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Peer-Review Record

Dialogue Management and Language Generation for a Robust Conversational Virtual Coach: Validation and User Study

Sensors 2023, 23(3), 1423; https://doi.org/10.3390/s23031423
by Alain Vázquez, Asier López Zorrilla, Javier Mikel Olaso and María Inés Torres *
Reviewer 1: Anonymous
Sensors 2023, 23(3), 1423; https://doi.org/10.3390/s23031423
Submission received: 10 December 2022 / Revised: 13 January 2023 / Accepted: 19 January 2023 / Published: 27 January 2023
(This article belongs to the Section Communications)

Round 1

Reviewer 1 Report

The paper proposed a dialogue management and language generation-based virtual coach application. The natural language generation combines the classical template-based approach with transformer-based LM, where the SOTA GPT-2 is adopted as a pre-trained model. 

The paper is organized well, where the details of design, implementation, and experiment are solid.

Based on the present form, the manuscript is supposed to give results of response time of conversation in experiments. It will perform the effectiveness and efficiency of the proposed virtual coach in real-time application scenario.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Is this virtual coach is restricted to those three regions? Or is it generic enough to be used across the world?

The VC system is running in cloud (as per my understanding). Is it not worthwhile to use edge devices towards continuous learning? If the cloud is situated at a faraway place, the real-time interaction is possible?

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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