Artificial intelligence (AI) systems offer effective support for online learning and teaching, including personalizing students, automating instructors' routine tasks, powering adaptive assessments. However, while the opportunities AI are promising, impact of on culture of, norms in, expectations about interactions between students instructors still elusive. In learning, learner-instructor interaction (inter alia, communication, support, presence) has a profound students' satisfaction...

Abstract Self-regulated learning (SRL) is crucial for helping students attain high academic performance and achieve their objectives in the online context. However, learners often face challenges properly applying SRL environments. Recent developments artificial intelligence (AI) applications have shown promise supporting learners’ self-regulation by measuring augmenting SRL, but research this area still its early stages. The purpose of study to explore students’ perceptions use AI support...

Empowering K-12 teachers for personalized learning using artificial intelligence (AI) is an open challenge. AI systems often fall short of meeting the needs teachers, hindering educational process or even causing conflicts. To bridge this gap, our study aims to explore regarding AI's complementary role within classrooms. In Study 1, we conducted a focus group interview (n = 15) identify roles that envision augmenting learning. We identified eight key roles: curriculum design, development...

In the midst of COVID-19 pandemic, use non-face-to-face information and communication technology (ICT) such as kiosks has increased. While are useful overall, those who do not adapt well to these technologies experience technostress. The two most serious technostressors inclusion overload issues, which indicate a sense inferiority due perceived inability ICT being overwhelmed by too much information, respectively. This study investigated different effects hybrid technostress-induced both...

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...

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...

An effective way to reduce emotional distress is by sharing negative emotions with others. This why counseling a virtual counselor an emerging methodology, where the sharer can consult freely anytime and anywhere without having fear being judged. To improve effectiveness, most studies so far have focused on designing verbal compassion for counselors. However, recent showed that counselors' nonverbal through eye contact, facial mimicry, head-nodding also significant impact overall experience....

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...

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

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...

Video-based learning (VBL) is widespread; however, there are numerous challenges when teaching and with video. For instructors, creating effective instructional videos takes considerable time effort. students, watching can be a passive activity. Artificial intelligence (AI) has the potential to improve VBL experience for students teachers. This half-day workshop will bring together multi-disciplinary researchers practitioners collaboratively envision future of enhanced by AI. comprised group...

Abstract The illusion of having a large body makes us perceive objects as smaller than they really are. This action-specific perception effect occurs because we the property an object (i.e., size) differently according to our unique action capability affordance size). Although body-ownership contributing this has been studied, its effects remain unclear in neurological patients. We examined impairments MCI patients by means non-immersive virtual reality environment. Twenty healthy young...

This study introduces a novel multimodal biomarker approach for the early screening of mild cognitive impairment (MCI), integrating biomarkers from virtual reality (VR), evoked potential (EP), electroencephalogram (EEG), and magnetic resonance imaging (MRI). A total 46 participants, including 21 healthy controls 25 MCI patients, were recruited, nine distinct VR, EP, EEG, MRI collected each participant. These showed significant differences between patients. Leveraging machine learning model...

While video becomes increasingly prevalent in educational settings, current research has yet to investigate what feedback instructors need regarding their students' engagement and learning despite technologies being equipped provide viewing analytics collect student feedback. In this paper we instructors' requirements from analytics. We used a Grounded Theory Approach interviewed 16 who teach using determine the advantages for teaching different existing practice. Based on our analysis of...

The inability to complete instrumental activities of daily living (IADL) is a precursor various neuropsychological diseases. Questionnaire-based assessments IADL are easy use but prone subjective bias. Here, we describe novel virtual reality (VR) test assess two complex tasks: handling financial transactions and using public transportation. While participant performs the tasks in VR setting, motion capture system traces position orientation dominant hand head three-dimensional Cartesian...

The present study developed four servicing solutions building upon the systematic literature review including 80 product-service integrated examples from 2003 to 2015. Using both open and closed card-sorting methods with experts novices respectively, categorized servicizing were empirically verified. These include: (1) add a function solutions, (2) offset product’s weakness using (3) propose new user experience (UX) (4) mix products-services on other firm’s strengths (i.e. inter-firms...

Paper-and-pencil-based psychometric tests are the gold standard for diagnosis of cognitive dysfunction in liver disease. However, they take time, can be affected by demographic factors, and lack ecological validity. This study explored multi-sensory integration ability to discriminate cirrhosis. Thirty-two healthy controls 30 cirrhotic patients were recruited. The sensory test presents stimuli from two different modalities (e.g., image/sound) with a short time lag, subjects judge which...