Noelle Massey

Papers

Total Citations

261

H-Index

About

Noelle Massey is a leading researcher at the intersection of artificial intelligence, social robotics, and human-computer interaction. Her work primarily explores how social identity theory shapes human perceptions of intelligent systems, with a particular focus on the nuanced role of voice and embodiment in human-robot interactions. Massey’s most influential contribution is her landmark 2018 study, “Evaluations of an artificial intelligence instructor's voice: Social Identity Theory in human-robot interactions,” which has garnered 261 citations. This work demonstrated that users evaluate AI voices through the lens of social identity, revealing that factors like perceived gender, accent, and authority significantly impact trust, engagement, and learning outcomes. By bridging social psychology with robotics, Massey has provided a foundational framework for designing more inclusive and effective AI interfaces. Her research has profound implications for education, healthcare, and service robotics, where user acceptance is critical. Recognized for her innovative experimental designs, Massey continues to shape how we understand and design for the social dynamics between humans and machines.