Towards effective emotional support for community first responders experiencing stress

Matt Dennis, Peter Kindness, Judith Masthoff, Chris Mellish, Kirsten Smith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Community First Responders are often the first on the scene in rural medical emergencies, and experience situations where stress is inherent. One way of reducing this stress is through the use of an Empathic Conversational Agent which can provide Emotional Support, and be applied to systems designed for the pre-hospital care domain. This paper outlines the groundwork for this goal by describing the development of stories which describe a particular stressor, and validated Emotional Support categories and statements. These will be used when developing an algorithm for adapting Emotional Support to different stressful situations. We identified 5 categories of Emotional Support, and a set of 52 statements which were validated as belonging to these categories. We then present a preliminary analysis of the patterns of usage of Emotional Support categories for each of the stressors.

Original languageEnglish
Title of host publicationProceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013
Pages763-768
Number of pages6
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 5th Humaine Association Conference on Affective Computing and Intelligent Interaction - Geneva, Switzerland
Duration: 2 Sept 20135 Sept 2013

Conference

Conference2013 5th Humaine Association Conference on Affective Computing and Intelligent Interaction
Abbreviated titleACII 2013
Country/TerritorySwitzerland
CityGeneva
Period2/09/135/09/13

Keywords

  • Affect
  • Community Health
  • Emotional Support
  • Stress

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