Humans-as-a-Sensor for Buildings—Intensive Longitudinal Indoor Comfort Models

Round 1

Reviewer 1 Report

I commend the authors on the quality of this paper. It comprehensively describes a novel advancement to comfort and POE research methodology. The background and cited literature are thorough and appropriately support the research. The authors have seamlessly brought together different disciplinary approaches (e.g. architectural science, ML) in a way that is hard to find within the field. I have no further suggestions for the authors and do not hesitate to recommend the paper for publication. I look forward to seeing it published, no doubt citing it, and sharing it widely.

Author Response

Please find the attached document as a response to the review.

Author Response File: Author Response.pdf

Reviewer 2 Report

This paper presents a very interesting study to test the ability of an intensive longitudinal method to capture numerous environmental feedback data from experimental participants in a field setting. It is well structured and may make contributions to the prediction of indoor comfort. However, there are some issues which should be addressed before the paper can be accepted.

1. The main concern of this longitudinal method is how to apply it to a broad context. Since it requires to use a particular smartwatch, the cost of which will be a major concern for its application in different buildings/environments. The authors should add more discussions on the application of this method.

2. In Section 5.1.2, it is a good idea to design the office space based on individual thermal comfort needs. However, since modern office buildings are more open planned, it is very hard to divide the floor into too many different thermal zones to meet with the individual needs. Are there any suggestions to solve this problem?

3. Thermal comfort prediction accuracy is only 64%. The prediction accuracy for lighting and noise are quite good. What are the reasons behind the lower accuracy of thermal comfort prediction?

Author Response

Please find the attached document as a response to the reviewer.

Author Response File: Author Response.pdf