Theory of Mind (ToM) is a crucial inferential system in human communication, allowing individuals to attribute mental states to themselves and others, and predict behaviors based on these attributions. While it is probable that ToM plays a significant role in interactions with non-human agents displaying similar cues, it remains unclear if humans apply ToM to mechanical agents that exhibit intelligence and social characteristics. To address this gap, we designed an experimental setting to assess ToM in Human-Robot Interaction (HRI). This study investigates the influence of robots’ social attitude on users’ ToM and their performance in False Belief Tasks. We examine how the behavioral programming of robots affects human perceptions and the accuracy of verbal and non-verbal ToM assessments.