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NegotiAge: Development and pilot testing of an artificial intelligence‐based family caregiver negotiation program.

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Title: NegotiAge: Development and pilot testing of an artificial intelligence‐based family caregiver negotiation program.
Authors: Murawski, Alaine, Ramirez‐Zohfeld, Vanessa, Mell, Johnathan, Tschoe, Marianne, Schierer, Allison, Olvera, Charles, Brett, Jeanne, Gratch, Jonathan, Lindquist, Lee A.
Source: Journal of the American Geriatrics Society. Apr2024, Vol. 72 Issue 4, p1112-1121. 10p.
Subjects: Community health services, Scale analysis (Psychology), Human services programs, Research funding, Social workers, Satisfaction, Artificial intelligence, Negotiation, Conflict (Psychology), Pilot projects, Questionnaires, Services for caregivers, Families, Emotions, Descriptive statistics, Caregivers, Thematic analysis, Avatars (Virtual reality), Ability, Social support, Video recording, Caregiver attitudes, Training
Abstract: Background: Family caregivers of people with Alzheimer's disease experience conflicts as they navigate health care but lack training to resolve these disputes. We sought to develop and pilot test an artificial‐intelligence negotiation training program, NegotiAge, for family caregivers. Methods: We convened negotiation experts, a geriatrician, a social worker, and community‐based family caregivers. Content matter experts created short videos to teach negotiation skills. Caregivers generated dialogue surrounding conflicts. Computer scientists utilized the dialogue with the Interactive Arbitration Guide Online (IAGO) platform to develop avatar‐based agents (e.g., sibling, older adult, physician) for caregivers to practice negotiating. Pilot testing was conducted with family caregivers to assess usability (USE) and satisfaction (open‐ended questions with thematic analysis). Results: Development: With NegotiAge, caregivers progress through didactic material, then receive scenarios to negotiate (e.g., physician recommends gastric tube, sibling disagrees with home support, older adult refusing support). Caregivers negotiate in real‐time with avatars who are designed to act like humans, including emotional tactics and irrational behaviors. Caregivers send/receive offers, using tactics until either mutual agreement or time expires. Immediate feedback is generated for the user to improve skills training. Pilot testing: Family caregivers (n = 12) completed the program and survey. USE questionnaire (Likert scale 1–7) subset scores revealed: (1) Useful—Mean 5.69 (SD 0.76); (2) Ease—Mean 5.24 (SD 0.96); (3) Learn—Mean 5.69 (SD 0.74); (4) Satisfy—Mean 5.62 (SD 1.10). Items that received over 80% agreements were: It helps me be more effective; It helps me be more productive; It is useful; It gives me more control over the activities in my life; It makes the things I want to accomplish easier to get done. Participants were highly satisfied and found NegotiAge fun to use (91.7%), with 100% who would recommend it to a friend. Conclusion: NegotiAge is an Artificial‐Intelligent Caregiver Negotiation Program, that is usable and feasible for family caregivers to become familiar with negotiating conflicts commonly seen in health care. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the American Geriatrics Society 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
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  Data: NegotiAge: Development and pilot testing of an artificial intelligence‐based family caregiver negotiation program.
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  Data: <searchLink fieldCode="AR" term="%22Murawski%2C+Alaine%22">Murawski, Alaine</searchLink><br /><searchLink fieldCode="AR" term="%22Ramirez‐Zohfeld%2C+Vanessa%22">Ramirez‐Zohfeld, Vanessa</searchLink><br /><searchLink fieldCode="AR" term="%22Mell%2C+Johnathan%22">Mell, Johnathan</searchLink><br /><searchLink fieldCode="AR" term="%22Tschoe%2C+Marianne%22">Tschoe, Marianne</searchLink><br /><searchLink fieldCode="AR" term="%22Schierer%2C+Allison%22">Schierer, Allison</searchLink><br /><searchLink fieldCode="AR" term="%22Olvera%2C+Charles%22">Olvera, Charles</searchLink><br /><searchLink fieldCode="AR" term="%22Brett%2C+Jeanne%22">Brett, Jeanne</searchLink><br /><searchLink fieldCode="AR" term="%22Gratch%2C+Jonathan%22">Gratch, Jonathan</searchLink><br /><searchLink fieldCode="AR" term="%22Lindquist%2C+Lee+A%2E%22">Lindquist, Lee A.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Geriatrics+Society%22">Journal of the American Geriatrics Society</searchLink>. Apr2024, Vol. 72 Issue 4, p1112-1121. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Community+health+services%22">Community health services</searchLink><br /><searchLink fieldCode="DE" term="%22Scale+analysis+%28Psychology%29%22">Scale analysis (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Human+services+programs%22">Human services programs</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Social+workers%22">Social workers</searchLink><br /><searchLink fieldCode="DE" term="%22Satisfaction%22">Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Negotiation%22">Negotiation</searchLink><br /><searchLink fieldCode="DE" term="%22Conflict+%28Psychology%29%22">Conflict (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Pilot+projects%22">Pilot projects</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Services+for+caregivers%22">Services for caregivers</searchLink><br /><searchLink fieldCode="DE" term="%22Families%22">Families</searchLink><br /><searchLink fieldCode="DE" term="%22Emotions%22">Emotions</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Caregivers%22">Caregivers</searchLink><br /><searchLink fieldCode="DE" term="%22Thematic+analysis%22">Thematic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Avatars+%28Virtual+reality%29%22">Avatars (Virtual reality)</searchLink><br /><searchLink fieldCode="DE" term="%22Ability%22">Ability</searchLink><br /><searchLink fieldCode="DE" term="%22Social+support%22">Social support</searchLink><br /><searchLink fieldCode="DE" term="%22Video+recording%22">Video recording</searchLink><br /><searchLink fieldCode="DE" term="%22Caregiver+attitudes%22">Caregiver attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Training%22">Training</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Family caregivers of people with Alzheimer's disease experience conflicts as they navigate health care but lack training to resolve these disputes. We sought to develop and pilot test an artificial‐intelligence negotiation training program, NegotiAge, for family caregivers. Methods: We convened negotiation experts, a geriatrician, a social worker, and community‐based family caregivers. Content matter experts created short videos to teach negotiation skills. Caregivers generated dialogue surrounding conflicts. Computer scientists utilized the dialogue with the Interactive Arbitration Guide Online (IAGO) platform to develop avatar‐based agents (e.g., sibling, older adult, physician) for caregivers to practice negotiating. Pilot testing was conducted with family caregivers to assess usability (USE) and satisfaction (open‐ended questions with thematic analysis). Results: Development: With NegotiAge, caregivers progress through didactic material, then receive scenarios to negotiate (e.g., physician recommends gastric tube, sibling disagrees with home support, older adult refusing support). Caregivers negotiate in real‐time with avatars who are designed to act like humans, including emotional tactics and irrational behaviors. Caregivers send/receive offers, using tactics until either mutual agreement or time expires. Immediate feedback is generated for the user to improve skills training. Pilot testing: Family caregivers (n = 12) completed the program and survey. USE questionnaire (Likert scale 1–7) subset scores revealed: (1) Useful—Mean 5.69 (SD 0.76); (2) Ease—Mean 5.24 (SD 0.96); (3) Learn—Mean 5.69 (SD 0.74); (4) Satisfy—Mean 5.62 (SD 1.10). Items that received over 80% agreements were: It helps me be more effective; It helps me be more productive; It is useful; It gives me more control over the activities in my life; It makes the things I want to accomplish easier to get done. Participants were highly satisfied and found NegotiAge fun to use (91.7%), with 100% who would recommend it to a friend. Conclusion: NegotiAge is an Artificial‐Intelligent Caregiver Negotiation Program, that is usable and feasible for family caregivers to become familiar with negotiating conflicts commonly seen in health care. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of the American Geriatrics Society 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=176608234
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/jgs.18775
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      – Code: eng
        Text: English
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        PageCount: 10
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    Subjects:
      – SubjectFull: Community health services
        Type: general
      – SubjectFull: Scale analysis (Psychology)
        Type: general
      – SubjectFull: Human services programs
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Social workers
        Type: general
      – SubjectFull: Satisfaction
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Negotiation
        Type: general
      – SubjectFull: Conflict (Psychology)
        Type: general
      – SubjectFull: Pilot projects
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Services for caregivers
        Type: general
      – SubjectFull: Families
        Type: general
      – SubjectFull: Emotions
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Caregivers
        Type: general
      – SubjectFull: Thematic analysis
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      – SubjectFull: Avatars (Virtual reality)
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      – SubjectFull: Video recording
        Type: general
      – SubjectFull: Caregiver attitudes
        Type: general
      – SubjectFull: Training
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      – TitleFull: NegotiAge: Development and pilot testing of an artificial intelligence‐based family caregiver negotiation program.
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            – D: 01
              M: 04
              Text: Apr2024
              Type: published
              Y: 2024
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