Luca Cian
Biographic Data
| ID | 88307 |
|---|---|
| NAME | Luca Cian |
| GIVEN NAMES | Luca |
| FAMILY NAME | Cian |
| SIGNATURE | CIAN L |
| AFFILIATIONS | University of Virginia |
| ORCID | 0000-0002-8051-1366 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
AI-induced indifference: Unfair AI reduces prosociality
The growing prevalence of artificial intelligence (AI) in our lives has brought the impact of AI-based decisions on human judgments to the forefront of academic scholarship and public debate. Despite growth in research on people's receptivity towards AI, little is known about how interacting with AI shapes subsequent interactions among people. We explore this question in the context of unfair decisions determined by AI versus humans and focus on …
Addressing climate change with behavioral science: A global intervention tournament in 63 countries
Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interve…
Effects of ancestral information on social connectedness and life meaning
Artificial Intelligence in Utilitarian vs. Hedonic Contexts: The “Word-of-Machine” Effect
Rapid development and adoption of AI, machine learning, and natural language processing applications challenge managers and policy makers to harness these transformative technologies. In this context, the authors provide evidence of a novel “word-of-machine” effect, the phenomenon by which utilitarian/hedonic attribute trade-offs determine preference for, or resistance to, AI-based recommendations compared with traditional word of mouth, or human…
National identity predicts public health support during a global pandemic
Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during …
Predicting attitudinal and behavioral responses to Covid-19 pandemic using machine learning
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multi-national data collected by the International Collaboration on the Social…
Positioning Rationality and Emotion: Rationality Is Up and Emotion Is Down
Emotion and rationality are fundamental elements of human life. They are abstract concepts, often difficult to define and grasp. Thus throughout the history of Western society, the head and the heart, concrete and identifiable elements, have been used as symbols of rationality and emotion. Drawing on the conceptual metaphor framework, we propose that people understand the abstract concepts of rationality and emotion using knowledge of a more conc…
A Sign of Things to Come: Behavioral Change through Dynamic Iconography
We propose that features of static visuals can lead to perceived movement (via dynamic imagery) and prepare the observer for action. We operationalize our research within the context of warning sign icons and show how subtle differences in iconography can affect human behavioral response. Across five studies incorporating multiple methodologies and technologies (click-data heat maps, driving simulations, surveys, reaction time, and eye tracking),…
A comparative analysis of print advertising applying the two main plastic semiotics schools: Barthes' and Greimas
The aim of this paper is to analyze a specific printed advertisement from two different semiotic points of view. First, we apply the interpretative instruments provided by the Barthes’ school of thinking (focused on the description of explicit signs taken in isolation). We then attempt to explore the same print employing the prospective of Greimas’ structural semiotics (where a sign has meaning only when it is interpreted as part of a system)
A Sign of Things to Come: Behavioral Change through Dynamic Iconography
We propose that features of static visuals can lead to perceived movement (via dynamic imagery) and prepare the observer for action. We operationalize our research within the context of warning sign icons and show how subtle differences in iconography can affect human behavioral response. Across five studies incorporating multiple methodologies and technologies (click-data heat maps, driving simulations, surveys, reaction time, and eye tracking),…
A comparative analysis of print advertising applying the two main plastic semiotics schools: Barthes' and Greimas
The aim of this paper is to analyze a specific printed advertisement from two different semiotic points of view. First, we apply the interpretative instruments provided by the Barthes’ school of thinking (focused on the description of explicit signs taken in isolation). We then attempt to explore the same print employing the prospective of Greimas’ structural semiotics (where a sign has meaning only when it is interpreted as part of a system)
Positioning Rationality and Emotion: Rationality Is Up and Emotion Is Down
Emotion and rationality are fundamental elements of human life. They are abstract concepts, often difficult to define and grasp. Thus throughout the history of Western society, the head and the heart, concrete and identifiable elements, have been used as symbols of rationality and emotion. Drawing on the conceptual metaphor framework, we propose that people understand the abstract concepts of rationality and emotion using knowledge of a more conc…
A Sign of Things to Come: Behavioral Change through Dynamic Iconography
We propose that features of static visuals can lead to perceived movement (via dynamic imagery) and prepare the observer for action. We operationalize our research within the context of warning sign icons and show how subtle differences in iconography can affect human behavioral response. Across five studies incorporating multiple methodologies and technologies (click-data heat maps, driving simulations, surveys, reaction time, and eye tracking),…
Artificial Intelligence in Utilitarian vs. Hedonic Contexts: The “Word-of-Machine” Effect
Rapid development and adoption of AI, machine learning, and natural language processing applications challenge managers and policy makers to harness these transformative technologies. In this context, the authors provide evidence of a novel “word-of-machine” effect, the phenomenon by which utilitarian/hedonic attribute trade-offs determine preference for, or resistance to, AI-based recommendations compared with traditional word of mouth, or human…
National identity predicts public health support during a global pandemic
Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during …
Predicting attitudinal and behavioral responses to Covid-19 pandemic using machine learning
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multi-national data collected by the International Collaboration on the Social…
Effects of ancestral information on social connectedness and life meaning
Addressing climate change with behavioral science: A global intervention tournament in 63 countries
Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interve…
AI-induced indifference: Unfair AI reduces prosociality
The growing prevalence of artificial intelligence (AI) in our lives has brought the impact of AI-based decisions on human judgments to the forefront of academic scholarship and public debate. Despite growth in research on people's receptivity towards AI, little is known about how interacting with AI shapes subsequent interactions among people. We explore this question in the context of unfair decisions determined by AI versus humans and focus on …
Psychology (7 works) · Computer Science (5 works) · Cognitive psychology (3 works) · Epistemology (3 works) · 2019-20 coronavirus outbreak (2 works) · Art (2 works) · Artificial Intelligence (2 works) · Context (archaeology) (2 works) · COVID-19 and Mental Health (2 works) · COVID-19 epidemiological studies (2 works)