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of 128
pro vyhledávání: '"Breiter, Andreas"'
Speech is one of the interaction modalities that we increasingly come across in natural user interfaces. However, its use in collaborative scenarios has not yet been thoroughly investigated. In this reflection statement, we discuss the opportunities
Externí odkaz:
http://arxiv.org/abs/2309.09781
With YouTube's growing importance as a news platform, its recommendation system came under increased scrutiny. Recognizing YouTube's recommendation system as a broadcaster of media, we explore the applicability of laws that require broadcasters to gi
Externí odkaz:
http://arxiv.org/abs/2107.09922
Choropleth maps are among the most common visualization techniques used to present geographical data. These maps require an equal-area projection but there are no clear criteria for selecting one. We collaborated with 20 social scientists researching
Externí odkaz:
http://arxiv.org/abs/2008.13592
Publikováno v:
Proc. ACM Hum.-Comput. Interact. 4, CSCW2, Article 121 (October 2020)
User beliefs about algorithmic systems are constantly co-produced through user interaction and the complex socio-technical systems that generate recommendations. Identifying these beliefs is crucial because they influence how users interact with reco
Externí odkaz:
http://arxiv.org/abs/2008.03202
Autor:
Heuer, Hendrik, Breiter, Andreas
Publikováno v:
MISDOOM 2020 - 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media
People are increasingly consuming news curated by machine learning (ML) systems. Motivated by studies on algorithmic bias, this paper explores which recommendations of an algorithmic news curation system users trust and how this trust is affected by
Externí odkaz:
http://arxiv.org/abs/2008.01988
Autor:
Heuer, Hendrik, Breiter, Andreas
Publikováno v:
UMAP 2020: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
This paper investigates the user experience of visualizations of a machine learning (ML) system that recognizes objects in images. This is important since even good systems can fail in unexpected ways as misclassifications on photo-sharing websites s
Externí odkaz:
http://arxiv.org/abs/2008.01980
Publikováno v:
Historical Social Research / Historische Sozialforschung, 2022 Jan 01. 473 (181), 142-170.
Externí odkaz:
https://www.jstor.org/stable/27176656
Akademický článek
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Autor:
Schiefner-Rohs, Mandy, Hofhues, Sandra, Breiter, Andreas
Mit der Optimierung des Lehrens und Lernens durch Daten, Zahlen und Algorithmen nehmen die Nutzung digital erzeugter Daten oder automatisierte Auswertungsmethoden zu. Daten lassen sich nahezu beliebig miteinander verknüpfen und digitale Geräte, ein
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/87486