Kai Fricke
Biographic Data
| ID | 10854850 |
|---|---|
| NAME | Kai Fricke |
| GIVEN NAMES | Kai |
| FAMILY NAME | Fricke |
| SIGNATURE | FRICKE K |
| AFFILIATIONS | The Korean Social and Personality Psychological Association |
| ORCID | 0000-0001-7016-5626 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
The self-congruity effect of music
4,995) builds on this by showing that the fit between the personality of the listener and the artist predicts musical preferences incremental to the fit for gender, age, and even the audio features of music. Our findings are largely consistent across two methodological approaches to operationalizing an artist's public personality: (a) the public personality as reported by the artist's fans, and (b) the public personality as predicted by machine l…
Computer-based music feature analysis mirrors human perception and can be used to measure individual music preference
Personality and self-reported preference for music genres and attributes in a German-speaking sample
Personality and self-reported preference for music genres and attributes in a German-speaking sample
The self-congruity effect of music
4,995) builds on this by showing that the fit between the personality of the listener and the artist predicts musical preferences incremental to the fit for gender, age, and even the audio features of music. Our findings are largely consistent across two methodological approaches to operationalizing an artist's public personality: (a) the public personality as reported by the artist's fans, and (b) the public personality as predicted by machine l…
Computer-based music feature analysis mirrors human perception and can be used to measure individual music preference
Personality and self-reported preference for music genres and attributes in a German-speaking sample
Computer-based music feature analysis mirrors human perception and can be used to measure individual music preference
The self-congruity effect of music
4,995) builds on this by showing that the fit between the personality of the listener and the artist predicts musical preferences incremental to the fit for gender, age, and even the audio features of music. Our findings are largely consistent across two methodological approaches to operationalizing an artist's public personality: (a) the public personality as reported by the artist's fans, and (b) the public personality as predicted by machine l…
Neuroscience and Music Perception (3 works) · Psychology (3 works) · Social Psychology (3 works) · Diverse Music Education Insights (2 works) · Linguistics (2 works) · Music and Audio Processing (2 works) · Preference (2 works) · Statistics (2 works) · Arousal (1 work) · Art (1 work)