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Empirical Evaluation of Metaverse Accessibility for People Who Use Alternative Input/Output Methods
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This research has analyzed the accessibility of the current metaverse platforms from the perspective of screen reader and switch scanning interface users, using the mixture of quantitative and qualitative assessments. To this end, the two representative metaverse platforms, ZEPETO and Roblox, were targeted. As a result, it was found that the current metaverse platforms…
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Analysis of the Accessibility of Metaverse Platforms from the Perspective of Screen Reader Users
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The purpose of this study is to analyze the accessibility of current metaverse platforms from the perspective of screen reader users, to provide empirical data and the inferences necessary for improved accessibility of the metaverse environment. To this end, the two most representative metaverse platforms, ZEPETO and Roblox, were assessed. As a result of…
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Tantan: AI-Empowered Web-Based Automatic Agricultural Carbon Footprint Accounting Platform
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Since 2014, the Korean Ministry of Agriculture, Food and Rural Affairs has implemented the Low-Carbon Agricultural Product Certification System to promote voluntary greenhouse gas (GHG) reduction in the agricultural sector. The certification process involves document review, on-site inspection, and post-management, and is intended to be internationally recognized as part of national statistics. However, as…
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Design of Deep Breathing Exercise Facilitation Technology as a Digital Cognitive Behavioral Therapeutic Intervention for Children with Attention Deficit Hyperactivity Disorder
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This study developed an ICT-integrated wearable deep breathing facilitation technology to address key challenges in implementing and managing deep breathing exercises—one of the most widely used cognitive behavioral therapy (CBT) techniques for children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD). These challenges include low adherence, difficulty in systematic administration, and lack of objective clinical…
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ATCam: Deep Neural Network-based Computer Vision Model of Detecting and Intervening Special Needs of Disabled People to Substantially Improve the Accessibility and Usability of Public Facilities
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We have developed an assistive technology, called ATCam(Assistive Technology Camera), which is based on deep neural network computer vision technology, to automatically detects and provides context-sensitive appropriate intervention to people with special needs in the context of using a variety of public facilities. The developed ATCam system consists of four inter-related modular components: sensing…
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Social Alarm: Personal Social Network-Empowered Shared Alarm Clock Method to Effectively Overcome Sleep Inertia
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The purpose of this study is to design and validate a new alarm clock method called ‘Social Alarm’. It promotes better wake-up experience, which extends the traditional passive self-struggling wake-up experience into a mutually beneficial activity by sharing an alarm clock with friends who are willing to go together. The effectiveness of this method…