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Data · dataset · 2023

AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work

Listed in Borealis

We introduce AVCAffe, the first Audio-Visual dataset consisting of Cognitive load and Affect attributes.

Description

We record AVCAffe by simulating remote work scenarios over a video-conferencing platform, where subjects collaborate to complete a number of cognitively engaging tasks. AVCAffe is the largest originally collected (not collected from the Internet) affective dataset in English language.

We recruit 106 participants from 18 different countries of origin, spanning an age range of 18 to 57 years old, with a balanced male-female ratio. AVCAffe comprises a total of 108 hours of video, equivalent to more than 58,000 clips along with task-based self-reported ground truth labels for arousal, valence, and cognitive load attributes such as mental demand, temporal demand, effort, and a few others.

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Inferred from text
Video 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/PSWY6213 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:460802mapping · borealisdata cavocabulary-mapper@1.0.0keywords['Affective Computing']
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:engineeringsource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:engineeringmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:psychology-behavioralmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[modality].local:modality:videoenrichment · borealisdata cakeyword-concept-rules@1.0.0title+description (75%)
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
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