Authors:
Jana Deutschländer
1
;
Anna Weigand
1
;
2
;
Andreas M. Klein
2
;
1
;
Dominique Winter
3
and
Maria Rauschenberger
1
Affiliations:
1
Faculty of Technology, University of Applied Sciences Emden/Leer, Emden, Germany
;
2
Department of Computer Languages and Systems, University of Seville, Seville, Spain
;
3
University of Siegen, Siegen, Germany
Keyword(s):
Voice User Interfaces, User Experience, UX Aspects, Kano, Categorization, Voice Assistants, Mixed Methods.
Abstract:
Voice user interface (VUI) evaluation often focuses on user experience (UX) quality measurement of UX
aspects for VUIs. However, it is crucial to differ among these UX aspects concerning their relevance to
specific target groups, like different usage contexts, or user characteristics such as age. Therefore, we identified
potential age-specific characteristics and determine their nature, if any. We applied the Kano model using an
age-segmentation to categorize these 32 UX aspects based on VUI user data (N = 384). Our findings reveal
that UX aspects of VUIs are broadly consistent across all age groups, and VUI developers and researchers
should consider the important ones. Some age effects are visible and could impact the success of VUIs.