Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sebastian Höffner"'
Autor:
Daniel Beßler, Robert Porzel, Mihai Pomarlan, Abhijit Vyas, Sebastian Höffner, Michael Beetz, Rainer Malaka, John Bateman
In this paper, we present foundations of the Socio-physical Model of Activities (SOMA). SOMA represents both the physical as well as the social context of everyday activities. Such tasks seem to be trivial for humans, however, they pose severe proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06160a0185a65ed6c6107d3376b34ad0
https://doi.org/10.3233/faia210379
https://doi.org/10.3233/faia210379
Autor:
Felix Putze, Dmitry Alexandrovsky, Jan David Smeddinck, Sebastian Höffner, Susanne Putze, Rainer Malaka
Publikováno v:
CHI
Questionnaires are among the most common research tools in virtual reality (VR) evaluations and user studies. However, transitioning from virtual worlds to the physical world to respond to VR experience questionnaires can potentially lead to systemat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbcba1694b0bb247b5f9929ed2c4ef52
https://doi.org/10.1145/3313831.3376144
https://doi.org/10.1145/3313831.3376144
Autor:
Dmitry Alexandrovsky, Pitt Michelmann, Jan David Smeddinck, Sebastian Höffner, Rainer Malaka, Susanne Putze, Dirk Wenig, Michael Bonfert
Publikováno v:
CHI
Questionnaires are among the most common research tools in virtual reality (VR) user studies. Transitioning from virtuality to reality for giving self-reports on VR experiences can lead to systematic biases. VR allows to embed questionnaires into the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::786df5793291e54cbb206f40b251a2b9
https://doi.org/10.1145/3313831.3376260
https://doi.org/10.1145/3313831.3376260
Autor:
Vanja Sophie Cangalovic, Supara Grudpan, Rainer Malaka, Sebastian Höffner, Johannes Pfau, John A. Bateman, Mihai Pomarlan, Robert Porzel
Publikováno v:
Entertainment Computing and Serious Games ISBN: 9783030346430
ICEC-JCSG
ICEC-JCSG
In this paper, we introduce the framework of MEANinGS for the semi-autonomous accumulation of world knowledge for robots. Where manual aggregation is inefficient and prone to incompleteness and autonomous approaches suffer from underspecified informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48097e75bddca12066bdf025aac8246f
https://doi.org/10.1007/978-3-030-34644-7_7
https://doi.org/10.1007/978-3-030-34644-7_7