In this study, we investigated if there is consensus in using emotions as an additional communication channel to support multi-modal Human-Robot Interactions (HRI) in urban search and rescue scenarios, in which effectiveness of interactions is the key to success. The natural mappings between specific situations that might happen during missions and the proper emotions for the robots to show in that situation were obtained through a Mturk study with 78 participants. Suggested mappings for a set of 10 common situations were provided, which can be used to improve HRI in urban search and rescue situations.