collabra_2021_7_1_21422.pdf (1.07 MB)
Estimating time: comparing the accuracy of estimation methods for interval timing
journal contribution
posted on 2023-06-10, 00:58 authored by Atser Damsma, Nadine Schlichting, Hedderik van Rijn, Warrick RoseboomWarrick RoseboomIn interval timing experiments, motor reproduction is the predominant method used when participants are asked to estimate an interval. However, it is unknown how its accuracy, precision and efficiency compare to alternative methods, such as indicating the duration by spatial estimation on a timeline. In two experiments, we compared different interval estimation methods. In the first experiment, participants were asked to reproduce an interval by means of motor reproduction, timeline estimation, or verbal estimation. We found that, on average, verbal estimates were more accurate and precise than line estimates and motor reproductions. However, we found a bias towards familiar whole second units when giving verbal estimates. Motor reproductions were more precise, but not more accurate than timeline estimates. In the second experiment, we used a more complex task: Participants were presented a stream of digits and one target letter and were subsequently asked to reproduce both the interval to target onset and the duration of the total stream by means of motor reproduction and timeline estimation. We found that motor reproductions were more accurate, but not more precise than timeline estimates. In both experiments, timeline estimates had the lowest reaction times. Overall, our results suggest that the transformation of time into space has only a relatively minor cost. In addition, they show that each estimation method comes with its own advantages, and that the choice of estimation method depends on choices in the experimental design: for example, when using durations with integer durations verbal estimates are superior, yet when testing long durations, motor reproductions are time intensive making timeline estimates a more sensible choice.
Funding
TIMESTORM - Mind and Time: Investigation of the Temporal Traits of Human-Machine Convergence; G1485; EUROPEAN UNION
History
Publication status
- Published
File Version
- Published version
Journal
Collabra PsychologyISSN
2474-7394Publisher
University of California PressExternal DOI
Issue
1Volume
7Page range
1-15Article number
a21422Department affiliated with
- Informatics Publications
Research groups affiliated with
- Sackler Centre for Consciousness Science Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2021-09-17First Open Access (FOA) Date
2021-09-17First Compliant Deposit (FCD) Date
2021-09-15Usage metrics
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