Esports and Visual Attention: Evaluating In-Game Advertising through Eye-Tracking during the Game Viewing Experience.

Twitch advertising esports eye tracking gaming in-game advertising (IGA) visual attention

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
04 Oct 2022
Historique:
received: 06 09 2022
revised: 23 09 2022
accepted: 30 09 2022
entrez: 27 10 2022
pubmed: 28 10 2022
medline: 28 10 2022
Statut: epublish

Résumé

In recent years, technological advances and the introduction of social streaming platforms (e.g., Twitch) have contributed to an increase in the popularity of esports, a highly profitable industry with millions of active users. In this context, there is little evidence, if any, on how users perceive in-game advertising (IGA) and other key elements of the game viewing experience (e.g., facecam and chat) in terms of visual attention. The present eye-tracking study aimed at investigating those aspects, and introducing an eye-tracking research protocol specifically designed to accurately measure the visual attention associated with key elements of the game viewing experience. Results showed that (1) the ads available in the game view (IGAs) are capable altogether to attract 3.49% of the users' visual attention; (2) the chat section draws 10.68% of the users' visual attention and more than the streamer's face, known as a powerful attentional driver; (3) the animated ad format elicits higher visual attention (1.46%) than the static format (1.12%); and (4) in some circumstances, the visual attention elicited by the ads is higher in the "Goal" scenes (0.69%) in comparison to "No-Goal" scenes (0.51%). Relevant managerial implications and future directions for the esports industry are reported and discussed.

Identifiants

pubmed: 36291279
pii: brainsci12101345
doi: 10.3390/brainsci12101345
pmc: PMC9599612
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Marco Mancini (M)

BrainSigns Srl, Via Lungotevere Michelangelo 9, 00192 Rome, Italy.
Faculty of Economics, UNINT-Università degli Studi Internazionali di Roma, Via delle Sette Chiese 139, 00147 Rome, Italy.

Patrizia Cherubino (P)

BrainSigns Srl, Via Lungotevere Michelangelo 9, 00192 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, Viale Regina Elena 291, 00161 Rome, Italy.

Giulia Cartocci (G)

BrainSigns Srl, Via Lungotevere Michelangelo 9, 00192 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, Viale Regina Elena 291, 00161 Rome, Italy.

Ana Martinez (A)

BrainSigns Srl, Via Lungotevere Michelangelo 9, 00192 Rome, Italy.
Department of Communication and Social Research, Sapienza University of Rome, Via Salaria 113, 00198 Rome, Italy.

Gianluca Di Flumeri (G)

BrainSigns Srl, Via Lungotevere Michelangelo 9, 00192 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, Viale Regina Elena 291, 00161 Rome, Italy.

Luca Petruzzellis (L)

Department of Physics, University of Bari Aldo Moro, Via Orabona 4, 70125 Bari, Italy.

Michele Cimini (M)

Department of Physics, University of Bari Aldo Moro, Via Orabona 4, 70125 Bari, Italy.

Pietro Aricò (P)

BrainSigns Srl, Via Lungotevere Michelangelo 9, 00192 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, Viale Regina Elena 291, 00161 Rome, Italy.
Department of Computer, Control and Management Engineering "Antonio Ruberti", Sapienza University of Rome, 00185 Rome, Italy.

Arianna Trettel (A)

BrainSigns Srl, Via Lungotevere Michelangelo 9, 00192 Rome, Italy.

Fabio Babiloni (F)

BrainSigns Srl, Via Lungotevere Michelangelo 9, 00192 Rome, Italy.
Department of Molecular Medicine, Sapienza University of Rome, Viale Regina Elena 291, 00161 Rome, Italy.
College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310005, China.

Classifications MeSH