Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Dirk U. Wulff"'
Publikováno v:
EPJ Data Science, Vol 13, Iss 1, Pp 1-17 (2024)
Abstract We assess whether the classic psychometric paradigm of risk perception can be improved or supplanted by novel approaches relying on language embeddings. To this end, we introduce the Basel Risk Norms, a large data set covering 1004 distinct
Externí odkaz:
https://doaj.org/article/f0d3ccb3cfff4c14ab98d2574462768d
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract Science communication is evolving: Increasingly, it is directed at the public rather than academic peers. Understanding the circumstances under which the public engages with scientific content is therefore crucial to improving science commun
Externí odkaz:
https://doaj.org/article/6b5cb806a7104ebf9cfbe859313ed030
Publikováno v:
Judgment and Decision Making, Vol 19 (2024)
To make profitable investment decisions, investors must know and understand their risks. They can learn about these risks in different ways. Evidence suggests that investors who learn from a ‘risk tool’ simulator perceive financial risk more accu
Externí odkaz:
https://doaj.org/article/15ce073ea82647fbb3bb5c54b7256369
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Cognitive science invokes semantic networks to explain diverse phenomena, from memory retrieval to creativity. Research in these areas often assumes a single underlying semantic network that is shared across individuals. Yet, recent evidence
Externí odkaz:
https://doaj.org/article/08d2b76f5c514413b55ac5486d137f44
Autor:
Mikhail S. Spektor, Dirk U. Wulff
Publikováno v:
Judgment and Decision Making, Vol 16, Iss 1, Pp 114-130 (2021)
Governments use taxes to discourage undesired behaviors and encourage desired ones. One target of such interventions is reckless behavior, such as texting while driving, which in most cases is harmless but sometimes leads to catastrophic outcomes. Pa
Externí odkaz:
https://doaj.org/article/bece2f81e0bf48078f56c4993f4f98b4
Publikováno v:
Journal of Open Psychology Data, Vol 10, Iss 1 (2022)
We report data from a proof-of-concept study involving the concurrent assessment of large-scale individual semantic networks and cognitive performance. The data include 10,800 free associations—collected using a dedicated web-based platform over th
Externí odkaz:
https://doaj.org/article/a312acc0b7b44610b2b511e8b6cf8d67
Publikováno v:
Complexity, Vol 2020 (2020)
Externí odkaz:
https://doaj.org/article/c10c73648c6241ef8e1659a6d11cb716
Publikováno v:
Complexity, Vol 2020 (2020)
Externí odkaz:
https://doaj.org/article/daac62d34d1d4c78b5e52f590125f3cf
Publikováno v:
Complexity, Vol 2019 (2019)
Network science provides a set of quantitative methods to investigate complex systems, including human cognition. Although cognitive theories in different domains are strongly based on a network perspective, the application of network science methodo
Externí odkaz:
https://doaj.org/article/52ade39549fa4a4aa0ef1724f34ae16c
Publikováno v:
Scientific Reports
Cognitive science invokes semantic networks to explain diverse phenomena, from memory retrieval to creativity. Research in these areas often assumes a single underlying semantic network that is shared across individuals. Yet, recent evidence suggests
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07fadb93e3536fad641afcc97be0116e
https://doi.org/10.1038/s41598-022-11698-4
https://doi.org/10.1038/s41598-022-11698-4