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Jennifer C Day

Biographic Data

ID3934735
NAMEJennifer C Day
GIVEN NAMESJennifer C
FAMILY NAMEDay
SIGNATUREDAY J C
AFFILIATIONSThe University of Queensland
ORCID0000-0003-0487-9385
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS23
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR1998
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Generative AI Exhibits the Lightness/Pitch Correspondence in Image Generation and Classification Tasks

    Open Access•John Mcewan, Jennifer C Day et al.•ARTICLE•Human Behavior and Emerging…•2025

    A crossmodal correspondence (CMC) is an association between sensory features from different modalities. For example, the lightness/pitch correspondence is the tendency to pair more luminant stimuli with higher pitches and dimmer stimuli with lower pitches. There has been a recent surge in research examining how these associations are present in current generative AI models and to what degree they are language dependent. Previous research on the r…

  • The meaning and management of neuroleptic medication

    Open Access•Anne Rogers, Jennifer C Day et al.•ARTICLE•Social Science & Medicine•1998•Cited by: 23•References: 20

  • The meaning and management of neuroleptic medication

    Open Access•Anne Rogers, Jennifer C Day et al.•ARTICLE•Social Science & Medicine•1998•Cited by: 23•References: 20

  • The meaning and management of neuroleptic medication

    Open Access•Anne Rogers, Jennifer C Day et al.•ARTICLE•Social Science & Medicine•1998•Cited by: 23•References: 20

  • Generative AI Exhibits the Lightness/Pitch Correspondence in Image Generation and Classification Tasks

    Open Access•John Mcewan, Jennifer C Day et al.•ARTICLE•Human Behavior and Emerging…•2025

    A crossmodal correspondence (CMC) is an association between sensory features from different modalities. For example, the lightness/pitch correspondence is the tendency to pair more luminant stimuli with higher pitches and dimmer stimuli with lower pitches. There has been a recent surge in research examining how these associations are present in current generative AI models and to what degree they are language dependent. Previous research on the r…

Association (psychology) (1 works) · Context (archaeology (1 works) · Contrast (vision) (1 works) · Crossmodal (1 works) · Diagnosis of schizophrenia (1 works) · Everyday life (1 works) · Experimental psychology (1 works) · Generative grammar (1 works) · Generative model (1 works) · Health care (1 works)

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