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Induction efficacy of virtual environments simulating an image from the spontaneous healing intra-systemic process

dataset
posted on 2024-08-06, 13:44 authored by Adolf MalanAdolf Malan, Theo Bothma, Isak BosmanIsak Bosman

This dataset includes information that illustrates the induction efficacy of a virtual environment simulating a specific image from the spontaneous healing intra-systemic process (SHIP®). The study used a randomised clinical trial to compare the traditional spontaneous healing process (i.e., imagining requested stimuli) with a virtual reality method (i.e., immersion into a virtual environment simulating the requested stimuli). The following sets of data have been included:

  • The scores describing the imagination capabilities of participants as determined by a trained facilitator. (Excel)
  • The randomisation of participants with the lowest imagination capabilities into two homogeneous groups. (Excel)
  • The scores describing the usefulness of each participant's SHIP® session as determined by the facilitator. (Excel)
  • The processed helpful aspects of therapy data gathered by the facilitator during each participant's session. This data describes events, responses, and direct quotes from participants that were deemed helpful by the facilitator to the overall spontaneous healing process. The data for both groups are described in detail. (PDF)
  • The processed change interview data gathered during a semi-structured interview between the head researcher and the facilitator where the above-mentioned helpful aspects of therapy data were discussed. (PDF)
  • The transcriptions of the session recordings of each participant across the two groups, namely the control group and the virtual reality group.
  • The transcription of the change interview recording between the facilitator and head researcher. (PDF)

This data was analysed to determine how effective virtual environments are in inducing unique responses and how assistive these responses were to the overall process of SHIP®.

History

Department/Unit

Information Science

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