Affective Robotics For Wellbeing: A Scoping Review

Spitale, Micol; Güneş, Hatice

doi:10.1109/aciiw57231.2022.10085995

Cited by 12 publications

(3 citation statements)

References 53 publications

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“…This important finding provides initial support for the notion that robots can trigger an emotional reaction from the interaction's content. When studying robots' affective capabilities, previous studies often address factors related to the robot's visual features (e.g., embodiment) or robotic functionalities (e.g., emotional recognition) [124]. Yet, studies aiming at developing and assessing social robotic interventions for well-being should also study the robot's ability to simulate human affect in different ways [see 124].…”

Section: Robots That Discuss Emotional Content Can Simulate Feelingsmentioning

confidence: 99%

Building Long-Term Human–Robot Relationships: Examining Disclosure, Perception and Well-Being Across Time

Laban,

Kappas,

Morrison

et al. 2023

Int J of Soc Robotics

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While interactions with social robots are novel and exciting for many people, one concern is the extent to which people’s behavioural and emotional engagement might be sustained across time, since during initial interactions with a robot, its novelty is especially salient. This challenge is particularly noteworthy when considering interactions designed to support people’s well-being, with limited evidence (or empirical exploration) of social robots’ capacity to support people’s emotional health over time. Accordingly, our aim here was to examine how long-term repeated interactions with a social robot affect people’s self-disclosure behaviour toward the robot, their perceptions of the robot, and how such sustained interactions influence factors related to well-being. We conducted a mediated long-term online experiment with participants conversing with the social robot Pepper 10 times over 5 weeks. We found that people self-disclose increasingly more to a social robot over time, and report the robot to be more social and competent over time. Participants’ moods also improved after talking to the robot, and across sessions, they found the robot’s responses increasingly comforting as well as reported feeling less lonely. Finally, our results emphasize that when the discussion frame was supposedly more emotional (in this case, framing questions in the context of the COVID-19 pandemic), participants reported feeling lonelier and more stressed. These results set the stage for situating social robots as conversational partners and provide crucial evidence for their potential inclusion in interventions supporting people’s emotional health through encouraging self-disclosure.

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Section: Robots That Discuss Emotional Content Can Simulate Feelingsmentioning

confidence: 99%

Building Long-Term Human–Robot Relationships: Examining Disclosure, Perception and Well-Being Across Time

Laban,

Kappas,

Morrison

et al. 2023

Int J of Soc Robotics

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“…En los últimos años, numerosos autores han abordado el reto de replicar funciones humanas en robots con el objetivo de conseguir sistemas autónomos, más inteligentes y naturales (Khan and Cañamero, 2022;Rai, 2022;Maroto-Gómez et al, 2023c). La mayoría de estos trabajos generan el comportamiento del robot en base a dos conceptos clave: motivación (Seifert et al, 2022) y emoción (Spitale and Gunes, 2022). Sin embargo, muy pocos de ellos producen un comportamiento a largo plazo en el robot, centrándose en interacciones cortas para aplicaciones muy concretas.…”

Section: Literatura Relacionadaunclassified

Estímulos, pulsiones y ritmos biológicos como estrategias motivadoras del comportamiento de robots autónomos

Maroto Gómez,

Carrasco-Martínez,

Malfaz

et al. 2023

XLIV Jornadas De Automática: Libro De Actas: Universidad De Zaragoza, Escuela De Ingeniería Y Arquitectura, 6, 7 Y 8 De Septiem

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La robótica social ha demostrado en los últimos años un gran potencial en sectores estratégicos para la sociedad como la educación, la sanidad y la compañía a mayores. Estos sectores necesitan sistemas autónomos para ayudar a sus profesionales por diversos motivos. Por ejemplo, el envejecimiento de la población en países desarrollados ha provocado una falta de trabajadores cualificados en sectores clave como el cuidado de personas mayores. Este artículo tiene como motivación el desarrollo de robots sociales autónomos que sean capaces de realizar sus tareas adecuadamente con la aceptación de sus usuarios, reduzcan la supervisión humana, y operen en escenarios reales de forma ininterrumpida. Este trabajo toma como referencia numerosos estudios que en los últimos años revelan los beneficios de replicar el comportamiento humano en robots autónomos para incrementar el vínculo humano-robot y mejorar la interacción entre ambos. Para dotar de un comportamiento bioinspirado y autónomo a los robots sociales, en este artículo proponemos tres estrategias de generación de comportamiento: cómo el robot percibe y evalúa estímulos del entorno y responde a ellos, pulsiones internas que motivan el comportamiento voluntario, y ritmos biológicos para generar comportamientos cíclicos. Estas estrategias se implementan en el robot Mini, permitiéndole operar durante largos periodos de tiempo y cumplir sus tareas de asistencia al usuario.

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“…The theories and methods emerging from this field have tremendous potential to improve the quality of HRI by endowing the robots with the ability to recognize human emotions and appropriately respond to them [18,20,23]. This is especially important in application domains such as healthcare, in which understanding a user's emotional states can help create personalized and more effective HRI [24].…”

Section: Introductionmentioning

confidence: 99%

Robots as Mental Health Coaches: A Study of Emotional Responses to Technology-Assisted Stress Management Tasks Using Physiological Signals

Klęczek,

Rice,

Alimardani

2024

Sensors

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The current study investigated the effectiveness of social robots in facilitating stress management interventions for university students by evaluating their physiological responses. We collected electroencephalogram (EEG) brain activity and Galvanic Skin Responses (GSRs) together with self-reported questionnaires from two groups of students who practiced a deep breathing exercise either with a social robot or a laptop. From GSR signals, we obtained the change in participants’ arousal level throughout the intervention, and from the EEG signals, we extracted the change in their emotional valence using the neurometric of Frontal Alpha Asymmetry (FAA). While subjective perceptions of stress and user experience did not differ significantly between the two groups, the physiological signals revealed differences in their emotional responses as evaluated by the arousal–valence model. The Laptop group tended to show a decrease in arousal level which, in some cases, was accompanied by negative valence indicative of boredom or lack of interest. On the other hand, the Robot group displayed two patterns; some demonstrated a decrease in arousal with positive valence indicative of calmness and relaxation, and others showed an increase in arousal together with positive valence interpreted as excitement. These findings provide interesting insights into the impact of social robots as mental well-being coaches on students’ emotions particularly in the presence of the novelty effect. Additionally, they provide evidence for the efficacy of physiological signals as an objective and reliable measure of user experience in HRI settings.

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Affective Robotics For Wellbeing: A Scoping Review

Cited by 12 publications

References 53 publications

Building Long-Term Human–Robot Relationships: Examining Disclosure, Perception and Well-Being Across Time

Building Long-Term Human–Robot Relationships: Examining Disclosure, Perception and Well-Being Across Time

Estímulos, pulsiones y ritmos biológicos como estrategias motivadoras del comportamiento de robots autónomos

Robots as Mental Health Coaches: A Study of Emotional Responses to Technology-Assisted Stress Management Tasks Using Physiological Signals

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