Can Sentiment Mining of Novice and Expert User Survey Feedback Enhance the Digital User Experience?

Vivien Johnston; Michaela Black; J. G. Wallace; RR Bond; Maurice Mulvenna

doi:10.1109/CHIuXiD57244.2022.10009801

Can Sentiment Mining of Novice and Expert User Survey Feedback Enhance the Digital User Experience?

Vivien Johnston, Michaela Black, J. G. Wallace, RR Bond, Maurice Mulvenna

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In recent years, sentiment mining has been used within politics and social media to understand the emotions and opinions that people have about society and different political groups to help bring change. However, in the user centered design process, a main component that helps bring change is the use of user feedback and there has been little research in terms of adopting sentiment mining to assist with this and the user experience of an application. This research paper implements the use of sentiment mining on user survey feedback from Jupyter Notebook and has identified different components of the user experience that caters for novice and expert users independently. Recommendations from this research will help Jupyter Notebook create a user experience that caters to novice and expert users and their workflow needs. This initial analysis has identified that sentiment mining provides important and subtle enhancements for user experience that other tools and techniques do not provide. Therefore, this is a worthwhile method of user experience assessment to foster to enhance a digital user experience.

Original language	English
Title of host publication	2022 8th International HCI and UX Conference in Indonesia (CHIuXiD)
Publisher	IEEE
Pages	19-24
Number of pages	6
ISBN (Electronic)	978-1-6654-7664-5, 978-1-6654-7663-8
ISBN (Print)	978-1-6654-7665-2
DOIs	https://doi.org/10.1109/CHIuXiD57244.2022.10009801
Publication status	Published online - 13 Jan 2023
Event	HCI and UX Conference in Indonesia (CHIuXiD), 2022 8th International - , Indonesia Duration: 19 Nov 2022 → 19 Nov 2022

Publication series

Name	Proceedings of 2022 8th International HCI and UX Conference in Indonesia, CHIuXiD 2022

Conference

Conference	HCI and UX Conference in Indonesia (CHIuXiD), 2022 8th International
Abbreviated title	CHIuXiD
Country/Territory	Indonesia
Period	19/11/22 → 19/11/22

Bibliographical note

The authors acknowledge the support of the European Commission on the H2020 project MIDAS (G.A. nr. 727721) and Department of the Economy Northern Ireland.

Funding Information:
ACKNOWLEDGMENT The authors acknowledge the support of the European Commission on the H2020 project MIDAS (G.A. nr. 727721) and Department of the Economy Northern Ireland.

Publisher Copyright:
© 2022 IEEE.

Keywords

cohort analysis
sentiment classification
user experience
machine learning
jupyter notebook
Human computer interaction
Sentiment analysis
Codes
Social networking (online)
User centered design
Collaboration

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CHIuXiD57244.2022.10009801

Cite this

Johnston, V., Black, M., Wallace, J. G., Bond, RR., & Mulvenna, M. (2023). Can Sentiment Mining of Novice and Expert User Survey Feedback Enhance the Digital User Experience? In 2022 8th International HCI and UX Conference in Indonesia (CHIuXiD) (pp. 19-24). (Proceedings of 2022 8th International HCI and UX Conference in Indonesia, CHIuXiD 2022). IEEE. Advance online publication. https://doi.org/10.1109/CHIuXiD57244.2022.10009801

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title = "Can Sentiment Mining of Novice and Expert User Survey Feedback Enhance the Digital User Experience?",

abstract = "In recent years, sentiment mining has been used within politics and social media to understand the emotions and opinions that people have about society and different political groups to help bring change. However, in the user centered design process, a main component that helps bring change is the use of user feedback and there has been little research in terms of adopting sentiment mining to assist with this and the user experience of an application. This research paper implements the use of sentiment mining on user survey feedback from Jupyter Notebook and has identified different components of the user experience that caters for novice and expert users independently. Recommendations from this research will help Jupyter Notebook create a user experience that caters to novice and expert users and their workflow needs. This initial analysis has identified that sentiment mining provides important and subtle enhancements for user experience that other tools and techniques do not provide. Therefore, this is a worthwhile method of user experience assessment to foster to enhance a digital user experience.",

keywords = "cohort analysis, sentiment classification, user experience, machine learning, jupyter notebook, Human computer interaction, Sentiment analysis, Codes, Social networking (online), User centered design, Collaboration",

author = "Vivien Johnston and Michaela Black and Wallace, {J. G.} and RR Bond and Maurice Mulvenna",

note = "The authors acknowledge the support of the European Commission on the H2020 project MIDAS (G.A. nr. 727721) and Department of the Economy Northern Ireland. Funding Information: ACKNOWLEDGMENT The authors acknowledge the support of the European Commission on the H2020 project MIDAS (G.A. nr. 727721) and Department of the Economy Northern Ireland. Publisher Copyright: {\textcopyright} 2022 IEEE.; HCI and UX Conference in Indonesia (CHIuXiD), 2022 8th International, CHIuXiD ; Conference date: 19-11-2022 Through 19-11-2022",

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series = "Proceedings of 2022 8th International HCI and UX Conference in Indonesia, CHIuXiD 2022",

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Johnston, V , Black, M , Wallace, JG , Bond, RR & Mulvenna, M 2023, Can Sentiment Mining of Novice and Expert User Survey Feedback Enhance the Digital User Experience? in 2022 8th International HCI and UX Conference in Indonesia (CHIuXiD). Proceedings of 2022 8th International HCI and UX Conference in Indonesia, CHIuXiD 2022, IEEE, pp. 19-24, HCI and UX Conference in Indonesia (CHIuXiD), 2022 8th International, Indonesia, 19/11/22. https://doi.org/10.1109/CHIuXiD57244.2022.10009801

Can Sentiment Mining of Novice and Expert User Survey Feedback Enhance the Digital User Experience? / Johnston, Vivien ; Black, Michaela ; Wallace, J. G. et al.
2022 8th International HCI and UX Conference in Indonesia (CHIuXiD). IEEE, 2023. p. 19-24 (Proceedings of 2022 8th International HCI and UX Conference in Indonesia, CHIuXiD 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review