Understanding the Impact of Spatial Immersion in Web Data Stories

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Kim, Seon Gyeom, Park, Juhyeong, Song, Yutaek, Lee, Donggun, Lee, Yubin, Rossi, Ryan, Hoffswell, Jane, Koh, Eunyee, Lee, Tak Yeon
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866908289445396480
author Kim, Seon Gyeom
Park, Juhyeong
Song, Yutaek
Lee, Donggun
Lee, Yubin
Rossi, Ryan
Hoffswell, Jane
Koh, Eunyee
Lee, Tak Yeon
author_facet Kim, Seon Gyeom
Park, Juhyeong
Song, Yutaek
Lee, Donggun
Lee, Yubin
Rossi, Ryan
Hoffswell, Jane
Koh, Eunyee
Lee, Tak Yeon
contents An increasing number of web articles engage the reader with the feeling of being immersed in the data space. However, the exact characteristics of spatial immersion in the context of visual storytelling remain vague. For example, what are the common design patterns of data stories with spatial immersion? How do they affect the reader's experience? To gain a deeper understanding of the subject, we collected 23 distinct data stories with spatial immersion, and identified six design patterns, such as cinematic camera shots and transitions, intuitive data representations, realism, naturally moving elements, direct manipulation of camera or visualization, and dynamic dimension. Subsequently, we designed four data stories and conducted a crowdsourced user study comparing three design variations (static, animated, and immersive). Our results suggest that data stories with the design patterns for spatial immersion are more interesting and persuasive than static or animated ones, but no single condition was deemed more understandable or trustworthy.
format Preprint
id arxiv_https___arxiv_org_abs_2411_18049
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Understanding the Impact of Spatial Immersion in Web Data Stories
Kim, Seon Gyeom
Park, Juhyeong
Song, Yutaek
Lee, Donggun
Lee, Yubin
Rossi, Ryan
Hoffswell, Jane
Koh, Eunyee
Lee, Tak Yeon
Human-Computer Interaction
An increasing number of web articles engage the reader with the feeling of being immersed in the data space. However, the exact characteristics of spatial immersion in the context of visual storytelling remain vague. For example, what are the common design patterns of data stories with spatial immersion? How do they affect the reader's experience? To gain a deeper understanding of the subject, we collected 23 distinct data stories with spatial immersion, and identified six design patterns, such as cinematic camera shots and transitions, intuitive data representations, realism, naturally moving elements, direct manipulation of camera or visualization, and dynamic dimension. Subsequently, we designed four data stories and conducted a crowdsourced user study comparing three design variations (static, animated, and immersive). Our results suggest that data stories with the design patterns for spatial immersion are more interesting and persuasive than static or animated ones, but no single condition was deemed more understandable or trustworthy.
title Understanding the Impact of Spatial Immersion in Web Data Stories
topic Human-Computer Interaction
url https://arxiv.org/abs/2411.18049