Abstract
Our identity affects our daily tasks, habits, decisions we make, and how we interact with others. Identity is often associated with “Who am I?”. Examples of identity includes socioeconomic status, education level, age, religious affiliation, and more. The examples previously mentioned are how we identify with demographics. However, associated with our identity are traits. As the world becomes more tech-driven, it is important to include human behaviors in technology. Generative Artificial Intelligence (GenAI) is an emerging technology with anthropomorphic qualities. With GenAI's anthropomorphic qualities, humans' interactions with the technology have shifted trust. This research is based on the Social Cognitive Theory (SCT), which describes the influence of one’s experience, the impact of others, and environments that ultimately impact an individual’s behavior. Key components of SCT include self-efficacy and observational learning, which play a crucial role in how users interact with AI daily. This study investigates the relationship between users' trust in AI-generated outputs and users’ dispositional factors with the personality trait of ‘Openness’ from the BFI-10 Inventory as the moderator.
Recommended Citation
Hopson, Destiny and Xue, Botong, "People, Profiles, and Perception: Demographic Based Traits as Determinants of User Trust in AI-Generated Outputs" (2026). AMCIS 2026 TREOs. 162.
https://aisel.aisnet.org/treos_amcis2026/162