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Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
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Developing Methods That Facilitate Coding and Analysis of Synchronous Conversations via Virtual Environments.

Allison A Lewinski1, Ruth A Anderson2, Allison A Vorderstrasse3

  • 1Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC, USA.

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|May 28, 2019
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Summary
This summary is machine-generated.

Internet programs capture rich qualitative data by analyzing online community conversations. This study details a combined content and discourse analysis method for understanding chronic illness support exchanges.

Keywords:
Internetcontent analysisqualitative analysisqualitative research methodssynchronous conversationsvirtual environments

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Area of Science:

  • Digital Health
  • Qualitative Research Methods
  • Online Communities

Background:

  • Internet programs facilitate the creation of online communities for individuals with chronic illnesses.
  • These communities enable the exchange of information and social support.
  • Synchronous online conversations offer insights into real-time social interactions.

Purpose of the Study:

  • To describe the application of qualitative methods for analyzing synchronous Internet-mediated conversations.
  • To analyze both the content of discussions and the interaction dynamics within online health communities.

Main Methods:

  • Utilized content analysis, incorporating elements of conversation and discourse analysis.
  • Analyzed synchronous conversations from Internet-based programs.
  • Focused on understanding *what* individuals discuss and *how* they interact online.

Main Results:

  • Demonstrated a combined qualitative approach to analyze complex online conversational data.
  • Provided a framework for examining both the topics and interaction patterns in Internet-mediated communication.
  • Highlighted the value of integrated methods for rich data analysis.

Conclusions:

  • Combining qualitative methods enhances the analysis of complex, real-time conversational data from Internet interventions.
  • This approach offers valuable insights into social interaction and support within online chronic illness communities.
  • The described methodology can be applied to various Internet-based research initiatives collecting conversational data.