Interactive Concept Acquisition for Embodied Artificial Agents

An important capacity that is still lacking in intelligent systems such as robots, is the ability to use concepts in a human-like manner. Indeed, the use of concepts has been recognised as being fundamental to a wide range of cognitive skills, including classification, reasoning and memory. Intricately intertwined with language, concepts are at the core of human cognition; but despite a large body or research, their functioning is as of yet not well understood. Nevertheless it remains clear that if intelligent systems are to achieve a level of cognition comparable to humans, they will have to posses the ability to deal with the fundamental role that concepts play in cognition. A promising manner in which conceptual knowledge can be acquired by an intelligent system is through ongoing, incremental development. In this view, a system is situated in the world and gradually acquires skills and knowledge through interaction with its social and physical environment. Important in this regard is the notion that cognition is embodied. As such, both the physical body and the environment shape the manner in which cognition, including the learning and use of concepts, operates. Through active partaking in the interaction, an intelligent system might influence its learning experience as to be more effective. This work presents experiments which illustrate how these notions of interaction and embodiment can influence the learning process of artificial systems. It shows how an artificial agent can benefit from interactive learning. Rather than passively absorbing knowledge, the system actively partakes in its learning experience, yielding improved learning. Next, the influence of embodiment on perception is further explored in a case study concerning colour perception, which results in an alternative explanation for the question of why human colour experience is very similar amongst individuals despite physiological differences. Finally experiments, in which an artificial agent is embodied in a novel robot that is tailored for human-robot interaction, illustrate how active strategies are also beneficial in an HRI setting in which the robot learns from a human teacher

Social Robots to enhance therapy and interaction for children: From the design to the implementation "in the wild"

En les últimes dues dècades els robots socials s'han convertit en un camp emergent en el qual encara hi ha molt per fer. Aquest camp requereix coneixements en mecànica, control, intel·ligència artificial, sistemes, etc., però també en psicologia, disseny, ètica, etc. El nostre grup de recerca de perfil interdisciplinari ha estat treballant en el disseny de robots socials en diferents aplicacions per a nens amb necessitats especials. L'objectiu d'aquesta tesi és investigar diferents escenaris en teràpia o educació on els robots socials podrien ser una eina útil per als nens. Es van realitzar 4 estudis amb diferents propòsits: (1) dissenyar activitats amb robòtica de LEGO per avaluar el comportament social dels nens amb trastorn de l'espectre autista (TEA) (entre companys i amb adults) i analitzar la seva efectivitat, (2) dissenyar un robot social per recuperar les funcionalitats més afectades a causa de traumatismes cranioencefàlics (TCE) en nens i veure l'eficàcia del tractament, (3) proporcionar un robot mascota per alleujar els sentiments d'ansietat, solitud i estrès en nens hospitalitzats, i (4) comprovar com un robot amb comportament social i amb una personalització versus robots sense aquestes característiques mostra diferències en termes d'interacció amb nens i, per tant, pot ajudar en l'efectivitat de diferents tractaments com hem esmentat anteriorment. Els resultats van revelar diferents resultats depenent de l'aplicació: (1) efectivitat amb la plataforma robòtica social que vam dissenyar en el tractament neuropsicològic per a aquells nens afectats per TCE, (2) eficàcia amb les activitats de robòtica de LEGO dissenyades per un grup de terapeutes en termes de millora d'habilitats socials (3) un efecte positiu entre els mediadors i facilitadors de la interacció i les relacions entre els diferents agents involucrats en el procés de la cura: pacients hospitalitzats, familiars, voluntaris i personal clínic, i (4) una interacció diferent, en termes de temps, entre els dos grups durant període de dues setmanes.En las últimas dos décadas los robots sociales se han convertido en un campo emergente en el que todavía hay mucho por hacer. Este campo requiere conocimientos en mecánica, control, inteligencia artificial, sistemas, etc., pero también en psicología, diseño, ética, etc. Nuestro grupo de investigación de perfil interdisciplinar ha estado trabajando en el diseño de robots sociales en diferentes aplicaciones para niños con necesidades especiales. El objetivo de esta tesis es investigar diferentes escenarios en terapia o educación donde los robots sociales podrían ser una herramienta útil para los niños. Se realizaron 4 estudios con diferentes propósitos: (1) diseñar actividades con robótica de LEGO para evaluar el comportamiento social de los niños con trastorno del espectro autista (TEA) (entre compañeros y con adultos) y analizar su efectividad, (2) diseñar un robot social para recuperar las funcionalidades más afectadas a causa de traumatismos craneoencefálicos (TCE) en niños y ver la eficacia del tratamiento, (3) proporcionar un robot mascota para aliviar los sentimientos de ansiedad, soledad y estrés en niños hospitalizados, y (4) comprobar como un robot con comportamiento social y con una personalización versus robots sin esas características muestra diferencias en términos de interacción con niños y, por tanto, puede ayudar en la efectividad de diferentes tratamientos como mencionamos anteriormente. Los resultados revelaron diferentes resultados dependiendo de la aplicación: (1) efectividad con la plataforma robótica social que diseñamos en el tratamiento neuropsicológico para aquellos niños afectadas por TCE, (2) eficacia con las actividades de robótica de LEGO diseñadas por un grupo de terapeutas en términos de mejora de habilidades sociales (3) un efecto positivo entre los mediadores y facilitadores de la interacción y las relaciones entre los diferentes agentes involucrados en el proceso del cuidado: pacientes hospitalizados, familiares, voluntarios y personal clínico, y (4) una interacción diferente, en términos de tiempo, entre ambos grupos en el promedio de un período de dos semanas.Over the past two decades social robots have become an emerging field where there are many things still to work on. This field not only requires knowledge in mechanics, control, artificial intelligence, systems, etc., but also in psychology, design, ethics, etc. Our multidisciplinary research group has been working on designing social robotic platforms in different applications for children with special needs. The aim of this thesis is to investigate different scenarios in therapy or education where social robots could be a useful tool for children. We ran 4 studies with different purposes: (1) to design activities with LEGO robotics to assess children with autism spectrum disorder (ASD) social behaviour (between peers and with adults) and to analyze the effectiveness, (2) to design a social robotic platform to recover the functionalities most affected by traumatic brain injuries (TBI) in children and see the effectiveness of the treatment, (3) to provide a pet robot to alleviate feelings of anxiety, loneliness and stress of long-term children inpatient and their bystanders, and (4) to verify how a robot with social behaviour and personalization verses those robots without, shows differences in terms of interaction with children and thus, helps the effectiveness of different treatments as we mention above. The results revealed different outcomes depending on the application: (1) effectiveness with the social robotic platform that we designed in neuropsychological treatment in those areas affected by TBI, (2) effectiveness with the LEGO robotics activities designed by a group of therapists in terms of improvement of the social skills and engagement, (3) a positive effect within mediators and facilitators of interaction and relationships between the different agents involved in the caring process: in-patients, relatives, volunteers and clinical staff (4) slight evidence towards a different interaction, in terms of time, between both groups in the average of a two-week period

Dangerous Dice: Playing with Artificial Intelligence and Populism during Brazil\u27s 2018 Election

With the advent of artificial intelligence and the resurgence of populism, in particular right-wing populism, we see nationalist parties that were once on the fringes of mainstream politics gain power around the world. Putting under the limelight the recent electoral victories of world leaders riding this new wave of populism, we recognize a troubling new reality: the confluence of artificial intelligence and populism allows for election interference through the spread of disinformation, propaganda, and emotionally charged populist rhetoric on social media. This tectonic shift in election tactics used by extreme nationalists presents an existential threat to democracy, with the potential to lead to a dystopian society where the will of the people is replaced by the will of algorithms. The victory of Brazilian President Jair Bolsonaro during the 2018 election and his subsequent presidency brought into focus this new dynamism of political forces: emotionally charged populist rhetoric and AI-manipulated social media. In order to combat this new danger posed by digital populists, such as the danger posed by Bolsonaro to Brazil’s democracy, new policies on artificial intelligence (AI) must be implemented to protect elections. To shape policy on this new emerging technology, it is imperative that governments understand the nature of AI and in particular, the different ways it can be weaponized during election campaigns. However, it is even more critical to inform society as a whole about the consequences AI can cause as despots can use its power to keep the people under draconian control

Artificial Intelligence and Journalism: Current Situation and Expectations in the Portuguese Sports Media

With an important presence in various sectors of activity, Artificial Intelligence has also reached journalism, mostly in the field of natural-language processing, in the detection of informational trends or in the automatic production of texts. The fact that sport is one of the first to test AI is not a coincidence: it is a subject in which there is a lot of information online and where data is essential, so it is simpler to resort to natural language processing to transform them in texts with little or no human intervention; this work sought to understand if Artificial Intelligence is already used in Portuguese sports media, but also in mainstream media sports sections, whether they are newspapers, radios, TVs or online natives. A survey was sent only to decision-makers, that is, editors and coordinators. The study seeks to understand to what extent journalists expect AI to help journalism, what are the greatest difficulties of its use and what threats it represents. We can conclude that Portuguese sports journalism is aware of the potential of AI, although for now it is not used in newsrooms due to economic and professional constraints.info:eu-repo/semantics/publishedVersio

Program and Abstracts from the Celebration of Student Scholarship, 2017

Program and Abstracts from the Celebration of Student Scholarship on April 26, 2017

Strategies for Combining e-Learning and Serious Games

Analisar as múltiplas valências dos sistemas de aprendizagem em e-learning constitui um desafio. A educação e a comunicação estão em constante (r)evolução. Os fenómenos da globalização afetam de forma direta e/ou indireta a maioria das áreas da atividade humana e os sistemas de ensino aprendizagem não são exceção. A relação entre a utilização de ferramentas e as estratégias digitais é um ponto fulcral desta dissertação. Nesta dissertação doutoral teve como objeto a contextualização e problematização das diferentes estratégias na utilização de game-based na aprendizagem e estratégias de utilização do e-learning. A utilização de jogos sérios no âmbito das aprendizagens digitais em Portugal não é pratica comum no contexto educativo. Assim, esta dissertação foi desenvolvida para a definição de estratégias de utilização dos jogos sérios e e-learning, propondo uma utilização pedagógica dos jogos sérios em sala de aula por forma a motivar e consolidar conhecimentos adquiridos. A construção de jogos sérios com o intuito de corresponder às necessidades foi o objeto de análise da experiência controlada. O jogo sério “Alpha Patrol” foi conceptualizado, desenvolvido e testado sob responsabilidade do Centro de Investigação para Tecnologias Interactivas. O projeto de investigação envolveu diferentes etapas da investigação de forma a adoptar uma estratégia de análise, que por vezes, se mostrou difícil e ingrata. Investigar e desenvolver jogos sérios em Portugal confronta-se com ambientes indiferentes ou mesmo hostis. O preconceito de jogar (em especial no espaço de sala de aula) ainda existe. No estudo de caso que a dissertação apresenta e desenvolve foi decidido que, face a algumas limitações sociais e culturais, o objecto digital a ser analisado apresenta-se uma estrutura híbrida: livro e jogo dele extraído. A experiência controlada permitiu definir os parâmetros sobre o jogo sério criado, os elementos de motivação, a pertinência na utilização de diferentes estratégias como o livro, os quizzes e as medalhas de aprendizagem.To analyze multiple valences of learning systems in e-Learning is a challenge. Education and communication are in constant (r)evolution. The phenomena of globalization affect directly and/or indirectly most areas of human activity and learning educational systems are no exception. This doctoral dissertation focuses on the context and problematization of different strategies in the use of game-based learning and the use of e-learning strategies. The relationship between the use of tools and digital strategies is a key point of this thesis. The use of serious games in the digital learning context in Portugal is not a common practice in the educational context. Thus, this thesis was developed to define the use of elearning and serious games strategies, proposing a pedagogical approach to the use of serious games in the classroom in order to motivate and consolidate knowledge acquisition. The construction of serious games in order to meet the identified needs was the object of analysis of the controlled experiment. The serious game "Alpha Patrol" was conceptualized, developed and tested under the responsibility of the Research Center for Interactive Technologies. The research project involved different stages of the investigation in order to adopt a strategy of analysis, which sometimes proved to be difficult. Research and develop serious games in Portugal is often faced with indifference or even hostile environments. Prejudice to play as a form of knowledge acquisition (especially in the classroom) still exists. With this in mind, in the case study it was decided that the digital object had to present a hybrid structure: a book and the serious game. The controlled experiment allowed to set the parameters for the serious game created, the motivation elements, the relevance of using different strategies like the book, quizzes and learning medals

“Be a Pattern for the World”: The Development of a Dark Patterns Detection Tool to Prevent Online User Loss

Dark Patterns are designed to trick users into sharing more information or spending more money than they had intended to do, by configuring online interactions to confuse or add pressure to the users. They are highly varied in their form, and are therefore difficult to classify and detect. Therefore, this research is designed to develop a framework for the automated detection of potential instances of web-based dark patterns, and from there to develop a software tool that will provide a highly useful defensive tool that helps detect and highlight these patterns

Haruki Murakami’s Legal Trilogy: A Paradigm of the Postmodern Lawyer

My article begins by exploring the negative effects that The Paper Chase’s Hart has had on the legal profession due to the modernist world that Hart inhabits. Next, I analyze the effects of modernism on the legal community though the legal trilogy of postmodern author Murakami. First, I use Murakami’s short stories, The Second Bakery Attack and The Wind-up Bird and Tuesday’s Women, to analyze the postmodern condition and compare it with the problems which many lawyers suffer. Secondly, I look at the stifling nature of formalism in the law, and examine Murakami’s combination of the mimetic with the formulaic in the novel The Wind-up Bird Chronicle as a potential remedy for formalism and the problems it causes. I conclude with an assessment of the lessons that the legal world can learn from Murakami’s legal trilogy

Minding the Gap: Computing Ethics and the Political Economy of Big Tech

In 1988 Michael Mahoney wrote that “[w]hat is truly revolutionary about the computer will become clear only when computing acquires a proper history, one that ties it to other technologies and thus uncovers the precedents that make its innovations significant” (Mahoney, 1988). Today, over thirty years after this quote was written, we are living right in the middle of the information age and computing technology is constantly transforming modern living in revolutionary ways and in such a high degree that is giving rise to many ethical considerations, dilemmas, and social disruption. To explore the myriad of issues associated with the ethical challenges of computers using the lens of political economy it is important to explore the history and development of computer technology