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et al., 2004). We tested this relationship again in
the current study using a regression to obtain path
coefficients for the constructs in the model related
to intention to use. These regression equations (4
& 5) are shown below.
Where P = perceived need for privacy, S =
perceived need for security, IU = intention to use,
PU = perceived usefulness, PEU = perceived ease
of use, and PI = perceived invasiveness.
likely to use the device if they feel that it is easy
to use.
The perceived ease of use of the device was
found to have a significant impact on perceived
usefulness (β = .65), supporting hypothesis 3. An
individual's perception of how easy the device
will be to use may be a large determining factor
on its perceived usefulness. This implies that the
complexity of use of the device will significantly
impact whether or not said device is perceived as
being useful.
Perceived invasiveness has a negative signifi-
cant impact on the ease of use of the device (β =
-.187), supporting hypothesis 4. This result implies
that the more invasive the biometric is perceived
to be, the less easy it will be viewed to use.
Perceived physical invasiveness impacted
negatively an individual's intention to use the
biometric device (β = -0.12), supporting hypothesis
5. This implies that the more invasive a biometric
is perceived to be, the less likely are the chances
of the individual actually using the device if a
choice is given.
An individual's perceived need for security was
found to have a significant impact on perceived
usefulness (β = .12), supporting hypothesis 6. The
results
The hypotheses were tested to determine the
model's capability of predicting user acceptance
of biometric devices and the operationalized
model is presented in Figure 2. Table 4 presents
the regression coefficients, t-values, and signifi-
cance levels for the model.
Both perceived usefulness and perceived ease
of use had significant effects on intention to use
(β = 0.50; β = 0.30), supporting hypotheses 1 and
2. The implication here is that if the individual
feels that the biometric device is useful in a par-
ticular situation, they will be more likely to use
the technology. An individual may also be more
Regression Equations
[1]
PI
=
+
P
+
S
+
D
+
D
+
D
+
D
+
D
+
D
+
D
0
1
2
3
1
4
2
5
3
6
4
7
5
8
6
9
7
PU
=
+
P
+
S
+
PEU
+
D
+
D
+
D
+
D
+
[2]
0
1
2
3
4
1
5
2
6
3
7
4
D
+
D
+
D
8
5
9
6
10
7
[3]
PEU
=
+
PI
+
D
+
D
+
D
+
D
+
D
+
D
+
D
0
1
2
1
3
2
4
3
5
4
6
5
7
6
8
7
[4]
S
=
+
P
0
1
[5]
IU
=
+
PU
+
PEU
+
PI
0
1
2
3
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