A field assessment of child abuse investigators' engagement with a child-avatar to develop interviewing skills

Child Abuse Negl. 2023 Sep:143:106324. doi: 10.1016/j.chiabu.2023.106324. Epub 2023 Jun 28.

Abstract

Background: Child investigative interviewing is a complex skill requiring specialised training. A critical training element is practice. Simulations with digital avatars are cost-effective options for delivering training. This study of real-world data provides novel insights evaluating a large number of trainees' engagement with LiveSimulation (LiveSim), an online child-avatar that involves a trainee selecting a question (i.e., an option-tree) and the avatar responding with the level of detail appropriate for the question type. While LiveSim has been shown to facilitate learning of open-ended questions, its utility (from a user engagement perspective) remains to be examined.

Objective: We evaluated trainees' engagement with LiveSim, focusing on patterns of interaction (e.g., amount), appropriateness of the prompt structure, and the programme's technical compatibility.

Participants and setting: Professionals (N = 606, mainly child protection workers and police) being offered the avatar as part of an intensive course on how to interview a child conducted between 2009 and 2018.

Methods: For descriptive analysis, Visual Basic for Applications coding in Excel was applied to evaluate engagement and internal attributes of LiveSim. A compatibility study of the programme was run testing different hardware focusing on access and function.

Results: The trainees demonstrated good engagement with the programme across a variety of measures, including number and timing of activity completions. Overall, knowing the utility of avatars, our results provide strong support for the notion that a technically simple avatar like LiveSim awake user engagement. This is important knowledge in further development of learning simulations using next-generation technology.

Keywords: Avatar; Engagement; Investigative interviewing; Simulation practice; Skills training.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Child
  • Child Abuse* / prevention & control
  • Humans
  • Learning