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Related Concept Videos

Stress Prevention and Stress Management Techniques II01:23

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Personality types, particularly Type A and Type B, significantly influence how individuals respond to stress. These personality distinctions are marked by varying levels of ambition, competitiveness, and coping styles, all of which shape an individual's resilience to stressors.
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Studying Food Reward and Motivation in Humans
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Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study.

SoHyun Park1, Jeewon Choi2, Sungwoo Lee1

  • 1Human Centered Computing Lab., Seoul National University, Seoul, Republic of Korea.

Journal of Medical Internet Research
|April 17, 2019
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Summary

This study developed a chatbot for stress management using motivational interviewing (MI). Findings show that while evocative questions aided self-reflection, participants desired more contextualized feedback and information.

Keywords:
conversational agentsmental healthmotivational interviewingstress management

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Area of Science:

  • Psychology
  • Human-Computer Interaction
  • Digital Health

Background:

  • Motivational interviewing (MI) is expanding beyond addiction treatment to mental health.
  • Existing technological adaptations of MI often neglect its crucial relational component.
  • This study addresses the need for MI interventions that integrate both technical and relational aspects for mental health concerns.

Purpose of the Study:

  • To design a conversational sequence for a brief motivational interview.
  • To adapt this sequence for a Web-based text messaging application (chatbot).
  • To explore the conversational experience of graduate students using the chatbot for stress management.

Main Methods:

  • A conversational sequence incorporating MI skills and the 4 MI processes was designed.
  • A research prototype chatbot, Bonobot, was developed to deliver the sequence.
  • 30 graduate students experiencing academic stress participated in a survey and semistructured interviews analyzed thematically.

Main Results:

  • Participants reported high stress levels.
  • Key themes included preference for evocative questions, value of self-reflection, and a need for more contextualized and informational feedback.
  • While chatbot encouragements were appreciated, agent-generated feedback was often perceived as clichéd.

Conclusions:

  • A chatbot-delivered MI sequence can facilitate stress management conversations and self-reflection.
  • Further development requires more diverse conversational sequences and tailored feedback for an improved user experience.
  • The study highlights potential for technology-assisted MI in mental health support.