Applying the Appraisal Theory of Emotion to Human-Agent Interaction

2007 ◽  
Vol 51 (22) ◽  
pp. 1491-1495 ◽  
Author(s):  
Aaron A. Pepe ◽  
Valerie K. Sims ◽  
Matthew G. Chin
Keyword(s):  
Emotional Reaction ◽  
Emotional Reactions ◽  
Physiological Data ◽  
Appraisal Theory ◽  
Agent Interactions ◽  
Human Agent ◽  
Skin Response ◽  
Agent Interaction ◽  
Sony Aibo ◽  
Detailed Picture

When people interact with one another, there is a series of conscious and unconscious evaluations used to judge the situation in order to determine an emotional response. This research examines whether the emotional appraisals that individuals use when interacting with other humans, can be applied to human-agent interactions, and whether the attributes of the non-human agent affect the nature of these appraisals. Participants work with one of three non-human teammates to accomplish a series of tasks. These agents are a real dog, a robotic dog (Sony AIBO), and a nondescript robot (Lego NXT). Participants' emotional reaction is measured through subjective questionnaires, physiological data (EKG & galvanic skin response), and vocal analysis. Taken together this set of measurements forms a detailed picture of how humans react emotionally to agents during their task interaction. It is predicted that agent form will influence participants' appraisals and emotional reactions.

Applying the Appraisal Theory of Emotion to Human-Agent Interaction

2007 ◽  
Author(s):  
Aaron A. Pepe ◽  
Valerie K. Sims ◽  
Matthew G. Chin
Keyword(s):  
Appraisal Theory ◽  
Human Agent ◽  
Agent Interaction

Surprise and human-agent interactions

2015 ◽  
Vol 13 (2) ◽  
pp. 461-477 ◽  
Author(s):  
Chloé Clavel
Keyword(s):  
Speech Processing ◽  
Affective Computing ◽  
Computational Models ◽  
Conversational Agents ◽  
Agent Interactions ◽  
Human Agent ◽  
Agent Interaction ◽  
Emotional Component ◽  
Emotional Behaviour ◽  
The One

Affective Computing aims at improving the naturalness of human-computer interactions by integrating the socio-emotional component in the interaction. The use of embodied conversational agents (ECAs) – virtual characters interacting with humans – is a key answer to this issue. On the one hand, the ECA has to take into account the human emotional behaviours and social attitudes. On the other hand, the ECA has to display socio-emotional behaviours with relevance. In this paper, we provide an overview of computational methods used for user’s socio-emotional behaviour analysis and of human-agent interaction strategies by questioning the ambivalent status of surprise. We focus on the computational models and on the methods we use to detect user’s emotion through language and speech processing and present a study investigating the role of surprise in the ECA’s answer.

The Therapist’s Reaction to a Patient’s Suicide

Crisis ◽  
2011 ◽  
Vol 32 (2) ◽  
pp. 99-105 ◽  
Author(s):  
Friedrich Martin Wurst ◽  
Isabella Kunz ◽  
Gregory Skipper ◽  
Manfred Wolfersdorf ◽  
Karl H. Beine ◽  
...  
Keyword(s):  
Emotional Responses ◽  
Well Being ◽  
Emotional Reaction ◽  
Emotional Reactions ◽  
Analog Scale ◽  
General Hospitals ◽  
Item Questionnaire ◽  
Retrospective Nature ◽  
The Impact ◽  
Over Time

Background: A substantial proportion of therapists experience the loss of a patient to suicide at some point during their professional life. Aims: To assess (1) the impact of a patient’s suicide on therapists distress and well-being over time, (2) which factors contribute to the reaction, and (3) which subgroup might need special interventions in the aftermath of suicide. Methods: A 63-item questionnaire was sent to all 185 Psychiatric Clinics at General Hospitals in Germany. The emotional reaction of therapists to patient’s suicide was measured immediately, after 2 weeks, and after 6 months. Results: Three out of ten therapists suffer from severe distress after a patients’ suicide. The item “overall distress” immediately after the suicide predicts emotional reactions and changes in behavior. The emotional responses immediately after the suicide explained 43.5% of the variance of total distress in a regression analysis. Limitations: The retrospective nature of the study is its primary limitation. Conclusions: Our data suggest that identifying the severely distressed subgroup could be done using a visual analog scale for overall distress. As a consequence, more specific and intensified help could be provided to these professionals.

scholarly journals Towards alignment strategies in human-agent interactions based on measures of lexical repetitions

2021 ◽  
Author(s):  
Guillaume Dubuisson Duplessis ◽  
Caroline Langlet ◽  
Chloé Clavel ◽  
Frédéric Landragin
Keyword(s):  
Agent Interactions ◽  
Human Agent

Intersubjectivity in human–agent interaction

2007 ◽  
Vol 8 (3) ◽  
pp. 391-410 ◽  
Author(s):  
Justine Cassell ◽  
Andrea Tartaro
Keyword(s):  
Human Robot Interaction ◽  
Embodied Conversational Agents ◽  
Conversational Agents ◽  
Robot Interaction ◽  
Human Agent ◽  
Unconscious Communication ◽  
Agent Interaction ◽  
And Behavior ◽  
And Robotics

What is the hallmark of success in human–agent interaction? In animation and robotics, many have concentrated on the looks of the agent — whether the appearance is realistic or lifelike. We present an alternative benchmark that lies in the dyad and not the agent alone: Does the agent’s behavior evoke intersubjectivity from the user? That is, in both conscious and unconscious communication, do users react to behaviorally realistic agents in the same way they react to other humans? Do users appear to attribute similar thoughts and actions? We discuss why we distinguish between appearance and behavior, why we use the benchmark of intersubjectivity, our methodology for applying this benchmark to embodied conversational agents (ECAs), and why we believe this benchmark should be applied to human–robot interaction.

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