Proceedings, MSVSCC 2016

Proceedings of the 10th Annual Modeling, Simulation & Visualization Student Capstone Conference held on April 14, 2016 at VMASC in Suffolk, Virginia

ICTERI 2020: ІКТ в освіті, дослідженнях та промислових застосуваннях. Інтеграція, гармонізація та передача знань 2020: Матеріали 16-ї Міжнародної конференції. Том II: Семінари. Харків, Україна, 06-10 жовтня 2020 р.

This volume represents the proceedings of the Workshops co-located with the 16th International Conference on ICT in Education, Research, and Industrial Applications, held in Kharkiv, Ukraine, in October 2020. It comprises 101 contributed papers that were carefully peer-reviewed and selected from 233 submissions for the five workshops: RMSEBT, TheRMIT, ITER, 3L-Person, CoSinE, MROL. The volume is structured in six parts, each presenting the contributions for a particular workshop. The topical scope of the volume is aligned with the thematic tracks of ICTERI 2020: (I) Advances in ICT Research; (II) Information Systems: Technology and Applications; (III) Academia/Industry ICT Cooperation; and (IV) ICT in Education.Цей збірник представляє матеріали семінарів, які були проведені в рамках 16-ї Міжнародної конференції з ІКТ в освіті, наукових дослідженнях та промислових застосуваннях, що відбулася в Харкові, Україна, у жовтні 2020 року. Він містить 101 доповідь, які були ретельно рецензовані та відібрані з 233 заявок на участь у п'яти воркшопах: RMSEBT, TheRMIT, ITER, 3L-Person, CoSinE, MROL. Збірник складається з шести частин, кожна з яких представляє матеріали для певного семінару. Тематична спрямованість збірника узгоджена з тематичними напрямками ICTERI 2020: (I) Досягнення в галузі досліджень ІКТ; (II) Інформаційні системи: Технології і застосування; (ІІІ) Співпраця в галузі ІКТ між академічними і промисловими колами; і (IV) ІКТ в освіті

Public perceptions and user experience study on the use and adoption of a mobile internet e-Voting smartphone app within the Australian context

The Doctor of Philosophy (Innovation) (PhD.I) is a project-based higher research degree in which professional and industrial expertise combine with academic theory in the identification and creation of innovation. This innovation portfolio project is the culmination of a five-year journey on the first Australian university study on public perceptions and user experiences of using mobile internet e- Voting in the Australian context. This innovation portfolio project has produced baseline data on the perceptions of the Australian public, a prototype mobile voting smartphone app (the innovation), which allows for secure registration, casting a vote in a federal election and submitting a response to a national survey, and a user experience study on the app and A/B tests of various features. Trust is a core foundation of user adoption and, as such, is the underlying theme of the portfolio. Guided by the technology acceptance model (TAM) (Davis, 1989), data collected from an anonymous survey on perceptions of the Australian public towards using a mobile internet e-Voting platform (N = 295) are presented and analysed. Of the respondents, 72.88% either Completely Trusted or Slightly Trusted government and commercial systems as opposed to 15.93% who either Completely Distrusted or Slightly Distrusted government and commercial systems. The survey also found that 75.25% of respondents were in favour of using mobile internet e-Voting, with 15.93% of respondents requiring greater information about the technology and 8.82% being against its utilisation. The top appeals of the platform were its mobility (91.40%), verifiability (72.90%) and Innovation Portfolio Project speed (72.50%), with the top concerns being manipulation (75.10%), retrieval (65.30%) and monitoring (63.20%) of cast votes by malicious parties or software. This portfolio also provides a chronologically documented development journey of the “mobile voting app” project. Utilising the Scrum methodology, this portfolio documents the beginning of the development project (envisioning session), the product backlog construction, sprint cycles, retrospectives and features details. Next, the mobile voting app is user tested by way of qualitative in-depth interviews to gather perceptions of five participants from a young and tech savvy cohort who are likely to be early adopters (Rogers, 2010). This user experience study found that participants were pleased with the usefulness and simplicity of the app. Most participants stated that they would use the mobile voting app if it were made available in the next election. These findings correlate with the constructs of the TAM (Davis, 1989), which state that perceived ease of use (PEOU) and perceived usefulness (PU) directly influence a user's attitude towards new technology (A). Those who would not use the app in the next election were either those who had not voted in an Australian election previously and stated they would like to vote using paper ballots first then would use it in the following election or were those who has reservations about the technology and its usefulness, primarily around government support. These findings correlate with the unified theory of acceptance and the use of technology model (UTAUT) by Venkatesh, Morris, Davis, and Davis (2003), which states that the degree to which an individual believes that an organisational and technical infrastructure exists to support use of the system (facilitating conditions), directly influences the use behaviour and the moderating variable of experience. This portfolio concludes with a personal reflection on the findings and process of the works undertaken, the anticipations for this research and potential pathways for further development and application. Commentary is also provided on public events that occurred during the time of the research that widely impacted on public perceptions of the technology, including the 2016 census debacle, the 2015 NSW iVote hacking report and the Russian interference in the 2016 US presidential elections

Intelligent technologies for the aging brain: opportunities and challenges

Intelligent computing is rapidly reshaping healthcare. In light of the global burden of population aging and neurological disorders, dementia and elderly care are among the healthcare sectors that are most likely to benefit from this technological revolution. Trends in artificial intelligence, robotics, ubiquitous computing, neurotechnology and other branches of biomedical engineering are progressively enabling novel opportunities for technology-enhanced care. These Intelligent Assistive Technologies (IATs) open the prospects of supporting older adults with neurocognitive disabilities, maintain their independence, reduce the burden on caregivers and delay the need for long-term care (1, 2). While technology develops fast, yet little knowledge is available to patients and health professionals about the current availability, applicability, and capability of existing IATs. This thesis proposes a state-of-the-art analysis of IATs in dementia and elderly care. Our findings indicate that advances in intelligent technology are resulting in a rapidly expanding number and variety of assistive solutions for older adults and people with neurocognitive disabilities. However, our analysis identifies a number of challenges that negatively affect the optimal deployment and uptake of IATs among target users and care institutions. These include design issues, sub-optimal approaches to product development, translational barriers between lab and clinics, lack of adequate validation and implementation, as well as data security and cyber-risk weaknesses. Additionally, in virtue of their technological novelty, intelligent technologies raise a number of Ethical, Legal and Social Implications (ELSI). Therefore, a significant portion of this thesis is devoted to providing an early ethical Technology Assessment (eTA) of intelligent technology, hence contributing to preparing the terrain for its safe and ethically responsible adoption. This assessment is primarily focused on intelligent technologies at the human-machine interface, as these applications enable an unprecedented exposure of the intimate dimension of individuals to the digital infosphere. Issues of privacy, integrity, equality, and dual-use were addressed at the level of stakeholder analysis, normative ethics and human-rights law. Finally, this thesis is aimed at providing evidence-based recommendations for guiding participatory and responsible development in intelligent technology, and delineating governance strategies that maximize the clinical benefits of IATs for the aging world, while minimizing unintended risks

Undergraduate and Graduate Course Descriptions, 2021 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2021

Validation of design artefacts for blockchain-enabled precision healthcare as a service.

Healthcare systems around the globe are currently experiencing a rapid wave of digital disruption. Current research in applying emerging technologies such as Big Data (BD), Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Augmented Reality (AR), Virtual Reality (VR), Digital Twin (DT), Wearable Sensor (WS), Blockchain (BC) and Smart Contracts (SC) in contact tracing, tracking, drug discovery, care support and delivery, vaccine distribution, management, and delivery. These disruptive innovations have made it feasible for the healthcare industry to provide personalised digital health solutions and services to the people and ensure sustainability in healthcare. Precision Healthcare (PHC) is a new inclusion in digital healthcare that can support personalised needs. It focuses on supporting and providing precise healthcare delivery. Despite such potential, recent studies show that PHC is ineffectual due to the lower patient adoption in the system. Anecdotal evidence shows that people are refraining from adopting PHC due to distrust. This thesis presents a BC-enabled PHC ecosystem that addresses ongoing issues and challenges regarding low opt-in. The designed ecosystem also incorporates emerging information technologies that are potential to address the need for user-centricity, data privacy and security, accountability, transparency, interoperability, and scalability for a sustainable PHC ecosystem. The research adopts Soft System Methodology (SSM) to construct and validate the design artefact and sub-artefacts of the proposed PHC ecosystem that addresses the low opt-in problem. Following a comprehensive view of the scholarly literature, which resulted in a draft set of design principles and rules, eighteen design refinement interviews were conducted to develop the artefact and sub-artefacts for design specifications. The artefact and sub-artefacts were validated through a design validation workshop, where the designed ecosystem was presented to a Delphi panel of twenty-two health industry actors. The key research finding was that there is a need for data-driven, secure, transparent, scalable, individualised healthcare services to achieve sustainability in healthcare. It includes explainable AI, data standards for biosensor devices, affordable BC solutions for storage, privacy and security policy, interoperability, and usercentricity, which prompts further research and industry application. The proposed ecosystem is potentially effective in growing trust, influencing patients in active engagement with real-world implementation, and contributing to sustainability in healthcare

Undergraduate and Graduate Course Descriptions, 2021 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2021

Undergraduate and Graduate Course Descriptions, 2018 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2018

Undergraduate and Graduate Course Descriptions, 2023 Spring

Wright State University undergraduate and graduate course descriptions from Spring 2023

Undergraduate and Graduate Course Descriptions, 2018 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2018