IEEE Technology and Society Magazine - June 2016 - 63

Education
A Spearman correlation coefficient was computed to
assess the relationship between the education level of
the participants and the Acceptability for Use. The correlation between the two variables was not significant,
r = −0.002, N = 341, p = 0.967. The results indicate that
the education level of the participants and the Acceptability for Use are not associated.

Social role
For the Acceptability for Use, the analysis of variance revealed a significant difference between
groups with different social roles, F(2, 394) = 3.42,
p = 0.034. Post hoc analysis using the Sheffe post
hoc criterion for significance indicated that the parent group manifested a lower level of Acceptability
for Use (M = 3.95, Sd = 0.76) compared to the others
group (M = 4.19, Sd = 0.66) and the mean difference
MD = −1.18 was significant, at p = 0.04, with a small
effect size (d = 0.33).

Experience with robots
For the Acceptability for Use, the analysis of variance
revealed a significant difference between groups with
different levels of experience with robots, F(2, 198) =
8.85, at p = 0.00
Post hoc analysis using the Sheffe post hoc criterion for significance indicated that the group with specific experience with robots manifested a higher level
of Acceptability for Use (M = 4.40, Sd = 0.50) compared to the group with no experience with robots
(M = 3.81, Sd = 0.76) and the mean difference MD =
2.93 was significant, p = 0.00, with a high effect size
(d = 0.905).

Acceptability of human-like interaction
Gender
An independent-samples t-test was conducted to compare the Acceptability of Human Interaction in female
and male participants. The results indicate a significant
difference in the scores of male participants (M = 3.43,
Sd = 0.87) and female participants (M = 3.12, Sd =
0.77), t(338) = −2.693, p = 0.007, with a small effect
size (d = −0.33). These results suggest that gender is
related to the Acceptability of Human Interaction. Specifically, our results suggest that men manifest a higher
level of Acceptability of Human Interaction compared
to women.

correlation between the two variables was not significant,
r = −0.036, N = 394, p = 0.510. The results indicate that
the age of the participants and the Acceptability of
Human Interaction are not associated.

Education
A Spearman correlation coefficient was computed to
assess the relationship between the education level of
the participants and the Acceptability of Human Interaction. The correlation between the two variables was
not significant, r = 0.070, N = 394, p = 0.196. The
results indicate that the education level of the participants and the Acceptability of Human Interaction are
not associated.

A significant majority of the
respondents agree with using robots
in the health care system and
specifically, in ASD children.

Social role
For the Acceptability of Human Interaction, the analysis of variance indicates that there are no significant differences between groups of parents, therapists, and
others on the Acceptability of Human Interaction subscale F(2, 394) = 2.00, p = 0.13.

Experience with robots
For the Acceptability of Human Interaction, the analysis of variance revealed a significant difference between
groups with different levels of experience with robots,
F(2, 198) = 5.17, p = 0.006.
Post hoc analysis using the Sheffe post hoc criterion
for significance indicated that the group with specific
experience with robots manifested a higher level of
Acceptability of Human Interaction (M = 3.47, Sd =
0.72) compared to the group with no experience with
robots (M = 2.98, Sd = 0.86) and the mean difference
MD = 1.95 was significant, p = 0.007, with an average
effect size (d = 0.61).

Acceptability of non-human appearance

Age

Gender

A Pearson correlation coefficient was computed to
assess the relationship between the age of the participants and Acceptability of Human Interaction. The

An independent-samples t-test was conducted to compare the Acceptability of Non-Human Appearance in
female and male participants. The results indicate a

june 2016

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IEEE TEchnology and SocIETy MagazInE

63



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