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Data · dataset · 2024

Dataset for "Sweating the Details: Emotion Recognition and the Influence of Physical Exertion in Virtual Reality Exergaming" and EmoSense SDK

Listed in University of Bath Research Data Archive

All the raw participant data that was used for the EmoSense SDK and the CHI 2024 paper "Sweating the Details: Emotion Recognition and the Influence of Physical Exertion in Virtual Reality Exergaming".

Description

There is data for 72 participants. Each participant has 10 csv files: 2 aggregated calibration, 2 raw calibration, 3 raw study - These files contain sensor measures under different conditions - and 3 affect response files - participant ground truth measures of affect.

Questionnaire_Data contains post exercise-bout measures of intrinsic motivation and flow. Baseline_Affect_Data is prestudy participant ground truth affect measures. Aggregated_Data contains an aggregate file of all participant data that was used for the analysis described in the CHI paper.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
University of Bath Research Data Archiveoai:researchdata.bath.ac.uk:13722 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:5204enrichment · researchdata bath ac uktaxonomy-embedding@1.1.0title+keywords+description (74%)
concepts[field].local:field:earth-environmentalmapping · researchdata bath ac ukconnector:researchdata_bath_ac_uk@1.0.0
concepts[field].local:field:psychology-behavioralmapping · researchdata bath ac ukconnector:researchdata_bath_ac_uk@1.0.0
descriptionsource · researchdata bath ac ukconnector:researchdata_bath_ac_uk@1.0.0/metadata/dc/description
publication_datesource · researchdata bath ac ukconnector:researchdata_bath_ac_uk@1.0.0
titlesource · researchdata bath ac ukconnector:researchdata_bath_ac_uk@1.0.0/metadata/dc/title