Oliver Korn

Prof. Dr. Oliver Korn

Human-Computer Interaction (HCI) and Director of the Affective & Cognitive Institute, University of Applied Sciences Offenburg, Offenburg, Germany
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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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JRJacqueline Ruth
Jacqueline Ruth
SWSteffen Willwacher
Steffen Willwacher
OKOliver Korn
Oliver Korn
In pandemic times, the possibilities for conventional sports activities are severely limited; many sports facilities are closed or can only be used with restrictions. To counteract this lack of health activities and social exchange, people are increasingly adopting new digital sports solutions—a behavior change that had already started with the trend towards fitness apps and activity trackers. Existing research suggests that digital solutions increase the motivation to move and stay active. This work further investigates the potentials of digital sports incorporating the dimensions gender and preference for team sports versus individual sports. The study focuses on potential users, who were mostly younger professionals and academics. The results show that the SARS-CoV-19 pandemic had a significant negative impact on sports activity, particularly on persons preferring team sports. To compensate, most participants use more digital sports than before, and there is a positive correlation between the time spent physically active during the pandemic and the increase in motivation through digital sports. Nevertheless, there is still considerable skepticism regarding the potential of digital sports solutions to increase the motivation to do sports, increase performance, or raise a sense of team spirit when done in groups.


7 June 2019
Verified
Book Chapter
Closed access
PDF file
LHLouisa Heimburger
Louisa Heimburger
LBLea Buchweitz
Lea Buchweitz
RGRuben Gouveia
Ruben Gouveia
OKOliver Korn
Oliver Korn

17 June 2024 in Proceedings of the ACM on Human-Computer Interaction
Verified
Journal Article
Open access
BSBenjamin Schnitzer
Benjamin Schnitzer
UVUmut Can Vural
Umut Can Vural
BSBastian Schnitzer
Bastian Schnitzer
MSMuhammad Usman Sardar
Muhammad Usman Sardar
OFOren Fuerst
Oren Fuerst
OKOliver Korn
Oliver Korn
An aging society paired with a skilled labor shortage, particularly in European countries, requires a rethinking of deprecated structures. Intelligent assistive technologies, specifically socially assistive robots, addressing the gap between caretakers and elderly people in need of care have moved into the focus of debate due to their potentials to reduce costs, improve independence, and eventually raise quality of life. In this work, we outline the potentials of zoomorphic robot companions combining intelligent conversational abilities and emotion recognition. We then describe the prototyping of an emotion-sensing zoomorphic interactive robot companion including the development and implementation of a multimodal emotion recognition framework. This framework uses speech emotion recognition, sentiment analysis, and affective voice interaction based on a large language model. The prototyping has been accompanied by two studies on elderly peoples' design preferences regarding the proposed feature set as well as different embodiments to find the appropriate casing for the robot companion. This work provides valuable insights into the prototyping and can thus support future research endeavors in this area.

29 June 2018
Verified
Book Chapter
Closed access
PDF file
OKOliver Korn
Oliver Korn
LBLea Buchweitz
Lea Buchweitz
ARAdrian Rees
Adrian Rees
GBGerald Bieber
Gerald Bieber
CWChristian Werner
Christian Werner
KHKlaus Hauer
Klaus Hauer