Information Technology Reference
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device in a public arena where identification could
be viewed with a negative connotation. Although
not explicitly tested for, this implies that there is
the possibility that the eye may be viewed as a
more sensitive or invasive area of a person than
the areas subjected to other biometric devices.
Kim (1995) addressed this issue as described in
the literature review. This indicates that further
research as to the area of the body that is subject
to appraisal by different device types may be an
interesting avenue to explore.
Table 4. Regression coefficients for extended technology acceptance model
Dependent
Construct
Standardized
t
Sig
Variable
Coefficient
Security
Privacy
.
.638
14.272
.000
(R
2
= .408)
Invasiveness
Privacy
.108
4.087
.000
(R
2
= .027)
Security
-.125
-4.753
.000
D1
-.027
-.999
.318
D2
-.116
-4.330
.000
D3
-.126
-4.709
.000
D4
-.071
-2.650
.008
D5
-.078
-2.918
.004
D6
-.070
-2.595
.010
D7
-.128
-4.777
.000
EOU
Invasiveness
-.187
-9.288
.000
(R
2
= .058)
D1
.004
.170
.865
D2
.018
.698
.486
D3
.106
4.014
.000
D4
-.024
-.901
.368
D5
.001
.029
.977
D6
.004
.148
.882
D7
.095
3.591
.000
Usefulness
EOU
.649
41.274
.000
(R
2
= .471)
Security
.121
6.204
.000
Privacy
-.006
-.301
.763
D1
.082
4.160
.000
D2
-.054
-2.731
.006
D3
-.099
-4.980
.000
D4
.011
.579
.562
D5
-.016
-.820
.412
D6
-.022
-1.110
.267
D7
-.050
-2.534
.011
Intention
EOU
.301
17.259
.000
(R
2
= .595)
Usefulness
.500
28.472
.000
Invasiveness
-.117
-8.678
.000
alpha = .05 for all regressions
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