{"title":"Dual-channel conduction modulated by digital literacy: examining technology shock awareness and informal digital learning through an AI-enabled human-computer interaction lens.","authors":"Hailong Sun, Xiaopeng Tang, Yunliang Jiang","doi":"10.1080/17483107.2025.2573221","DOIUrl":"https://doi.org/10.1080/17483107.2025.2573221","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to investigate how technology shock awareness influences college students' informal digital learning in the context of educational technology and AI-enabled human-computer interaction, with particular focus on the mediating roles of technology self-efficacy and online learning engagement, and the moderating effects of digital literacy and gender.</p><p><strong>Materials and methods: </strong>A survey was conducted with 631 valid responses from college students. A structural equation model (SEM) was constructed, supplemented by multi-group analyses, to examine the parallel mediation effects of technology self-efficacy and online learning engagement, as well as moderation by digital literacy and gender.</p><p><strong>Results: </strong>Technology self-efficacy and online learning engagement significantly enhance informal digital learning, fully mediating the effect of technology shock awareness; online learning engagement exhibits a stronger mediating effect. Digital literacy positively moderates the relationship between online engagement and informal digital learning. Gender moderates the mediating path <i>via</i> online learning engagement, with stronger effects observed in male students.</p><p><strong>Conclusion: </strong>By integrating AI-enhanced interaction tools, big data analytics, and digital literacy frameworks, this study addresses the gap in digital learning concerning negative perceptions of technology. The findings provide empirical guidance for universities and educational platforms to design assistive, personalised, and adaptive learning environments, leveraging AI and data-driven strategies to reduce technological anxiety and improve informal digital learning outcomes.</p>","PeriodicalId":47806,"journal":{"name":"Disability and Rehabilitation-Assistive Technology","volume":" ","pages":"1-17"},"PeriodicalIF":2.2,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145276405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wheelchair control system using infrared sensors and tongue movements.","authors":"Shahin Rouhi, Sahar Kiani","doi":"10.1080/17483107.2025.2572020","DOIUrl":"https://doi.org/10.1080/17483107.2025.2572020","url":null,"abstract":"<p><p>Creating wheelchair control systems for people with spinal cord injuries, especially quadriplegics, is crucial for their rehabilitation. Since the tongue is easy to control and highly flexible, it has proven to be an excellent tool for steering wheelchairs. This study presents a new method that doesn't rely on magnets like older systems but instead uses the tongue to turn three infra-red (IR) sensors on or off, working as switches. The design includes three pairs of IR transmitters and receivers placed across from each other inside a small 3D-printed construct. This construct is worn on the face, and when the user places their tongue into a specific slot, it blocks the IR beam between the transmitter and receiver. This action allows the user to move the wheelchair in three directions: forward, right and left. To validate the system's practical applicability, it was integrated with and successfully tested on a full-sized electric wheelchair, demonstrating its effectiveness in a real-world scenario. To further illustrate the control concept during development, a miniature wheelchair model was also built using laser-cut technology for trials in a controlled environment. The results from both testbeds showed that this system works reliably, offering a simple and non-invasive solution for people with severe mobility limitations.</p>","PeriodicalId":47806,"journal":{"name":"Disability and Rehabilitation-Assistive Technology","volume":" ","pages":"1-12"},"PeriodicalIF":2.2,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145276479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prevention and health care intervention of common injuries in long-distance running for college teachers.","authors":"Bhavya Kadiyala, Rajani Priya Nippatla, Subramanyam Boyapati, Chaitanya Vasamsetty, Sunil Kumar Alavilli, Thanjaivadivel M","doi":"10.1080/17483107.2025.2564371","DOIUrl":"https://doi.org/10.1080/17483107.2025.2564371","url":null,"abstract":"<p><strong>Background: </strong>Long-distance running is a widely practiced exercise among college faculty due to its significant benefits for maintaining physical health and overall well-being. However, frequent participation can lead to various injuries that negatively impact both health and professional performance, revealing limitations in existing injury prevention strategies.</p><p><strong>Objective: </strong>This study aims to develop an intelligent injury prevention and healthcare intervention model to minimize common long-distance running injuries among college teachers.</p><p><strong>Methods: </strong>A Machine Learning Prevention and Healthcare Intervention Method (ML-PHIM) was proposed. The model integrates a Wireless Sensor Network (WSN) for real-time physiological and gait data collection, Principal Component Analysis (PCA) for feature extraction, and a Support Vector Machine (SVM) for classifying injury types and severity levels. The system was implemented and tested in MATLAB using the Gait and Injury Monitoring Dataset.</p><p><strong>Results: </strong>Simulation results demonstrated that ML-PHIM achieved an injury classification accuracy of 94%, with 97% precision and 98% recall, outperforming conventional injury detection methods.</p><p><strong>Conclusion: </strong>The proposed ML-PHIM provides an effective and personalized solution for injury prevention and health management in long-distance running among college faculty. By reducing recovery time and enhancing physical well-being, this approach promotes healthier lifestyles and contributes to improved academic productivity.</p>","PeriodicalId":47806,"journal":{"name":"Disability and Rehabilitation-Assistive Technology","volume":" ","pages":"1-20"},"PeriodicalIF":2.2,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating the role of social support systems in enhancing the well-being of elderly individuals with disabilities.","authors":"Min Li","doi":"10.1080/17483107.2025.2568945","DOIUrl":"https://doi.org/10.1080/17483107.2025.2568945","url":null,"abstract":"<p><strong>Objective: </strong>The global rise in ageing populations has led to an increase in physical disabilities, challenging health, social care, and psychological support systems. In China, where the elderly population is the largest worldwide, these challenges are amplified by shifting family dynamics, urban migration, and insufficient community resources. As disability levels rise with age, supporting the psychological well-being of older adults becomes critical. While previous studies emphasise the positive effects of social support on elderly well-being, they often treat ageing and disability separately or focus narrowly on physical health. Little research has explored how different types of social support-subjective, objective, and utilisation-interact with internal coping mechanisms such as psychological resilience, particularly in culturally specific contexts like China.</p><p><strong>Methods: </strong>This study examines how these forms of social support affect the well-being of older adults with disabilities, highlighting the mediating role of resilience. A structured survey involving 300 participants aged 60 and above was conducted across urban and rural regions in China. Using linear regression and path analysis, results were analysed.</p><p><strong>Results: </strong>Results show that all three types of support significantly enhance well-being. Psychological resilience was identified as a partial mediator, with subjective support being the most influential factor.</p><p><strong>Conclusion: </strong>These findings underscore the importance of integrating both external and internal resources in eldercare strategies. The study offers valuable evidence for developing inclusive policies that promote emotional health and resilience among China's ageing population, addressing both their physical limitations and psychological needs.</p>","PeriodicalId":47806,"journal":{"name":"Disability and Rehabilitation-Assistive Technology","volume":" ","pages":"1-21"},"PeriodicalIF":2.2,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of toilet seat height and inclination on sit-to-stand motion for subjects with limited trunk mobility.","authors":"Munehito Kamakura, Sumiko Yamamoto","doi":"10.1080/17483107.2025.2567489","DOIUrl":"https://doi.org/10.1080/17483107.2025.2567489","url":null,"abstract":"<p><p>This study aims to clarify the toilet seat height and inclination conditions that promote sit-to-stand motion for users with simulated kyphosis and reduced trunk mobility. The study was performed on healthy subjects with spinal orthosis to simulate a kyphotic posture and reduced trunk mobility (simulated kyphosis) in which the toilet seat was either not adjusted (\"standard setting\"), supplemented by 3 cm or 5 cm (\"3 cm higher\" or \"5 cm higher\"), or tilted forward by 5° or 15° (\"5° tilt\" or \"15° tilt\"). Subjective evaluation using sensory evaluation and objective evaluation using floor reaction force meter, three-dimensional motion capture, and electromyography were used for comparison. As a result, \"5° tilt\" and \"15° tilt\" were rated higher than the \"standard setting\" in the sensory evaluation of the sit-to-stand performance. This is attributed to the plantar load in the seated posture being higher in the two settings with the toilet seat tilted forward than that in the other settings. By contrast, the plantar load in the seated posture was lower in the setting with a raised toilet seat than that in the other settings. The plantar load in the seated posture was positively correlated with the height of the subjects. This study determines that under conditions of simulated kyphosis and reduced trunk mobility, tilting the seat forward increases the plantar load in a seated posture than \"standard setting\" and \"higher settings\", improving sit-to-stand performance of the user.</p>","PeriodicalId":47806,"journal":{"name":"Disability and Rehabilitation-Assistive Technology","volume":" ","pages":"1-14"},"PeriodicalIF":2.2,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145245581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jun Liu, Liping Liu, Yuhua Wu, Zhe Wang, Xiaofeng Li
{"title":"MRI feature engineering and SVM framework for schizophrenia recognition.","authors":"Jun Liu, Liping Liu, Yuhua Wu, Zhe Wang, Xiaofeng Li","doi":"10.1080/17483107.2025.2569801","DOIUrl":"https://doi.org/10.1080/17483107.2025.2569801","url":null,"abstract":"<p><p><b>Purpose</b>: Early diagnosis of schizophrenia plays a crucial role in improving patients' prognosis and effectively reducing the social burden. However, traditional diagnosis methods mainly rely on the subjectivity of clinical evaluation and lack objective quantitative basis, which poses significant challenges to the early recognition of schizophrenia. In recent years, although machine learning methods based on neuroimaging have made certain progress, when dealing with high dimensional, small sample MRI data, there are still problems such as low automation of feature extraction and insufficient model generalisation ability.</p><p><p><b>Methods</b>: To address these issues, we propose MRI feature engineering and support vector machines (SVM) framework for schizophrenia recognition. First, the framework reduces the structural differences between individuals through preprocessing operations such as skull stripping and data registration. Second, it extracts macroscopic statistical features and optimises the feature set by screening key region-of-interest features using feature masking technology. Finally, it uses the SVM to analyse the discriminative patterns of features to complete the recognition.</p><p><p><b>Results</b>: On the COBRE dataset, this paper uses five-fold cross-validation to comprehensively evaluate the model performance. The experimental results show that the average classification accuracy of this method reaches 95.00%. Meanwhile, it significantly outperforms six mainstream machine learning algorithms in multiple metrics.</p><p><p><b>Conclusions</b>: This paper provides an objective and innovative approach for the auxiliary diagnosis of schizophrenia and offers strong support for its early intervention practices.</p>","PeriodicalId":47806,"journal":{"name":"Disability and Rehabilitation-Assistive Technology","volume":" ","pages":"1-25"},"PeriodicalIF":2.2,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Acceptability of a physical activity program using a digital tool in the management of endometriosis.","authors":"Tivizio Pavic, Florence Terrade, Geneviève Cabagno","doi":"10.1080/17483107.2025.2569791","DOIUrl":"https://doi.org/10.1080/17483107.2025.2569791","url":null,"abstract":"<p><strong>Purpose: </strong>Endometriosis is a common condition affecting around 10% of women of childbearing age worldwide. Currently, adapted physical activities (APA) are increasingly used in the context of chronic diseases, often in conjunction with digital devices to help overcome some of the barriers to regular practice. However, it is essential to examine the technological acceptability to optimise the future use of these devices. The main aim of this study is to analyse the intention of women with endometriosis to use digital tools offering physical activities and to identify the factors most likely to predict this intention.</p><p><strong>Materials and methods: </strong>Participants completed an online survey, which included socio-demographic and medical questions, as well as subscales derived from the HITAM model on intention to use digital tools. The data were analysed using univariate and multivariate logistic regressions.</p><p><strong>Results and conclusion: </strong>A total of 313 women (Mean age = 34.4; SD = 8.69) met the inclusion and exclusion criteria. The statistical analyses showed that the intention to use a digital APA program was fairly high, with a preference for technologies that offer a high degree of freedom in practice. Analyses of the theoretical model showed in particular the importance of a favourable social discourse. The final model (perceived threat, norms, perceived ease of use, perceived usefulness, and age) explained 57.74% of the variance in intention. Findings should be interpreted with caution due to the self-selected online sample and the high dropout rate (899 incomplete responses).</p>","PeriodicalId":47806,"journal":{"name":"Disability and Rehabilitation-Assistive Technology","volume":" ","pages":"1-13"},"PeriodicalIF":2.2,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Disability-oriented data protection in AI-enabled assistive technologies: bridging gaps in China's legal framework.","authors":"Zhaodi Yu, Zhenxiang Xu, Jiangang Qi","doi":"10.1080/17483107.2025.2568940","DOIUrl":"https://doi.org/10.1080/17483107.2025.2568940","url":null,"abstract":"<p><strong>Background: </strong>Artificial Intelligence-enabled Assistive Technologies (AI-enabled ATs) enhance independence and inclusion for persons with disabilities (PWD) but rely on sensitive personal data, raising significant privacy concerns. In China, existing laws provide a multi-tiered framework for data protection; however, they remain too general to address the unique vulnerabilities of disability-related data.</p><p><strong>Materials and methods: </strong>Using normative and comparative legal analysis, this study examines China's personal information protection legal framework alongside international regimes such as the GDPR and Australia's Privacy Act to reveal structural deficiencies and draw lessons from global practice.</p><p><strong>Results: </strong>The study demonstrates that data generated by AI-enabled ATs should be classified as sensitive personal information requiring stricter safeguards. Current regulations face legitimacy challenges, including weakened informed consent mechanisms and effectiveness gaps, as general norms fail to capture the heightened risks for PWD. To address these gaps, the study introduces stakeholder theory and develops an adapted Pyramid Model of the Social Licence to Operate (SLO), tailored to disability contexts. By aligning legitimacy, credibility, and trust as progressive boundaries, the model integrates compliance with participatory governance, ensuring that PWD move from passive data subjects to active co-governors.</p><p><strong>Conclusion: </strong>The study highlights the importance of disability-oriented approaches within the personal information protection framework. By integrating stakeholder perspectives and participatory governance, the proposed framework contributes to safeguarding the rights of PWD while fostering responsible technological innovation. These insights carry implications for refining China's regulatory system and informing comparative debates on inclusive data governance in the digital era.</p>","PeriodicalId":47806,"journal":{"name":"Disability and Rehabilitation-Assistive Technology","volume":" ","pages":"1-25"},"PeriodicalIF":2.2,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145233900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Systematic analysis of cutting-edge technology for the wellbeing and safety of older persons.","authors":"Ahmed Elsheikh, Achraf Othman, Dena Al-Thani","doi":"10.1080/17483107.2025.2559185","DOIUrl":"https://doi.org/10.1080/17483107.2025.2559185","url":null,"abstract":"<p><p>With global populations aging at an unprecedented pace, health and social care systems face mounting challenges in supporting older adults to live safely and independently. A wide range of assistive and digital technologies has emerged to enhance well-being, autonomy, and safety in later life. This systematic review explores the current landscape of such technologies, critically assessing their reported benefits, usability and implementation barriers. A structured search was conducted across six major databases for peer-reviewed studies published between January 2015 and May 2025. The review followed PRISMA 2020 guidelines, and methodological quality was assessed using the Mixed Methods Appraisal Tool (MMAT) (2018), augmented with technology-specific criteria. Of the 1838 records screened, 69 studies met the inclusion criteria. These studies evaluated interventions such as smart home systems, wearable health monitors, socially assistive robots and artificial intelligence (AI)-driven behaviour recognition tools. Reported outcomes included improved fall prevention, more rapid emergency response, increased engagement in daily activities and enhanced emotional well-being. Despite these promising results, many studies reported persistent challenges related to usability, affordability, data privacy and the mismatch between design and user needs. Only 17.4% of the studies included achieved high methodological quality. The findings highlight a need for more robust, user-centred research and the development of implementation models that account for the diversity of older adults' needs. This review provides actionable insights for researchers, clinicians and developers aiming to design effective, equitable, and scalable technological interventions in rehabilitation and aging.</p>","PeriodicalId":47806,"journal":{"name":"Disability and Rehabilitation-Assistive Technology","volume":" ","pages":"1-27"},"PeriodicalIF":2.2,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Minju Lee, Michael Yeomans, Eve Lansford, Hung Jen Kuo
{"title":"Benefits, barriers, and accessibility in video games: a focus group study of college students with disabilities.","authors":"Minju Lee, Michael Yeomans, Eve Lansford, Hung Jen Kuo","doi":"10.1080/17483107.2025.2568171","DOIUrl":"https://doi.org/10.1080/17483107.2025.2568171","url":null,"abstract":"<p><strong>Purpose: </strong>This study explores the barriers, including psychological and emotional challenges, faced by college students with disabilities while engaging in video gaming. It also investigates the benefits of gaming, utilising Self-Determination Theory (SDT) to understand motivations and experiences. Furthermore, it provides insights into future development and accessibility measures to promote inclusive gaming environments.</p><p><strong>Materials and methods: </strong>Guided by SDT, we designed the semi-structured interview guide and conducted a hybrid deductive-inductive reflexive thematic analysis that interpreted themes in terms of autonomy, competence, and relatedness.</p><p><strong>Results: </strong>Three primary themes emerged: (a) Benefits, including social connection, stress relief, and skill development; (b) Barriers, such as physical, cognitive, and financial challenges, and limited accessibility in game design; and (c) Accessibility, emphasising customisable controls, adaptive features, and inclusive designs. Participants highlighted the positive role of gaming in fostering psychosocial well-being and managing symptoms of their disabilities.</p><p><strong>Conclusion: </strong>This study provides insights into the intersection of gaming and disability, advocating for inclusive game design to enhance autonomy, competence, and relatedness. Findings demonstrate the potential of accessible gaming to promote empowerment, social inclusion, and mental health. Aligned with the goals of rehabilitation and assistive technology, this research offers actionable recommendations for reducing barriers and fostering innovation in game development to support individuals with disabilities.</p>","PeriodicalId":47806,"journal":{"name":"Disability and Rehabilitation-Assistive Technology","volume":" ","pages":"1-16"},"PeriodicalIF":2.2,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}