Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dalma Zilahy"'
Autor:
Dalma Zilahy, Gyula Mester
Publikováno v:
Interdisciplinary Description of Complex Systems, Vol 21, Iss 4, Pp 351-355 (2023)
Reducing the negative emotions experienced in Self-Driving cars is key to increasing the number of users. To reduce anxiety, AI-based systems that measure the physiological response of passengers, mainly using biometric data, are used. In the future,
Externí odkaz:
https://doaj.org/article/0568216ded4349faa1f2e056248000e0
Autor:
Dalma Zilahy
Publikováno v:
Interdisciplinary Description of Complex Systems, Vol 21, Iss 2, Pp 199-205 (2023)
Automated vehicle acceptance is needed to improve road safety, reduce congestion, reduce pollution and to meet a number of higher-level goals. To date, little is known about the factors that actually influence drivers’ acceptance or rejection of Se
Externí odkaz:
https://doaj.org/article/7c2438bbe5e04a558b8760b83a196c7c
Autor:
Zsolt Demetrovics, Gyöngyi Kökönyei, Eszter Harmath, Judit Farkas, Mark D. Griffiths, Antónia Reindl, Barbara Mervó, Andrea Kertész, Róbert Urbán, Attila Oláh, Csilla Ágoston, Katalin Nagygyörgy, Dalma Zilahy
Publikováno v:
International Journal of Human-Computer Interaction. 29:192-200
To date, there has been relatively little research comparing different types of online gamers. The main aim of this study was to provide robust benchmark data on different types of Massively Multiplayer Online Game (MMOG) players using a large sample
Autor:
Róbert Urbán, Eszter Harmath, Dalma Zilahy, Csilla Ágoston, Katalin Nagygyörgy, Andrea Kertész, Zsolt Demetrovics, Judit Farkas, Antónia Reindl, Barbara Mervó
Publikováno v:
Behavior Research Methods. 43:814-825
Although the majority of research focuses on the risks and disadvantages of online gaming, the present authors suggest that online games also represent new ways of satisfying basic human needs within the conditions of modern society. The aim of our p