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Data · dataset · 2024

Virtual Blood Donation Study

Listed in IISH Dataverse

The dataset is part of the FAINT project.

Description

The participants were recruited via cloud-based participant management software (SONA) at Tilburg University. Participants were asked not to wear glasses during thermographic shots, and to be free from nicotine and caffeine at least 3 hours prior to the study.

The room temperature was T = 21.84 C (SD= 1.55), and the relative humidity was H = 42.54% (SD=3.15%). The experiment was approved by the Research Ethics and Data Management Committee of Tilburg School of Humanities and Digital Sciences (Approval Letter: 2019/72). On arrival, participants were given the first questionnaire, containing items regarding demographic variables.

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After the subjects completed the questionnaire, we assessed baseline vasovagal reaction levels using the Blood Donation Reactions Inventory and started a baseline thermal imaging recording (T= 2-5 minutes), with the participants at rest. Then, participants were exposed to the experiment; a virtual blood donation. This experiment is a virtual version of the Rubber Arm Illusion and we repeat the experimental setup and stimuli from Trost et al. (2017).

Finally, we asked participants to again rate their VVR responses. Thermal videos were recorded in raw (.sql) format and exported using the FLIR Research IR tool. For each frame, we exported a visual representation and the raw temperature values for post-processing.

For each participant, the start of the virtual blood donation (when the button on the computer screen was pressed and prerecorded videos started playing) was identified. As each prerecorded video file had the same length, we selected 3202 frames for each participant for further analysis. The needle was inserted at frame 1771.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Imaging 75% · Video 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
IISH Dataversedoi:10.34894/SP5SNY11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:medicine-health-and-life-sciencessource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].local:field:humanitiesmapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[modality].local:modality:imagingenrichment · datasets iisg amsterdamkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:videoenrichment · datasets iisg amsterdamkeyword-concept-rules@1.0.0title+description (75%)
created_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
descriptionsource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/description
publication_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
titlesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/name
updated_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
version_labelsource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0