Global ETD Search

61	Social Dimensions of Robotic versus Virtual Embodiment, Presence and Influence Thellman, Sam January 2016 (has links) Robots and virtual agents grow rapidly in behavioural sophistication and complexity. They become better learners and teachers, cooperators and communicators, workers and companions. These artefacts – whose behaviours are not always readily understood by human intuition nor comprehensibly explained in terms of mechanism – will have to interact socially. Moving beyond artificial rational systems to artificial social systems means having to engage with fundamental questions about agenthood, sociality, intelligence, and the relationship between mind and body. It also means having to revise our theories about these things in the course of continuously assessing the social sufficiency of existing artificial social agents. The present thesis presents an empirical study investigating the social influence of physical versus virtual embodiment on people's decisions in the context of a bargaining task. The results indicate that agent embodiment did not affect the social influence of the agent or the extent to which it was perceived as a social actor. However, participants' perception of the agent as a social actor did influence their decisions. This suggests that experimental results from studies comparing different robot embodiments should not be over-generalised beyond the particular task domain in which the studied interactions took place. human-robot interaction social interaction robot interaction hri social robots robot artificial agent virtual agent embodiment agent embodiment social presence social influence physical virtual interface ultimatum game robot influence decision making interaction människa–robot-interaktion interaktion social interaktion robotinteraktion sociala robotar agent robot virtuell agent fysisk virtuell kropp Human Computer Interaction
62	Learning Continuous Human-Robot Interactions from Human-Human Demonstrations Vogt, David 02 March 2018 (has links) In der vorliegenden Dissertation wurde ein datengetriebenes Verfahren zum maschinellen Lernen von Mensch-Roboter Interaktionen auf Basis von Mensch-Mensch Demonstrationen entwickelt. Während einer Trainingsphase werden Bewegungen zweier Interakteure mittels Motion Capture erfasst und in einem Zwei-Personen Interaktionsmodell gelernt. Zur Laufzeit wird das Modell sowohl zur Erkennung von Bewegungen des menschlichen Interaktionspartners als auch zur Generierung angepasster Roboterbewegungen eingesetzt. Die Leistungsfähigkeit des Ansatzes wird in drei komplexen Anwendungen evaluiert, die jeweils kontinuierliche Bewegungskoordination zwischen Mensch und Roboter erfordern. Das Ergebnis der Dissertation ist ein Lernverfahren, das intuitive, zielgerichtete und sichere Kollaboration mit Robotern ermöglicht. info:eu-repo/classification/ddc/004 ddc:004
63	Moraliska bedömningar av autonoma systems beslut / Moral judgments of autonomous intelligent systems Lindelöf, Gabriel Trim Olof January 2020 (has links) Samhällsutvecklingen går i en riktning där människor arbetar i allt närmare samarbete med artificiella agenter. För att detta samarbete ska vara på användarens villkor är det viktigt att förstå hur människor uppfattar och förhåller sig till dessa system. Hur dessa agenter bedöms moraliskt är en komponent i denna förståelse. Malle m.fl. (2015) utförde en av de första studierna kring hur normer och skuld appliceras på människa respektive robot. I samma artikel efterfrågades mer forskning kring vilka faktorer hos agenter som påverkar de moraliska bedömningarna. Föreliggande studie tog avstamp i denna frågeställning och avsåg att undersöka hur moralisk godtagbarhet och skuldbeläggning skiljde sig beroende på om agenten var en person, en humanoid robot eller ett autonomt intelligent system utan kropp (AIS). Ett mellangrupps-experiment (N = 119) användes för att undersöka hur agenterna bedömdes för sina beslut i tre olika moraliska dilemman. Deltagares rättfärdigaden bakom bedömningar samt medveten hållning utforskades som förklaringsmodell av skillnader. Medveten hållning avser Dennetts (1971) teori kring huruvida en agent förstås utifrån mentala egenskaper. Resultaten visade att person och robot erhöll liknande godtagbarhet för sina beslut medan AIS fick signifikant lägre snitt. Graden skuld som tillskrevs skiljde sig inte signifikant mellan agenterna. Analysen av deltagares rättfärdiganden gav indikationer på att skuldbedömningarna av de artificiella agenterna inte grundade sig i sådan information som antagits ligga till grund för denna typ av bedömningar. Flera rättfärdiganden påpekade också att det var någon annan än de artificiella agenterna som bar skulden för besluten. Vidare analyser indikerade på att deltagare höll medveten hållning mot person i störst utsträckning följt av robot och sedan AIS. Studien väcker frågor kring huruvida skuld som fenomen går att applicera på artificiella agenter och i vilken utsträckning distribuerad skuld är en faktor när artificiella agenter bedöms. Artificial intelligence HRI Moral judgments Blame Permissibility Intentional stance Humanoid robot Autonomous intelligent systems Self-driving cars Moral dilemmas Moral psychology Moral machine Artificiell intelligens Människa-robotinteraktion Moraliska bedömningar Moraliska dilemman Skuld Klander Distribuerad skuld Humanoid robot Medveten hållning Självkörande bilar Moralpsykologi Human Computer Interaction
64	Towards Socially Intelligent Robots in Human Centered Environment / Vers des robots socialement intelligents en environnement humain Pandey, Amit kumar 20 June 2012 (has links) Bientôt, les robots ne travailleront plus de manière isolée mais avec nous. Ils entrent peu à peu dans notre vie de tous les jours pour coopérer, assister, aider, servir, apprendre, enseigner ou même jouer avec l'homme. Dans ce contexte, nous considérons que ce ne doit pas être à l'homme de s'adapter au robot. Au contraire, le robot doit être capable d'intégrer, dans ses stratégies de planification et de décision, différents facteurs d'effort et de confort et de prendre en compte les préférences et désirs de l'homme ainsi que les normes sociales de son environnement. Tout en respectant les principes de sécurité réglementaire, le robot doit se comporter, naviguer, manipuler, communiquer et apprendre d'une manière qui soit pertinente, acceptée et compréhensible par l'homme. Cette thèse explore et définit les ingrédients clés nécessaires au robot pour développer une telle intelligence socio-cognitive. Elle définit également un cadre pour l'interaction homme-robot permettant de s'attaquer à ces challenges dans le but de rendre le robot socialement intelligent / Robots will no longer be working isolated from us. They are entering into our day-to-day life to cooperate, assist, help, serve, learn, teach and play with us. In this context, it is important that because of the presence of robots, the human should not be on compromising side. To achieve this, beyond the basic safety requirements, robots should take into account various factors ranging from human’s effort, comfort, preferences, desire, to social norms, in their various planning and decision making strategies. They should behave, navigate, manipulate, interact and learn in a way, which is expected, accepted, and understandable by us, the human. This thesis begins by exploring and identifying the basic yet key ingredients of such socio-cognitive intelligence. Then we develop generic frameworks and concepts from HRI perspective to address these additional challenges, and to elevate the robots capabilities towards being socially intelligent Interaction homme-robot Robots sociaux Prise de perspective Analyse d'affordance Analyse d'effort Navigation socialement acceptable Plans partagés coopératifs Comportement proactif Apprentissage par demonstration Human Robot Interaction (HRI) Social Robot Perspective Taking Affordance Analysis Effort Analysis Mightability Analysis Human Robot Interactive Manipulation Socially Aware Navigation Grounding Interaction Grounding Changes Cooperative Shared Planning Proactive Robot Learning from Demonstration 629.89
65	Interaction Design for Remote Control of Military Unmanned Ground Vehicles Saleh, Diana January 2021 (has links) The fast technology development for military unmanned ground vehicles (UGVs) has led to a considerable demand to explore the soldier’s role in an interactive UGV system. This thesis explores how to design interactive systems for UGVs for infantry soldiers in the Swedish Armed Force. This was done through a user-centered design approach in three steps; (1) identifying the design drivers of the targeted military context through qualitative observations and user interviews, (2) using the design drivers to investigate concepts for controlling the UGV, and (3) create and evaluate a prototype of an interactive UGV system design. Results from interviews indicated that design drivers depend on the physical and psychological context of the intended soldiers. In addition, exploring the different concepts showed that early conceptual designs helped the user express their needs of a non-existing system. Furthermore, the results indicate that an interactive UGV system does not necessarily need to be at the highest level of autonomy in order to be useful for the soldiers on the field. The final prototype of an interactive UGV system was evaluated using a demonstration video, a Technology Acceptance Model (TAM), and semi-structured user interviews. Results from this evaluation suggested that the soldiers see the potential usefulness of an interactive UGV system but are not entirely convinced. In conclusion, this thesis argues that in order to design an interactive UGV system, the most critical aspect is the soldiers’ acceptance of the new system. Moreover, for soldiers to accept the concept of military UGVs, it is necessary to understand the context of use and the needs of the soldiers. This is done by involving the soldiers already in the conceptual design process and then throughout the development phases. Human Robot Interaction (HRI) Design Unmanned Ground Vehicles (UGV) Autonomous Systems Human Computer Interaction (HCI) Information Systems Interaction Design User Experience (UX) Unmanned Vehicles (UV) Autonomous Vehicles Interactive Systems User Interface (UI) Research Through Design Military Teleoperation Swedish Armed Forces Human Computer Interaction Information Systems, Social aspects Interaction Technologies Interaktionsteknik
66	Enhanching the Human-Team Awareness of a Robot Wåhlin, Peter January 2012 (has links) The use of autonomous robots in our society is increasing every day and a robot is no longer seen as a tool but as a team member. The robots are now working side by side with us and provide assistance during dangerous operations where humans otherwise are at risk. This development has in turn increased the need of robots with more human-awareness. Therefore, this master thesis aims at contributing to the enhancement of human-aware robotics. Specifically, we are investigating the possibilities of equipping autonomous robots with the capability of assessing and detecting activities in human teams. This capability could, for instance, be used in the robot's reasoning and planning components to create better plans that ultimately would result in improved human-robot teamwork performance. we propose to improve existing teamwork activity recognizers by adding intangible features, such as stress, motivation and focus, originating from human behavior models. Hidden markov models have earlier been proven very efficient for activity recognition and have therefore been utilized in this work as a method for classification of behaviors. In order for a robot to provide effective assistance to a human team it must not only consider spatio-temporal parameters for team members but also the psychological.To assess psychological parameters this master thesis suggests to use the body signals of team members. Body signals such as heart rate and skin conductance. Combined with the body signals we investigate the possibility of using System Dynamics models to interpret the current psychological states of the human team members, thus enhancing the human-awareness of a robot. / Användningen av autonoma robotar i vårt samhälle ökar varje dag och en robot ses inte längre som ett verktyg utan som en gruppmedlem. Robotarna arbetar nu sida vid sida med oss och ger oss stöd under farliga arbeten där människor annars är utsatta för risker. Denna utveckling har i sin tur ökat behovet av robotar med mer människo-medvetenhet. Därför är målet med detta examensarbete att bidra till en stärkt människo-medvetenhet hos robotar. Specifikt undersöker vi möjligheterna att utrusta autonoma robotar med förmågan att bedöma och upptäcka olika beteenden hos mänskliga lag. Denna förmåga skulle till exempel kunna användas i robotens resonemang och planering för att ta beslut och i sin tur förbättra samarbetet mellan människa och robot. Vi föreslår att förbättra befintliga aktivitetsidentifierare genom att tillföra förmågan att tolka immateriella beteenden hos människan, såsom stress, motivation och fokus. Att kunna urskilja lagaktiviteter inom ett mänskligt lag är grundläggande för en robot som ska vara till stöd för laget. Dolda markovmodeller har tidigare visat sig vara mycket effektiva för just aktivitetsidentifiering och har därför använts i detta arbete. För att en robot ska kunna ha möjlighet att ge ett effektivt stöd till ett mänskligtlag måste den inte bara ta hänsyn till rumsliga parametrar hos lagmedlemmarna utan även de psykologiska. För att tyda psykologiska parametrar hos människor förespråkar denna masteravhandling utnyttjandet av mänskliga kroppssignaler. Signaler så som hjärtfrekvens och hudkonduktans. Kombinerat med kroppenssignalerar påvisar vi möjligheten att använda systemdynamiksmodeller för att tolka immateriella beteenden, vilket i sin tur kan stärka människo-medvetenheten hos en robot. / <p>The thesis work was conducted in Stockholm, Kista at the department of Informatics and Aero System at Swedish Defence Research Agency.</p> robotics Artificial Intelligence AI System Dynamics Wireless Body Area Network WBAN sensors Psychology physiology human behavior Human-Robot-Interaction HRI robot Human-Team awareness human-robot RapidMiner Vensim JaHMM hidden markov models HMM eclipse rcp ARFF recognizer classification cross-validation human behavior stress detection Galvanic Skin Response Heart Rate Skin Temperature Finger Temperature Electrocardiogram ECG GSR ST Pupil Diameter PD Patient monitoring GPS Data acquisition dataset data set MODERE Yerkes-Dodson SD model SD Confusion matrix spatial MOUT Java Agent robotic agent Machine Learning activity recognition team oriented robot Evaluation Decoding Learning Forward Algorithm Backward Algorithm Baum-Welch feedback loop Situation Awareness SA Shared Mental Models SMM
67	A Low-Cost Social Companion Robot for Children with Autism Spectrum Disorder Velor, Tosan 11 November 2020 (has links) Robot assisted therapy is becoming increasingly popular. Research has proven it can be of benefit to persons dealing with a variety of disorders, such as Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD), and it can also provide a source of emotional support e.g. to persons living in seniors’ residences. The advancement in technology and a decrease in cost of products related to consumer electronics, computing and communication has enabled the development of more advanced social robots at a lower cost. This brings us closer to developing such tools at a price that makes them affordable to lower income individuals and families. Currently, in several cases, intensive treatment for patients with certain disorders (to the level of becoming effective) is practically not possible through the public health system due to resource limitations and a large existing backlog. Pursuing treatment through the private sector is expensive and unattainable for those with a lower income, placing them at a disadvantage. Design and effective integration of technology, such as using social robots in treatment, reduces the cost considerably, potentially making it financially accessible to lower income individuals and families in need. The Objective of the research reported in this manuscript is to design and implement a social robot that meets the low-cost criteria, while also containing the required functions to support children with ASD. The design considered contains knowledge acquired in the past through research involving the use of various types of technology for the treatment of mental and/or emotional disabilities. Autism spectrum disorder Robot Assisted Therapy Social companion robot Low-cost treatment tool for autism Amazon Alexa voice service Teddy-bear robot Technology aided intervention for autism Soft robot design Robot safety Human robot systems Social HRI robotic design Physical human-robot interaction Robot companions Education Robots Humanoid robot Motion detection robot Robotic technology Children with Autism Social skills development Voice controlled technology robot Children’s Hospital of Eastern Ontario Ottawa Children’s Treatment Centre Lexa-Bear robot Animal-like robots RaspberryPi robot design

Page generated in 0.0271 seconds