Hand trajectories reveal hidden cognitive states Ken Nakayama a Joo-Hyun Song b Matthew Finkbeiner c...
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Transcript of Hand trajectories reveal hidden cognitive states Ken Nakayama a Joo-Hyun Song b Matthew Finkbeiner c...
Hand trajectories reveal hidden cognitive states
Ken Nakayamaa
Joo-Hyun Songb
Matthew Finkbeinerc
Alfonso Caramazzaa
aHarvard UniversitybSmith-Kettlewell Eye Research Institute
cMacquarie University
today’s talk
Suggest there are new opportunities to study a wide
range of internal cognitive states from the detailed study of motor
behavior(Spivey et al., for language processing)
Remarkable power of psychophysical and behavioral methods
• Some examples• Wertheimer, 1912• Hecht, Shlaer and Pirenne, 1943• Julesz 1960s• Sperling 1960s
Early processing
Later processing
Cognition/decision
Motor plan
input
fMRI
EEG/MEGTMS
QuickTime™ and aTIFF (Uncompressed) decompressor
are needed to see this picture.
C O G N IT IV E
N E U RO S C IE N C E
Early processing
Later processing
Cognition/decision
Motor plan
input Reaching
Measure RT And accuracy PLUS
Full details of trajectory
Reveals otherwisehidden states
.
Hand movement recording: 120Hz with Polhemus Fastrak
QuickTime™ and aSorenson Video 3 decompressorare needed to see this picture.
Polhemus system: Sample rate (120 Hz)
• Recording 3-D movement of finger tip
Visually-guided pointingSong and Nakayama (VSS 05,06)
• I. Early hand trajectories reflect an underlying number representation – Song and Nakayama, Cognition (in press)
• II. pointing trajectories reveal influence of unseen words– Finkbeiner, Song, Nakayama, and Caramazza,
Visual Cognition (in press)
Two recent studies
IF X>5 respond “greater”Else respond “lesser”
if digital number line
BUT, RT and error rates systematically decrease as the numerical distance between two numbers increases.
Moyer and Landauer (1967)
Supporting “Analog” number line
X
In numeric comparison task 3 vs. 5, 13 vs. 5
Same response to 3 vs. 5 &13 vs. 5
Numeric distance effect
• Characteristics of number representations are mainly examined with discrete responses such as reaction time and accuracy.
• In the current study, to map invisible internal cognitive processes of numeric comparison in spatial domain over time, we measured trajectories.
X-Y trajectories
• Systematic shift of initial trajectories towards a hypothetical position on a number line intermediate between the numeral 1 and 5 positions
• Continuous internal processes for number representations
• Early detection of mental numeric line than previous tasks
• Kinematic measurements: More reliable and robust with small numbers of subjects
• I. Early hand trajectories reflect an underlying number representation – Song and Nakayama, Cognition (in press)
• II. Pointing trajectories reveal influence of unseen words– Finkbeiner, Song, Nakayama, and Caramazza,
Visual Cognition (in press)
spinach
Point to color of the word
########
boy
KMDKS
spinach
500 ms
30ms
10 ms
Until Response
########
red
KMDKS
spinach
500
30
10
2000
########
green
KMDKS
spinach
500
30
10
2000
neutral incongruent congruent
########
boy
KMDKS
spinach
500 ms
30ms
10 ms
Until Response
########
red
KMDKS
spinach
500
30
10
2000
########
green
KMDKS
spinach
500
30
10
2000
neutral incongruent congruent
-10 0 10
0
5
10
15
20
25
-10 0 10
0
5
10
15
20
25
-10 0 10
0
5
10
15
20
25
Left Right (cm)
Up(cm)
Down
A. B. C.
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
100 msec after movement onset
Time after movement initiation
Hor
izon
tal m
ovem
ent
(in)
incongruent
congruentneutral
• Despite the unavailability of the invisible stimulus to visual awareness, the congruity of the prime stimulus with the target stimulus had a significant effect on participants’ pointing trajectories.
• Masked unseen word processing extends down to include the formulation of overt motor responses
Early processing
Later processing
Cognition/decision
Motor plan
inputReaching
Full details of trajectory
LEAKAGE