68 citations
- University of StuttgartDE9 papers
- University of MannheimDE4 papers
- Fraunhofer Institute for Manufacturing Engineering and AutomationDE2 papers
- GESIS - Leibniz Institute for the Social SciencesDE2 papers
- Institute of Science TokyoJP2 papers
- Technische Hochschule MannheimDE2 papers
- University of Duisburg-EssenDE2 papers
- University of TübingenDE2 papers
- Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-InstitutDE1 paper
- Fraunhofer Institute for Transportation and Infrastructure SystemsDE1 paper
- Fraunhofer Institute of Optronics, System Technologies and Image ExploitationDE1 paper
- Institut für InformationsverarbeitungDE1 paper
30 papers
Smart Enough to Go Extinct? An Evolutionary Challenge to the Value of General Intelligence and Its Ethical Implications for AGI
David Klotz
The pursuit of artificial general intelligence (AGI) rests on a seemingly self-evident premise: that general intelligence, the kind of flexible, domain-general cognitive capacity e…
Back to the museum: Investigation of the acceptance of Android Andrea with and without emotion simulation in a museum
Marcel Heisler, Christian Becker-Asano
For a second time, the android robot Andrea was set up at a public museum in Germany for six consecutive days to have conversations with visitors, fully autonomously. Building on p…
First Contact with Dark Patterns and Deceptive Designs in Chinese and Japanese Free-to-Play Mobile Games
Gloria Xiaodan Zhang, Yijia Wang, Taro Leo Nakajima +1
Mobile games have gained immense popularity due to their accessibility, allowing people to play anywhere, anytime. Dark patterns and deceptive designs (DPs) have been found in thes…
More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI
Émilie Fabre, Katie Seaborn, Shuta Koiwai +2
Longitudinal engagement with generative AI (GenAI) storytelling agents is a timely but less charted domain. We explored multi-generational experiences with "Dreamsmithy," a daily d…
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning
Florian Rupp, Manuel Eberhardinger, Kai Eckert
The balancing process for game levels in competitive two-player contexts involves a lot of manual work and testing, particularly for non-symmetrical game levels. In this work, we f…
Evaluating ASR Confidence Scores for Automated Error Detection in User-Assisted Correction Interfaces
Korbinian Kuhn, Verena Kersken, Gottfried Zimmermann
Despite advances in Automatic Speech Recognition (ASR), transcription errors persist and require manual correction. Confidence scores, which indicate the certainty of ASR results,…