Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Jonathan D Ericson

Biographic Data

ID2744246
NAMEJonathan D Ericson
GIVEN NAMESJonathan D
FAMILY NAMEEricson
SIGNATUREERICSON J D
AFFILIATIONSBentley University
ORCID0000-0001-9076-0596
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS2
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Digital nudges: A systematic narrative review and taxonomy

    Ja-Nae Duane, Jonathan D Ericson et al.•ARTICLE•Behaviour and Information…•2025

    The developing research area of digital nudges has garnered increasing attention over the past decade. However, with the acceleration of technological change, there is a need to identify how digital nudges are evolving with changing digital environments. For example, digital choice architectures can be personalised with algorithms, dark nudges, and real-time data. This paper presents a systematic narrative literature review on the evolution of di…

  • Political affiliation moderates subjective interpretations of Covid-19 graphs

    Open Access•Jonathan D Ericson, William S Albert et al.•ARTICLE•Big Data & Society•2022•Cited by: 1•References: 61

    We examined the relationship between political affiliation, perceptual (percentage, slope) estimates, and subjective judgements of disease prevalence and mortality across three chart types. An online survey (N = 787) exposed separate groups of participants to charts displaying (a) COVID-19 data or (b) COVID-19 data labeled 'Influenza (Flu)'. Block 1 examined responses to cross-sectional mortality data (bar graphs, treemaps); results revealed that…

  • Space syntax visibility graph analysis is not robust to changes in spatial and temporal resolution

    Open Access•Jonathan D Ericson, Elizabeth R Chrastil et al.•ARTICLE•Environment and Planning B Urban…•2021

    Space syntax is an influential framework for quantifying the relationship between environmental geometry and human behavior. Although many studies report high syntactic–behavioral correlations, previous pedestrian data were collected at low spatiotemporal resolutions, and data transformations and sampling strategies vary widely; here, we systematically test the robustness of space syntax’s predictive strength by examining how these factors impact…

  • Probing the invariant structure of spatial knowledge: Support for the cognitive graph hypothesis

    Open Access•Jonathan D Ericson, William H Warren•ARTICLE•Cognition•2020

  • Worth a thousand words: Presenting wind turbines in virtual reality reveals new opportunities for social acceptance and visualization research

    Open Access•Alexana Cranmer, Jonathan D Ericson et al.•ARTICLE•Energy Research & Social Science•2020•Cited by: 1•References: 6

  • Political affiliation moderates subjective interpretations of Covid-19 graphs

    Open Access•Jonathan D Ericson, William S Albert et al.•ARTICLE•Big Data & Society•2022•Cited by: 1•References: 61

    We examined the relationship between political affiliation, perceptual (percentage, slope) estimates, and subjective judgements of disease prevalence and mortality across three chart types. An online survey (N = 787) exposed separate groups of participants to charts displaying (a) COVID-19 data or (b) COVID-19 data labeled 'Influenza (Flu)'. Block 1 examined responses to cross-sectional mortality data (bar graphs, treemaps); results revealed that…

  • Worth a thousand words: Presenting wind turbines in virtual reality reveals new opportunities for social acceptance and visualization research

    Open Access•Alexana Cranmer, Jonathan D Ericson et al.•ARTICLE•Energy Research & Social Science•2020•Cited by: 1•References: 6

  • Probing the invariant structure of spatial knowledge: Support for the cognitive graph hypothesis

    Open Access•Jonathan D Ericson, William H Warren•ARTICLE•Cognition•2020

  • Worth a thousand words: Presenting wind turbines in virtual reality reveals new opportunities for social acceptance and visualization research

    Open Access•Alexana Cranmer, Jonathan D Ericson et al.•ARTICLE•Energy Research & Social Science•2020•Cited by: 1•References: 6

  • Space syntax visibility graph analysis is not robust to changes in spatial and temporal resolution

    Open Access•Jonathan D Ericson, Elizabeth R Chrastil et al.•ARTICLE•Environment and Planning B Urban…•2021

    Space syntax is an influential framework for quantifying the relationship between environmental geometry and human behavior. Although many studies report high syntactic–behavioral correlations, previous pedestrian data were collected at low spatiotemporal resolutions, and data transformations and sampling strategies vary widely; here, we systematically test the robustness of space syntax’s predictive strength by examining how these factors impact…

  • Political affiliation moderates subjective interpretations of Covid-19 graphs

    Open Access•Jonathan D Ericson, William S Albert et al.•ARTICLE•Big Data & Society•2022•Cited by: 1•References: 61

    We examined the relationship between political affiliation, perceptual (percentage, slope) estimates, and subjective judgements of disease prevalence and mortality across three chart types. An online survey (N = 787) exposed separate groups of participants to charts displaying (a) COVID-19 data or (b) COVID-19 data labeled 'Influenza (Flu)'. Block 1 examined responses to cross-sectional mortality data (bar graphs, treemaps); results revealed that…

  • Digital nudges: A systematic narrative review and taxonomy

    Ja-Nae Duane, Jonathan D Ericson et al.•ARTICLE•Behaviour and Information…•2025

    The developing research area of digital nudges has garnered increasing attention over the past decade. However, with the acceleration of technological change, there is a need to identify how digital nudges are evolving with changing digital environments. For example, digital choice architectures can be personalised with algorithms, dark nudges, and real-time data. This paper presents a systematic narrative literature review on the evolution of di…

Computer Science (4 works) · Psychology (4 works) · Artificial Intelligence (3 works) · Social Psychology (3 works) · Engineering (2 works) · Graph (2 works) · Mathematics (2 works) · Adjacency list (1 works) · Applied Psychology (1 works) · Applied Psychology (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae