Duration judgment and the experience of change
W. DOUGLAS POYNTER
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DONALD HOMA
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Arizona State University
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Tempe, Arizona
Predictions based on storage size, processing effort, and change models of time estimation were tested in five experiments. The first of these presented subjects with stimulus patterns that varied on dimensions of sensory-event number and uncertainty. Subjects estimated the duration of time periods using the reproduction method. Duration estimates were most accurately predicted by the number of sensory events in each pattern. This relationship was generally positive, although the specific function relating these variables was dependent upon clock duration. The change model seemed to fit these data best. Experiment 2 demonstrated that the relationship between sensory change and judged duration was not due to the total time of sensory input. Experiments 3, 4, and 5 tested the effects of several different types of change. In Experiments 3 and 4, the number C1f sensory events was held constant, but the regularity of their spatial presentation was varied. In both experiments, duration judgments were positively related to the number of changes that occurred. Because the manipulations used in these experiments produced differences in the visual complexity of stimulus patterns, the argument could be made that storage size or processing effort accounted for the size of duration judgments. Experiment 5 tested the effects of change while holding the visual complexity of stimulus patterns constant. A positive relationship between duration judgments and number of changes was again found.
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Given the ubiquity of man-made clocks in modern
societies, it seems clear that humans frequently rely
on nonorganismic mechanisms to measure the tem
poral extent of events. Apart from these time
keeping devices, however, we still experience some
thing metaphorically referred to as "time passage,"
and can also generate estimates of duration using
organismic processes. Although time perception has
been the topic of scientific investigation for at least
90 years, a clear understanding of the psychological
mechanisms of duration estimation is still forth
coming.
Some of the earliest researchers proposed that
the experience of duration was based on the out
put of a biological clock (e.g., Francois, 1927;
Hoagland, 1933). Recent models have emphasized
the role of cognitive activity rather than metabolic
functioning. This cognitive approach has the ad
vantage of being able to explain why the quantity
of stimulus information in an interval of clock time
can affect its apparent duration. When increases
The manuscript is based on the first author's doctoral disser
tation. Reprint requests should be addressed to W. Douglas
Poynter, Department of Psychology, Arizona State University,
Tempe, Arizona 85287. The authors would like to acknowledge
the valuable contributions made by Jerry Kosisky in the per
formance of the experiments. They also thank Sam Leifheit
and Norwood Sisson for their major contributions to the con
struction of the apparatus. Pat Query's patience in typing the
manuscript is also greatly appreciated. Finally, comments on
the manuscript by Richard Block, Dominic W. Massaro, and
an anonymous reviewer were helpful and much appreciated.
in stimulus information produce longer estimates
of duration, this finding is sometimes referred to
as the filled-duration illusion (FOI) and has been
demonstrated with an impressive variety of inter
val "fillers," including light flashes (Buffardi, 1971),
pure tone bursts (Adams, 1977; Buffardi, 1971;
Thomas & Weaver, 1975), line drawings (Mulligan
& Schiffman, 1979; Ornstein, 1969), letters and non
sense syllables (Avant, Lyman, & Antes, 1975), and
words and word lists (Block, 1974; Poynter, 1979;
Thomas & Weaver, 1975).
Generally, manipulations of the content of time
intervals fall into three categories: (1) manipulations
of the number of intervening events (Adams, 1977;
Block, 1974; Buffardi, 1971), (2) manipulations of
the complexity of stimulus events (Block, 1978;
Ornstein, 1969; Schiffman and Bobko, 1974), and
(3) manipulations of the amount or type of infor
mation processing required of subjects (Burnside,
1971; Hicks, Miller, & Kinsbourne, 1976; Thomas
& Weaver, 1975).
Based on the outcome of experiments using three
basic categories of experimental manipulation, three
cognitive models have been developed. These will
be referred to as the storage size, processing effort,
and change models. ~ They are similar in assuming
a close relationship between duration judgment and
the processing of interval events; they differ in terms
of the particular dimension of processing that is
proposed to mediate duration experience. The
storage-size notion proposes that time estimates are
based on both the number and complexity of
stimulus representations in memory; the processing
effort model focuses on the processing time or at
tention requuired by interval events; and the change
model emphasizes the overall amount of change ex
perienced. The results of many experiments can
be interpreted from more than one of these three
perspectives, although data have usually been dis
cussed in relation to a single model. The next section
presents evidence in support of each model.
Models of Duration Judgment
Storage size model. Experiments that have tested
this hypothesis often manipulate the number or
memorability of items filling an interval and relate
subsequent recall or recognition of these items to
duration estimates. Block (1974), for example, pre
sented subjects with 16O-sec intervals filled with 80
categorized words either blocked by category or
presented in random format. The blocked condition
produced significantly greater duration estimates
and memory scores. The fact that memory scores
paralleled apparent duration was interpreted as sup
port for a storage size hypothesis. Poynter (1979)
manipulated memory for stimulus information by
filling a 195-sec interval with either 15 easy-to
remember words or 15 hard-to-remember words.
In addition, half of the subjects were given word
prompts just prior to the time-estimation task. Sub
jects presented with easily recalled words and mem
ory prompts produced the longest time estimates
and the best recall performance, again demon
strating a parallel between the number of recalled
stimulus events and perceived duration.
The complexity of interval stimuli has also been
shown to affect duration estimates. Mulligan and
Schiffman (1979) and Ornstein (1969) demonstrated
that providing a simplifying code for remembering
complex line drawings reduced estimates of the stim
ulus duration. The authors attributed this effect to
a reduction in stimulus complexity. In addition,
Schiffman and Bobko (1974) found that duration
estimates of light-flash patterns were positively re
lated to pattern complexity.
Processing effort model. Avant, Lyman, and
Antes (1975) presented letter stimuli for very brief
intervals of time (30 msec), and found that dura
tion estim (...truncated)