A Multimodal Chatbot System for Enhancing Social Skills Training for Security Guards

Stein de Bever, Daniel Formolo, Shuai Wang, Tibor Bosse

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Chatbots are typically used in dialogue systems for various purposes such as customer service and information acquisition. This paper explores enhancement of social skills training for security guards with the use of chatbots. More specifically, we designed a chatbot using text and voice as input to study the acceptance and the impact of the system to training security guards in deal with stress situations. The result of a pilot experiment and a survey are presented and discussed. Finally, we discuss possible improvements and future work.

Original languageEnglish
Title of host publicationHuman-Computer Interaction. Perspectives on Design
Subtitle of host publicationThematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings
EditorsMasaaki Kurosu
PublisherSpringer Verlag
Pages499-513
Number of pages15
Volume1
ISBN (Electronic)9783030226466
ISBN (Print)9783030226459
DOIs
Publication statusPublished - Jul 2019
EventThematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 26 Jul 201931 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11566 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period26/07/1931/07/19

Keywords

  • Chatbots
  • Intelligent agents
  • Role-playing
  • Security employees
  • Serious games
  • Training

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