Eye Movement Analysis and Usability Assessment on Affective Computing Combined with Intelligent Tutoring System
Round 1
Reviewer 1 Report
This paper presented an intelligent tutoring system to change negative emotion by using affective computing approach, which includes emotional analysis based on eye movement. The following comments could be helpful for improving your manuscript.
1．It is recommended to use some other relevant datasets for verification, such as GazeCapture.
2．Please clarify and strengthen the originality and novelty of this paper, since the innovation of this paper is limited.
3．Description of experiment is not enough, so there should be more details in experiment part, such as let eye movement appears in different positions.
4．In the experimental part, more comparisons with some state-of-the-art works should be added.
5．Some grammatical errors exist and the English writing needs to be polished.
6．Please give more detailed descriptions of human-computer interaction experiments.
7．Please give qualitative analysis of statistical data.
Author Response
Dear reviewers
Thank you for you. We thank the reviewers for the time and effort they have put into reviewing the previous version of the manuscript. Their suggestions have enabled us to improve our work. Based on the instructions provided in your letter, we have uploaded the file of the revised manuscript. Accordingly, we have uploaded a copy of the original manuscript with all the changes highlighted by using the track change mode in MS Word. Appended to this letter are our point-by-point responses to the comments raised by the reviewers. The comments are reproduced and our responses are given right afterwards in a different color .We would also like to thank you for allowing us to resubmit a revised copy of the manuscript.
We hope that the revised manuscript is accepted for publication in the Journal of Mountain Science.
Sincerely,
Yi-Cheng Liao.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Through intelligent learning of emotional computing, this study combines emotional computing with intelligent tutoring system to achieve effective learning effects. This system aims to change negative learning emotions into positive ones so as to improve students' interest in learning.
There are some questions about the design and presentation of the experiment.
(1) In Section 4.1.2, Q6 “ I think there was too much contradiction in the system” is described as a forward question. Shouldn't it be the reverse question? The author should check it again.
(2) The Standard Deviation in Table 5 is large. It seems the results are not convincing.
(3) Are Table 7 and 8 necessary? The data in these two tables are all zero. I think it is better to describe in text.
(4) The number of participants are slightly small for eye-tracking experiments.
Author Response
Dear reviewers
Thank you for you. We thank the reviewers for the time and effort they have put into reviewing the previous version of the manuscript. Their suggestions have enabled us to improve our work. Based on the instructions provided in your letter, we have uploaded the file of the revised manuscript. Accordingly, we have uploaded a copy of the original manuscript with all the changes highlighted by using the track change mode in MS Word. Appended to this letter are our point-by-point responses to the comments raised by the reviewers. The comments are reproduced and our responses are given right afterwards in a different color .We would also like to thank you for allowing us to resubmit a revised copy of the manuscript.
We hope that the revised manuscript is accepted for publication in the Journal of Mountain Science.
Sincerely,
Yi-Cheng Liao.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
This paper presented an intelligent tutoring system to change negative emotion by using affective computing approach, in which emotional analysis based on eye movement is studied. The following comments could be helpful for improving your manuscript.
1．In the data analysis and results part, an inferior detailed description of some duplicate data should be given.
2．Please pay more attention to citation formats. No Ref. number is given at L34, and L36, L41 have two number in brackets.
3．The font Figure titles are not the same, i.e., some are bolded while some are not.
4．The formats of the references should be checked carefully.
5．The English writing needs to be polished.
Author Response
Dear reviewers
Thanks very much for taking your time to review this manuscript. I really appreciate all your comments and suggestions!Based on the instructions provided in your letter, we uploaded the file of the revised manuscript. Appended to this letter is our point-by-point response to the comments raised by the reviewers. The comments are reproduced and our responses are given directly afterward in a different color.We would like also to thank you for allowing us to resubmit a revised copy of the manuscript.
We hope that the revised manuscript is accepted for publication in the Journal of Susrainability.
Sincerely,
Yi-Cheng Liao
Author Response File: Author Response.pdf
