Introducing a Virtual Assistant to the Lab: A Voice User Interface for the Intuitive Control of Laboratory Instruments

被引:45
作者
Austerjost, Jonas [1 ,2 ]
Porr, Marc [1 ]
Riedel, Noah [1 ]
Geier, Dominik [2 ]
Becker, Thomas [2 ]
Scheper, Thomas [1 ]
Marquard, Daniel [1 ]
Lindner, Patrick [1 ]
Beutel, Sascha [1 ]
机构
[1] Leibniz Univ Hannover, Inst Tech Chem, Callinstr 5, D-30167 Hannover, Germany
[2] Tech Univ Munich, Forschungszentrum Weihenstephan, Inst Brewing & Beverage Technol, Munich, Germany
来源
SLAS TECHNOLOGY | 2018年 / 23卷 / 05期
关键词
virtual assistant; laboratory automation; voice user interface; Internet of Things; digital transformation;
D O I
10.1177/2472630318788040
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:476 / 482
页数:7
相关论文
共 29 条
[1]  
Allen A. A., 2017, ADV NEURODEV DISORD, V2017, P1
[2]  
Amazon Developer, AL VOIC SERV OV
[3]  
Amazon Web Services, AWS IOT COREDOKUMENT
[4]   A smart device application for the automated determination of E-coli colonies on agar plates [J].
Austerjost, Jonas ;
Marquard, Daniel ;
Raddatz, Lukas ;
Geier, Dominik ;
Becker, Thomas ;
Scheper, Thomas ;
Lindner, Patrick ;
Beutel, Sascha .
ENGINEERING IN LIFE SCIENCES, 2017, 17 (08) :959-966
[5]   Jumping NLP Curves: A Review of Natural Language Processing Research [J].
Cambria, Erik ;
White, Bebo .
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2014, 9 (02) :48-57
[6]   Accent Issues in Large Vocabulary Continuous Speech Recognition [J].
Chao Huang ;
Tao Chen ;
Eric Chang .
International Journal of Speech Technology, 2004, 7 (2-3) :141-153
[7]   Alexa, Can I Trust You? [J].
Chung, Hyunji ;
Iorga, Michaela ;
Voas, Jeffrey ;
Lee, Sangjin .
COMPUTER, 2017, 50 (09) :100-104
[8]  
Cohen M. H., 2004, COMPUTER, V49, P368
[9]   Industry Watch: The pros and cons of listening devices [J].
Dale, Robert .
NATURAL LANGUAGE ENGINEERING, 2017, 23 (06) :969-973
[10]   The commercial NLP landscape in 2017 [J].
Dale, Robert .
NATURAL LANGUAGE ENGINEERING, 2017, 23 (04) :641-647