  As AI systems are increasingly involved in decision making, it also becomes
important that they elicit appropriate levels of trust from their users. To
achieve this, it is first important to understand which factors influence trust
in AI. We identify that a research gap exists regarding the role of personal
values in trust in AI. Therefore, this paper studies how human and agent Value
Similarity (VS) influences a human's trust in that agent. To explore this, 89
participants teamed up with five different agents, which were designed with
varying levels of value similarity to that of the participants. In a
within-subjects, scenario-based experiment, agents gave suggestions on what to
do when entering the building to save a hostage. We analyzed the agent's scores
on subjective value similarity, trust and qualitative data from open-ended
questions. Our results show that agents rated as having more similar values
also scored higher on trust, indicating a positive effect between the two. With
this result, we add to the existing understanding of human-agent trust by
providing insight into the role of value-similarity.
