Experts' Views on Artifical Intelligence‐Based Child Chatbots to Train Investigative Interviewing Skills.

Saved in:
Bibliographic Details
Title: Experts' Views on Artifical Intelligence‐Based Child Chatbots to Train Investigative Interviewing Skills.
Authors: Brubacher, Sonja P. (AUTHOR), Powell, Martine B. (AUTHOR), Johnson, Miriam S. (AUTHOR), Cano, Maria‐Cayetana Lopez (AUTHOR), Hassan, Syed Zohaib (AUTHOR), Riegler, Michael A. (AUTHOR), Halvorsen, Pål (AUTHOR), Baugerud, Gunn Astrid (AUTHOR)
Source: Applied Cognitive Psychology. Mar/Apr2025, Vol. 39 Issue 2, p1-12. 12p.
Subjects: Artificial intelligence, Professional employee training, Chatbots, Technological innovations, Learning goals
Abstract: High‐quality training involving interactivity, spaced practice, and feedback is necessary to foster lasting skills in investigative interviewing. Technological advancements have yielded the possibility of using intelligent chatbots for interviewers to practice skills; but to be useful, such tools must offer quality learning experiences. In the present study, 28 interview trainers and professionals with related experience tested a chatbot for 10 min. The participants were then interviewed regarding the chatbot's utility. The professionals reflected on the learning elements and user experience. They appreciated the self‐paced and reflective nature of the tool, including its ability to provide feedback. The participants' concerns–for the current chatbot and the use of AI in training more broadly–included the need for the tool to simulate learning goals and offer nuanced experiences and feedback. The participants' insights offer important considerations for the use of intelligent chatbots for skills training as the technology advances. [ABSTRACT FROM AUTHOR]
Copyright of Applied Cognitive Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 184623594
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Experts' Views on Artifical Intelligence‐Based Child Chatbots to Train Investigative Interviewing Skills.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Brubacher%2C+Sonja+P%2E%22">Brubacher, Sonja P.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Powell%2C+Martine+B%2E%22">Powell, Martine B.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Johnson%2C+Miriam+S%2E%22">Johnson, Miriam S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cano%2C+Maria‐Cayetana+Lopez%22">Cano, Maria‐Cayetana Lopez</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hassan%2C+Syed+Zohaib%22">Hassan, Syed Zohaib</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Riegler%2C+Michael+A%2E%22">Riegler, Michael A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Halvorsen%2C+Pål%22">Halvorsen, Pål</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Baugerud%2C+Gunn+Astrid%22">Baugerud, Gunn Astrid</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Applied+Cognitive+Psychology%22">Applied Cognitive Psychology</searchLink>. Mar/Apr2025, Vol. 39 Issue 2, p1-12. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Professional+employee+training%22">Professional employee training</searchLink><br /><searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+goals%22">Learning goals</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: High‐quality training involving interactivity, spaced practice, and feedback is necessary to foster lasting skills in investigative interviewing. Technological advancements have yielded the possibility of using intelligent chatbots for interviewers to practice skills; but to be useful, such tools must offer quality learning experiences. In the present study, 28 interview trainers and professionals with related experience tested a chatbot for 10 min. The participants were then interviewed regarding the chatbot's utility. The professionals reflected on the learning elements and user experience. They appreciated the self‐paced and reflective nature of the tool, including its ability to provide feedback. The participants' concerns–for the current chatbot and the use of AI in training more broadly–included the need for the tool to simulate learning goals and offer nuanced experiences and feedback. The participants' insights offer important considerations for the use of intelligent chatbots for skills training as the technology advances. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Applied Cognitive Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=184623594
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/acp.70048
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1
    Subjects:
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Professional employee training
        Type: general
      – SubjectFull: Chatbots
        Type: general
      – SubjectFull: Technological innovations
        Type: general
      – SubjectFull: Learning goals
        Type: general
    Titles:
      – TitleFull: Experts' Views on Artifical Intelligence‐Based Child Chatbots to Train Investigative Interviewing Skills.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Brubacher, Sonja P.
      – PersonEntity:
          Name:
            NameFull: Powell, Martine B.
      – PersonEntity:
          Name:
            NameFull: Johnson, Miriam S.
      – PersonEntity:
          Name:
            NameFull: Cano, Maria‐Cayetana Lopez
      – PersonEntity:
          Name:
            NameFull: Hassan, Syed Zohaib
      – PersonEntity:
          Name:
            NameFull: Riegler, Michael A.
      – PersonEntity:
          Name:
            NameFull: Halvorsen, Pål
      – PersonEntity:
          Name:
            NameFull: Baugerud, Gunn Astrid
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar/Apr2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 08884080
          Numbering:
            – Type: volume
              Value: 39
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Applied Cognitive Psychology
              Type: main
ResultId 1