Designing the User Experience to achieve better engagement and Feedback on TikTok Accounts

L Bouillon, D Schouten, Fabio Campos

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


In this research, we explored how different variables influence the user experience in the TikTok social media channel. The engagement of the users in giving meaningful feedback to the posts was the main variable being observed. This is important because in several business-to-business and business-to-consumer applications the companies are interested in using meaningful feedback from the users to improve their products, be it a tangible device or a media product. So, instead of focusing on getting more followers, in situations like that, it is more important the kind of feedback received from the users. In this research, a mixed methods approach was applied. Joining the quantitative results with the insights from the qualitative part of the research, it is possible to conclude that the algorithm used by TikTok to define the content in the timelines has a bigger influence on engagement than the kind of content. To achieve the desired result of an increase in the number and quality of feedback by the viewers, it was found that being more direct can produce interesting increases. The posts where the viewers were asked to comment and reply with a certain answer have the most comments. In some instances, the increase is almost 300% more when comparing it to the average amount of comments. Most interviewees also stated that they would love to help out and would provide meaningful feedback if this was directly asked. The same goes for Q&A’s and interaction-based posts.

Original languageEnglish
Title of host publicationDesign, User Experience, and Usability - 12th International Conference, DUXU 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
EditorsA Marcus, E Rosenzweig, M Soares
Place of PublicationSwitzerland
Number of pages13
ISBN (Electronic)978-3-031-35699-5
ISBN (Print)978-3-031-35698-8
Publication statusPublished - 2023
Event12th International Conference DUXU 2023 - Copenhagen, Denmark
Duration: 23 Jul 202328 Jul 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14030 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Conference DUXU 2023


  • Meaningful feeback
  • Social media Ux
  • TikTok user experience


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