## 2 Related Work  
### Evolution and Importance of Trust in Human-Robot Interaction  
Within the domain of artificial intelligence, the interaction between humans and robots has attracted significant attention. One of the core challenges is the establishment and sustainment of an effective trust relationship during HRI. Such a trust relationship can enhance the efficiency and efficacy of interaction, thereby optimizing the distribution of workload between humans and robots. In recent years, the \"human-in-the-loop\" concept has emerged as a prevailing approach in this field. Scholars have extensively explored trust issues in HRI, addressing topics such as the definition of trust, the determinants of trust, and its practical implications.  
The concept of \"Trust\" originated from studies on interpersonal relationships, describing an emotional connection in human interactions. For instance, [PERSON] et al. found that the level of trust significantly influences factors such as emotions, perceived attractiveness, and morality among interacting individuals [12]. From a sociological perspective, variations in interpersonal trust profoundly influence individual well-being, social engagement, socio-economic advancement, and proactive behavior [13; 14; 15; 16].  
HRI, at its core, is an endeavor to simplify technical dialogues between human operators and intelligent robots, transcending traditional robot language barriers [17]. Such interaction harnesses the analytical prowess of robots with the intuitive capabilities of humans, creating synergies that have seen application in diverse contexts. The adoption of robots offers tangible benefits: marked reductions in economic overheads, minimized environmental impact, and a substantial reduction in human risk [10]. However, amidst these advancements, human trust in robots stands out as a cornerstone, especially when evaluating the interaction's overall quality [18; 19].  
The degree of trust a human places in robots demonstrates its significance and pivotal role across various domains. In healthcare, trust in robots affects the allocation of medical resources based on HRI and the effectiveness of contagious disease containment [20; 21; 22]. In military contexts, the extent of human trust in robots directly determines the operational efficiency of military surveillance sensor devices and the accuracy of military communications [23; 24]. Further, trust in robots influences the application and execution of AI dynamic trust calibration mechanisms in high-risk military decision-making [25]. Even in ecological research, such as high-altitude animal migration studies, the validity of findings hingeson the level of trust in the HRI [26]. A noteworthy caveat, however, is that increasing decisional complexities can erode this trust, potentially undermining interaction [27].  
In summary, the essence of research in HRI centers on understanding and addressing trust issues during the interactive process. Given its significance, trust serves as the bedrock for the wide-ranging applications of HRI, spanning from medical to military domains and beyond, as the effectiveness of these applications hinges on users' confidence in a robot's capabilities and recommendations. This paper delves into the nature of trust within HRI, its parallels with interpersonal trust, and the specific dynamics influencing trust in robots. By shedding light on these areas, our goal is to bolster the quality of outcomes in HRI, thereby contributing to advancements in the broader realm of artificial intelligence.