A Framework for a Robot's Emotion Engine

An Emotions Engine is a modelling and a simplification of the Brain circuitry that generate emotions. It should produce a variety of responses including rapid reaction-like emotions as well as slower moods. We introduce such an engine and then propose a framework for its translated equivalent for a robot. We then define key issues that need addressing and provide guidelines via the framework, for its implementation onto an actual robot’s Emotions Engine

A Framework for a Robot's Emotion Engine

An Emotions Engine is a modelling and a simplification of the Brain circuitry that generate emotions. It should produce a variety of responses including rapid reaction-like emotions as well as slower moods. We introduce such an engine and then propose a framework for its translated equivalent for a robot. We then define key issues that need addressing and provide guidelines via the framework, for its implementation onto an actual robot’s Emotions Engine

A Framework for a Robot's Emotion Engine

An Emotions Engine is a modelling and a simplification of the Brain circuitry that generate emotions. It should produce a variety of responses including rapid reaction-like emotions as well as slower moods. We introduce such an engine and then propose a framework for its translated equivalent for a robot. We then define key issues that need addressing and provide guidelines via the framework, for its implementation onto an actual robot’s Emotions Engine

Robots in special education: reasons for low uptake

Purpose: This paper identifies the main reasons for low uptake of robots in Special Education, obtained from an analysis of previous studies that used robots in the area, and from interviewing Special Education teachers about the topic. Design/methodology/approach: An analysis of 18 studies that used robots in Special Education was performed, and the conclusions were complemented and compared with the feedback from interviewing 13 Special Education teachers from Spain and UK about the reasons they believed caused the low uptake of robots in Special Education classrooms. Findings: Five main reasons why Special Education schools do not normally use robots in their classrooms were identified: the inability to acquire the system due to its price or availability; its difficulty of use; the low range of activities offered; the limited ways of interaction offered; and the inability to use different robots with the same software. Originality/value: Previous studies focused on exploring the advantages of using robots to help children with Autistic Spectrum Conditions and Learning Disabilities. This study takes a step further and looks into the reasons why, despite the benefits shown, robots are rarely used in real-life settings after the relevant study ends. The authors also present a potential solution to the issues found: involving end users in the design and development of new systems using a user-centred design approach for all the components, including methods of interaction, learning activities, and the most suitable type of robots

Socially assistive robot for pediatric care

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2012.Cataloged from PDF version of thesis.Includes bibliographical references (p. 79-81).The purpose of this thesis is to present the design and evaluation of a new type of socially assistive robot, one that can interact with people and collect various types of sensory input while being small enough to hold in one's arms. This project is a completely new revision of the Huggable project created by Dan Stiehl and Cynthia Breazeal, which features a new mechanical design, a revamped electronics structure, and a polished control system based off of its sister project, DragonBot (developed by Adam Setapen). This thesis describes the process of how this new design came to be, and provides extensive content on how it was designed, along with all major components that were included. An evaluation is also presented as a test run for the new Huggable, in the form of an online survey. The results, along with much of the work done with the initial prototype, showed that there is still much work to be done to be convincing as a robust research robot. Improvements are listed, as well as its future work with Boston Children's Hospital. This new design hopes to finally bring the Huggable project out into the field for actual use with people.by Kristopher B. Dos Santos.S.M

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

Towards an Emotionally Intelligent Interaction Strategy for Multimodal Embodied Conversational Agents acting as Companions

Existing Human Computer Interaction (HCI) strategies are seriously limited by current technologies. These are neither sensitive nor accurate enough to respond to users’ emotional states, the fundamental basis for effective communication in real time. This offered the challenge of investigating factors that would impact on the designing of effective and more emotionally intelligent interaction strategies for Companions. These were applied to a conceptual tool, the Affective Channel (AC), to endow Companions with emotional capabilities. This was implemented in the Wizard of Oz (WoZ) platform to evaluate Companions in real time. The WoZ is an experimental setup where existing immature technologies and a human operator combine to simulate Companion interaction with end users. In these aspects of my work is my original contribution to the HCI knowledge base.Experiments, focus groups and face to face interviews were carried out to ascertain users’ perception and expectations of virtual agents. ‘Descriptors’ thus identified formed the bases for the designing of user friendly Companions. Verbal and facial expressions data and other affective elements of effective human-companion interactionwere collected for use in the AC and the WoZ as stated above.Companion evaluations yielded the subsidiary contribution that Companions are perceived as empathetic, useful and trustworthy entities. Further, that they arouse positive emotions in children and also that they promote their learning improvement.These findings were the result of two experiments, one within subjects and one between subjects, conducted with thirty grade four pupils in a rural school in the poor Oaxaca region of Mexico

Intelligent technologies for the aging brain: opportunities and challenges

Intelligent computing is rapidly reshaping healthcare. In light of the global burden of population aging and neurological disorders, dementia and elderly care are among the healthcare sectors that are most likely to benefit from this technological revolution. Trends in artificial intelligence, robotics, ubiquitous computing, neurotechnology and other branches of biomedical engineering are progressively enabling novel opportunities for technology-enhanced care. These Intelligent Assistive Technologies (IATs) open the prospects of supporting older adults with neurocognitive disabilities, maintain their independence, reduce the burden on caregivers and delay the need for long-term care (1, 2). While technology develops fast, yet little knowledge is available to patients and health professionals about the current availability, applicability, and capability of existing IATs. This thesis proposes a state-of-the-art analysis of IATs in dementia and elderly care. Our findings indicate that advances in intelligent technology are resulting in a rapidly expanding number and variety of assistive solutions for older adults and people with neurocognitive disabilities. However, our analysis identifies a number of challenges that negatively affect the optimal deployment and uptake of IATs among target users and care institutions. These include design issues, sub-optimal approaches to product development, translational barriers between lab and clinics, lack of adequate validation and implementation, as well as data security and cyber-risk weaknesses. Additionally, in virtue of their technological novelty, intelligent technologies raise a number of Ethical, Legal and Social Implications (ELSI). Therefore, a significant portion of this thesis is devoted to providing an early ethical Technology Assessment (eTA) of intelligent technology, hence contributing to preparing the terrain for its safe and ethically responsible adoption. This assessment is primarily focused on intelligent technologies at the human-machine interface, as these applications enable an unprecedented exposure of the intimate dimension of individuals to the digital infosphere. Issues of privacy, integrity, equality, and dual-use were addressed at the level of stakeholder analysis, normative ethics and human-rights law. Finally, this thesis is aimed at providing evidence-based recommendations for guiding participatory and responsible development in intelligent technology, and delineating governance strategies that maximize the clinical benefits of IATs for the aging world, while minimizing unintended risks