Combining Interactive Technology and Visual Cognition—A Case Study on Preventing Dementia in Older Adults

According to the World Health Organization, the global population is aging, with cognitive and memory functions declining from the age of 40–50. Individuals aged 65 and older are particularly prone to dementia. Therefore, we developed an interactive system for visual cognitive training to prevent de...

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Main Authors: Chung-Shun Feng, Chao-Ming Wang
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Engineering Proceedings
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Online Access:https://www.mdpi.com/2673-4591/89/1/16
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author Chung-Shun Feng
Chao-Ming Wang
author_facet Chung-Shun Feng
Chao-Ming Wang
author_sort Chung-Shun Feng
collection DOAJ
description According to the World Health Organization, the global population is aging, with cognitive and memory functions declining from the age of 40–50. Individuals aged 65 and older are particularly prone to dementia. Therefore, we developed an interactive system for visual cognitive training to prevent dementia and delay the onset of memory loss. The system comprises three “three-dimensional objects” with printed 2D barcodes and near-field communication (NFC) tags and operating software processing text, images, and multimedia content. Electroencephalography (EEG) data from a brainwave sensor were used to interpret brain signals. The system operates through interactive games combined with real-time feedback from EEG data to reduce the likelihood of dementia. The system provides feedback based on textual, visual, and multimedia information and offers a new form of entertainment. Thirty participants were invited to participate in a pre-test questionnaire survey. Different tasks were assigned to randomly selected participants with three-dimensional objects. Sensing technologies such as quick-response (QR) codes and near-field communication (NFC) were used to display information on smartphones. Visual content included text-image narratives and media playback. EEG was used for visual recognition and perception responses. The system was evaluated using the system usability scale (SUS). Finally, the data obtained from participants using the system were analyzed. The system improved hand-eye coordination and brain memory using interactive games. After receiving visual information, brain function was stimulated through brain stimulation and focused reading, which prevents dementia. This system could be introduced into the healthcare industry to accumulate long-term cognitive function data for the brain and personal health data to prevent the occurrence of dementia.
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spelling doaj-art-01ee45109e8b43ad81d73fb95a6d4f0d2025-08-20T02:24:30ZengMDPI AGEngineering Proceedings2673-45912025-02-018911610.3390/engproc2025089016Combining Interactive Technology and Visual Cognition—A Case Study on Preventing Dementia in Older AdultsChung-Shun Feng0Chao-Ming Wang1Graduate School of Design, National Yunlin University of Science and Technology, Yunlin 632, TaiwanDepartment of Digital Media Design, National Yunlin University of Science and Technology, Yunlin 632, TaiwanAccording to the World Health Organization, the global population is aging, with cognitive and memory functions declining from the age of 40–50. Individuals aged 65 and older are particularly prone to dementia. Therefore, we developed an interactive system for visual cognitive training to prevent dementia and delay the onset of memory loss. The system comprises three “three-dimensional objects” with printed 2D barcodes and near-field communication (NFC) tags and operating software processing text, images, and multimedia content. Electroencephalography (EEG) data from a brainwave sensor were used to interpret brain signals. The system operates through interactive games combined with real-time feedback from EEG data to reduce the likelihood of dementia. The system provides feedback based on textual, visual, and multimedia information and offers a new form of entertainment. Thirty participants were invited to participate in a pre-test questionnaire survey. Different tasks were assigned to randomly selected participants with three-dimensional objects. Sensing technologies such as quick-response (QR) codes and near-field communication (NFC) were used to display information on smartphones. Visual content included text-image narratives and media playback. EEG was used for visual recognition and perception responses. The system was evaluated using the system usability scale (SUS). Finally, the data obtained from participants using the system were analyzed. The system improved hand-eye coordination and brain memory using interactive games. After receiving visual information, brain function was stimulated through brain stimulation and focused reading, which prevents dementia. This system could be introduced into the healthcare industry to accumulate long-term cognitive function data for the brain and personal health data to prevent the occurrence of dementia.https://www.mdpi.com/2673-4591/89/1/16dementiainteractive technologyvisual cognitionexperiential design
spellingShingle Chung-Shun Feng
Chao-Ming Wang
Combining Interactive Technology and Visual Cognition—A Case Study on Preventing Dementia in Older Adults
Engineering Proceedings
dementia
interactive technology
visual cognition
experiential design
title Combining Interactive Technology and Visual Cognition—A Case Study on Preventing Dementia in Older Adults
title_full Combining Interactive Technology and Visual Cognition—A Case Study on Preventing Dementia in Older Adults
title_fullStr Combining Interactive Technology and Visual Cognition—A Case Study on Preventing Dementia in Older Adults
title_full_unstemmed Combining Interactive Technology and Visual Cognition—A Case Study on Preventing Dementia in Older Adults
title_short Combining Interactive Technology and Visual Cognition—A Case Study on Preventing Dementia in Older Adults
title_sort combining interactive technology and visual cognition a case study on preventing dementia in older adults
topic dementia
interactive technology
visual cognition
experiential design
url https://www.mdpi.com/2673-4591/89/1/16
work_keys_str_mv AT chungshunfeng combininginteractivetechnologyandvisualcognitionacasestudyonpreventingdementiainolderadults
AT chaomingwang combininginteractivetechnologyandvisualcognitionacasestudyonpreventingdementiainolderadults