Unintended Consonances: Methods to Understand Robot Motor Sound Perception
Publikasjonsdetaljer
Sider : 1–12
År : 2019
Publikasjonstype : Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
En del av : ACM CHI Conference on Human Factors in Computing Systems ( Association for Computing Machinery (ACM) , 2019 )
År : 2019
Lenker
:
DOI
:
doi.org/10.1145/3290605.330073...
Har du spørsmål om noe vedrørende publikasjonen, kan du kontakte Nofimas bibliotekleder.
Kjetil Aune
Bibliotekleder
kjetil.aune@nofima.no
Sammendrag
Recent research suggests that a robot's motors make sounds that can influence users' perception of the robot's characteristics. To more deeply understand users' associations with specific sonic characteristics, we adapted methods from sensory science including Check All That Apply (CATA) questions and Polarized Sensory Positioning (PSP) to tease out small differences in motor sounds in an online survey. These methods are straightforward for untrained people to do in an online setting, mathematically rigorous, and can explore a variety of subtle auditory and perceptual stimuli. We describe how to use these methods, interpret the results with several intuitive visual representations, and show that the results align with a previous study of the same dataset. We close by discussing benefits and limitations of applying these methods to study subtle phenomena in the HCI community.