Abstract
Intelligent voice user interfaces (UIs) are increasingly accepted by users to replace traditional ones to operate intelligent personal assistant devices. This study developed a model to explicate the key factors influencing users’ voluntary switching behavior between traditional UIs and intelligent voice ones from push-pull-mooring framework perspective, which considers the push effect from two dimensions of perceived inconvenience, the pull effect from three factors based on perceived value, and the mooring effect from switching costs. A mixed-methods approach is adopted to explore pull factors (qualitative) and validate model (quantitative). The model was validated based on 259 respondents using both traditional UI and intelligent voice one of smart home devices from China. The results indicated that all push (extrinsic and intrinsic inconvenience), pull (interface adaptivity, playfulness, and social presence) and mooring (switching costs) factors significantly affect switching intention and then affect actual behavior. The implications for research and practice are discussed.
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Notes
Smart home device (SHD) refers to an end-device that is used at home and can be requested by users to perform features through voice commands, which is being widely pushed to market by suppliers, such as smart speakers, smart home appliances and so on.
In the extrinsic stage, the interaction between end-user and traditional UI requires end-user’s limb to contact with UIs in space, while the interaction with intelligent voice UI does not; In the intrinsic stage, the interaction between end-user and traditional UI is fixed because traditional UI is a clearly distinguishable systems in bounded contexts, while the interaction with intelligent voice UI is not fixed because intelligent voice UI is a flexible and unrestricted framework, for example, the intelligent voice UI can execute a deep feature of system in one step operation by understanding semantics, while the traditional one needs to operate step-by-step by clicking.
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Cheng, S. Understanding Users’ Voluntary Switching Behavior for User Interfaces of Intelligent Personal Assistant Devices. Inf Syst Front (2024). https://doi.org/10.1007/s10796-023-10459-6
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DOI: https://doi.org/10.1007/s10796-023-10459-6