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- W3118998664 abstract "Currently, the use of voice-assistants has been on the rise, but a user-centric usability evaluation of these devices is a must for ensuring their success. System Usability Scale (SUS) is one such popular usability instrument in a Graphical User Interface (GUI) scenario. However, there are certain fundamental differences between GUI and voice-based systems, which makes it uncertain regarding the suitability of SUS in a voice scenario. The present work has a twofold objective: to check the suitability of SUS for usability evaluation of voice-assistants and developing a subjective scale in line with SUS that considers the unique aspects of voice-based communication. We call this scale as the Voice Usability Scale (VUS). For fulfilling the objectives, a subjective test is conducted with 62 participants. An Exploratory Factor Analysis suggests that SUS has a number of drawbacks for measuring the voice usability. Moreover, in case of VUS, the most optimal factor structure identifies three main components: usability, affective, and recognizability and visibility. The current findings should provide an initial starting point to form a useful theoretical and practical basis for subjective usability assessment of voice-based systems." @default.
- W3118998664 created "2021-01-18" @default.
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- W3118998664 date "2021-01-11" @default.
- W3118998664 modified "2023-10-16" @default.
- W3118998664 title "Usability Evaluation of Artificial Intelligence-Based Voice Assistants: The Case of Amazon Alexa" @default.
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- W3118998664 doi "https://doi.org/10.1007/s42979-020-00424-4" @default.
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