A systematic literature review on requirement prioritization techniques and their empirical evaluation

2020 ◽  
Vol 69 ◽  
pp. 103389 ◽  
Author(s):  
Faiza Allah Bukhsh ◽  
Zaharah Allah Bukhsh ◽  
Maya Daneva
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Empirical Evaluation ◽  
Requirement Prioritization

scholarly journals Voice-based Conversational Agents for the Prevention and Management of Chronic and Mental Conditions: A Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
Caterina Bérubé ◽  
Theresa Schachner ◽  
Roman Keller ◽  
Elgar Fleisch ◽  
Florian v. Wangenheim ◽  
...  
Keyword(s):  
Literature Review ◽  
Technology Acceptance ◽  
Systematic Literature Review ◽  
State Of The Art ◽  
Data Extraction ◽  
Empirical Evaluation ◽  
Behavioral Measure ◽  
Conversational Agents ◽  
Natural Interaction ◽  
Quasi Experimental

BACKGROUND Chronic and mental conditions are increasingly prevalent worldwide. As devices in our everyday lives offer more and more voice-based self-service, voice-based conversational agents (VCAs) have the potential to support the prevention and management of these conditions in a scalable way. VCAs allow for a more natural interaction compared to text-based conversational agents, facilitate input for users who cannot type, allow for routine monitoring and support when in-person healthcare is not possible, and open the doors to voice and speech analysis. The state of the art of VCAs for chronic and mental conditions is, however, unclear. OBJECTIVE This systematic literature review aims to provide a better understanding of state-of-the-art research on VCAs delivering interventions for the prevention and management of chronic and mental conditions. METHODS We conducted a systematic literature review using PubMed Medline, EMBASE, PsycINFO, Scopus, and Web of Science databases. We included primary research that involved the prevention or management of chronic or mental conditions, where the voice was the primary interaction modality of the conversational agent, and where an empirical evaluation of the system in terms of system accuracy and/or in terms of technology acceptance was included. Two independent reviewers conducted screening and data extraction and measured their agreement with Cohen’s kappa. A narrative approach was applied to synthesize the selected records. RESULTS Twelve out of 7’170 articles met the inclusion criteria. The majority of the studies (N=10) were non-experimental, while the remainder (N=2) were quasi-experimental. The VCAs provided behavioral support (N=5), a health monitoring service (N=3), or both (N=4). The VCA services were delivered via smartphone (N=5), tablet (N=2), or smart speakers (N=3). In two cases, no device was specified. Three VCAs targeted cancer, while two VCAs each targeted diabetes and heart failure. The other VCAs targeted hearing-impairment, asthma, Parkinson's disease, dementia and autism, “intellectual disability”, and depression. The majority of the studies (N=7) assessed technology acceptance but only a minority (N=3) used validated instruments. Half of the studies (N=6) reported either performance measures on speech recognition or on the ability of VCA’s to respond to health-related queries. Only a minority of the studies (N=2) reported behavioral measure or a measure of attitudes towards intervention-related health behavior. Moreover, only a minority of studies (N=4) reported controlling for participant’s previous experience with technology. CONCLUSIONS Considering the heterogeneity of the methods and the limited number of studies identified, it seems that research on VCAs for chronic and mental conditions is still in its infancy. Although results in system accuracy and technology acceptance are encouraging, there still is a need to establish evidence on the efficacy of VCAs for the prevention and management of chronic and mental conditions, both in absolute terms and in comparison to standard healthcare.

scholarly journals A Systematic Literature Review of the Design Approach and Usability Evaluation of the Pain Management Mobile Applications

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 400 ◽  
Author(s):  
Umm Shah ◽  
Thiam Chiew
Keyword(s):  
Pain Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Empirical Evaluation ◽  
The Elderly ◽  
Design Approach ◽  
Self Management ◽  
Usability Assessment

The increasing popularity of mHealth is a promising opportunity for pain self-management. Mobile apps can be easily developed, but understanding the design and usability will result in apps that can retain more users. This research aims at identifying, analyzing, and synthesizing the current state-of-the-art of: (a) the design approach and (b) usability assessment of pain management mobile applications. A systematic literature review was conducted on 27 studies retrieved from Medline, PubMed, EMBASE, Web of Science, and Scopus. The review revealed that most of the apps were for chronic pain. No app was specifically for men or for the elderly. None of the studies involved expert-based system inspection methods. Only one study used two different approaches of automated and empirical evaluation. We mapped the identified usability issues to ISO 9241-11 and ISO/IEC 25010, and aggregated the recommendations for improvement. Moreover, we also identified certain issues that are solely concerned with the patient’s behavior. We organized the issues into taxonomies of design considerations for building usable pain self-management mobile applications. As pain is prevalent among the elderly, pain management will be much needed while moving toward an aging society. However, we found that the involvement of the elderly in the development of pain management mobile apps is very minimal, which may affect the utility and usability of the apps.

scholarly journals Voice-Based Conversational Agents for the Prevention and Management of Chronic and Mental Health Conditions: Systematic Literature Review

10.2196/25933 ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. e25933
Author(s):  
Caterina Bérubé ◽  
Theresa Schachner ◽  
Roman Keller ◽  
Elgar Fleisch ◽  
Florian v Wangenheim ◽  
...  
Keyword(s):  
Mental Health ◽  
Literature Review ◽  
Technology Acceptance ◽  
Systematic Literature Review ◽  
Data Extraction ◽  
Empirical Evaluation ◽  
Conclusive Evidence ◽  
Health Conditions ◽  
Conversational Agents ◽  
Mental Health Conditions

Background Chronic and mental health conditions are increasingly prevalent worldwide. As devices in our everyday lives offer more and more voice-based self-service, voice-based conversational agents (VCAs) have the potential to support the prevention and management of these conditions in a scalable manner. However, evidence on VCAs dedicated to the prevention and management of chronic and mental health conditions is unclear. Objective This study provides a better understanding of the current methods used in the evaluation of health interventions for the prevention and management of chronic and mental health conditions delivered through VCAs. Methods We conducted a systematic literature review using PubMed MEDLINE, Embase, PsycINFO, Scopus, and Web of Science databases. We included primary research involving the prevention or management of chronic or mental health conditions through a VCA and reporting an empirical evaluation of the system either in terms of system accuracy, technology acceptance, or both. A total of 2 independent reviewers conducted the screening and data extraction, and agreement between them was measured using Cohen kappa. A narrative approach was used to synthesize the selected records. Results Of 7170 prescreened papers, 12 met the inclusion criteria. All studies were nonexperimental. The VCAs provided behavioral support (n=5), health monitoring services (n=3), or both (n=4). The interventions were delivered via smartphones (n=5), tablets (n=2), or smart speakers (n=3). In 2 cases, no device was specified. A total of 3 VCAs targeted cancer, whereas 2 VCAs targeted diabetes and heart failure. The other VCAs targeted hearing impairment, asthma, Parkinson disease, dementia, autism, intellectual disability, and depression. The majority of the studies (n=7) assessed technology acceptance, but only few studies (n=3) used validated instruments. Half of the studies (n=6) reported either performance measures on speech recognition or on the ability of VCAs to respond to health-related queries. Only a minority of the studies (n=2) reported behavioral measures or a measure of attitudes toward intervention-targeted health behavior. Moreover, only a minority of studies (n=4) reported controlling for participants’ previous experience with technology. Finally, risk bias varied markedly. Conclusions The heterogeneity in the methods, the limited number of studies identified, and the high risk of bias show that research on VCAs for chronic and mental health conditions is still in its infancy. Although the results of system accuracy and technology acceptance are encouraging, there is still a need to establish more conclusive evidence on the efficacy of VCAs for the prevention and management of chronic and mental health conditions, both in absolute terms and in comparison with standard health care.

scholarly journals Systematic Literature Review of My Health Record System

2020 ◽  
Vol 15 (1) ◽  
pp. 14-25
Author(s):  
Rafael Carneiro de Mesquita ◽  
Ian Edwards
Keyword(s):  
Literature Review ◽  
Health Information ◽  
Healthcare System ◽  
Systematic Literature Review ◽  
Information Quality ◽  
Empirical Evaluation ◽  
Health Record ◽  
Record System ◽  
Meta Analyses ◽  
Adverse Medical Events

Background: On 2010 Australia launched a personally controlled electronic health record (PCEHR) later renamed and augmented by the My Health Record Act 2012 Cth. The main goal of the present systematic literature review was to assess if the system has improved Australia’s healthcare system according to the objectives stated by the federal government in the My Health Record Act 2012 Cth. Methods: This systematic literature review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Results: Despite the MyHR system being available for seven years, there is limited empirical evaluation regarding its progress in achieving the stated goals. The results were segregated in four themes: (1) health information fragmentation, (2) Health information quality and management, (3) adverse medical events and duplication of treatment and (4) coordination of care. Regarding theme 1, it was evidenced that the system could reduce health information fragmentation; however, gaps in the workforce adoption were identified as a problem. About topic 2, improved access to information and possible misinterpretation were found. Theme 3 lacked research and theme 4 presented contradiction in the results.  Conclusion: The My Health Record (MyHR) system is founded on four key objectives. However, there is insufficient evidence that any outcomes have been achieved relating to any of the objectives. Research is required to determine whether the MyHR system helped improve Australia’s healthcare system according to the objectives stated in the Act 2012.

Refactoring UML Models of Object-Oriented Software: A Systematic Review

2018 ◽  
Vol 28 (09) ◽  
pp. 1287-1319 ◽  
Author(s):  
Brahmaleen K. Sidhu ◽  
Kawaljeet Singh ◽  
Neeraj Sharma
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Empirical Evaluation ◽  
Object Oriented ◽  
Software Systems ◽  
Model Quality ◽  
Design Quality ◽  
Consistency Management ◽  
Model Refactoring ◽  
Independent Design

Model refactoring enhances the platform-independent design models of software aiming at smoother impact of requirement changes, thereby improving the design quality and assisting in their evolution and maintenance. This study reports a systematic literature review of refactoring techniques particularly in the domain of models of object-oriented software systems. The study used the standard systematic literature review method based on a comprehensive set of 58 articles from a total of 1200 articles published in leading journals, premier conferences, workshops and books. The primary studies were thoroughly analyzed on various aspects of model refactoring process. Identification of methodologies and classification on the basis of model transformation systems, refactoring operations and their application, model behavior specification and preservation, model quality expression, model consistency management and automation of process is reported. This study shows that inadequate model-based approaches for behavior preservation, synchronized model enhancement and empirical evaluation of the proposed refactoring techniques are major obstacles in fully automated model refactoring process.

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