3,368 research outputs found
Conversational affective social robots for ageing and dementia support
Socially assistive robots (SAR) hold significant potential to assist older adults and people with dementia in human engagement and clinical contexts by supporting mental health and independence at home. While SAR research has recently experienced prolific growth, long-term trust, clinical translation and patient benefit remain immature. Affective human-robot interactions are unresolved and the deployment of robots with conversational abilities is fundamental for robustness and humanrobot engagement. In this paper, we review the state of the art within the past two decades, design trends, and current applications of conversational affective SAR for ageing and dementia support. A horizon scanning of AI voice technology for healthcare, including ubiquitous smart speakers, is further introduced to address current gaps inhibiting home use. We discuss the role of user-centred approaches in the design of voice systems, including the capacity to handle communication breakdowns for effective use by target populations. We summarise the state of development in interactions using speech and natural language processing, which forms a baseline for longitudinal health monitoring and cognitive assessment. Drawing from this foundation, we identify open challenges and propose future directions to advance conversational affective social robots for: 1) user engagement, 2) deployment in real-world settings, and 3) clinical translation
Persuasive 2006 : first international conference on persuasive technology for human well-being : Eindhoven, The Netherlands, May 18-19, 2006 : adjunct proceedings
The adjunct proceedings contain the extended abstracts of the posters that were presented during the poster sessio
The Emerging Role of Robotics in Personal Health Care: Bringing Smart Health Care Home
Affordable, accessible health care is in short supply in the U.S., due to the rapidly aging population; robotics can provide a solution to this problem. This project developed user requirements for a personal health care robot. From interviews with robotics professionals and focus groups with caregivers and the elderly, the team gained an understanding of potential usersâ desired functionalities and acceptance of robots. The team developed a taxonomy to characterize robotsâ interaction with users. The requirements generated by the studies were used in conjunction with this taxonomy to recommend a robot for use in personal health care. An in-home monitoring system was found to have the greatest potential to benefit the health care industry and the target demographic
Online annotations tools for micro-level human behavior labeling on videos
Abstract. Successful machine learning and computer vision approach generally require significant amounts of annotated data for learning. These methods including identification, retrieval, classification of events, and analysis of human behavior from a video. Micro-level human behavior analysis usually requires laborious efforts for obtaining the precise labels. As the quantity of online video grows, the crowdsourcing approach provides a method for workers without a professional background to complete the annotation task. These workers require training to understand implicit knowledge of human behavior. The motivation of this study was to enhance the interaction between annotation workers for training purposes. By observing experienced local researchers in Oulu, the key problem with annotation is the precision of the results. The goal of this study was to provide training tools for people to improve the label quality, it illustrates the importance of training. In this study, a new annotation tool was developed to test workersâ performance in reviewing other annotations. This tool filters very noisy input by comment and vote feature. The result indicated that users were more likely to annotate micro behavior and time that refer to other opinions, and it was a more effective and reliable way to train. Besides, this study reported the development process with React and Firebase, it emphasized the use of more Web resources and tools to develop annotation tools
A Review on Brain-Controlled Home Automation
A "smart home" employs ambient intelligence to keep tabs on things around the house so that the owner may get services tailored to their specific needs and control their home appliances from afar. Home automation for the elderly and handicapped focuses on enabling older persons and those with disabilities to live safely and comfortably at home. Additionally, the integration of this technology with a brain-computer interface (BCI) is perhaps of tremendous usefulness to those who are either old or disabled. These BCI-based brain-controlled home automation (BCHA) systems have emerged as a viable option for people with neuro disorders to remain in their homes rather than move to assisted living facilities. To summarize, BCI-based BCHA for the elderly and handicapped people is transforming people's lives every day. Most individuals prefer a simple approach to save time and effort. Automating the house is the simplest way for individuals to save time and effort. The brain-computer interface, often known as a BCI, is an innovative method of human-computer connection that does not rely on conventional output channels (muscle tissue and peripheral nerve). Over the course of the last three decades, it has attracted the attention of industry experts and developed into a thriving centre for research. Brain-controlled home automation (BCHA), as a typical BCI application, may provide physically challenged people with a new communication route with the outside world. However, the primary challenge that BCHA faces is to rapidly decipher multi-degree-of-freedom control instructions extracted from an electroencephalogram (EEG). The BCHA's research has made significant headway in a short amount of time during the last fifteen years. This study investigates the BCHA from several viewpoints, including the pattern of instructions for the control system, the type of signal acquisition, and the operational mechanism of the control system itself. This paper a concise description of the building blocks of smart homes and how they may be used to construct BCI-controlled home automation to assist disabled individuals. It is a compilation of information pertaining to communication protocols, multimedia devices, sensors, and systems that are often used in the process of putting smart homes into action. A comprehensive strategy for developing a functional and sustainable BCI-controlled home automation system is laid out in this paper as well, which could be useful to researchers in the future
CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap
After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in
multimedia search engines, we have identified and analyzed gaps within European research effort during our second year.
In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio-
economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown
of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on
requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the
community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our
Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as
National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core
technological gaps that involve research challenges, and âenablersâ, which are not necessarily technical research
challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal
challenges
Smart workplaces: a system proposal for stress management
Over the past last decades of contemporary society, workplaces
have become the primary source of many health issues, leading
to mental problems such as stress, depression, and anxiety.
Among the others, environmental aspects have shown to be the
causes of stress, illness, and lack of productivity. With the arrival
of new technologies, especially in the smart workplaces field,
most studies have focused on investigating the building energy
efficiency models and human thermal comfort. However, little has
been applied to occupantsâ stress recognition and well-being
overall. Due to this fact, this present study aims to propose a
stress management solution for an interactive design system that
allows the adapting of comfortable environmental conditions
according to the user preferences by measuring in real-time the
environmental and biological characteristics, thereby helping to
prevent stress, as well as to enable users to cope stress when
being stressed. The secondary objective will focus on evaluating
one part of the system: the mobile application. The proposed
system uses several usability methods to identify usersâ needs,
behavior, and expectations from the user-centered design
approach. Applied methods, such as User Research, Card
Sorting, and Expert Review, allowed us to evaluate the design
system according to Heuristics Analysis, resulting in improved
usability of interfaces and experience. The study presents the
research results, the design interface, and usability tests.
According to the User Research results, temperature and noise
are the most common environmental stressors among the users
causing stress and uncomfortable conditions to work in, and the
preference for physical activities over the digital solutions for
coping with stress. Additionally, the System Usability Scale (SUS)
results identified that the systemâs usability was measured as
âexcellentâ and âacceptableâ with a final score of 88 points out of
the 100. It is expected that these conclusions can contribute to
future investigations in the smart workplaces study field and their
interaction with the people placed there.Nas Ășltimas dĂ©cadas da sociedade contemporĂąnea, o local de
trabalho tem se tornado principal fonte de muitos problemas de
saĂșde mental, como o stress, depressĂŁo e ansiedade. Os aspetos
ambientais tĂȘm se revelado como as causas de stress, doenças,
falta de produtividade, entre outros. Atualmente, com a chegada de
novas tecnologias, principalmente na ĂĄrea de locais de trabalho
inteligentes, a maioria dos estudos tem se concentrado na
investigação de modelos de eficiĂȘncia energĂ©tica de edifĂcios e
conforto térmico humano. No entanto, pouco foi aplicado ao
reconhecimento do stress dos ocupantes e ao bem-estar geral das
pessoas. Diante disso, o objetivo principal Ă© propor um sistema de
design de gestĂŁo do stress para um sistema de design interativo que
permita adaptar as condiçÔes ambientais de acordo com as
preferĂȘncias de utilizador, medindo em tempo real as caracterĂsticas
ambientais e biológicas, auxiliando assim na prevenção de stress,
bem como ajuda os utilizadores a lidar com o stress quando estĂŁo
sob o mesmo. O segundo objetivo Ă© desenhar e avaliar uma parte
do projeto â o protĂłtipo da aplicação mĂłvel atravĂ©s da realização
de testes de usabilidade. O sistema proposto resulta da abordagem
de design centrado no utilizador, utilizando diversos métodos de
usabilidade para identificar as necessidades, comportamentos e as
expectativas dos utilizadores. MĂ©todos aplicados, como Pesquisa de
UsuĂĄrio, Card Sorting e RevisĂŁo de Especialistas, permitiram avaliar
o sistema de design de acordo com a anĂĄlise heurĂstica, resultando
numa melhoria na usabilidade das interfaces e experiĂȘncia. O
estudo apresenta os resultados da pesquisa, a interface do design e
os testes de usabilidade. De acordo com os resultados de User
Research, a temperatura e o ruĂdo sĂŁo os stressores ambientais
mais comuns entre os utilizadores, causando stresse e condiçÔes
menos favorĂĄveis para trabalhar, igualmente existe uma preferĂȘncia
por atividades fĂsicas sobre as soluçÔes digitais na gestĂŁo do
stresse. Adicionalmente, os resultados de System Usability Scale
(SUS) identificaram a usabilidade do sistema de design como
âexcelenteâ e âaceitĂĄvelâ com pontuação final de 88 pontos em 100.
à esperado que essas conclusÔes possam contribuir para futuras
investigaçÔes no campo de estudo dos smart workplaces e sua
interação com os utilizadores
- âŠ