Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Tine Kolenik"'
Autor:
Martin Gjoreski, Bhargavi Mahesh, Tine Kolenik, Jens Uwe-Garbas, Dominik Seuss, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams, Veljko Pejovic
Publikováno v:
IEEE Access, Vol 9, Pp 103325-103336 (2021)
To further extend the applicability of wearable sensors, methods for accurately extracting subtle psychological information from the sensor data are required. However, accessing subjective information in everyday life, such as cognitive load, remains
Externí odkaz:
https://doaj.org/article/f18dd70d5d9945938a66d616c9643649
Publikováno v:
Behavioral Sciences, Vol 12, Iss 5, p 116 (2022)
The growing ubiquity of smartphones and the ease of creating and distributing applications render the mobile platform an attractive means for facilitating positive behavior change at scale. Within the smartphone as a behavior change support system, m
Externí odkaz:
https://doaj.org/article/899f9393279d4d678203d219820e2262
Autor:
Martin Gjoreski, Tine Kolenik, Timotej Knez, Mitja Luštrek, Matjaž Gams, Hristijan Gjoreski, Veljko Pejović
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3843 (2020)
This study introduces two datasets for multimodal research on cognitive load inference and personality traits. Different to other datasets in Affective Computing, which disregard participants’ personality traits or focus only on emotions, stress, o
Externí odkaz:
https://doaj.org/article/3b51c004d94c43559fb3cf89c236cb5d
Autor:
Matjaz Gams, Tine Kolenik
Publikováno v:
IEEE Technology and Society Magazine. 40:80-86
The increasing trend of mental health issues, especially among younger people, is not a new phenomenon. World organizations, leaders, and decision-makers are recognizing its devastating effect, resulting in mental health well-being appearing in goal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb83530f62d88c7fc662ce4cf4006c7c
https://doi.org/10.1109/mts.2021.3056288
https://doi.org/10.1109/mts.2021.3056288
Autor:
Tine Kolenik
Publikováno v:
Internet of Things ISBN: 9783030911805
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f0d746bf3297e904227c492f8e34375
https://doi.org/10.1007/978-3-030-91181-2_7
https://doi.org/10.1007/978-3-030-91181-2_7
Autor:
Tine Kolenik
Publikováno v:
Interdisciplinary Description of Complex Systems, Vol 16, Iss 4, Pp 545-557 (2018)
Interdisciplinary Description of Complex Systems : INDECS
Volume 16
Issue 4
Interdisciplinary Description of Complex Systems : INDECS
Volume 16
Issue 4
Computational modelling has a rich history of successful use in researching cognitive phenomena. Its discoveries and applications do not seem to be stopping, yet with the rise of contemporary cognitive science paradigms, its scope and limits have bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8ee11f3658a516149849d08a9b5b7a0
http://indecs.eu/2018/indecs2018-pp545-557.pdf
http://indecs.eu/2018/indecs2018-pp545-557.pdf
Autor:
Tine Kolenik, Matjaž Gams
Publikováno v:
Electronics, Vol 10, Iss 514, p 514 (2021)
This paper presents relations between information society (IS), electronics and artificial intelligence (AI) mainly through twenty-four IS laws. The laws not only make up a novel collection, currently non-existing in the literature, but they also hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a68b4b1731765409dfb426ac05f6ea7
https://www.mdpi.com/2079-9292/10/4/514
https://www.mdpi.com/2079-9292/10/4/514
Autor:
Niels van Berkel, Anja Exler, Martin Gjoreski, Tine Kolenik, Tadashi Okoshi, Veljko Pejovic, Aku Visuri, Alexandra Voit
Publikováno v:
Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28ba61f16b01f8d3b3c13af1441b7b46
https://doi.org/10.1145/3410530.3414616
https://doi.org/10.1145/3410530.3414616
Autor:
Mitja Luštrek, Hristijan Gjoreski, Martin Gjoreski, Timotej Knez, Matjaž Gams, Veljko Pejovic, Tine Kolenik
Publikováno v:
Applied Sciences
Volume 10
Issue 11
Applied Sciences, Vol 10, Iss 3843, p 3843 (2020)
Applied sciences, vol. 10, no. 11, 3843, 2020.
Volume 10
Issue 11
Applied Sciences, Vol 10, Iss 3843, p 3843 (2020)
Applied sciences, vol. 10, no. 11, 3843, 2020.
This study introduces two datasets for multimodal research on cognitive load inference and personality traits. Different to other datasets in Affective Computing, which disregard participants&rsquo
personality traits or focus only on emotions, s
personality traits or focus only on emotions, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccf0473edff189185f0e9ff519e13467
Publikováno v:
Cognitive Systems Research. 49:157-177
From the onset of cognitive revolution, the concept of mental imagery has been given different, many times opposing, theoretical accounts. Mental imagery appears to be a ubiquitous, yet wholly individual, easy to explain experience on the one hand, b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4003f57ac2b24081175951711cd79bb9
https://doi.org/10.1016/j.cogsys.2018.01.005
https://doi.org/10.1016/j.cogsys.2018.01.005