Papers
6
Total Citations
31
H-Index
3
About
Theresa Schmiedel is a leading researcher in human-robot interaction, specializing in the design and deployment of social robots in real-world organizational contexts. Her work bridges user-centered design, agile development, and value-sensitive approaches to create robots that are not only functional but also socially and culturally appropriate. Her most-cited paper (13 citations) presents a user-centered agile methodology for developing a receptionist robot, demonstrating a practical framework for moving robots from labs to workplaces. She has also explored the psychological and behavioral factors that make robots likable (8 citations), examining variables such as anthropomorphism, voice, and gaze. Her research on gaze behavior and perceived response delay (3 citations) and value-sensitive design (3 citations) highlights her commitment to ethical and human-centric robotics. More recently, she has addressed persuasive generative robots in eldercare (2 citations), showing forward-looking engagement with AI ethics. With a growing body of work that integrates cultural considerations and organizational needs, Schmiedel is shaping how social robots can be responsibly integrated into society.
Research Focus
Key Achievements
Top Papers
- 1
- 2Exploring Variables That Affect Robot Likeability8 citations · 2022
- 3Towards a Wave Approach for Value Sensitive Design in Social Robotics3 citations · 2023
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