This paper presents a model for developing long-term human-robot interactions and social relationships based on the principle of 'human' cognitive biases applied to a robotic platform. The aim of this work is to study how a robot influenced with human 'misattribution' can help to build better human-robot interactions than unbiased robots. The results presented in this paper suggest that it is important to know the effect of cognitive biases in human characteristics and interactions in order to better understand how this plays a role in human-human social relationship development for the purpose of developing robot-human interactions and relationships. The results presented in this paper show how a single cognitive memory bias i.e. misattribution in robot-human verbal communication allows for better human-robot interaction than similar robot-human communication without this misattribution bias.
|Conference||23rd IEEE International Symposium on Robot and Human Interactive Communication|
|Abbreviated title||Ro-Man 2014|
|Period||25/08/14 → 29/08/14|