The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Concurrent Processing Demands and the Experience of Time-in-Passing
Abstract
Under the prospective paradigm, judged time decreased monotonically with the increased processing demands of concurrent card sorting (Experiment I) and of concurrent verbal rehearsal (Experiment II). It was nonmonotonically related to concurrent tapping rate (Experiment III), which latter, when required during verbal rehearsal, had an identical curvilinear effect on short-term recall (Experiment IV). It is concluded that the experience of time-in-passing is an inverse function of the processing demanded by a concurrent task. An attentional model is suggested and evaluated against the literature.
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Citations
Cites
PERSONALITY AND THE INVERTED‐U RELATION
CORCORAN, D. W. J. (1965) · British Journal of Psychology · doi:10.1111/j.2044-8295.1965.tb00964.x · Cited by 95
Cited by
Solanto, M. V., Abikoff, H., Sonuga-Barke, E., Schachar, R., Logan, G. D., Wigal, T., Hechtman, L., Hinshaw, S., & Turkel, E. (2001) · Journal of Abnormal Child Psychology · doi:10.1023/a:1010329714819 · Cited by 639
Distributed neural systems for temporal production: A functional MRI study
Basso, G., Nichelli, P., Wharton, C. M., Peterson, M., & Grafman, J. (2003) · Brain Research Bulletin · doi:10.1016/s0361-9230(02)00941-3 · Cited by 53
Metadata
- Authors
- Hicks, R. E., Miller, G. W., Gaes, G., & Bierman, K.
- Venue
- The American Journal of Psychology
- Publisher
- University of Illinois Press
- Published
- 1977-09
- Volume
- 90
- Issue
- 3
- Pages
- 431
- ISSN
- 0002-9556 (ISSN-L)
- OpenAlex
- W1998233309
- Cited by
- 192
- References
- 1
- FWCI
- 0.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hicks, R. E., Miller, G. W., Gaes, G., & Bierman, K. (1977). Concurrent Processing Demands and the Experience of Time-in-Passing. The American Journal of Psychology. https://doi.org/10.2307/1421874
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.