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10th International Conference on affective Computing and Intelligent Interaction (ACII)

作者： Spitale, Micol Gunes, Hatice Univ Cambridge Dept Comp Sci & Technol Cambridge England

ISBN: (纸本)9781665454902

affective robotics research aims to better understand human social and emotional signals to improve humanrobot interaction (HRI), and has been widely used during the last decade in multiple application fields. Past works have demonstrated, indeed, the potential of using affective robots (i.e., that can recognize, or interpret, or process, or simulate human affects) for healthcare applications, especially wellbeing. This paper systematically review the last decade (January 2013 - May 2022) of HRI literature to identify the main features of affective robotics for wellbeing. Specifically, we focused on the types of wellbeing goals affective robots addressed, their platforms, their shapes, their affective capabilities, and their autonomy in the surveyed studies. Based on this analysis, we list a set of recommendations that emerged, and we also present a research agenda to provide future directions to researchers in the field of affective robotics for wellbeing.

关键词： survey affective computing robots affective robotics wellbeing

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affective Computing Model With Impulse Control in Internet of Things Based on affective robotics

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IEEE INTERNET OF THINGS JOURNAL 2022年第21期9卷 20815-20832页

作者： Hui, Hongwen Lin, Fuhong Yang, Lei Gong, Chao Xu, Haitao Han, Zhu Shi, Peng Univ Sci & Technol Beijing Sch Comp & Commun Engn Beijing 100083 Peoples R China Univ Sci & Technol Beijing Shunde Grad Sch Foshan 528300 Guangdong Peoples R China Univ Nevada Dept Comp Sci & Engn Reno NV 89557 USA North China Inst Comp Technol Syst Dept 4 Beijing 100083 Peoples R China Univ Houston Dept Elect & Comp Engn Houston TX 77004 USA Kyung Hee Univ Dept Comp Sci & Engn Seoul 446701 South Korea Univ Adelaide Sch Elect & Elect Engn Adelaide SA 5005 Australia

The combination of Internet of Things (IoT) and artificial intelligence (AI) technology plays an important role in many fields, especially in the field of psychology and medical treatment. This work is mainly to study an affective robotics that can serve humans emotionally based on the IoT and AI technology. The design of affective robotics is important to understand the underlying mechanisms of human behaviors in real life. These mechanisms mainly include human nonverbal behaviors and affective states, which are important but difficult to be precisely modeled. To address this challenge, we introduce a human-robot interaction (HRI) architecture, including emotion recognition, affective computing, emotion diagnosis, and emotion control. First, we propose a system model based on HRI between affective robotics and human, in order to enhance the emotional service. Then, we develop a dynamical model with affective computing and control, where we provide a mathematical formulation method based on stochastic differential equations to quantify the emotional state. Furthermore, we perform the dynamic behavior analysis of the existence, boundedness, and stability of the model solution comprehensively. Numerical results are provided to demonstrate the validity and feasibility of the proposed design techniques.

关键词： Robots Human-robot interaction affective computing Internet of Things Artificial intelligence Mathematical models Emotion recognition affective computing affective robotics emotion control human-robot interaction (HRI Internet of Things (IoT)

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Enhancing affective robotics via Human Internal State Monitoring 31

Enhancing Affective Robotics via Human Internal State Monito...

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31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) - Social, Asocial, and Antisocial Robots

作者： Staffa, Mariacarla Rossi, Silvia Univ Naples Parthenope Dept Sci & Technol Naples Italy Univ Naples Federico II Naples Italy

ISBN: (纸本)9781728188591

During the last years, many solutions have been proposed to achieve a natural Human-Robot Interaction (HRI) and Communication paving the way to new paradigms of understanding and adaptation based on mutual affective perception. Especially in human-robot social interaction, it is helpful not only that people can understand the robot's behavioral state, but also robots possess the ability to detect, interpret and adaptively react to human affective responses. Typical approaches are able to assess humans' affective responses from the observation of overt behavior. However, there are cases in which the overt observable behaviors could not match with the internal states (e.g., people with diseases compromising normal emotional responses). In such cases, having an objective measure of the users' state from `inside' is of paramount importance. This work presents an affect detection model able to provide a measure of the human affective state, with particular focus on the stress state, from the analysis of EEG users' activity during the interaction with a social humanoid robot endowed with diverse affective elicitation behaviors. We argue that monitoring the stress state of a human during HRI is necessary to adapt the robot behavior in a way to avoid possible counterproductive effects of its use.

关键词： affective robotics EEG-emotion Recognition Robotic Behavior Adaptation

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Continual Learning for affective robotics: A Proof of Concept for Wellbeing 10

Continual Learning for Affective Robotics: A Proof of Concep...

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10th International Conference on affective Computing and Intelligent Interaction (ACII)

作者： Churamani, Nikhil Axelsson, Minja Caldir, Atahan Gunes, Hatice Univ Cambridge Dept Comp Sci & Technol Cambridge England Ozyegin Univ Dept Comp Sci Istanbul Turkey

ISBN: (纸本)9781665454902

Sustaining real-world human-robot interactions requires robots to be sensitive to human behavioural idiosyncrasies and adapt their perception and behaviour models to cater to these individual preferences. For affective robots, this entails learning to adapt to individual affective behaviour to offer a personalised interaction experience to each individual. Continual Learning (CL) has been shown to enable real-time adaptation in agents, allowing them to learn with incrementally acquired data while preserving past knowledge. In this work, we present a novel framework for real-world application of CL for modelling personalised human-robot interactions using a CLbased affect perception mechanism. To evaluate the proposed framework, we undertake a proof-of-concept user study with 20 participants interacting with the Pepper robot using three variants of interaction behaviour: static and scripted, using affect-based adaptation without personalisation, and using affectbased adaptation with continual personalisation. Our results demonstrate a clear preference in the participants for CL-based continual personalisation with significant improvements observed in the robot's anthropomorphism, animacy and likeability ratings as well as the interactions being rated significantly higher for warmth and comfort as the robot is rated as significantly better at understanding how the participants feel.

关键词： Continual Learning affective robotics Wellbeing Facial Affect Human-Robot Interaction

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Investigating Positive Psychology Principles in affective robotics 8

Investigating Positive Psychology Principles in Affective Ro...

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8th International Conference on affective Computing and Intelligent Interaction (ACII)

作者： Rhim, Jimin Cheung, Anthony Pham, David Bae, Subin Zhang, Zhitian Townsend, Trista Lim, Angelica Korea Adv Inst Sci & Technol GSCT Daejeon South Korea Simon Fraser Univ Comp Sci Burnaby BC Canada

ISBN: (纸本)9781728138886

Positive emotions play a fundamental role in promoting well-being, social bonding, and encouraging people to flourish. We investigated an affective robot's potential to promote positive moods in human groups during a collaborative task. A between-subject experiment (N=39 teams, 78 participants) was conducted to compare the improvement in participants' mood and robot's impression after conducting a collaborative task with an affective robot showing either positive or neutral behaviors. We found that self-reported valence and arousal increased in human participants when interacting with the affective robot regardless of the robot's perceived mood. Additionally, we discovered that participants' likeability of the robot increased when interacting with a positive robot, while likeability decreased when interacting with a neutral robot. These results suggest that even if the evidence for emotional contagion between an affective robot and human group members is not conclusive, participants felt more positive after interacting with robots showing affective behaviors in human-robot team interactions.

关键词： human-robot team interaction affective robotics positive psychology emotional contagion mood linkage collaboration creativity

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Relieving operators' workload: Towards affective robotics in industrial scenarios

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MECHATRONICS 2018年 54卷 144-154页

作者： Landi, Chiara Talignani Villani, Valeria Ferraguti, Federica Sabattini, Lorenzo Secchi, Cristian Fantuzzi, Cesare Univ Modena & Reggio Emilia Dept Sci & Methods Engn DISMI Modena Italy

This paper proposes a novel approach based on affective robotics that can be applied to industrial applications. Considering a human-robot interaction task, we propose to analyze the mental workload of the operator, and subsequently adapt the behavior of the robotic system, introducing assistive technologies. These technologies would prevent the performances deterioration caused by the human stress, helping him/her only when needed and decreasing the user's mental workload. This represents a general methodology, which can be applied to several industrial applications, leading to increase the overall performances of human-robot interaction exploiting principles of human-centered design. As a case study, we consider a teleoperation task, where virtual fixtures are utilized as an assistive technology. The stress of the operator is monitored in terms of heart rate variability, measured by means of a wearable sensor tied at the operator's wrist. Experimental validation of the proposed architecture is performed on a group of 15 users that teleoperate an industrial robot for performing a pick and place task.

关键词： affective robotics Human-robot interaction Industrial robotics Human-centered workplaces

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Compassion, empathy and sympathy expression features in affective robotics 7

Compassion, empathy and sympathy expression features in affe...

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7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Lewandowska-Tomaszczyk, Barbara Wilson, Paul A. State Univ Appl Sci Konin Dept Translat Konin Poland Univ Lodz Dept English Language & Appl Linguist Lodz Poland

ISBN: (纸本)9781509026456

The present paper identifies differences in the expression features of compassion, sympathy and empathy in British English and Polish that need to be tuned accordingly in socially interactive robots to enable them to operate successfully in these cultures. The results showed that English compassion is characterised by more positive VALENCE and more of a desire to act than Polish wspolczucie. Polish empatia is also characterised by a more negative VALENCE than English empathy, which has a wider range of application. When used in positive contexts, English sympathy corresponds to Polish sympatia;however, it also acquires elements of negative VALENCE in English. The results further showed that although the processes of emotion recognition and expression in robotics must be tuned to culture-specific emotion models, the more explicit patterns of responsiveness (British English for the COMPASSION model in our case) is also recommended for the transfer to make the cognitive and sensory infocommunication more readily interpretable by the interacting agents.

关键词： action tendencies affective robotics British English cognitive corpus linguistics compassion emotions empathy empatia expressiveness false negative false positive GRID online sorting Polish responsiveness sympathy sympatia VALENCE wspolczucie

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affective robotics: Modelling and Testing Cultural Prototypes

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COGNITIVE COMPUTATION 2014年第4期6卷 814-840页

作者： Wilson, Paul A. Lewandowska-Tomaszczyk, Barbara Univ Lodz PL-90131 Lodz Poland

If robots are to successfully interact with humans, they need to measure, quantify and respond to the emotions we produce. Similar to humans, the perceptual cue inputs to any modelling that allows this will be based on behavioural expression and body activity features that are prototypical of each emotion. However, the likely employment of such robots in different cultures necessitates the tuning of the emotion feature recognition system to the specific feature profiles present in these cultures. The amount of tuning depends on the relative convergence of the cross-cultural mappings between the emotion feature profiles of the cultures where the robots will be used. The GRID instrument and the cognitive corpus linguistics methodology were used in a contrastive study analysing a selection of behavioural expression and body activity features to compare the feature profiles of joy, sadness, fear and anger within and between Polish and British English. The intra-linguistic differences that were found in the profile of emotion features suggest that weightings based on this profile can be used in robotic modelling to create emotion-sensitive socially interacting robots. Our cross-cultural results further indicate that this profile of features needs to be tuned in robots to make them emotionally competent in different cultures.

关键词： affective robotics Body features of emotion Corpus materials Culture prototypes Emotion event scenario GRID

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PLEA: The Embodied Virtual Being 16th

PLEA: The Embodied Virtual Being

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16th International Conference on Social Computing and Social Media (SCSM) Held as Part of the 26th International Conference on Human-Computer Interaction (HCII)

作者： Stipancic, Tomislav Koren, Leon Rosenberg, Duska Harwood, Tracy Benic, Juraj Univ Zagreb Fac Mech Engn & Naval Architecture Ivana Lucica 5 Zagreb Croatia Univ London I Com Res London England De Montfort Univ Inst Creat Technol Leicester LE1 9BH Leics England

ISBN: (纸本)9783031612800;9783031612817

The emergence of Artificial Intelligence (AI) marks a significant milestone in innovations, particularly with the advent of Virtual Beings (VBs) and Mixed Reality. VBs have transitioned from rudimentary programmed characters to elaborate, interactive entities capable of sophisticated human engagement. Enhanced with emotional intelligence, adaptive learning, and context-sensitivity, VBs offer nuanced interactions within both digital and real-world settings. A key breakthrough in this field is the development of affective VBs, which possess the ability to comprehend and react to human emotions, challenging the traditional view of AI as emotionless and strictly logical. This evolution prompts a reexamination of AI's societal role and the dynamics of Human-Computer Interaction. This study focuses on the complexities of VBs, particularly through the implementation of a virtual being named PLEA, manifested in both worlds: the virtual and the physical one through a robotic head. It discusses the utility of such agents in various applications and employs ethnographic communication methodologies for data collection and analysis to unearth interaction patterns. Additionally, it examines human reactions to PLEA through a user-centered design approach, highlighting interactions based solely on facial expressions between PLEA and human participants. This investigation aims to lay the groundwork for developing multidisciplinary methods to collect, analyze, and abstract data from real-time interactions and feedback sessions, advancing the discourse on AI's integration into human social environments.

关键词： affective robotics HRI Virtual Beings Embodied Intelligence

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On the Emotional Transparency of a Non-humanoid Social Robot 14th

On the Emotional Transparency of a Non-humanoid Social Robot

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14th International Conference on Social robotics (ICSR) - Social Robots for Assisted Living and Healthcare, Emphasizing on the Increasing Importance of Social robotics in Human Daily Living and Society

作者： Vigni, Francesco Rossi, Alessandra Miccio, Linda Rossi, Silvia Univ Naples Federico II Interdepartmental Ctr Adv Robot Surg ICAROS Naples Italy Univ Naples Federico II Dept Elect Engn & Informat Technol DIETI Naples Italy

ISBN: (纸本)9783031246661;9783031246678

Non-anthropomorphic robots have issues in conveying internal state during a Human-Robot Interaction (HRI). A possible approach is to let robots communicate their states or intentions through emotions. However, the robot's emotional responses are not always clearly identified by people, and it is also difficult to identify which and how many cues are most relevant in affecting people's ability of recognition of robots' emotions during the ongoing interaction. We involved 102 participants in an online questionnaire-based study where they rated the robot's behaviours, designed in terms of colours, movements and sounds, according to the perceived emotions in order to identify the cues to be used for making robots more legible. The results suggest that emotional transparency can benefit from multimodal interaction. Our results underline that single modes can be capable of conveying effectively the desired emotion, and little benefit is obtained by the use of additional modes that may be not necessarily noticed by the users.

关键词： affective robotics Human-robot interaction Emotional transparency

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