1,720,971 research outputs found
Computational Models of Cognitive and Affective Theory of Mind
No full textTheory of Mind is described as the capability to attribute mental states to oneself and others, and it can be essential for robots to favor more collaborative, adaptive, and emotionally appropriate behaviors when they are deployed in human-centered environments. In this work, we survey existing methodologies to introduce ToM in Human-Robot Interaction, focusing on two main formalizations: Cognitive ToM, focusing on reasoning about beliefs and intentions in a more task oriented way, and Affective ToM, which requires the agent to recognize and adapt to others' emotional states. While both approaches have advanced robot adaptability and user engagement, they are often developed in isolation. For this reason, we will discuss the need for integrated models that combine cognitive and affective reasoning, and outline future directions for more socially intelligent and emotionally aware robotic systems
Assessment of Distraction and the Impact on Technology Acceptance of Robot Monitoring Behaviour in Older Adults Care
Full text linkPeople's successful coexistence with robots strictly depends on people's acceptance of robots' presence in their daily activities. This is particularly relevant when the robot's actions may interfere with or intrude on people's activities, creating discomfort and possible rejection. We believe that people's acceptance of a robot may vary depending on the activities they are involved in. In this study, we investigate the impact of a robot's actions on people's engagement in an activity while the robot has the task of monitoring them. We observed the behaviours of 18 older adults with respect to the robot while they were carrying out tasks that require different cognitive workloads (e.g., working at the PC, talking on the phone). We used subjective and objective metrics, such as social cues, to evaluate people's engagement in the robot and their disengagement in their own tasks. We observed that people were distracted by the robot's behaviours based on the cognitive loads required by their activity. Our results show that variation in people's engagement in the robot and the task is affected by their perception of the usefulness of and trust in the robot, and by individuals' personality traits and acceptance of the robot. People with higher trust in the robot, and a higher degree of conscientiousness and emotional stability, tend to continue with their task, paying less attention to the robot. We observed, in contrast, that a robot perceived as a social entity caught more easily their attention when people have a higher extroverted personality. Our findings also showed that variations in the affective and emotional demeanour of the participants are a predictor of their distraction to an external observer
Effects of Incoherence in Multimodal Explanations of Robot Failures
No full textProviding explanations of a robot's behavior is a key enabler of trust in robots. Such explanations should be intuitive to people who are not experts in robotics. Prior research suggests that using multiple modalities to deliver explanations improves clarity. However, current methods for generating multimodal explanations neither assess nor ensure the coherence of the information across modalities. Here, we present an experiment to understand the effect of possible incoherence in multimodal explanations. We perform a user study asking participants to observe a series of robot failures and predict the reason for failure when provided with a controlled variation of multimodal explanations. Specifically, we present a methodology to compare incoherent and coherent explanations, aiming to understand their impact on perceiving robot failures
The Disappearing Robot: An Analysis of Disengagement and Distraction during Non-Interactive Tasks
No full textAn Antropomorphic Robot with ChatGPT for Learning Activities: The Teachers' Perspective
No full textWith the advance in artificial intelligence, the use of robots during learning activities has attracted great interest. Since teachers are the most involved during the program of educational activities, is crucial to involve them during the design process of such activities involving new technologies. Our research seeks to examine the impact of incorporating ChatGPT on teachers' perception of social robotics in educational settings. The aim is to explore teachers' perspective on the use of social robots during learning activities. To achieve this, we enrolled 16 educators from Milan with over 5 years of teaching experience across three distinct school levels (4 from kindergarten, 6 from primary school, and 6 from middle school). We gathered insights from teachers of varying grade levels on the integration of social robots into their teaching practices. The study methodology involves two sessions with the teachers: the first session consists of a semi-structured interview, a demonstration of the NAO humanoid robot using the software Chroregraphe, and two role-playing activities with the robot to help teachers understand how it can be used in teaching activities; the second session includes a “635-brainwriting” activity and a focus group discussion about the use of educational robots in the classroom, with an additional focus group discussion after observing an experimenter interact with NAO using ChatGPT. The NVIVO program is used for transcription and labeling to identify units of analysis, which are be organized into macro categories. The purpose of the study is to explore the potential use of educational robots in teaching activities and to identify possible scenarios where these robots can be used to promote soft skills such as task orientation, problem solving, creativity, empathy, and conflict management. By using a combination of semi-structured interviews, role-playing activities, brainwriting, and focus group discussions, the study aims to generate rich data that can be analyzed qualitatively to provide insights into the potential use and effectiveness of educational robots in the classroom
Seeking and Approaching Users in Domestic Environments: Testing a Reactive Approach on Two Commercial Robots
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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