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

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

doi:10.1007/978-3-030-22646-6_37

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

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Human-Computer Interaction. Perspectives on Design
Subtitle of host publication	Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part I
Publisher	Springer
Pages	499-513
Number of pages	15
Volume	1
ISBN (Electronic)	9783030226466
ISBN (Print)	9783030226459
DOIs	https://doi.org/10.1007/978-3-030-22646-6_37
Publication status	Published - 27 Jun 2019
Externally published	Yes
Event	Thematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - , United States Duration: 26 Jul 2019 → 31 Jul 2019

Publication series

Name	Lecture Notes in Computer Science
Volume	11566
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Thematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Country/Territory	United States
Period	26/07/19 → 31/07/19

Keywords

Chatbots
Intelligent agents
Role-playing
Security employees
Serious games
Training

Access to Document

10.1007/978-3-030-22646-6_37

Cite this

de Bever, S., Formolo, D., Wang, S., & Bosse, T. (2019). A Multimodal Chatbot System for Enhancing Social Skills Training for Security Guards. In Human-Computer Interaction. Perspectives on Design: Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part I (Vol. 1, pp. 499-513). (Lecture Notes in Computer Science; Vol. 11566). Springer. https://doi.org/10.1007/978-3-030-22646-6_37

de Bever, Stein ; Formolo, Daniel ; Wang, Shuai et al. / A Multimodal Chatbot System for Enhancing Social Skills Training for Security Guards. Human-Computer Interaction. Perspectives on Design: Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part I. Vol. 1 Springer, 2019. pp. 499-513 (Lecture Notes in Computer Science).

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title = "A Multimodal Chatbot System for Enhancing Social Skills Training for Security Guards",

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.",

keywords = "Chatbots, Intelligent agents, Role-playing, Security employees, Serious games, Training",

author = "\{de Bever\}, Stein and Daniel Formolo and Shuai Wang and Tibor Bosse",

year = "2019",

month = jun,

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doi = "10.1007/978-3-030-22646-6\_37",

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isbn = "9783030226459",

volume = "1",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "499--513",

booktitle = "Human-Computer Interaction. Perspectives on Design",

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de Bever, S, Formolo, D, Wang, S & Bosse, T 2019, A Multimodal Chatbot System for Enhancing Social Skills Training for Security Guards. in Human-Computer Interaction. Perspectives on Design: Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part I. vol. 1, Lecture Notes in Computer Science, vol. 11566, Springer, pp. 499-513, Thematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019, United States, 26/07/19. https://doi.org/10.1007/978-3-030-22646-6_37

A Multimodal Chatbot System for Enhancing Social Skills Training for Security Guards. / de Bever, Stein; Formolo, Daniel; Wang, Shuai et al.
Human-Computer Interaction. Perspectives on Design: Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part I. Vol. 1 Springer, 2019. p. 499-513 (Lecture Notes in Computer Science; Vol. 11566).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Bosse, Tibor

PY - 2019/6/27

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N2 - 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.

AB - 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.

KW - Chatbots

KW - Intelligent agents

KW - Role-playing

KW - Security employees

KW - Serious games

KW - Training

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DO - 10.1007/978-3-030-22646-6_37

M3 - Conference contribution

SN - 9783030226459

VL - 1

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BT - Human-Computer Interaction. Perspectives on Design

PB - Springer

T2 - Thematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019

Y2 - 26 July 2019 through 31 July 2019

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de Bever S, Formolo D, Wang S, Bosse T. A Multimodal Chatbot System for Enhancing Social Skills Training for Security Guards. In Human-Computer Interaction. Perspectives on Design: Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part I. Vol. 1. Springer. 2019. p. 499-513. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-22646-6_37

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

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Keywords

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