288 research outputs found
Boosting children's creativity through creative interactions with social robots
Creativity is an ability with psychological and developmental benefits. Creative levels are
dynamic and oscillate throughout life, with a first major decline occurring at the age of 7 years
old. However, creativity is an ability that can be nurtured if trained, with evidence suggesting an
increase in this ability with the use of validated creativity training. Yet, creativity training for
young children (aged between 6-9 years old) appears as scarce. Additionally, existing training
interventions resemble test-like formats and lack of playful dynamics that could engage children
in creative practices over time. This PhD project aimed at contributing to creativity stimulation
in children by proposing to use social robots as intervention tools, thus adding playful and
interactive dynamics to the training. Towards this goal, we conducted three studies in schools,
summer camps, and museums for children, that contributed to the design, fabrication, and
experimental testing of a robot whose purpose was to re-balance creative levels. Study 1 (n =
140) aimed at testing the effect of existing activities with robots in creativity and provided initial
evidence of the positive potential of robots for creativity training. Study 2 (n = 134) aimed at
including children as co-designers of the robot, ensuring the robot’s design meets children’s
needs and requirements. Study 3 (n = 130) investigated the effectiveness of this robot as a tool
for creativity training, showing the potential of robots as creativity intervention tools. In sum,
this PhD showed that robots can have a positive effect on boosting the creativity of children.
This places social robots as promising tools for psychological interventions.Criatividade é uma habilidade com benefícios no desenvolvimento saudável. Os níveis de
criatividade são dinâmicos e oscilam durante a vida, sendo que o primeiro maior declínio
acontece aos 7 anos de idade. No entanto, a criatividade é uma habilidade que pode ser nutrida se
treinada e evidências sugerem um aumento desta habilidade com o uso de programas validados
de criatividade. Ainda assim, os programas de criatividade para crianças pequenas (entre os 6-9
anos de idade) são escassos. Adicionalmente, estes programas adquirem o formato parecido ao
de testes, faltando-lhes dinâmicas de brincadeira e interatividade que poderão motivar as crianças
a envolverem-se em práticas criativas ao longo do tempo. O presente projeto de doutoramento
procurou contribuir para a estimulação da criatividade em crianças propondo usar robôs sociais
como ferramenta de intervenção, adicionando dinâmicas de brincadeira e interação ao treino.
Assim, conduzimos três estudos em escolas, campos de férias, e museus para crianças que
contribuíram para o desenho, fabricação, e teste experimental de um robô cujo objetivo é ser uma
ferramenta que contribui para aumentar os níveis de criatividade. O Estudo 1 (n = 140) procurou
testar o efeito de atividade já existentes com robôs na criatividade e mostrou o potencial positivo
do uso de robôs para o treino criativo. O Estudo 2 (n = 134) incluiu crianças como co-designers
do robô, assegurando que o desenho do robô correspondeu às necessidades das crianças. O
Estudo 2 (n = 130) investigou a eficácia deste robô como ferramenta para a criatividade,
demonstrando o seu potencial para o treino da criatividade. Em suma, o presente doutoramento
mostrou que os robôs poderão ter um potencial criativo em atividades com crianças. Desta
forma, os robôs sociais poderão ser ferramentas promissoras em intervenções na psicologia
Addressing joint action challenges in HRI: Insights from psychology and philosophy
The vast expansion of research in human-robot interactions (HRI) these last decades has been accompanied by
the design of increasingly skilled robots for engaging in joint actions with humans. However, these advances
have encountered significant challenges to ensure fluent interactions and sustain human motivation through the
different steps of joint action. After exploring current literature on joint action in HRI, leading to a more precise
definition of these challenges, the present article proposes some perspectives borrowed from psychology and
philosophy showing the key role of communication in human interactions. From mutual recognition between
individuals to the expression of commitment and social expectations, we argue that communicative cues can
facilitate coordination, prediction, and motivation in the context of joint action. The description of several notions
thus suggests that some communicative capacities can be implemented in the context of joint action for
HRI, leading to an integrated perspective of robotic communication.French National Research Agency (ANR) ANR-16-CE33-0017
ANR-17-EURE-0017 FrontCog
ANR-10-IDEX-0001-02 PSLJuan de la Cierva-Incorporacion grant IJC2019-040199-ISpanish Government PID2019-108870GB-I00
PID2019-109764RB-I0
Trust in Robots
Robots are increasingly becoming prevalent in our daily lives within our living or working spaces. We hope that robots will take up tedious, mundane or dirty chores and make our lives more comfortable, easy and enjoyable by providing companionship and care. However, robots may pose a threat to human privacy, safety and autonomy; therefore, it is necessary to have constant control over the developing technology to ensure the benevolent intentions and safety of autonomous systems. Building trust in (autonomous) robotic systems is thus necessary. The title of this book highlights this challenge: “Trust in robots—Trusting robots”. Herein, various notions and research areas associated with robots are unified. The theme “Trust in robots” addresses the development of technology that is trustworthy for users; “Trusting robots” focuses on building a trusting relationship with robots, furthering previous research. These themes and topics are at the core of the PhD program “Trust Robots” at TU Wien, Austria
Artificial intelligence within the interplay between natural and artificial computation:Advances in data science, trends and applications
Artificial intelligence and all its supporting tools, e.g. machine and deep learning in computational intelligence-based systems, are rebuilding our society (economy, education, life-style, etc.) and promising a new era for the social welfare state. In this paper we summarize recent advances in data science and artificial intelligence within the interplay between natural and artificial computation. A review of recent works published in the latter field and the state the art are summarized in a comprehensive and self-contained way to provide a baseline framework for the international community in artificial intelligence. Moreover, this paper aims to provide a complete analysis and some relevant discussions of the current trends and insights within several theoretical and application fields covered in the essay, from theoretical models in artificial intelligence and machine learning to the most prospective applications in robotics, neuroscience, brain computer interfaces, medicine and society, in general.BMS - Pfizer(U01 AG024904). Spanish Ministry of Science, projects: TIN2017-85827-P, RTI2018-098913-B-I00, PSI2015-65848-R, PGC2018-098813-B-C31, PGC2018-098813-B-C32, RTI2018-101114-B-I, TIN2017-90135-R, RTI2018-098743-B-I00 and RTI2018-094645-B-I00; the FPU program (FPU15/06512, FPU17/04154) and Juan de la Cierva (FJCI-2017–33022). Autonomous Government of Andalusia (Spain) projects: UMA18-FEDERJA-084. Consellería de Cultura, Educación e Ordenación Universitaria of Galicia: ED431C2017/12, accreditation 2016–2019, ED431G/08, ED431C2018/29, Comunidad de Madrid, Y2018/EMT-5062 and grant ED431F2018/02.
PPMI – a public – private partnership – is funded by The Michael J. Fox Foundation for Parkinson’s Research and funding partners, including Abbott, Biogen Idec, F. Hoffman-La Roche Ltd., GE Healthcare, Genentech and Pfizer Inc
The multi-modal interface of Robot-Era multi-robot services tailored for the elderly
Socially assistive robotic platforms are now a realistic option for the long-term care of ageing populations. Elderly users may benefit from many services provided by robots operating in different environments, such as providing assistance inside apartments, serving in shared facilities of buildings or guiding people outdoors. In this paper, we present the experience gained within the EU FP7 ROBOT-ERA project towards the objective of implementing easy-to-use and acceptable service robotic system for the elderly. In particular, we detail the user-centred design and the experimental evaluation in realistic environments of a web-based multi-modal user interface tailored for elderly users of near future multi-robot services. Experimental results demonstrate positive evaluation of usability and willingness to use by elderly users, especially those less experienced with technological devices who could benefit more from the adoption of robotic services. Further analyses showed how multi-modal modes of interaction support more flexible and natural elderly–robot interaction, make clear the benefits for the users and, therefore, increase its acceptability. Finally, we provide insights and lessons learned from the extensive experimentation, which, to the best of our knowledge, is one of the largest experimentation of a multi-robot multi-service system so far
Robotic Faces: Exploring Dynamical Patterns of Social Interaction between Humans and Robots
Thesis (Ph.D.) - Indiana University, Informatics, 2015The purpose of this dissertation is two-fold: 1) to develop an empirically-based design for an interactive robotic face, and 2) to understand how dynamical aspects of social interaction may be leveraged to design better interactive technologies and/or further our understanding of social cognition.
Understanding the role that dynamics plays in social cognition is a challenging problem. This is particularly true in studying cognition via human-robot interaction, which entails both the natural social cognition of the human and the “artificial intelligence” of the robot. Clearly, humans who are interacting with other humans (or even other mammals such as dogs) are cognizant of the social nature of the interaction – their behavior in those cases differs from that when interacting with inanimate objects such as tools. Humans (and many other animals) have some awareness of “social”, some sense of other agents. However, it is not clear how or why.
Social interaction patterns vary across culture, context, and individual characteristics of the human interactor. These factors are subsumed into the larger interaction system, influencing the unfolding of the system over time (i.e. the dynamics). The overarching question is whether we can figure out how to utilize factors that influence the dynamics of the social interaction in order to imbue our interactive technologies (robots, clinical AI, decision support systems, etc.) with some "awareness of social", and potentially create more natural interaction paradigms for those technologies.
In this work, we explore the above questions across a range of studies, including lab-based experiments, field observations, and placing autonomous, interactive robotic faces in public spaces. We also discuss future work, how this research relates to making sense of what a robot "sees", creating data-driven models of robot social behavior, and development of robotic face personalities
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