S1 (FriAM 1-65) - The Psychonomic Society
S1 (FriAM 1-65) - The Psychonomic Society
S1 (FriAM 1-65) - The Psychonomic Society
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Friday Afternoon Papers 99–104<br />
Observers overestimate the slopes of hills with verbal measures, but<br />
are more accurate with body-based motor matching techniques, an example<br />
of contrast between cognitive and sensorimotor visual information.<br />
We replicated this effect using arm posture measured with<br />
digital photography rather than a tilt board for the motor measure,<br />
eliminating body contact with the hardware. Judged slopes are too<br />
steep at long distances, measured by having observers estimate segments<br />
of slopes between themselves and markers; at 16 m an 11º hill<br />
is verbally estimated at nearly 30º; the motor estimate is much lower.<br />
At 1 m, however, estimates are more accurate with both measures.<br />
What happens when observers traverse the slope before estimating it,<br />
giving them short-distance, presumably more accurate perceptual information<br />
at every point on the slope? <strong>The</strong>ir overestimates are just as<br />
great as those of observers who did not traverse the slope. Appearance<br />
dominates knowledge of the terrain.<br />
3:10–3:25 (99)<br />
<strong>The</strong> Perception of Four-Dot Configurations. MARY C. PORTILLO,<br />
CARL HAMMARSTEN, SHAIYAN KESHVARI, STEPHEN W.<br />
JEWELL, & JAMES R. POMERANTZ, Rice University (read by<br />
James R. Pomerantz)—Perceivers see stars in the night sky configured<br />
into dozens of nameable constellations. With simpler stimuli, twopoint<br />
configurations are organized into a straight line, and three points<br />
into a triangle. How do we perceive configurations of four points, as<br />
when four coins are tossed randomly on the floor: as quadrilaterals,<br />
as straight lines, curves, Y patterns, Ls, Ts, or yet others? We presented<br />
328 patterns that systematically sampled the space of all possible<br />
4-dot arrangements (ignoring size scale, orientation, and reflections)<br />
for subjects to free-classify based on perceived similarity. We<br />
then cluster-analyzed their responses. <strong>The</strong> structure of their classifications<br />
was captured by a hierarchy of 14 clusters of patterns. <strong>The</strong><br />
first bifurcation occurred between patterns having 3 dots in a straight<br />
line versus those that did not. Further branches suggest an ordered set<br />
of rules for grouping dot patterns, including grouping by proximity,<br />
linearity, parallelism, and symmetry.<br />
3:30–3:45 (100)<br />
Spationumerical Associations Between Perception and Semantics.<br />
PETER KRAMER, IVILIN STOIANOV, CARLO UMILTÀ, &<br />
MARCO ZORZI, University of Padua (sponsored by Johannes C.<br />
Ziegler)—Stoianov, Kramer, Umiltà, and Zorzi (Cognition, in press)<br />
found an interaction, between visuospatial and numerical information,<br />
that is independent of response selection effects (e.g., the SNARC effect).<br />
This Spatial-Numerical Association between Perception and Semantics<br />
(SNAPS) emerges when a spatial prime follows (backward<br />
priming), but not when it precedes (forward priming), a numerical target.<br />
Here, we investigate the time course and nature of the SNAPS effect.<br />
We used nonspatial, verbal parity judgments and number comparisons<br />
and, to dissociate the SNAPS effect from other numerical<br />
effects, we compared conditions with and without priming. <strong>The</strong> results<br />
show that the SNAPS effect is inhibitory and peaks when the<br />
prime follows the target by about 100 msec. Moreover, we observed<br />
a main effect of number size even in the parity judgment task, contrary<br />
to earlier claims. This latter finding has important implications<br />
for current models of the representation of numerical magnitude.<br />
Selective Attention<br />
Regency ABC, Friday Afternoon, 4:10–5:30<br />
Chaired by Zhe Chen, University of Canterbury<br />
4:10–4:25 (101)<br />
Implicit Perception in Object Substitution Masking. ZHE CHEN,<br />
University of Canterbury, & ANNE TREISMAN, Princeton University—Object<br />
substitution masking (OSM; Enns & Di Lollo, 1997)<br />
refers to reduced target discrimination when the target is surrounded<br />
by a sparse mask that does not overlap with the target in space but<br />
16<br />
trails it in time. In two experiments, we used a novel approach to investigate<br />
the extent of processing of a masked target in OSM. We measured<br />
response compatibility effects between target and mask, both<br />
when the offsets were simultaneous and when the mask offset was delayed.<br />
Participants made a speeded response to the mask followed by<br />
an accuracy only response to the target, then categorizing their responses<br />
to the target as “see” or “guess.” Targets and masks matched<br />
or differed at a feature level in Experiment 1 and at a categorical level<br />
in Experiment 2. Evidence for OSM as well as a dissociation between<br />
perception and awareness was found in both experiments.<br />
4:30–4:45 (102)<br />
Intertrial Biasing of Selective Attention Leads to Blink-Like Misses<br />
in RSVP Streams. ALEJANDRO LLERAS & BRIAN LEVINTHAL,<br />
University of Illinois, Urbana-Champaign—When participants are required<br />
to report the case of the color-oddball letter in a single-target<br />
RSVP stream, their ability to do so is modulated by the position of the<br />
target in the RSVP stream, and more crucially, by the match or mismatch<br />
between the current target color and the color of distractors in<br />
the prior RSVP stream. When the target is presented in the color of<br />
the distractors in the previous trial RSVP stream, participants very<br />
often miss the target (performance is at chance) when the target is presented<br />
early on in the RSVP stream. Performance recovers for later<br />
target positions in the RSVP stream. <strong>The</strong> pattern of performance (cost<br />
and recovery) is strongly reminiscent of the attentional blink, even<br />
though only one target is to be detected on any given trial and more<br />
than 2 sec have elapsed since the end of the previous trial.<br />
4:50–5:05 (103)<br />
<strong>The</strong> Time Course of Goal-Driven Saccadic Selection. WIESKE<br />
VAN ZOEST & MIEKE DONK, Vrije Universiteit, Amsterdam (sponsored<br />
by Mieke Donk)—Four experiments were performed to investigate<br />
goal-driven modulation in saccadic target selection as a function<br />
of time. Observers were presented with displays containing<br />
multiple homogeneously oriented background lines and two singletons.<br />
Observers were instructed to make a speeded eye-movement to<br />
one singleton in one condition and the other singleton in another condition.<br />
Simultaneously presented singletons were defined in different<br />
dimensions (orientation and color in Experiment 1), or in the same dimension<br />
(i.e., orientation in Experiment 2, color in Experiments 3 and<br />
4). <strong>The</strong> results showed that goal-driven selectivity increased as a function<br />
of saccade latency and depended on the specific singleton combination.<br />
Yet, selectivity was not a function of whether both singletons<br />
were defined within or across dimensions. Instead, the rate of<br />
goal-driven selectivity was related to the similarity between the singletons;<br />
when singletons were dissimilar, accuracy as a function of<br />
time increased more rapidly than when they were similar.<br />
5:10–5:25 (104)<br />
Tracking of Visual Objects Containing Textual Information.<br />
LAURI OKSAMA & JUKKA HYÖNÄ, University of Turku (sponsored<br />
by Jukka Hyönä)—Do properties of textual identity information<br />
associated with moving targets influence visual tracking? In realworld<br />
visual environments, such as air traffic displays, targets to be<br />
tracked contain textual information (e.g., call signs). In the present<br />
study, the textual information appeared within rectangles that moved<br />
around the computer screen. Four factors were manipulated in the experiments:<br />
(1) number of targets (2–6), (2) length of textual information<br />
(5 vs. 10 character words), (3) familiarity of textual information<br />
(existing words vs. pronounceable pseudowords), and (4) speed of object<br />
movement. We observed that performance accuracy decreased as<br />
a function of target set-size, text length, word unfamiliarity, and target<br />
speed. We argue that the results are consistent with the recently<br />
proposed serial model of dynamic identity–location binding (MOMIT),<br />
which states that identity–location bindings for multiple moving objects<br />
become more difficult when target identification consumes more<br />
time (e.g., as text length increases).