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DIVIS: Digital Interactive Victim Intake Simulator

Published: 22 December 2023 Publication History

Abstract

The Digital Interactive Victim Intake Simulator ("DIVIS") is an interactive, agent-based simulated training tool that has been deployed at the U.S. Army's Sexual Harassment/Assault Response Prevention Program ("SHARP") Academy since May 2021. The system allows student Sexual Assault Response Coordinators ("SARCs") and Victim Advocates ("VAs") to practice critical interpersonal intake skills needed when conducting the initial interview of a survivor of military sexual assault. Currently the system includes two scenarios -- one with a male victim and a second with a female victim -- with two more scenarios under development. Each victim exhibits one of a possible three different emotional vectors, (e.g., angry, ashamed or defensive). Scenarios can run multiple times, giving trainees the ability to navigate through various potential story paths based on how they engage with the victim during each session.
After any given session, the system provides an after-action review ("AAR") illustrated by an interface that allows a video replay of the trainee's practice session with a timeline that is flagged to highlight relevant moments within the training scenario, based on verbal and nonverbal data collected by the system during the interaction. In addition, key topics that the trainee should cover in the course of an ideal intake interview are either checked or left unchecked in a "Key Topics" key on the interface.

References

[1]
Anton Leuski and David Traum. 2011. NPCEditor: Creating Virtual Human Dialogue Using Information Retrieval Techniques. AI Magazine. 32, 2 (Mar. 2011), 42--56. https://doi.org/10.1609/aimag.v32i2.2347
[2]
Kalin Stefanov, Baiyu Huang, Zongjian Li, Mohammad Soleymani. 2020. OpenSense: A Platform for Data Acquisition and Behavior Perception. In Proceedings of the 22nd ACM International Conference on Multimodal Interaction (ICMI '20), October 25-29, 2020, Utrecht, the Netherlands. ACM Inc., New York, NY, 660--664. https://doi.org/10.1145/3382507.3418832

Cited By

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  • (2024)SEMPI: A Database for Understanding Social Engagement in Video-Mediated Multiparty InteractionProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685752(546-555)Online publication date: 4-Nov-2024

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Published In

cover image ACM Conferences
IVA '23: Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents
September 2023
376 pages
ISBN:9781450399944
DOI:10.1145/3570945
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 December 2023

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Author Tags

  1. Agents and intelligent systems
  2. Dialogue systems
  3. Learning and education
  4. Multimodal interfaces
  5. Sexual assault prevention

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  • Extended-abstract
  • Research
  • Refereed limited

Funding Sources

  • U.S. Army Research Office

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IVA '23
Sponsor:

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Overall Acceptance Rate 53 of 196 submissions, 27%

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Cited By

View all
  • (2024)SEMPI: A Database for Understanding Social Engagement in Video-Mediated Multiparty InteractionProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685752(546-555)Online publication date: 4-Nov-2024

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