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Effect of Presentation Format on Judgment of Long-Range Time Intervals
Camila Silveira Agostino1,2, Yossi Zana2, Fuat Balci3
1Department of Biological Psychology, Faculty of Natural Science, Otto von Guericke Universität Magdeburg, Magdeburg, Germany.
Frontiers in Psychology
|July 19, 2019
Summary
Estimating long time intervals is best done using personal events, not just numbers or units. This approach reveals individual differences in time perception, unlike aggregated data analysis.
Area of Science:
- Cognitive Psychology
- Psychophysics
- Time Perception Research
Background:
- Temporal estimation research typically focuses on short durations (milliseconds to minutes).
- Understanding long-range time interval estimation requires exploring different presentation formats and their impact on psychophysical functions.
- Existing models may not fully capture the complexities of judging extended time periods.
Purpose of the Study:
- To identify the psychophysical function that best describes long-range time interval estimation.
- To evaluate how numeral presentation (number+unit, unitless, or event-tagged) affects this function.
- To investigate the influence of scale directionality on time interval judgments.
Main Methods:
- Participants estimated time intervals presented as '9 months' (Group I), '9' (Group II), or 'Wedding' (Group III).
- Time estimation was indicated on a horizontal line with varying scale directionality.
- Data were analyzed using linear, power, logistic, and logarithmic functions, including non-linear mixed effects analysis.
Main Results:
- Power functions best fit aggregated data across all groups.
- Individual power exponents differed significantly between event-tagged intervals (Group III) and numerical presentations (Groups I & II).
- No significant effect of scale directionality was observed.
Conclusions:
- Numerical and event-tagged presentations of long time intervals engage distinct cognitive processing mechanisms.
- Event-tagged assessments offer a more nuanced characterization of long-range interval representation.
- Future research should consider individual participant data rather than relying solely on aggregated results for time perception studies.
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