Exploring Affective Storytelling with an Embodied Agent

Author(s):  
Randy Gomez ◽  
Deborah Szapiro ◽  
Kerl Galindo ◽  
Luis Merino ◽  
Heike Brock ◽  
...  
Keyword(s):  
2021 ◽  
pp. 027836492098785
Author(s):  
Julian Ibarz ◽  
Jie Tan ◽  
Chelsea Finn ◽  
Mrinal Kalakrishnan ◽  
Peter Pastor ◽  
...  

Deep reinforcement learning (RL) has emerged as a promising approach for autonomously acquiring complex behaviors from low-level sensor observations. Although a large portion of deep RL research has focused on applications in video games and simulated control, which does not connect with the constraints of learning in real environments, deep RL has also demonstrated promise in enabling physical robots to learn complex skills in the real world. At the same time, real-world robotics provides an appealing domain for evaluating such algorithms, as it connects directly to how humans learn: as an embodied agent in the real world. Learning to perceive and move in the real world presents numerous challenges, some of which are easier to address than others, and some of which are often not considered in RL research that focuses only on simulated domains. In this review article, we present a number of case studies involving robotic deep RL. Building off of these case studies, we discuss commonly perceived challenges in deep RL and how they have been addressed in these works. We also provide an overview of other outstanding challenges, many of which are unique to the real-world robotics setting and are not often the focus of mainstream RL research. Our goal is to provide a resource both for roboticists and machine learning researchers who are interested in furthering the progress of deep RL in the real world.


2020 ◽  
Vol 6 ◽  
pp. e315
Author(s):  
Isabel S. Fitton ◽  
Daniel J. Finnegan ◽  
Michael J. Proulx

Massive Open Online Courses are a dominant force in remote-learning yet suffer from persisting problems stemming from lack of commitment and low completion rates. In this initial study we investigate how the use of immersive virtual environments for Power-Point based informational learning may benefit learners and mimic traditional lectures successfully. We examine the role of embodied agent tutors which are frequently implemented within virtual learning environments. We find similar performance on a bespoke knowledge test and metrics for motivation, satisfaction, and engagement by learners in both real and virtual environments, regardless of embodied agent tutor presence. Our results raise questions regarding the viability of using virtual environments for remote-learning paradigms, and we emphasise the need for further investigation to inform the design of effective remote-learning applications.


10.28945/3018 ◽  
2006 ◽  
Author(s):  
Anton Nijholt

There are many ways to present information to visitors and users of 2D and 3D interface environments. In these virtual environments we can provide visitors with simulations of real environments, including simulations of presenters in such environments (a lecturer, a sales agent, a receptionist, a museum guide) and including audience participation in these environments. Our research aims at generating presentations from available multimedia information. In particular, we would like to see the generation of presentations by embodied conversational agents that employ verbal and nonverbal capabilities. In the past we have seen the introduction of embodied agents and robots that take the role of a museum guide, a news presenter, a teacher, a receptionist, or someone who is trying to sell insurance, houses or tickets. In all these cases the embodied agent needs to explain and to describe. The automatic generation of presentations and presentation agents from information sources is still too ambitious a task. Therefore we look at research from the perspective of the design of tools that can support presenters or can help to provide natural access to presentations and lectures. Can we use a given collection of sheets and maybe other accessible media sources to design, create and generate an embodied presenter? Among others we discuss manual annotation of available information and the way in which presenter agents can use it. Clearly, the development of tools for these purposes is a first step towards automating the generation of presentations and presentation agents.


Information ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 249 ◽  
Author(s):  
Kathryn Blackmond Laskey

Causality is fundamental to agency. Intelligent agents learn about causal relationships by interacting with their environments and use their causal knowledge to choose actions intended to bring about desired outcomes. This paper considers a causal question that is central to the very meaning of agency, that of how a physically embodied agent effects intentional action in the world. The prevailing assumption is that both biological and computer agents are automatons whose decisions are determined by the physical processes operating in their information processing apparatus. As an alternative hypothesis, this paper presents a mathematical model of causally efficacious agency. The model is based on Stapp’s theory of efficacious choice in physically embodied agents. Stapp’s theory builds on a realistic interpretation of von Neumann’s mathematical formalization of quantum theory. Because it is consistent with the well-established precepts of quantum theory, Stapp’s theory has been dismissed as metaphysical and unfalsifiable. However, if taken seriously as a model of efficacious choice in biological agents, the theory does have empirically testable implications. This paper formulates Stapp’s theory as an interventionist causal theory in which interventions are ascribed to agents and can have macroscopically distinguishable effects in the world. Empirically testable implications of the theory are discussed and a path toward scientific evaluation is proposed. Implications for artificial intelligence are considered.


2020 ◽  
Vol 123 (1) ◽  
pp. 420-427 ◽  
Author(s):  
Alessandro Monti ◽  
Giuseppina Porciello ◽  
Gaetano Tieri ◽  
Salvatore M. Aglioti

Recent theories posit that physiological signals contribute to corporeal awareness, the basic feeling that one has a body (body ownership) that acts according to one’s will (body agency) and occupies a specific position (body location). Combining physiological recordings with immersive virtual reality, we found that an ecological mapping of real respiratory patterns onto a virtual body illusorily changes corporeal awareness. This new way of inducing a respiratory bodily illusion, called “embreathment,” revealed that breathing is almost as important as visual appearance for inducing body ownership and more important than any other cue for body agency. These effects were moderated by individual levels of interoception, as assessed through a standard heartbeat-counting task and a new “pneumoception” task. By showing that respiratory, visual, and spatial signals exert a specific and weighted influence on the fundamental feeling that one is an embodied agent, we pave the way for a comprehensive hierarchical model of corporeal awareness. NEW & NOTEWORTHY Our body is the only object we sense from the inside; however, it is unclear how much inner physiology contributes to the global sensation of having a body and controlling it. We combine respiration recordings with immersive virtual reality and find that making a virtual body breathe like the real body gives an illusory sense of ownership and agency over the avatar, elucidating the role of a key physiological process like breathing in corporeal awareness.


Author(s):  
Julian C. Hughes ◽  
Richard Cheston

Old age brings challenges which affect the process and content of psychotherapy; not that older people should be thought of as being the same, for they are individual. There are particular cohort effects and contexts that might affect the ways in which older people react to stressors in old age. Cognitive impairment and dementia will sometimes be a consideration. Good psychotherapeutic approaches to older people tend to reflect good ethical approaches. These can be described by the main ethical theories: utilitarianism, deontology, and virtue ethics. But a better and more nuanced way is perhaps to use ethical approaches that stress narrative, communication, interpretation, and meaning, as well as care and relationships. These approaches seem more realistic: they accommodate the real situation for the person concerned, recognizing him or her as a situated and embodied agent. This chapter uses vignettes to highlight the usefulness of these nuanced approaches to ethical problems.


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