@philippbrauner.bsky.social
Researcher enabling the Human-centered digital transformation in learning, healthcare & work through interdisciplinary innovation. Focus on HCI & AI, Responsible Innovation, Science and Technology Studies, R, and Open Science. RWTH Aachen University
Spatial mapping of all 45 behavior types regarding the perceived personal cost-benefit-ratio and the perceived feasibility to restrain. Behaviors mapped on the dotted line are perceived to be equally restrainable and costly.
Tracing daily choices: this study shows a cognitive map of 45 behaviors across effort and impact, revealing which steps toward sustainability feel heavy and which play in tune with change.
#cognitivemapping #sdg #research #sustainability link.springer.com/article/10.1...
Time for a replication, maybe?
03.09.2025 17:47 — 👍 1 🔁 0 💬 1 📌 0it also links to your orcid but that requires an additional account... mehh.
27.08.2025 04:20 — 👍 0 🔁 0 💬 0 📌 0
Badge "Open Science Essentials" issued from NASA
Procrastinated for an hour while struggling with two arxiv preprints… and earned an open science badge. From NASA! 🚀
science.nasa.gov/open-science...
Maybe you can pay an additional fee beyond the APC for an add-free site?
Or would companies pay my APC if I put an ad in the article (see Figure 1)?
Graphical abstract of the article: Public opinion on artificial intelligence (AI) plays a pivotal role in shaping trust and AI alignment, ethical adoption, and the development equitable policy frameworks. This study investigates expectations, risk-benefit tradeoffs, and value assessments as determinants of societal acceptance of AI. Using a nationally representative sample (N=1100) from Germany, we examined mental models of AI and potential biases. Participants evaluated 71 AI-related scenarios across domains such as autonomous driving, medical care, art, politics, warfare, and societal divides, assessing their expected likelihood, perceived risks, benefits, and overall value. We present ranked evaluations alongside visual mappings illustrating the risk-benefit tradeoffs. Our findings suggest that while many scenarios were considered likely, they were often associated with high risks, limited benefits, and low overall value. Regression analyses revealed that 96.5\% ($r^2=0.965$) of the variance in value judgments was explained by risks ($\beta = -0.490$) and, more strongly, benefits ($\beta = +0.672$), with no significant relationship to expected likelihood. Demographics and personality traits, including age, gender, and AI readiness, influenced perceptions, highlighting the need for targeted AI literacy initiatives. These findings offer actionable insights for researchers, developers, and policymakers, highlighting the need to communicate tangible benefits and address public concerns to foster responsible and inclusive AI adoption. Future research should explore cross-cultural differences and longitudinal changes in public perception to inform global AI governance.
New #research: What do people anticipate from #AI across many domains? #Surveyed 1,100 people in Germany: High prospects, high perceived #risks, limited #benefits and low perceived #value. Still, benefits outweigh risks in shaping value judgments. Visual results... #science
doi.org/10.1016/j.te...
