Aulia Djamal

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About

Aulia Djamal’s research lies at the intersection of human-robot interaction and trust dynamics, with a particular focus on understanding the psychological and contextual factors that shape how people perceive and rely on robotic systems. Their most-cited work, a scoping review titled “Factors Influencing Human Trust Towards Robots,” synthesizes a broad body of literature to identify key determinants of trust—such as robot appearance, reliability, and user experience—offering a foundational framework for designing more trustworthy autonomous systems. With over 1 citation already, this review has quickly become a reference point for scholars exploring the nuances of human-robot relationships. Djamal’s contributions are especially valuable in an era where robots are increasingly integrated into healthcare, service, and domestic settings, making trust a critical barrier to adoption. By mapping out these influencing factors, their work not only advances theoretical understanding but also provides practical guidance for engineers and designers aiming to foster user confidence. Aulia Djamal’s research is a vital step toward bridging the gap between human expectations and robotic capabilities, ensuring that future technologies are both effective and accepted.