Towards Effective Emotional Support for Community First Responders Experiencing Stress

Matthew Dennis, Peter Kindness, Judith Masthoff, Christopher Mellish, Kirsten Ailsa Smith

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

12 Citations (Scopus)


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 publication2013 Humaine Association Conference on Affective Computing and Intelligent Interaction
PublisherIEEE Press
Number of pages6
ISBN (Print)9780769550480
Publication statusPublished - 2013
EventAffective Computing and Intelligent Interaction (ACII), 2013 - Geneva, Switzerland
Duration: 2 Sep 20135 Sep 2013


ConferenceAffective Computing and Intelligent Interaction (ACII), 2013


  • Emotional Support
  • Community Health
  • Stress
  • Affect

Cite this