50 citations · 76 across the 9 of their papers we have counts for
9 papers
From Prompts to Preferences: An Open-Source Platform for Generative AI-Enhanced Conjoint Analysis
Philipp Brauner
Conjoint analysis is a widely used preference measurement method in marketing research, political science, healthcare, and human-computer interaction. Despite broad adoption, resea…
Media Framing Moderates Risk-Benefit Perceptions and Value Tradeoffs in Human-Robot Collaboration
Philipp Brauner, Felix Glawe, Luisa Vervier +1
Public acceptance of industrial human-robot collaboration (HRC) is shaped by how risks and benefits are perceived by affected employees. Positive or negative media framing may shap…
Trust and Human Autonomy after Cobot Failures: Communication is Key for Industry 5.0
Felix Glawe, Laura Kremer, Luisa Vervier +2
Collaborative robots (cobots) are a core technology of Industry 4.0. Industry 4.0 uses cyber-physical systems, IoT and smart automation to improve efficiency and data-driven decisi…
Human Autonomy and Sense of Agency in Human-Robot Interaction: A Systematic Literature Review
Felix Glawe, Tim Schmeckel, Philipp Brauner +1
Human autonomy and sense of agency are increasingly recognised as critical for user well-being, motivation, and the ethical deployment of robots in human-robot interaction (HRI). G…
Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab
Leon Gorißen, Jan-Niklas Schneider, Mohamed Behery +11
The digital transformation of production requires new methods of data integration and storage, as well as decision making and support systems that work vertically and horizontally…
Cultural Dimensions of AI Perception: Charting Expectations, Risks, Benefits, Tradeoffs, and Value in Germany and China
Philipp Brauner, Felix Glawe, Gian Luca Liehner +2
As artificial intelligence (AI) continues to advance, understanding public perceptions -- including biases, risks, and benefits -- is essential for guiding research priorities and…
Perception Gaps in Risk, Benefit, and Value Between Experts and Public Challenge Socially Accepted AI
Philipp Brauner, Felix Glawe, Gian Luca Liehner +2
Artificial Intelligence (AI) is reshaping many societal domains, raising critical questions about its risks, benefits, and the potential misalignment between public and academic pe…
Mapping Public Perception of Artificial Intelligence: Expectations, Risk-Benefit Tradeoffs, and Value As Determinants for Societal Acceptance
Philipp Brauner, Felix Glawe, Gian Luca Liehner +2
Understanding public perception of artificial intelligence (AI) and the tradeoffs between potential risks and benefits is crucial, as these perceptions might shape policy decisions…
Mapping acceptance: micro scenarios as a dual-perspective approach for assessing public opinion and individual differences in technology perception
Philipp Brauner
Understanding public perception of technology is crucial to aligning research, development, and governance of technology. This article introduces micro scenarios as an integrative…