Embracing emojis: prototyping mood enhanced information systems for fiction readers

Purpose This study aims to understand fiction readers’ perspectives on the strengths and concerns of incorporating emojis into information systems for fiction. To solicit readers’ feedback, the authors adopted Cho et al .’s (2023) model of three families of fiction mood categories as the theoretical framework. Based on this framework, prototypes of interface designs that implemented textual mood descriptors and/or emojis were developed. Design/methodology/approach Eighteen adult fiction readers at a US public university were recruited for online interviews. The participants shared their insights into the prototypes and their fiction search and review experiences. Findings Most participants preferred designs that support both mood terms and emojis. The findings highlighted the potential of emojis to improve metadata inclusivity and serve diverse users’ needs. Technical challenges and accessibility issues for blind or visually impaired users were noted as limitations of emoji implementation. Originality/value Based on established theoretical frameworks and emoji mappings for mood categories, this study advances the progress of implementing emojis into information systems for fiction. The findings will inform user-centered interface designs that support the description, search and review of fiction.

Authors

Institutions

Publication Details

Journal
Journal of Documentation
Published
2024-12-20
DOI
https://doi.org/10.1108/jd-05-2024-0100
Primary Topic
Digital Communication and Language
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Embracing emojis: prototyping mood enhanced information systems for fiction readers

Wan‐Chen Lee, Li-Min Huang, Juliana Hirt
Journal of Documentation
Digital Communication and Language
article

Embracing emojis: prototyping mood enhanced information systems for fiction readers

Wan‐Chen Lee, Li-Min Huang, Juliana Hirt
article en

Abstract

Purpose This study aims to understand fiction readers’ perspectives on the strengths and concerns of incorporating emojis into information systems for fiction. To solicit readers’ feedback, the authors adopted Cho et al .’s (2023) model of three families of fiction mood categories as the theoretical framework. Based on this framework, prototypes of interface designs that implemented textual mood descriptors and/or emojis were developed. Design/methodology/approach Eighteen adult fiction readers at a US public university were recruited for online interviews. The participants shared their insights into the prototypes and their fiction search and review experiences. Findings Most participants preferred designs that support both mood terms and emojis. The findings highlighted the potential of emojis to improve metadata inclusivity and serve diverse users’ needs. Technical challenges and accessibility issues for blind or visually impaired users were noted as limitations of emoji implementation. Originality/value Based on established theoretical frameworks and emoji mappings for mood categories, this study advances the progress of implementing emojis into information systems for fiction. The findings will inform user-centered interface designs that support the description, search and review of fiction.

Journal of DocumentationVol. 81(2)
National Taiwan University (TW), University of Wisconsin–Milwaukee (US)
Openalex Percentile: Top 76%
Digital Communication and Language
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.