The LIT Robopsychology Lab conducts empirical research on current psychological questions of artificial intelligence and robotics, on fears of new technology and on determinants of technology acceptance. The following research topics are currently in the focus of our staff. Within the scope of these topics, final theses are also supervised.
Based on theories of cognitive trust and nonverbal communication, we explore the interplay between the explainability and predictability of collaborative robots on the one hand and a user's perceived control, subjective safety and trust on the other.
The "uncanny valley" hypothesis (Mori, 1970) suggests that highly but not perfectly humanlike machines are perceived as eerie. We investigate the conditions of this effect in the context of visual and behavioral humanlikeness of robots.
New technologies of voice synthesis can give smart assistants and chatbots many different voice characters. We investigate which voice fits which usage context and how important it is to have clarity about whether your conversation partner is human or a machine.
From potential positive effects such as a strengthening of perceived self-efficacy to potential negative consequences such as dehumanization effects, we deal with the impacts of new body augmentation tools (implants, exoskeletons, etc.) on their users.