Abstract:

This bachelor’s thesis investigates the acceptance of explainable artificial intelligence (XAI)

from a user perspective using a combined technology acceptance model (TAM). While previous

research has mainly focused on the technical side of XAI, less attention has been paid to the

psychological factors that determine human behavior. To close this gap, the study combines

Davis’ original TAM with Shin’s XAI-specific model and empirically evaluates their suitability

using a survey with a credit decision scenario. The results show that the classic TAM factors

have little influence on usage intention when it comes to XAI. Instead, other factors prove to

have a stronger influence on usage intention. The results underline the need to supplement

existing TAMs with specific XAI factors such as trust, fairness, and transparency in order to

further advance research on XAI from a user perspective.