A conceptual framework for human-robot persuasion

![CDATA[Researchers studied various factors such as kinesics, proxemics, robot personality, contextual elements and persuasive strategies which influence Persuasion in Human-Robot Interaction (Liu et al., 2022). However, there is limited work which explores the impact of size and number of social robots, and gender-effect of humans on persuasion. Most experiments revolve around dyadic interactions and gender-effect outcomes in HRI are complex (Dahiya et al., 2023, Nomura, 2017). Therefore, this conceptual paper acknowledges these gaps and proposes a framework to investigate the effect of robot’s number, size and human gender on the perceived persuasiveness and competence of a robot. This paper provides insights to help discover the effectiveness of the robots’ persuasiveness in different types of contexts. For instance, businesses can better understand factors of whether to deploy single or multiple numbers of robots? Or employ small or large robots for gender specific stores such as, jewellery or cosmetic stores?]]