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Is It the End? Guidelines for Cinematic Endings in Data Videos

  • Xian XU
  • , Aoyu WU
  • , Leni YANG
  • , Zheng WEI
  • , Rong HUANG
  • , David YIP*
  • , Huamin QU*
  • *Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

Abstract

Data videos are becoming increasingly popular in society and academia. Yet little is known about how to create endings that strengthen a lasting impression and persuasion. To fulfill the gap, this work aims to develop guidelines for data video endings by drawing inspiration from cinematic arts. To contextualize cinematic endings in data videos, 111 film endings and 105 data video endings are first analyzed to identify four common styles using the framework of ending punctuation marks. We conducted expert interviews (N=11) and formulated 20 guidelines for creating cinematic endings in data videos. To validate our guidelines, we conducted a user study where 24 participants were invited to design endings with and without our guidelines, which are evaluated by experts and the general public. The participants praise the clarity and usability of the guidelines, and results show that the endings with guidelines are perceived to be more understandable, impressive, and reflective.
Original languageEnglish
Title of host publicationCHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery, Inc
Number of pages16
ISBN (Electronic)9781450394215
DOIs
Publication statusPublished - 19 Apr 2023
Externally publishedYes
Event2023 CHI Conference on Human Factors in Computing Systems - , Germany
Duration: 23 Apr 202328 Apr 2023

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2023 CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2023
Country/TerritoryGermany
Period23/04/2328/04/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Funding

This research was supported in part by Hong Kong Theme-based Research Scheme T41-709/17N.

Keywords

  • Data Video
  • Guideline
  • Interview
  • Lab Study
  • Storytelling
  • Visualization

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