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pro vyhledávání: '"Draxler, Fiona"'
Large language models (LLMs) like ChatGPT have been widely adopted in work contexts. We explore the impact of ChatGPT on young professionals' perception of productivity and sense of accomplishment. We collected LLMs' main use cases in knowledge work
Externí odkaz:
http://arxiv.org/abs/2404.12549
Autor:
Draxler, Fiona, Buschek, Daniel, Tavast, Mikke, Hämäläinen, Perttu, Schmidt, Albrecht, Kulshrestha, Juhi, Welsch, Robin
Large Language Models (LLMs) such as ChatGPT have become increasingly integrated into critical activities of daily life, raising concerns about equitable access and utilization across diverse demographics. This study investigates the usage of LLMs am
Externí odkaz:
http://arxiv.org/abs/2310.06556
Autor:
Draxler, Fiona, Weingärtner, Henrike, Windl, Maximiliane, Schmidt, Albrecht, Chuang, Lewis L.
Captions provide language learners with a scaffold for comprehension and vocabulary acquisition. Past work has proposed several enhancements such as keyword highlights for increased learning gains. However, little is known about learners' experience
Externí odkaz:
http://arxiv.org/abs/2307.05870
Autor:
Draxler, Fiona, Werner, Anna, Lehmann, Florian, Hoppe, Matthias, Schmidt, Albrecht, Buschek, Daniel, Welsch, Robin
Human-AI interaction in text production increases complexity in authorship. In two empirical studies (n1 = 30 & n2 = 96), we investigate authorship and ownership in human-AI collaboration for personalized language generation. We show an AI Ghostwrite
Externí odkaz:
http://arxiv.org/abs/2303.03283
Akademický článek
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Autor:
Draxler, Fiona, Werner, Anna, Lehmann, Florian, Hoppe, Matthias, Schmidt, Albrecht, Buschek, Daniel, Welsch, Robin
Human-AI interaction in text production increases complexity in authorship. In two empirical studies (n1 = 30 & n2 = 96), we investigate authorship and ownership in human-AI collaboration for personalized language generation models. We show an AI Gho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a50886c88fe5f4a092e05a18ac65669
http://arxiv.org/abs/2303.03283
http://arxiv.org/abs/2303.03283
This paper explores the use of GPT (Generative Pre-trained Transformer), a type of artificial intelligence, in scientific writing and its potential impact on the scientific community. The authors consider the capabilities of GPT in generating high-qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d484c1828cf66562fe79a546abc1cc0
Publikováno v:
Mensch und Computer 2022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fd2311f94b4ce18d3c035df17be0628
https://doi.org/10.1145/3543758.3543777
https://doi.org/10.1145/3543758.3543777
Autor:
Draxler, Fiona, Feitsch, Jochen, Neuhaus, Robin, Ringfort-Felner, Ronda, Wieland, Markus, Hassenzahl, Marc, Geiger, Chris
Virtuelle und augmentierte Realität (VR/AR) sind mittlerweile wesentliche Technologien in vielen gesellschaftlichen Bereichen. So ermöglichen VR und AR digitale Partizipation und Teilhabe etwa im Kontext sozialer, kultureller und wirtschaftlicher P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c10b2ec2b3002bc219f5feb7aaa17080