Glenda Hannibal
Papers
8
Total Citations
97
H-Index
6
About
Glenda Hannibal’s research sits at the vital intersection of human-robot interaction (HRI), sociology of labor, and education, exploring how social robots reshape human experiences of trust, vulnerability, and identity. Her most cited work, “Service robots for affective labor” (27 citations), critically examines how profit-driven sectors deploy robots for socio-cognitive tasks, drawing on labor sociology to reveal challenges to workplace identity. In “Teachers’ Disappointment” (23 citations), she advances the affective turn in education, highlighting the emotional lives of educators often overlooked in robot-assisted learning. Hannibal’s influential studies on trust—such as “The robot may not notice my discomfort” (13 citations)—pioneer a focus on human vulnerability in everyday HRI scenarios, moving beyond high-risk games to real-world privacy and comfort. Her case study using the NAO robot as a Persuasive Educational and Entertainment Robot (7 citations) demonstrates practical applications in children’s learning. By conceptualizing “everyday life” in HRI (2023, 6 citations), Hannibal provides a systematic critique that guides future design. Her work is essential for anyone interested in ethically integrating robots into service, education, and daily life.
Research Focus
Key Achievements
Top Papers
- 1Service robots for affective labor: a sociology of labor perspective27 citations · 2021
- 2Teachers' Disappointment23 citations · 2020
- 3
- 4What makes people accept or reject companion robots?10 citations · 2018
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- 6Towards a conceptualisation and critique of everyday life in HRI6 citations · 2023
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- 8