Description

As technologies like AI, EMS, and XR enter our daily lives, new social dilemmas arise. Imagine taking a test while another student uses AI support you don't have access to. How do people perceive fairness, advantage, or identity in these contexts? In prior research, we developed a psychometric scale (SHAPE) to measure public attitudes toward technologically augmented humans. However, the tool is currently only available in English. This project asks: How can we make this tool accessible across cultures while preserving its meaning and scientific validity? You'll work on a standardized translation of the SHAPE scale into either German or Japanese-depending on your native language. The process includes linguistic validation, focus groups, expert panels, and online surveys to ensure cultural nuance and psychometric rigor.

You will Gain:

• Insight into cross-cultural HCI and public perception of emerging technologies
• Experience with psychometric translation and qualitative research
• A chance to shape international research on human augmentation

Requirements / Willingness to Learn:

• Native fluency in German or Japanese, and excellent command of English
• Interest in psychology, human augmentation, or cultural studies
• Willingness to conduct focus groups and engage with diverse participants

References

• Steeven Villa, Jasmin Niess, Takuro Nakao, Jonathan Lazar, Albrecht Schmidt, and Tonja-Katrin Machulla. 2023. Understanding Perception of Human Augmentation: A Mixed-Method Study.
• Steeven Villa, Jasmin Niess, Albrecht Schmidt, Robin Welsch. Society's Attitudes Towards Human Augmentation and Performance Enhancement Technologies (SHAPE) Scale