67 research outputs found

    A survey on parallel and distributed Multi-Agent Systems

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    International audienceSimulation has become an indispensable tool for researchers to explore systems without having recourse to real experiments. Depending on the characteristics of the modeled system, methods used to represent the system may vary. Multi-agent systems are, thus, often used to model and simulate complex systems. Whatever modeling type used, increasing the size and the precision of the model increases the amount of computation, requiring the use of parallel systems when it becomes too large. In this paper, we focus on parallel platforms that support multi-agent simulations. Our contribution is a survey on existing platforms and their evaluation in the context of high performance computing. We present a qualitative analysis, mainly based on platform properties, then a performance comparison using the same agent model implemented on each platform

    The association of health literacy with adherence in older 2 adults, and its role in interventions: a systematic meta-review

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    Background: Low health literacy is a common problem among older adults. It is often suggested to be associated with poor adherence. This suggested association implies a need for effective adherence interventions in low health literate people. However, previous reviews show mixed results on the association between low health literacy and poor adherence. A systematic meta-review of systematic reviews was conducted to study the association between health literacy and adherence in adults above the age of 50. Evidence for the effectiveness of adherence interventions among adults in this older age group with low health literacy was also explored. Methods: Eight electronic databases (MEDLINE, ERIC, EMBASE, PsycINFO, CINAHL, DARE, the Cochrane Library, and Web of Knowledge) were searched using a variety of keywords regarding health literacy and adherence. Additionally, references of identified articles were checked. Systematic reviews were included if they assessed the association between health literacy and adherence or evaluated the effectiveness of interventions to improve adherence in adults with low health literacy. The AMSTAR tool was used to assess the quality of the included reviews. The selection procedure, data-extraction, and quality assessment were performed by two independent reviewers. Seventeen reviews were selected for inclusion. Results: Reviews varied widely in quality. Both reviews of high and low quality found only weak or mixed associations between health literacy and adherence among older adults. Reviews report on seven studies that assess the effectiveness of adherence interventions among low health literate older adults. The results suggest that some adherence interventions are effective for this group. The interventions described in the reviews focused mainly on education and on lowering the health literacy demands of adherence instructions. No conclusions could be drawn about which type of intervention could be most beneficial for this population. Conclusions: Evidence on the association between health literacy and adherence in older adults is relatively weak. Adherence interventions are potentially effective for the vulnerable population of older adults with low levels of health literacy, but the evidence on this topic is limited. Further research is needed on the association between health literacy and general health behavior, and on the effectiveness of interventions

    Assessing Synthetic Voices for Mental Health Chatbots

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    Considering the possibility to exploit information and communication technologies (ICT) and specifically speaking chatbots, in the mental health domain, a study is proposed aimed at testing the perceptual features of different synthetic voices considering some fundamental aspects of human–computer interaction, namely users’ acceptance and expectations. More specifically, the effect of synthetic voices’ gender and quality on user’s preferences were investigated. The study involved 40 participants, recruited in Northern Ireland, split into two groups: mental health experts and participants living with depression and/or anxiety. Six synthetic voices, three females and three males, characterized by different quality levels were developed for the experiment, exploiting free online synthesizers. The Virtual Agent Voice Acceptance Questionnaire (VAVAQ) was used to collect data regarding preferences toward the different synthetic voices. Results showed that participants’ preferences seem to be affected by both the gender and the quality of a synthetic voice. In particular, participants preferred female voices and high-quality voices. Results also seem to suggest that the quality of a synthetic voice could have a stronger impact on users’ evaluations compared to voice’s gender

    Comparing two implementation strategies for implementing and sustaining a case management practice serving homeless-experienced veterans: a protocol for a type 3 hybrid cluster-randomized trial.

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    BackgroundThe Veterans Health Administration (VA) Grant and Per Diem case management "aftercare" program provides 6 months of case management for homeless-experienced veterans (HEVs) undergoing housing transitions. To standardize and improve aftercare services, we will implement critical time intervention (CTI), an evidence-based, structured, and time-limited case management practice. We will use two strategies to support the implementation and sustainment of CTI at 32 aftercare sites, conduct a mixed-methods evaluation of this implementation initiative, and generate a business case analysis and implementation playbook to support the continued spread and sustainment of CTI in aftercare.MethodsWe will use the Replicating Effective Programs (REP) implementation strategy to support CTI implementation at 32 sites selected by our partners. Half (n=16) of these sites will also receive 9 months of external facilitation (EF, enhanced REP). We will conduct a type 3 hybrid cluster-randomized trial to compare the impacts of REP versus enhanced REP. We will cluster potential sites into three implementation cohorts staggered in 9-month intervals. Within each cohort, we will use permuted block randomization to balance key site characteristics among sites receiving REP versus enhanced REP; sites will not be blinded to their assigned strategy. We will use mixed methods to assess the impacts of the implementation strategies. As fidelity to CTI influences its effectiveness, fidelity to CTI is our primary outcome, followed by sustainment, quality metrics, and costs. We hypothesize that enhanced REP will have higher costs than REP alone, but will result in stronger CTI fidelity, sustainment, and quality metrics, leading to a business case for enhanced REP. This work will lead to products that will support our partners in spreading and sustaining CTI in aftercare.DiscussionImplementing CTI within aftercare holds the potential to enhance HEVs' housing and health outcomes. Understanding effective strategies to support CTI implementation could assist with a larger CTI roll-out within aftercare and support the implementation of other case management practices within and outside VA.Trial registrationThis project was registered with ClinicalTrials.gov as "Implementing and sustaining Critical Time Intervention in case management programs for homeless-experienced Veterans." Trial registration NCT05312229 , registered April 4, 2022

    Other Advanced Research Initiatives in Elderly Care and Fragility Prevention

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    Based on the lessons learnt from the co-design, development and inte- gration processes, the research findings and the outputs from the engagement with a network of stakeholders over the course of the EU funded initiatives, this chapter will aim to help sketching the future policies and research funding programmes for ageing well in Europe. The chapter presents the visions and the perspectives of the running projects in the frame of the H2020 Personalized Medicine-15 call

    International Conference on NONLINEAR SPEECH PROCESSING, NOLISP 2015

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    e Non-Linear Speech Processing (NOLISP) workshop is a biennial international workshop aiming at presenting and discussing new ideas, techniques and results related to alternative approaches in speech processing. New and innovative approaches and their applications are welcome to participate in this workshop. All fields of speech processing are targeted by the workshop, namely: Speech Production Speech Analysis and Modeling Speech Coding Speech Synthesis Speech Recognition Speaker Identification / Verification Speech Enhancement / Separation Speech Perception Others Contributions are expected in (though not restricted to) the following domains: Non-Linear Approximation Non-Linear Oscillators and Predictors Higher-Order Statistics Independent Component Analysis Nearest Neighbours Neural Networks Decision Trees Non-Parametric Models Dynamics of Non-Linear Systems Fractal Methods Chaos Modeling Non-Linear Differential Equation

    A cross-cultural survey to identify Seniors' preferences towards the Empathic Virtual Coach

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    The present investigation is part of the EMPATHIC project aiming at develop an Empathic Virtual Coach (VC) able to promote seniors' healthy lifestyle and independent aging. To this end, it is fundamental to investigate users' preferences towards the implemented automatic system refined on the basis of users' preferences derived from previous field trials with Wizard of Oz (WoZ) experimental sessions. Data collection has been carried out involving three different countries (France, Norway and Spain) and a total of 71 volunteers was enrolled in the planned field trials. Five Virtual Agents (VAs) named Natalie, Alice, Lena, Christian and Adam were purposely designed and users' preferences were assessed using the shortened version of the Virtual Agent Acceptance Questionnaire (VAAQ). This specific tool, developed by members of the EMPATHIC project, includes 7 different sections, and the present work aims to disseminate results of four of the seven sections administered to participants, devoted at assessing respectively: users' willingness to interact (section II); pragmatic, hedonic (Identity and Feeling) and attractiveness qualities (section III); the type of task participants entrusted to the proposed agents among healthcare, housework, protection/security, and front office jobs (section V) and agents voice' quality (section VI). Results reveal seniors' appreciation of agents' pleasantness, originality, voice' quality and ability to engage users in a long lasting interaction with them
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