This study investigates the subjective experience of interacting with a social robot at Aalborg Airport (AAL) by conducting a field study where 23 attributes in Human-Robot Interaction (HRI) were elicited. During two tests, Danish travellers were recruited by a remote controlled Double robot, which offered four wayfinding options specific for AAL. In the first test 30 subjects participated in a semi-structured interview about their experience. Observations and the subjects' statements were interpreted and coded using an affinity diagram. The affinity diagram resulted in 10 superordinate categories from which the 23 attributes were elicited and developed into scales. The scales were used in the second test at AAL, where 43 subjects rated HRI. The ratings were analysed with Principal Component Analysis (PCA). The developed scales presented in this paper might be used by robot designers for specific contexts and potentially for tailored user experience evaluations.
|Conference||27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)|
|Period||27/08/2018 → 31/08/2018|
|Series||IEEE RO-MAN proceedings|