Understanding Perception of Human Augmentation: A Mixed-Method Study

Villa, Steeven ; Niess, Jasmin ; Nakao, Takuro ; Lazar, Jonathan ; Schmidt, Albrecht und Machulla, Tonja-Katrin (2023): Understanding Perception of Human Augmentation: A Mixed-Method Study. CHI conference on Human Factors in Computing Systems (CHI), Hamburg, Germany, 23 - 28 April 2023. Schmidt, Albrecht (Hrsg.): In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 65 New York: Association for Computing Machinery.

Abstract

Technologies that help users overcome their limitations and integrate with the human body are often termed “human augmentations”. Such technologies are now available on the consumer market, potentially supporting people in their everyday activities. To date, there is no systematic understanding of the perception of human augmentations yet. To address this gap and build an understanding of how to design positive experiences with human augmentations, we conducted a mixed-method study of the perception of augmented humans (AHs). We conducted two scenario-based studies: interviews (n = 16) and an online study (n = 506) with participants from four countries. The scenarios include one out of three augmentation categories (sensory, motor, and cognitive) and specify if the augmented person has a disability or not. Overall, results show that the type of augmentation and disability impacted user attitudes towards AHs. We derive design dimensions for creating technological augmentations for a diverse and global audience.

• Dokumententyp: Konferenzbeitrag (Paper)
• Fakultät: Mathematik, Informatik und Statistik > Informatik
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
• ISBN: 978-1-4503-9421-5
• Ort: New York
• Sprache: Englisch