes simplex virus (HSV) is common but not well understood. Furthermore, there remains a social stigma surrounding HSV that can have psychosocial implications for those infected. Despite many patients infected with HSV experiencing mild-to-severe physical symptoms, only one subeffective treatment is available. A registry collecting real-world data reported by individuals potentially infected with HSV could help patients to better understand and manage their condition. Objective This study aimed to report on the development of a registry to collect real-world data reported by people who might be infected with HSV. Methods A case study design was selected as it provides a systematic and in-depth approach to investigating the planning phase of the registry. The case study followed seven stages: plan, design, prepare, collect, analyze, create, and share. We carried out semistructured interviews with experts, which were thematically analyzed and used to build use cases for the proposed registry. These use cases will be used to generate detailed models of how a real-world evidence registry might be perceived and used by different users. Results The following key themes were identified in the interviews: (1) stigma and anonymity, (2) selection bias, (3) understanding treatment and outcome gaps, (4) lifestyle factors, (5) individualized versus population-level data, and (6) severe complications of HSV. We developed use cases for different types of users of the registry, including individuals with HSV, members of the public, researchers, and clinicians. Conclusions This case study revealed key considerations and insights for the development of an appropriate registry to collect real-world data reported by people who might be infected with HSV. Further development and testing of the registry with different users is required. The registry must also be evaluated for the feasibility and effectiveness of collecting data to support symptom management. This registry has the potential to contribute to the development of vaccines and treatments and provide insights into the impact of HSV on other conditions.

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