Zobrazeno 1 - 10
of 318
pro vyhledávání: '"Kraus, Matthias"'
The concept of a Human-AI team has gained increasing attention in recent years. For effective collaboration between humans and AI teammates, proactivity is crucial for close coordination and effective communication. However, the design of adequate pr
Externí odkaz:
http://arxiv.org/abs/2304.11913
Autor:
Heimerl, Alexander, Prajod, Pooja, Mertes, Silvan, Baur, Tobias, Kraus, Matthias, Liu, Ailin, Risack, Helen, Rohleder, Nicolas, André, Elisabeth, Becker, Linda
We present a multi-modal stress dataset that uses digital job interviews to induce stress. The dataset provides multi-modal data of 40 participants including audio, video (motion capturing, facial recognition, eye tracking) as well as physiological i
Externí odkaz:
http://arxiv.org/abs/2303.07742
Using robots in educational contexts has already shown to be beneficial for a student's learning and social behaviour. For levitating them to the next level of providing more effective and human-like tutoring, the ability to adapt to the user and to
Externí odkaz:
http://arxiv.org/abs/2212.10346
The next step for intelligent dialog agents is to escape their role as silent bystanders and become proactive. Well-defined proactive behavior may improve human-machine cooperation, as the agent takes a more active role during interaction and takes o
Externí odkaz:
http://arxiv.org/abs/2211.15359
Autor:
Diehl, Alexandra, Abdul-Rahman, Alfie, Bach, Benjamin, El-Assady, Mennatallah, Kraus, Matthias, Laramee, Robert S., Keim, Daniel A., Chen, Min
Grounded theory (GT) is a research methodology that entails a systematic workflow for theory generation grounded on emergent data. In this paper, we juxtapose GT workflows with typical workflows in visualization and visual analytics, shortly VIS, and
Externí odkaz:
http://arxiv.org/abs/2203.01777
Autor:
Ibáñez, Stalin, Kraus, Matthias
Publikováno v:
In Results in Engineering June 2024 22
Autor:
Diehl, Alexandra, Kraus, Matthias, Abdul-Rahman, Alfie, El-Assady, Mennatallah, Bach, Benjamin, Laramee, Robert Steven, Keim, Daniel, Chen, Min
Visualization guidelines, if defined properly, are invaluable to both practical applications and the theoretical foundation of visualization. In this paper, we present a collection of research activities for studying visualization guidelines accordin
Externí odkaz:
http://arxiv.org/abs/2010.09040
Autor:
Merino, Leonel, Schwarzl, Magdalena, Kraus, Matthias, Sedlmair, Michael, Schmalstieg, Dieter, Weiskopf, Daniel
We present a systematic review of 458 papers that report on evaluations in mixed and augmented reality (MR/AR) published in ISMAR, CHI, IEEE VR, and UIST over a span of 11 years (2009-2019). Our goal is to provide guidance for future evaluations of M
Externí odkaz:
http://arxiv.org/abs/2010.05988
Autor:
Miller, Matthias, Schäfer, Hanna, Kraus, Matthias, Leman, Marc, Keim, Daniel, El-Assady, Mennatallah
In this position paper, we frame the field of Visual Musicology by providing an overview of well-established musicological sub-domains and their corresponding analytic and visualization tasks. To foster collaborative, interdisciplinary research, we d
Externí odkaz:
http://arxiv.org/abs/1908.10411
In this paper, we postulate that combining the domains of information visualization and music studies paves the ground for a more structured analysis of the design space of music notation, enabling the creation of alternative music notations that are
Externí odkaz:
http://arxiv.org/abs/1810.10814