An in-depth study of how users sketch time series queries
Data analysts and researchers actively work with time series data to gain insights about trends and patterns within a dataset. They employ various tools such as freehand sketches and digital software to identify these significant trends. However, this relies on users’ cognitive intelligence to accur...
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Nanyang Technological University
2023
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sg-ntu-dr.10356-1660922023-04-21T15:37:19Z An in-depth study of how users sketch time series queries Oo, Jun Rui Sourav S Bhowmick School of Computer Science and Engineering ASSourav@ntu.edu.sg Engineering::Computer science and engineering Data analysts and researchers actively work with time series data to gain insights about trends and patterns within a dataset. They employ various tools such as freehand sketches and digital software to identify these significant trends. However, this relies on users’ cognitive intelligence to accurately sketch the time series data they have in mind which in most cases is unreliable. Hence, the objective of this project is to study how users sketch time series data and their ability to accurately sketch the time series graph. A total of 48 participants have been engaged to sketch time series graphs of different characteristics. These include linear patterns, non-linear patterns, salient points, small fluctuations, and steep curves. Participants’ sketches are evaluated based on the sketch complexity and more importantly the similarity of their sketch to the actual time series displayed. This study found that participants can sketch linear straight-line graphs accurately and include salient points within their sketches. However, they are less accurate when it comes to time series graphs with multiple turning points or time series graphs that has a steep inconsistent rate of change between points. More research can be done with a larger group of participants to have a better overall view of the results. These results can be useful in developing Visual Query Systems that utilise users’ freehand sketches. Bachelor of Engineering (Computer Science) 2023-04-21T06:05:13Z 2023-04-21T06:05:13Z 2023 Final Year Project (FYP) Oo, J. R. (2023). An in-depth study of how users sketch time series queries. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166092 https://hdl.handle.net/10356/166092 en SCSE22-0332 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering Oo, Jun Rui An in-depth study of how users sketch time series queries |
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Data analysts and researchers actively work with time series data to gain insights about trends and patterns within a dataset. They employ various tools such as freehand sketches and digital software to identify these significant trends. However, this relies on users’ cognitive intelligence to accurately sketch the time series data they have in mind which in most cases is unreliable. Hence, the objective of this project is to study how users sketch time series data and their ability to accurately sketch the time series graph.
A total of 48 participants have been engaged to sketch time series graphs of different characteristics. These include linear patterns, non-linear patterns, salient points, small fluctuations, and steep curves. Participants’ sketches are evaluated based on the sketch complexity and more importantly the similarity of their sketch to the actual time series displayed.
This study found that participants can sketch linear straight-line graphs accurately and include salient points within their sketches. However, they are less accurate when it comes to time series graphs with multiple turning points or time series graphs that has a steep inconsistent rate of change between points. More research can be done with a larger group of participants to have a better overall view of the results. These results can be useful in developing Visual Query Systems that utilise users’ freehand sketches. |
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Sourav S Bhowmick |
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Sourav S Bhowmick Oo, Jun Rui |
format |
Final Year Project |
author |
Oo, Jun Rui |
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Oo, Jun Rui |
title |
An in-depth study of how users sketch time series queries |
title_short |
An in-depth study of how users sketch time series queries |
title_full |
An in-depth study of how users sketch time series queries |
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An in-depth study of how users sketch time series queries |
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An in-depth study of how users sketch time series queries |
title_sort |
in-depth study of how users sketch time series queries |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/166092 |
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