“Try, Try, Try Again:” Sequence Analysis of User Interaction Data with a Voice User Interface

Author(s):  
Chelsea M. Myers ◽  
Luis Fernando Laris Pardo ◽  
Ana Acosta-Ruiz ◽  
Alessandro Canossa ◽  
Jichen Zhu
2020 ◽  
Vol 6 (2) ◽  
pp. 104-108
Author(s):  
Rizky Faramita ◽  
Dessi Puji Lestari ◽  
Ginar Santika Niwanputri

The rapid expansion of e-commerce has encouraged many platforms to serve their consumers better, including by providing state-of-the-art user interaction. Voice user interface is integrated in the e-commerce in order to allow users doing multitask while having handful activities and simplify features whose discoverability is low. The interface is designed using user-centered design approach, specifically ISO 9241-210:2010 methodology. In addition, the interface is verified by usability testing conducted in three iterations for two personas. Verification process of the design shows that high-fidelity prototype is 83.0% helpful and 70.0% effective.


2018 ◽  
Vol 23 (5) ◽  
pp. 476-482 ◽  
Author(s):  
Jonas Austerjost ◽  
Marc Porr ◽  
Noah Riedel ◽  
Dominik Geier ◽  
Thomas Becker ◽  
...  

The introduction of smart virtual assistants (VAs) and corresponding smart devices brought a new degree of freedom to our everyday lives. Voice-controlled and Internet-connected devices allow intuitive device controlling and monitoring from all around the globe and define a new era of human–machine interaction. Although VAs are especially successful in home automation, they also show great potential as artificial intelligence-driven laboratory assistants. Possible applications include stepwise reading of standard operating procedures (SOPs) and recipes, recitation of chemical substance or reaction parameters to a control, and readout of laboratory devices and sensors. In this study, we present a retrofitting approach to make standard laboratory instruments part of the Internet of Things (IoT). We established a voice user interface (VUI) for controlling those devices and reading out specific device data. A benchmark of the established infrastructure showed a high mean accuracy (95% ± 3.62) of speech command recognition and reveals high potential for future applications of a VUI within the laboratory. Our approach shows the general applicability of commercially available VAs as laboratory assistants and might be of special interest to researchers with physical impairments or low vision. The developed solution enables a hands-free device control, which is a crucial advantage within the daily laboratory routine.


2021 ◽  
Author(s):  
Wan Norsyafizan W. Muhamad ◽  
Muhamad Azam Abd Halim ◽  
Suzi Seroja Sarnin ◽  
Nurain Izzati Shuhaimi

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