The use of affective and attentive cues in an empathic computer-based Companions

Bee, Nikolaus; André, Elisabeth; Vogt, Thurid; Gebhard, Patrick

doi:10.1075/nlp.8.19bee

Cited by 9 publications

(6 citation statements)

References 15 publications

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“…In our scenario we used two of them: feeling 'sad' for the visitor's loss-which triggers the robot's prompt reaction to help recovering the bag-and feeling 'happy' once the bag is found. Hence, the robot response strategy is to mimic the user's affective state (parallel empathy) and to offer immediately help (reactive empathy) [60].…”

Section: Designing Empathetic Reactions: I Can Feel What Youmentioning

confidence: 99%

Making Social Robots More Attractive: The Effects of Voice Pitch, Humor and Empathy

Niculescu

Dijk

Nijholt

et al. 2013

Int J of Soc Robotics

243

115

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In this paper we explore how simple auditory/ verbal features of the spoken language, such as voice characteristics (pitch) and language cues (empathy/humor expression) influence the quality of interaction with a social robot receptionist. For our experiment two robot characters were created: Olivia, the more extrovert, exuberant, and humorous robot with a higher voice pitch and Cynthia, the more introvert, calmer and more serious robot with a lower voice pitch. Our results showed that the voice pitch seemed to have a strong influence on the way users rated the overall interaction quality, as well as the robot's appeal and overall enjoyment. Further, the humor appeared to improve the users' perception of task enjoyment, robot personality and speaking style while the empathy showed effects on the way users evaluated the robot's receptive behavior and the interaction ease. With our study, we would like to stress in particular the importance of voice pitch in human robot interaction and to encourage further research on this topic.

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Section: Designing Empathetic Reactions: I Can Feel What Youmentioning

confidence: 99%

Making Social Robots More Attractive: The Effects of Voice Pitch, Humor and Empathy

Niculescu

Dijk

Nijholt

et al. 2013

Int J of Soc Robotics

243

115

View full text Add to dashboard Cite

show abstract

“…For example, if a user is distressed because he or she was not able to solve a task in a tutoring system, an artificial agent would simply imitate the user's facial expression without knowing why the user is distressed. This is one of the behaviors realized by Bee et al [6] with the attentive listener agent Alfred. They used EmoVoice [45] to detect emotional cues in the speaker's voice, from which they calculated the user's current mood tendency via the ALMA model of affect [16].…”

Section: Modeling and Simulating Empathymentioning

confidence: 78%

“…An example includes the work by Bee et al [6] who implemented affective empathy for the virtual Alfred agent by appraising the emotional state inferred from the user's tone of voice. Based on the OCC model [33], the agent perceived negative emotions as "bad event for good other" and positive emotions as "good event for good other".…”

Section: Modeling and Simulating Empathymentioning

confidence: 99%

Human-Inspired Socially-Aware Interfaces

Schiller

Weitz

Janowski

et al. 2019

Theory and Practice of Natural Computing

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Social interactions shape our human life and are inherently emotional. Human conversational partners usually try to interpret-consciously or unconsciously-the speaker's or listener's affective cues and respond to them accordingly. With the objective to contribute to more natural and intuitive ways of communicating with machines, an increasing number of research projects has started to investigate how to simulate similar affective behaviors in socially-interactive agents. In this paper we present an overview of the state of the art in social-interactive agents that expose a socially-aware interface including mechanisms to recognize a user's emotional state, to respond to it appropriately and to continuously learn how to adapt to the needs and preferences of a human user. To this end, we focus on three essential properties of socially-aware interfaces: Social Perception, Socially-Aware Behavior Synthesis, and Learning Socially-Aware Behaviors. We also analyze the limitations of current approaches and discuss directions for future development.

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“…But at the human/sex-robot level, parallels to the unconscious emotional empathy may be all that is sought. The exception is with speech recognition and conversation (Bee et al 2010). In this case, it is not only linguistic exchange that is involved; body movements and gestures are important as well (Novikova and Watts 2015).…”

Section: The Uncanny Valleymentioning

confidence: 99%

Artificial Emotions and Love and Sex Doll Service Workers

Belk

2022

Journal of Service Research

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Realistic looking humanoid love and sex dolls have been available on a somewhat secretive basis for at least three decades. But today the industry has gone mainstream with North American, European, and Asian producers using mass customization and competing on the bases of features, realism, price, and depth of product lines. As a result, realistic life size artificial companions are becoming more affordable to purchase and more feasible to patronize on a service basis. Sexual relations may be without equal when it comes to emotional intimacy. Yet, the increasingly vocal and interactive robotic versions of these dolls, feel nothing. They may nevertheless induce emotions in users that potentially surpass the pleasure of human-human sexual experiences. The most technologically advanced love and sex robots are forecast to sense human emotions and gear their performances of empathy, conversation, and sexual activity accordingly. I offer a model of how this might be done to provide a better service experience. I compare the nature of resulting “artificial emotions” by robots to natural emotions by humans. I explore the ethical issues entailed in offering love and sex robot services with artificial emotions and offer a conclusion and recommendations for service management and for further research.

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The use of affective and attentive cues in an empathic computer-based Companions

Cited by 9 publications

References 15 publications

Making Social Robots More Attractive: The Effects of Voice Pitch, Humor and Empathy

Making Social Robots More Attractive: The Effects of Voice Pitch, Humor and Empathy

Human-Inspired Socially-Aware Interfaces

Artificial Emotions and Love and Sex Doll Service Workers

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