## 4 Discussion
\begin{table}
\begin{tabular}{c c c c c} \hline  & **PU** & **PeU** & **ITU** & **PUs** \\ \hline
**Total (N = 686)** & & & & \\ Honesty–Humility & \(r=-0.25,p<0.001\) & \(r=-0.16,p<0.001\) & \(r=-0.17,p<0.001\) & \(r=-0.18,p<0.001\) \\ Emotionality & \(r=0.01,p=0.894\) & \(r=-0.10,p=0.011\) & \(r=0.05,p=0.173\) & \(r=0.02,p=0.638\) \\ Extraversion & \(r=0.15,p<0.001\) & \(r=0.18,p<0.001\) & \(r=0.14,p<0.001\) & \(r=0.12,p=0.002\) \\ Agreeableness & \(r=-0.05,p=0.201\) & \(r=0.04,p=0.322\) & \(r=-0.09,p=0.013\) & \(r=-0.01,p=0.830\) \\ Conscientiousness & \(r=0.06,p=0.132\) & \(r=0.09,p=0.014\) & \(r=0.01,p=0.854\) & \(r=0.01,p=0.721\) \\ Openness & \(r=-0.12,p=0.002\) & \(r=-0.06,p=0.146\) & \(r=-0.06,p=0.093\) & \(r=-0.07,p=0.067\) \\ Altruism & \(r=-0.05,p=0.233\) & \(r=-0.03,p=0.496\) & \(r=0.01,p=0.832\) & \(r=-0.07,p=0.062\) \\ \hline \end{tabular} Note: \(r=\) (partial) Pearson correlations; all correlations are corrected for age; \(p\)-values are derived from two-sided testing.  
\end{table} 
Table 2: Partial Pearson correlations between the HEXACO-PI-R and technology acceptance model (TAM) scales. correlated with perceived usefulness. Thus, our data do not confirm this prior result. A possible explanation of this finding could be that [PERSON] et al. [PERSON] _et al._ (2013) investigated a \"software tool designed to take care of digital contents like images, music, and files\" (p. 328). Thus, this technology is high in hedonic value, which could explain the positive relationship between openness (to experience) and perceived usefulness. However, it is interesting to note that [PERSON] et al. [PERSON] _et al._ (2011) could not confirm their hypothesis that openness (to experience) would be positively associated with beliefs about the perceived usefulness of technology (a collaborative technology which supported project management, and hence a non-hedonic technology, was investigated, \(r=-0.04\)). It follows that the data of the present study confirm the finding of [PERSON] et al. [PERSON] _et al._ (2011). The central research question of this study is whether gender moderates the personality-TA relationship. Our analyses revealed nearly no significant moderation effects. Yet, we found a negative association between altruism and ITU in men, but a positive association in women. In line with this result, we further found a negative association between PUs and altruism in men, but a positive one in women. Altruism refers to \"a tendency to be sympathetic and soft-hearted toward others. High scorers avoid causing harm and react with generosity toward those who are weak or in need of help, whereas low scorers are not upset by the prospect of hurting others and may be seen as hard-hearted\" ([[http://hexaco.org/scaledescriptions](http://hexaco.org/scaledescriptions)]([http://hexaco.org/scaledescriptions](http://hexaco.org/scaledescriptions))). What follows is that in men, when altruism is high, intention to use the smartphone, and predicted usage of the smartphone, is low. In contrast, in women, when altruism is high, intention to use the smartphone, and predicted usage of the smartphone, is high. Although this moderation effect is interesting, we clearly do not want to over-interpret it. It is noteworthy that it was the only moderation effect that we observed regarding gender on the personality-TA relationship and it is also of importance that it was only observed on one facet of personality. Hence, in the absence of a directed hypothesis and the need to correct for multiple testing, it is questionable if this finding is robust. Moreover, the effect size is weak as well. This all said, and if such a finding would be replicated in other samples, it could mean that in men and women prosocial behavior in the context of technology use might take other directions. When interpreting our results, one has to consider the following limitations, which should deserve attention in future research. In our study, we did not measure actual usage behavior in a specific usage scenario.