A5078067583- Mobile Health and mHealth Applications
- Explainable Artificial Intelligence (XAI)
- Usability and User Interface Design
- Assistive Technology in Communication and Mobility
- Innovative Human-Technology Interaction
- Ethics and Social Impacts of AI
- Insurance and Financial Risk Management
- Impact of Technology on Adolescents
- Artificial Intelligence in Healthcare and Education
- Digital Accessibility for Disabilities
- Software Engineering Techniques and Practices
- Software Engineering Research
- Open Source Software Innovations
- Behavioral Health and Interventions
- User Authentication and Security Systems
- Business Process Modeling and Analysis
- Obesity, Physical Activity, Diet
- Simulation and Modeling Applications
- Service-Oriented Architecture and Web Services
- ERP Systems Implementation and Impact
- Multiple Sclerosis Research Studies
- Tactile and Sensory Interactions
- Interactive and Immersive Displays
- Technology Use by Older Adults
- Advanced Malware Detection Techniques
Bournemouth University
2015-2024
Dalian University
2009-2024
Hainan Normal University
2024
Qingdao Agricultural University
2024
Dalian University of Technology
2024
George Washington University
2024
Westlake University
2024
Tsinghua University
2022
National University of Singapore
2022
Tibet Academy of Agricultural and Animal Husbandry Sciences
2021
Machine learning has made rapid advances in safety-critical applications, such as traffic control, finance, and healthcare. With the criticality of decisions they support potential consequences following their recommendations, it also became critical to provide users with explanations interpret machine models general, black-box particular. However, despite agreement on explainability a necessity, there is little evidence how recent eXplainable Artificial Intelligence literature (XAI) can be...
This review discusses several research studies that employed comet assay to evaluate the environmental impact of genotoxins in aquatic environments. It focuses on vivo and situ animals. New chemicals are being added each year existing burden toxic substances environment. Excessive agricultural industrial activities adversely affect biodiversity, threatening survival species a particular habitat, as well posing disease risks humans. Some chemicals, e.g., pesticides heavy metals, may be...
This study aims to fill the gaps in measuring foreign language reading enjoyment by developing an English scale for Chinese university students. Scherer's [(2000). 'Emotions as Episodes of Subsystem Synchronization Driven Nonlinear Appraisal Processes.' In Emotion, Development, and Self-Organization: Dynamic Systems Approaches Emotional edited M. D. Lewis, I. Granic, 70–99. Cambridge: Cambridge University Press] component process model emotion was consulted a sequential mixed-methods...
Abstract Veterinary anatomy plays a crucial role in the curriculum for veterinary medicine and surgery. The integration of modern information technology education can greatly benefit from innovative tools such as augmented reality (AR) applications. aim this study was to develop an accurate interactive three‐dimensional (3D) digital model animal skull using AR technology, aiming enhance learning education. In study, canine specimen isolated, bones were scanned structured light scanner create...
Today, social media play an important role in people’s daily lives. Many people use to satisfy their personal and needs, such as enhancing self-image, acquiring self-esteem, gaining popularity. However, when are used obsessively excessively, behavioural addiction symptoms can occur, leading negative impacts on one’s life, which is defined a problematic attachment media. Research suggests that tools be provided assist the change of behaviour, but it remains unclear how should designed...
Abstract Human-AI collaborative decision-making tools are being increasingly applied in critical domains such as healthcare. However, these often seen closed and intransparent for human decision-makers. An essential requirement their success is the ability to provide explanations about themselves that understandable meaningful users. While generally have positive connotations, studies showed assumption behind users interacting engaging with could introduce trust calibration errors...
Recent advancements in machine learning have spurred an increased integration of AI critical sectors such as healthcare and criminal justice. The ethical legal concerns surrounding fully autonomous highlight the importance combining human oversight with to elevate decision-making quality. However, trust calibration errors human-AI collaboration, encompassing instances over-trust or under-trust recommendations, pose challenges overall performance. Addressing design process is essential,...
Background Social media addiction disorder has recently become a major concern and been reported to have negative impacts on postgraduate studies, particularly Facebook. Although previous studies investigated the effects of Facebook in learning settings, there still lack investigating relationship between online intervention features for focusing studies. Objective In an attempt understand this relationship, study aimed carry out investigation effective management higher education. Methods...
The increased adoption of collaborative human-artificial intelligence decision-making tools triggered a need to explain recommendations for safe and effective collaboration. We explore how users interact with explanations why trust-calibration errors occur, taking clinical decision-support systems as case study.
Crowdsourcing is an emerging online paradigm for problem solving which involves a large number of people often recruited on voluntary basis and given, as reward, some tangible or intangible incentives. It harnesses the power crowd minimizing costs and, also, to solve problems inherently require large, decentralized diverse crowd. In this paper, we advocate potential crowdsourcing software evaluation. This especially true in case complex highly variable systems, work diverse, even...
User feedback is crucial to improve software quality. For example, it can be used identify missing features and clarify user trends preferences for future improvement. However, obtaining not a 'one-off' process which requires that developers need gather in an on-going approach. The problem lies here: the majority of users are generally lack motivation interest providing feedback, especially constant frequent style. Moreover, studies have noted cultural difference also plays key role designs...
Explainability has become an essential requirement for safe and effective collaborative Human-AI environments., especially when generating recommendations through black-box modality. One goal of eXplainable AI (XAI) is to help humans calibrate their trust while working with intelligent systems., i.e., avoid situations where human decision-makers over-trust the it incorrect., or under-trust correct. XAI., in this context., aims understand reasoning decide whether follow reject its...
In this paper we present the design and evaluation of a mobile user friendly CAPTCHA (Completely Automated Public Turing test to tell Computers Humans Apart) scheme based on our previous work. Unlike commonly used character recognition schemes that require type distorted characters shown in an image pass security checks, allows use gestures operate specific objects screen so as complete quiz. Moreover, it uses partially processed or textual instruction prevent bot from easily figuring out...
Increasing pressure from governments, public health bodies, and consumers is driving a need for increased food-based information provision in eating-out situations. Meals eaten outside the home are known to be less healthy than meals at home, can complain of poor on impact allergen content out.This paper aimed describe development early assessment mobile phone app that allows accurate personalized while considering individual characteristics (allergies, diet type, preferences) enable...
Fruit and vegetable consumption is important for health, but many individuals fail to consume adequate amounts health benefits. Although are aware of current fruit recommendations, research suggests that adherence these hampered by low knowledge the details recommendations.
Fatigue is one of the most common and debilitating symptoms multiple sclerosis (MS) main reason why people with MS stop working early. The Society in United Kingdom funded a randomized controlled trial FACETS-a face-to-face group-based fatigue management program for (pwMS)-developed by members research team. Given favorable results to help implementation, supported design printing FACETS manual materials national delivery training courses (designed team) health care professionals (HCPs). By...
Background In many parts of the world, men who have sex with and transgender individuals face criminalization discrimination. As a result, they are less likely to seek medical help, despite experiencing higher rates HIV/AIDS, mental health issues, other problems. Reaching key populations (KPs) essential testing, care, treatment services can be challenging, as often likelihood contracting spreading virus. They limited access antiretroviral (ARV) therapy (ART) services, which means that KPs...
This study aimed to develop and validate computerized neuropsychological assessment devices for screening patients with mild cognitive impairment (MCI). We conducted this in three phases. Phase I involved the development of a conceptual framework Memory Guard (MG) based on principles design system (CDS). II steps feature engineering: item development, filter, wrapper. Based initial items, number items each dimension was determined through analytic hierarchy process. constructed an set total...