paper-with-me

Papers

A pretest-posttest pilot study for augmented reality-based physical-cognitive training in community-dwelling older adults at risk of mild cognitive impairment

2024-04-29 · Sirinun Chaipunko, Watthanaree Ammawat, Keerathi Oanmun, Wanvipha Hongnaphadol, Supatida Sorasak, Pattrawadee Makmee

As cognitive interventions for older adults evolve, modern technologies are increasingly integrated into their development. This study investigates the efficacy of augmented reality (AR)-based physical-cognitive training using an interactive game with Kinect motion sensor technology on older individuals at risk of mild cognitive impairment. Utilizing a pretest-posttest experimental design, twenty participants (mean age 66.8 SD. = 4.6 years, age range 60-78 years) underwent eighteen individual training sessions, lasting 45 to 60 minutes each, conducted three times a week over a span of 1.5 months. The training modules from five activities, encompassing episodic and working memory, attention and inhibition, cognitive flexibility, and speed processing, were integrated with physical movement and culturally relevant Thai-context activities. Results revealed significant improvements in inhibition, cognitive flexibility, accuracy, and reaction time, with working memory demonstrating enhancements in accuracy albeit not in reaction time. These findings underscore the potential of AR interventions to bolster basic executive enhancement among community-dwelling older adults at risk of cognitive decline.

📄 PDF Abstract BibTeX arXiv:2404.18970

Code (0)

등록된 구현이 없습니다.

Tasks

Experimental Design

Methods 이 논문이 사용한 방법론

SPEED The monocular depth estimation (MDE) is the task of estimating depth from a single frame. This information is an essential knowledge in many computer vision tasks such as scene…

Similar Papers 제목 키워드 기반

A Priori Determination of the Pretest Probability

2024-01-08 · Jacques Balayla

In this manuscript, we present various proposed methods estimate the prevalence of disease, a critical prerequisite for the adequate interpretation of screening tests. To address the limitations of these approaches, whic…

Enhancing nonnative speech perception and production through an AI-powered application

2025-03-18 · Georgios P. Georgiou

While research on using Artificial Intelligence (AI) through various applications to enhance foreign language pronunciation is expanding, it has primarily focused on aspects such as comprehensibility and intelligibility,…

Sentence

Predicting Student Performance in an Educational Game Using a Hidden Markov Model

2019-04-24 · Manie Tadayon, Greg Pottie

Contributions: Prior studies on education have mostly followed the model of the cross sectional study, namely, examining the pretest and the posttest scores. This paper shows that students' knowledge throughout the inter…

Time SeriesTime Series Analysis

Causal Inference in Educational Systems: A Graphical Modeling Approach

2021-08-02 · Manie Tadayon, Greg Pottie

Educational systems have traditionally been evaluated using cross-sectional studies, namely, examining a pretest, posttest, and single intervention. Although this is a popular approach, it does not model valuable informa…

Causal Inference

Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control

2019-09-13 · Jason M. Gregory, Christopher Reardon, Kevin Lee, Geoffrey White 외

Human-robot teaming offers great potential because of the opportunities to combine strengths of heterogeneous agents. However, one of the critical challenges in realizing an effective human-robot team is efficient inform…