Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Szymon Bobek"'
BIRAFFE2, a multimodal dataset for emotion-based personalization in rich affective game environments
Autor:
Krzysztof Kutt, Dominika Drążyk, Laura Żuchowska, Maciej Szelążek, Szymon Bobek, Grzegorz J. Nalepa
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-15 (2022)
Measurement(s) personality trait • gaming experience • game experience • Electrocardiography • Galvanic Skin Response • Accelerometer • Gyroscope • In-Game Activity • Facial Expression • Emotion • Screen recording • Age Technolo
Externí odkaz:
https://doaj.org/article/5a78bbf63c2b43d89d5cfe153d060dea
Publikováno v:
IEEE Access, Vol 10, Pp 101556-101574 (2022)
Explainable Artificial Intelligence (XAI) aims to introduce transparency and intelligibility into the decision-making process of AI systems. Most often, its application concentrates on supervised machine learning problems such as classification and r
Externí odkaz:
https://doaj.org/article/fd855002cd9042649ba36a2b94cad0cc
Autor:
Szymon Bobek, Sławomir K. Tadeja, Łukasz Struski, Przemysław Stachura, Timoleon Kipouros, Jacek Tabor, Grzegorz J. Nalepa, Per Ola Kristensson
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 331 (2021)
We present a refinement of the Immersive Parallel Coordinates Plots (IPCP) system for Virtual Reality (VR). The evolved system provides data-science analytics built around a well-known method for visualization of multidimensional datasets in VR. The
Externí odkaz:
https://doaj.org/article/f1253b4c650d46caac23eb2723a20a68
Publikováno v:
Sensors, Vol 22, Iss 1, p 291 (2021)
Development of predictive maintenance (PdM) solutions is one of the key aspects of Industry 4.0. In recent years, more attention has been paid to data-driven techniques, which use machine learning to monitor the health of an industrial asset. The maj
Externí odkaz:
https://doaj.org/article/f76ad32a61c24968824a2329f1a856ab
Publikováno v:
Expert Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d9f080905ad284980aa3cbaa9b84d12
https://doi.org/10.1111/exsy.13319
https://doi.org/10.1111/exsy.13319
Publikováno v:
Sensors, Vol 21, Iss 13, p 4322 (2021)
Mining ubiquitous sensing data is important but also challenging, due to many factors, such as heterogeneous large-scale data that is often at various levels of abstraction. This also relates particularly to the important aspects of the explainabilit
Externí odkaz:
https://doaj.org/article/eb3e34cd7f424fe99ea7f089c5d0970f
Publikováno v:
Sensors, Vol 21, Iss 1, p 163 (2020)
In this article, we propose using personality assessment as a way to adapt affective intelligent systems. This psychologically-grounded mechanism will divide users into groups that differ in their reactions to affective stimuli for which the behaviou
Externí odkaz:
https://doaj.org/article/89b5e787578a4d3b92fbac66dfd8e085
Analysis and Use of the Emotional Context with Wearable Devices for Games and Intelligent Assistants
Publikováno v:
Sensors, Vol 19, Iss 11, p 2509 (2019)
In this paper, we consider the use of wearable sensors for providing affect-based adaptation in Ambient Intelligence (AmI) systems. We begin with discussion of selected issues regarding the applications of affective computing techniques. We describe
Externí odkaz:
https://doaj.org/article/1522fab763c5443a9a163124b6e38617
Publikováno v:
Computational Science – ICCS 2022 ISBN: 9783031087561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a155e045456697a5dc32500944080f39
https://doi.org/10.1007/978-3-031-08757-8_55
https://doi.org/10.1007/978-3-031-08757-8_55
