Abstract Background Virtual reality (VR) is not commonly used in clinical rehabilitation, and commercial VR gaming systems may have mixed effects patients with stroke. Therefore, we developed RehabMaster™, a task-specific interactive game-based system for post-stroke rehabilitation of the upper extremities, assessed its usability efficacy. Methods A participatory design tests were carried out development RehabMaster representative user groups. Two trials then performed. The first was an...

This paper proposes a conceptual framework for mobile learning applications that provides systematic support experience design. It is based on combination of game metaphor and several studies contexts. Accounts four projects are used to explore the relationship between design requirements in practice. By applying previous successful implementations, we better able understand their key qualities. Similarly, forward engineering future systems.

This paper proposes a conceptual framework for mobile learning applications that provides systematic support experience design. It is based on combination of game metaphor and several studies contexts. An account the Ambient Wood project used to explore relationship between design requirements in practice.

The concept of "Design Thinking" opens up debate regarding the prevalent human–computer interaction design practice. This article focuses specifically on cognitive processes designers during their early activities. Two groups designers—experts and novices—were asked to develop a fictitious vacuum cleaner. We then examined different ways in which these manage thinking how choose concepts. empirical study revealed that expert are effective at framing problems. They make quick decisions...

Early detection of mild cognitive impairment (MCI), a transitional stage between normal aging and Alzheimer disease, is crucial for preventing the progression dementia. Virtual reality (VR) biomarkers have proven to be effective in capturing behaviors associated with subtle deficits instrumental activities daily living, such as challenges using food-ordering kiosk, early MCI. On other hand, magnetic resonance imaging (MRI) demonstrated their efficacy quantifying observable structural brain...

A key design goal of mobile learning is that its built-in experiences are enjoyable and proactive, empowering the learner with knowledge ability to self-manage. This implies benefits critical success factors activities should not simply be based only on performance, but also learners' so we can assess added qualities these over above rote acquisition. To empirically demonstrate this premise, report an assessment flow experience in three different spaces, where learners explore a built...

Questionnaires or computer-based tests for assessing activities of daily living are well-known approaches to screen mild cognitive impairment (MCI). However, questionnaires subjective and computerized only collect simple performance data with conventional input devices such as a mouse keyboard. This study explored the validity discriminative power virtual test new diagnostic approach assess MCI. Twenty-two healthy controls 20 patients MCI were recruited. The presents two complex tasks in an...

Abstract Background Artificial intelligence is being used for rehabilitation, including monitoring exercise compliance through sensor technology. AI classification of shoulder wearing an IMU has only been reported in normal (i.e. painless) subjects. To prove the feasibility compliance, we aimed to classify 11 types rehabilitation exercises using (artificial intelligence) algorithm patients with pain. We had wear IMU-based sensor, collected data during exercise, and determined accuracy...

Objectives The purpose of this study is to explore ways apply the link between each phases concept-based inquiry learning and thinking routines that support students’ higher-order thinking. Methods A total 107 were collected, a linkage framework was constructed by identifying characteristics phase in learning. research team with expertise conducted individual collaborative analyses, discussions, adjustments align further investigated strategies effectively teaching activities specific phase....

Background With the global rise in Alzheimer disease (AD), early screening for mild cognitive impairment (MCI), which is a preclinical stage of AD, paramount importance. Although biomarkers such as cerebrospinal fluid amyloid level and magnetic resonance imaging have been studied, they limitations, high cost invasiveness. Digital markers to assess by analyzing behavioral data collected from digital devices daily life can be new alternative. In this context, we developed “virtual kiosk test”...

Alzheimer's disease (AD) causes a rapid deterioration in cognitive and physical functions, including problem-solving, memory, language, daily activities. Mild impairment (MCI) is considered risk factor for AD, early diagnosis treatment of MCI may help slow the progression AD. Electroencephalography (EEG) analysis has become an increasingly popular tool developing biomarkers AD diagnosis. Compared with healthy elderly, patients showed very clear differences EEG patterns, but it inconclusive...

The present study applied the technology acceptance model to examine determinants leading learners' behavioral intention use a multimedia-based learning system. Four exogenous constructs—multimedia self-efficacy, perceived richness of multimedia presentation, learner control, and system responsiveness—were externally added framework improve its predictive power for specific context. In addition, second-order construct cognitive engagement was created based upon dimensions curiosity,...

KEYWORDS: Gamificationvisualizationnarrative persuasionflow experiencemoral goalsaffective utilityself-directed behaviorextrinsic rewardshedonic adaptation

Gait disturbance is a common sequela of stroke. Conventional gait analysis has limitations in simultaneously assessing multiple joints. Therefore, we investigated the characteristics stroke patients using hip-knee cyclograms, which have advantage visualizing kinematics Stroke (n = 47) were categorized into two groups according to severity, and healthy controls 32) recruited. An inertial measurement unit sensor-based system, requires placing seven sensors on dorsum both feet, shafts tibias,...

Early detection of mild cognitive impairment (MCI) is crucial to impede dementia progression. Virtual reality (VR) biomarkers are adept at detecting impairments in instrumental activities daily living (IADL), whereas magnetic resonance imaging (MRI) excel measuring observable structural changes the brain. However, efficacy integrating VR and MRI improve early MCI remains unclear. This study aims evaluate compare effectiveness investigates potential their combined use for more accurate...

This paper reports on a design case study for mobile learning (M-learning) environment that follows user-centred approach. development of the system applied an M-learning framework to identify appropriate requirements in practice.