![]() The integration of other laboratory device types is possible. Only the specific proprietary interaction commands and the communication standard (depending on the installed data exchange interface) within the local service need to be changed. The integration of a similar device from another vendor is possible. 2 for the JSON layout of the used device shadows).ĭue to its modular fashion, the developed environment allows for easy integration of additional speech commands by only adding compatible code on the cloud side of the system. The device shadow basically acts as an MQTT broker that holds a predefined key–value JSON of the device’s conditions and states (see Fig. The skill accepts requests based on the interaction model and performs actions upon these, for example, providing an audio feedback and/or interacting with the device shadow that is a digital representation of the current device state. This so-called interaction model uses an Internet-accessible skill hosting service as an endpoint and uses commercial NLP algorithms (Amazon) to process speech inquiries and generate speech output. The model also contains a defined phrase, for example, “to measure current value” or “to set wavelength to XXX nanometers.” Specific phrases invoke an intent, which, regarding the abovementioned examples, causes a photometric measurement or sets the spectrophotometer to a desired wavelength (see Fig. The voice model holds information about the skill’s invocation name, for example, “photometer,” which needs to be said to call a skill. ![]() The developed solution enables a hands-free device control, which is a crucial advantage within the daily laboratory routine. 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. 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. ![]() We established a voice user interface (VUI) for controlling those devices and reading out specific device data. In this study, we present a retrofitting approach to make standard laboratory instruments part of the Internet of Things (IoT). 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. Although VAs are especially successful in home automation, they also show great potential as artificial intelligence-driven laboratory assistants. ![]() 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. The introduction of smart virtual assistants (VAs) and corresponding smart devices brought a new degree of freedom to our everyday lives. ![]()
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