Volo Herzon
Biographic Data
| ID | 6027985 |
|---|---|
| NAME | Volo Herzon |
| GIVEN NAMES | Volo |
| FAMILY NAME | Herzon |
| SIGNATURE | HERZON V |
| AFFILIATIONS | Department of Psychology and Logopedics Faculty of Medicine University of Helsinki Helsinki Finland |
| ORCID | 0000-0001-7781-1651 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Innocence over utilitarianism: Heightened moral standards for robots in rescue dilemmas
Research in moral psychology has found that robots, more than humans, are expected to make utilitarian decisions. This expectation is found specifically when contrasting utilitarian action to deontological inaction. In a series of eight experiments (total N = 3752), we compared judgments about robots’ and humans’ decisions in a rescue dilemma with no possibility of deontological inaction. A robot's decision to rescue an innocent victim of an acci…
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…
No prominent works on this page.
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…
Innocence over utilitarianism: Heightened moral standards for robots in rescue dilemmas
Research in moral psychology has found that robots, more than humans, are expected to make utilitarian decisions. This expectation is found specifically when contrasting utilitarian action to deontological inaction. In a series of eight experiments (total N = 3752), we compared judgments about robots’ and humans’ decisions in a rescue dilemma with no possibility of deontological inaction. A robot's decision to rescue an innocent victim of an acci…
Computer Science (3 works) · 2019-20 coronavirus outbreak (2 works) · Artificial Intelligence (2 works) · COVID-19 and Mental Health (2 works) · COVID-19 epidemiological studies (2 works) · Medicine (2 works) · Pandemic (2 works) · Political science (2 works) · Psychology (2 works) · Accident (philosophy) (1 works)