Psychophysiological Indicators for Modeling User Experience in Interactive Digital Entertainment

Sensors
Martin ČertickýFilippo Cavallo

Abstract

Analyses of user experience in the electronic entertainment industry currently rely on self-reporting methods, such as surveys, ratings, focus group interviews, etc. We argue that self-reporting alone carries inherent problems-mainly the misinterpretation and temporal delay during longer experiments-and therefore, should not be used as a sole metric. To tackle this problem, we propose the possibility of modeling consumer experience using psychophysiological measures and demonstrate how such models can be trained using machine learning methods. We use a machine learning approach to model user experience using real-time data produced by the autonomic nervous system and involuntary psychophysiological responses. Multiple psychophysiological measures, such as heart rate, electrodermal activity, and respiratory activity, have been used in combination with self-reporting to prepare training sets for machine learning algorithms. The training data was collected from 31 participants during hour-long experiment sessions, where they played multiple video-games. Afterwards, we trained and compared the results of four different machine learning models, out of which the best one produced ∼96% accuracy. The results suggest that psychophysiolo...Continue Reading

References

Dec 5, 1998·Brain Research. Cognitive Brain Research·M E SmithA Gevins
Apr 25, 2008·International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology·Maurizio CodispotiBruno Baldaro
Apr 8, 2010·Biological Psychology·Sylvia D Kreibig
Aug 2, 2013·Therapeutic Advances in Musculoskeletal Disease·Vijay Rao, Simon Bowman
Aug 25, 2015·Aggressive Behavior·Ruth L DiazVina M Goghari

❮ Previous
Next ❯

Methods Mentioned

BETA
chip
feature extraction

Software Mentioned

Neurosky Mindwave Mobile
AMLS
Tensorflow
Nevermind
Azure Machine Learning Studio
SelectKBest
Arduino
NeuroSky
Azure

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.

Related Papers

Voenno-medit︠s︡inskiĭ zhurnal
V I KazakovV V Katsiuk
Bulletin of the New York Academy of Medicine
W L Brown
Medicine and Science in Sports and Exercise
Silke BoettgerKarl-Jürgen Bär
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Dilranjan S WickramasuriyaRose T Faghih
© 2022 Meta ULC. All rights reserved