{Do I Argue Like Them? A Human Baseline for Comparing Attitudes in Argumentations} When different persons exchange their attitudes in an argumentation, it is useful to measure how similar the attitudes in that argumentation are: for distance-based recommender systems which suggest other arguments, finding clusters of similar people, or comparing one's own attitude with the attitudes of political parties. Those applications need a mathematical metric to calculate the distance between two attitudes in an argumentation. But which properties should an intuitive metric fulfill? We surveyed untrained persons to find out which properties such a metric should have to produce results matching human intuition. For that, we formulated several hypotheses for useful properties, which we then tried to confirm in our survey. As a result, we were able to identify some properties a metric for comparing attitudes represented as argumentation graphs should have, and some properties where further research is needed. argumentation graphs, metric, human baseline 1--15 http://ceur-ws.org/Vol-2777/paper21.pdf 2020 11 Proceedings of the Workshop on Advances In Argumentation In Artificial Intelligence 2020 2777 CEUR Workshop Proceedings Aachen 2020-11-25 Markus Brenneis Martin Mauve Bettina Fazzinga Filippo Furfaro Francesco Parisi