• GameVibe : a multimodal affect...

*Result*: GameVibe : a multimodal affective game corpus

Title:
GameVibe : a multimodal affective game corpus
Authors:
Barthet, Matthew, Kaselimi, Maria, Pinitas, Kosmas, Makantasis, Konstantinos, Liapis, Antonios, Yannakakis, Georgios N.
Publisher Information:
Nature Research
Publication Year:
2024
Collection:
University of Malta: OAR@UM / L-Università ta' Malta
Subject Terms:
Artificial emotional intelligence, Human-computer interaction, User interfaces (Computer systems), Computer games, Data sets
Document Type:
*Academic Journal* article in journal/newspaper
Language:
English
Relation:
Barthet, M., Kaselimi, M., Pinitas, K., Makantasis, K., Liapis, A., & Yannakakis, G. N. (2024). GameVibe: a multimodal affective game corpus. Scientific Data, 11(1), 1306.; https://www.um.edu.mt/library/oar/handle/123456789/135728
Availability:
https://www.um.edu.mt/library/oar/handle/123456789/135728
Rights:
info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.
Accession Number:
edsbas.707F3C87
Database:
BASE

*Further Information*

*As online video and streaming platforms continue to grow, affective computing research has undergone a shift towards more complex studies involving multiple modalities. However, there is still a lack of readily available datasets with high-quality audiovisual stimuli. In this paper, we present GameVibe, a novel affect corpus which consists of multimodal audiovisual stimuli, including in-game behavioural observations and third-person affect traces for viewer engagement. The corpus consists of videos from a diverse set of publicly available gameplay sessions across 30 games, with particular attention to ensure high-quality stimuli with good audiovisual and gameplay diversity. Furthermore, we present an analysis on the reliability of the annotators in terms of inter-annotator agreement. ; peer-reviewed*