Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mazen Salous"'
Autor:
Mazen Salous, Dennis Kuster, Kevin Scheck, Aytac Dikfidan, Tim Neumann, Felix Putze, Tanja Schultz
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1da90bd46ba3adb70ab5e7dceaf34c72
https://doi.org/10.1109/smc53654.2022.9945155
https://doi.org/10.1109/smc53654.2022.9945155
Publikováno v:
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac4a08eeed482e1d64df6d95f403153f
https://doi.org/10.1109/smc52423.2021.9659065
https://doi.org/10.1109/smc52423.2021.9659065
Autor:
Mazen Salous, Felix Putze
Publikováno v:
IUI
Human Computer Interaction can be impeded by various interaction obstacles, impacting a user’s perception or cognition. In this work, we detect and discriminate such interaction obstacles from different data modalities to compensate for them throug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce72d42dfa5338bf7efd6b0dfb15267c
https://doi.org/10.1145/3397481.3450641
https://doi.org/10.1145/3397481.3450641
Publikováno v:
SMC
Human Computer Interaction (HCI) performance can be impaired by several HCI obstacles. Cognitive adaptive systems should dynamically detect such obstacles and compensate them with suitable User Interface (UI) adaptation. In this paper, we discuss the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::426e497fdc550ec2322c3315aaa3a836
https://doi.org/10.1109/smc.2019.8914233
https://doi.org/10.1109/smc.2019.8914233
Publikováno v:
MCPMD@ICMI
Multimodal data is increasingly used in cognitive prediction models to better analyze and predict different user cognitive processes. Classifiers based on such data, however, have different performance characteristics. We discuss in this paper an int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9624e885f47f9e1545c2e64fa3125fe6
https://doi.org/10.1145/3279810.3279841
https://doi.org/10.1145/3279810.3279841
Publikováno v:
IUI
A memory-based interaction obstacle is a condition which impedes human memory during Human-Computer Interaction, for example a memory-loading secondary task. In this paper, we present an approach to detect the presence of such memory-based interactio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3231eac5edbfb12caa7d5814d4b9a872
https://doi.org/10.1145/3172944.3173006
https://doi.org/10.1145/3172944.3173006
Autor:
Tanja Schultz, Christian Herff, Simon Stelter, Felix Putze, Jochen Weiner, Eike Externest, Dennis Küster, Lorenz Diener, Mazen Salous, Hui Liu, Sebastian Kühl, Timo Schulze
Publikováno v:
KI 2017: Advances in Artificial Intelligence ISBN: 9783319671895
KI
KI
Big data is a hot topic in research and industry. The availability of data has never been as high as it is now. Making good use of the data is a challenging research topic in all aspects of industry and society. The Bremen Big Data Challenge invites
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3870e84d5c0abd2bf9ba733d833e4054
https://doi.org/10.1007/978-3-319-67190-1_35
https://doi.org/10.1007/978-3-319-67190-1_35
