- Technology Use by Older Adults
- Social Robot Interaction and HRI
- Dementia and Cognitive Impairment Research
- Aging, Elder Care, and Social Issues
- Health, Medicine and Society
- AI in Service Interactions
- Assistive Technology in Communication and Mobility
- Balance, Gait, and Falls Prevention
- Telemedicine and Telehealth Implementation
- Geriatric Care and Nursing Homes
- Digital Mental Health Interventions
- Healthcare Systems and Practices
- Handwritten Text Recognition Techniques
- Stroke Rehabilitation and Recovery
- Neurological Disorders and Treatments
- Alzheimer's disease research and treatments
- Transportation and Mobility Innovations
- Innovative Approaches in Technology and Social Development
- Aging and Gerontology Research
- Neurobiology of Language and Bilingualism
- Cerebral Palsy and Movement Disorders
- Context-Aware Activity Recognition Systems
- Health disparities and outcomes
- Human-Animal Interaction Studies
- Natural Language Processing Techniques
Hôpital Broca
2016-2025
Assistance Publique – Hôpitaux de Paris
2015-2025
Université Paris Cité
2016-2025
Sorbonne Paris Cité
2018-2024
Hôtel-Dieu de Paris
2024
Centre d’Expertise National en Stimulation Cognitive
2019-2023
Délégation Paris 5
2012-2022
Groupe Hospitalier Cochin - Port-Royal, Hôtel-Dieu, Broca - La Collégiale
2022
Hôpital Cochin
2008-2021
Maladie d'Alzheimer : marqueurs génétiques et vasculaires, neuropsychologie
2016-2020
Background: There is growing interest in investigating acceptance of robots, which are increasingly being proposed as one form assistive technology to support older adults, maintain their independence, and enhance well-being. In the present study, we aimed observe robot-acceptance particularly subsequent a 1-month direct experience with robot. Subjects methods: Six adults mild cognitive impairment (MCI) five cognitively intact healthy (CIH) were recruited. Participants interacted an robot...
Purpose: In a society where technology progresses at an exponential rate, older adults are often unaware of the existence different kinds information and communication technologies (ICTs). To bridge gap, we launched 2-year project, during which conducted focus groups (FGs) with demonstrations ICTs, allowing to try them out share their opinions. This study aimed investigating how participants perceived this kind initiative they reacted ICTs. Patients methods: total, 14 FGs were...
The purpose of this study was to explore perceived difficulties and needs older adults with mild cognitive impairment (MCI) their attitudes toward an assistive robot develop appropriate functionalities. Twenty subjects were recruited participate in either a focus group or interview. Findings revealed that although participants reported managing some daily activities, they did not see themselves as needing assistance. Indeed, considered capable coping compensatory strategies. They therefore...
Health services through digital technologies (e-health) offer a promising solution, but some older adults may encounter difficulties in utilizing these resources due to varying levels of e-health literacy. This study investigated the relationship between depression, leisure activities, and literacy among EU Japan using cross-sectional data from e-ViTA baseline survey. Findings revealed that depression was negatively associated with both regions (EU: β = −0.54, 95% confidence interval (CI):...
Researchers have hypothesized that learning a foreign language could be beneficial for seniors, as requires the use of extensive neural networks. We developed and qualitatively evaluated an English training program older French adults; our principal objective was to determine whether integrating technology is feasible this population. conducted 4-month pilot study (16, 2- hour sessions) with 14 participants, (9 women, 5 men, average age 75). Questionnaires were administered pre-...
Building upon the recent advances and successes in application of deep learning to medical field, we propose this work a new approach detect classify early-stage Alzheimer patients using online handwriting (HW) loop patterns. To cope with lack training data prevalent tasks classification neuro-degenerative diseases from behavioral data, investigate several augmentation techniques. In respect, compared traditional techniques proposed for HW-based Parkinson detection, variant Generative...
The interest in robot-assisted therapies (RAT) for dementia care has grown steadily recent years. However, RAT using humanoid robots is still a novel practice which the adhesion mechanisms, indications and benefits remain unclear. Also, little known about how robot's behavioral affective style might promote engagement of persons with (PwD) RAT. present study sought to investigate use robot psychomotor therapy PwD. We examined potential engage participants intervention its effect on their...
This study investigated cognitive function in relation to the use of a computer and touchscreen device among older adults attending memory clinic. The entire sample (n = 323) was categorized into four profiles, according frequency digital (either daily or non-daily usage). Results showed that on basis, 26% used both device, 26.9% only computer, 7.1% 39.9% neither type device. There were significant group differences age, education, clinical diagnosis (p < .001). Non-daily users devices had...
Background. Neurofeedback (NF) training, as a method of self-regulation brain activity, may be beneficial in elderly patients with mild cognitive impairment. In this pilot study, we investigated whether sensorimotor (SMR)/ theta NF training could improve performance and electrical activity Methods. Twenty impairment (MCI) were assigned to 20 consecutive sessions during 10 weeks, on basis 2 each week. Neuropsychological assessments questionnaires well electroencephalogram (EEG) performed...
<sec> <title>BACKGROUND</title> Socially assistive robots offer promising opportunities to support older adults in healthcare settings by enhancing communication, reducing loneliness, and promoting emotional well-being. Beyond direct patient interaction, socially may also assist professionals facilitating information delivery, relieving workload, improving the organization of care activities. However, ensuring that these systems are both acceptable usable staff remains a critical challenge,...
Older people are an important and growing sector of the population. This demographic change raises profile frailty disability within world's In such conditions, many old need aides to perform daily activities. Most o
BACKGROUND: Embodied conversational agents (ECA) are possible enablers of assistive technologies, in particular for older adults with cognitive impairment. Yet, dedicated interaction management techniques addressing the specificities this public needed. OBJECTIVES: We assess whether inte raction framework LOUISE (Lovely User Interface Servicing Elders) ECA has potential to overcome user interface constraints linked METHODS: supports key target-specific features: personalization; attention...
Precautionary measures (e.g., social distancing, mask wearing, washing hands regularly) to limit the transmission of Coronavirus 19 (COVID-19) have been put in place worldwide. However, a limited understanding precautionary and low compliance with them has observed older adults neurocognitive disorders, persons intellectual disability, or mental illness. The objective this study is create evaluate robot-mediated activity deliver information on COVID-19 an accessible engaging way using...
With over 55 million people globally affected by dementia and nearly 10 new cases reported annually, Alzheimer's disease is a prevalent challenging neurodegenerative disorder. Despite significant advancements in machine learning techniques for detection, the widespread adoption of deep models raises concerns about their explainability. The lack explainability online handwriting analysis critical gap literature context detection. This paper addresses this challenge interpreting predictions...
Artificial Neural Networks (ANNs) have amassed unprecedented success in information processing ranging from image recognition to time series prediction. The can largely be attributed the availability of large datasets for training and increased complexity models. Unfortunately, some applications only a limited amount samples is available training. Fewer increases risk over-fitting poor generalization especially high Moreover, complex models with number trainable parameters require more...
The aim of this study is to report a trial protocol for assessing the improvement older adults' well-being, promoting active and healthy aging, reducing risks social exclusion, using virtual coach. Increased longevity brings with it reduced autonomy independence, therefore necessary act preventive measures that can promote aging. With development technology, new tools have appeared, including coaches, which enable people lead lifestyle by identifying individual needs goals providing...
Since the creation of earliest video games in 1970s, a number studies have been conducted to investigate how cognitive skills are involved these electronic games. Within field neuropsychology first represented an interesting tool for implementation rehabilitation programmes as they provided tasks that addressed multiple skills. The ease use and aesthetic attractiveness motivated this choice. Some were with healthy elderly people assess impact on motor However, not very flexible resulted...
We present the first experiment we conducted to evaluate attention monitoring performance of Louise, following a Wizard Oz method, during interactions with cohort 8 elderly users in day hospital environment. Louise is new, semi-automatic prototype an Embodied Conversational Agent (ECA), virtual character interacting through social-like communication, adapted special needs older adults cognitive impairment; it intended ultimately provide assistance their activities daily living. recorded and...