Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Ekaterina Olshannikova"'
Autor:
Rustam Pirmagomedov, Aleksandr Ometov, Dmitri Moltchanov, Xi Lu, Roman Kovalchukov, Ekaterina Olshannikova, Sergey Andreev, Yevgeni Koucheryavy, Mischa Dohler
Publikováno v:
IEEE Access, Vol 8, Pp 50983-50994 (2020)
Wireless traffic produced by modern mobile devices displays high temporal and spatial dynamics as users spontaneously engage in collective applications where a significant portion of generated data remains localized. As a result, conventional service
Externí odkaz:
https://doaj.org/article/84aaaa39b5df4fd68bef18b76e601278
Publikováno v:
Advances in Human-Computer Interaction, Vol 2022 (2022)
Social recommender systems, such as “Who to follow” on Twitter, utilize approaches that recommend friends of a friend or interest-wise similar people. Such algorithmic approaches have been criticized for resulting in filter bubbles and echo chamb
Externí odkaz:
https://doaj.org/article/c325e5b6575d42ea8b659c321f39e3af
Publikováno v:
Advances in Human-Computer Interaction, Vol 2021 (2021)
Serendipity refers to unexpected encounters with ideas or insights and their intentional application to achieve favorable outcomes. Despite extensive prior studies, the concept lacks theoretical logic and empirical validation regarding the role of an
Externí odkaz:
https://doaj.org/article/f3f031e82a9f44679b232256683517cc
Publikováno v:
Advances in Human-Computer Interaction, Vol 2020 (2020)
Serendipity refers to uncontrolled circumstances that lead to unexpected yet fortunate discoveries. The phenomenon has been studied extensively in relation to information retrieval. However, serendipity in the context of social encounters has been th
Externí odkaz:
https://doaj.org/article/0edd35dfd54a438cbd3bd7d9a3759de7
Autor:
Ekaterina Olshannikova, Aleksandr Ometov, Tatiana Anagnostaki, Nazia Hasan, Ayzhan Kuketaeva, Aino Ahtinen, Thomas Olsson, Yevgeni Koucheryavy
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 420, Iss 19, Pp 173-181 (2016)
This paper presents a conceptual design of a dynamic and personalizable knowledge workspace suitable for collaboration in academic contexts. The concept of such workspace is aimed to cater the needs of students - as knowledge workers - for flexibilit
Externí odkaz:
https://doaj.org/article/a7bd5bd463fd425aa4149a5970eb9640
Autor:
Aleksandr Ometov, Ekaterina Olshannikova, Pavel Masek, Thomas Olsson, Jiri Hosek, Sergey Andreev, Yevgeni Koucheryavy
Publikováno v:
IEEE Access, Vol 4, Pp 7692-7702 (2016)
Today, direct contacts between users are being facilitated by the network-assisted device-to-device (D2D) technology, which employs the omnipresent cellular infrastructure for the purposes of control to facilitate advanced mobile social applications.
Externí odkaz:
https://doaj.org/article/a9af7a969ecc44b1850d931e298cf414
Serendipity experiences are highly desirable in work life, considering both individuals' learning and organizational innovation capacity. This study looks into information and social serendipity in the context of Twitter. While Twitter can be viewed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0398cd182e475c68b16f7c957593bfb
https://trepo.tuni.fi/handle/10024/144258
https://trepo.tuni.fi/handle/10024/144258
Publikováno v:
Computer Supported Cooperative Work (CSCW). 30:589-616
The team composition of a project team is an essential determinant of the success of innovation projects that aim to produce novel solution ideas. Team assembly is essentially complex and sensitive decision-making, yet little supported by information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51bb73e45aead24d208032d6e87e612c
https://doi.org/10.1007/s10606-021-09413-4
https://doi.org/10.1007/s10606-021-09413-4
Publikováno v:
Advances in Human-Computer Interaction, Vol 2022 (2022)
Social recommender systems, such as “Who to follow” on Twitter, utilize approaches that recommend friends of a friend or interest-wise similar people. Such algorithmic approaches have been criticized for resulting in filter bubbles and echo chamb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b52e9783d6cbaae3fc7d7c38234cec3
https://doaj.org/article/c325e5b6575d42ea8b659c321f39e3af
https://doaj.org/article/c325e5b6575d42ea8b659c321f39e3af
Publikováno v:
Computer Supported Cooperative Work (CSCW). 28:357-389
Collaboration and social networking are increasingly important for academics, yet identifying relevant collaborators requires remarkable effort. While there are various networking services optimized for seeking similarities between the users, the sch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ef2dfd2694cc024ab23f8e09e0895a2
https://doi.org/10.1007/s10606-019-09349-w
https://doi.org/10.1007/s10606-019-09349-w