Human-Computer Interaction in Intelligent Environments

Abstract

The goal of this chapter is to provide a comprehensive overview of the most vital areas shaping HRI. To accomplish this, this chapter is organized in the following way. First, it presents and discusses the types of robots. The field of HRI has explored a diverse range of robots, revealing their impact on various outcomes (Robert, 2018; Robert Jr et al., 2020). Second, this chapter presents a scoping literature review that surveys trust in HRI. Trust is the foundation by which humans have sought, engaged, and benefited from one another. It is no surprise that trust has been shown to be vital for collaborative action between humans and robots. Third, this chapter identifies and discusses the literature on personality in HRI. Personality, both human and robot, has been shown to impact the interactions between humans and robots. Personality can be viewed as a representation of an individual human or robot’s future behaviors, cognitions, and emotional reactions (Robert, 2018). To fully grasp the intricacies of personality in HRI, this chapter employs a multidisciplinary approach encompassing several views on both human and robot personality. Next, this chapter presents the literature on robot explanations. “Robot explanations” can be defined as the reasons that the robot provides to make its actions clear or easy to understand (Zhang et al., 2021). Robot explanations can decrease the uncertainty associated with the robot’s actions by providing transparency. Finally, this chapter delves into the various metrics used to evaluate HRI. We also discuss the latest research on evaluation metrics of human interaction with robots. Traditionally, evaluation metrics of human interaction with robots have survey‑based static measures. However, recent advances in sensors allow for real‑time measures based on physiological changes, which can be obtained alongside or in place of traditional survey measures. In summary, this chapter provides an overview of important HRI areas shaping the field today.