Less Typing, More Tagging: Investigating Tag-based Interfaces in Online Accommodation Review Creation and Perception

When booking accommodations such as hotel rooms or vacation houses online, users heavily rely on the experiences of prior customers through reviews. However, such reviews are often short or lacking important details since most UIs limit users to text-only input, making review creation laborious and time-consuming. The quality of the review can therefore vary, depending on the skill and intrinsic motivation of the reviewer. Instead of relying on these two variables, we explore the effects of a tag enriched UI, both for creating and presenting review information. In the process, we evaluate tags – short descriptive text snippets such as “centrally located” – as additional input components to open text fields and rating scales. These tags aim to trigger users’ memory of details and experiences and support them in creating comprehensive reviews without having to generate long texts. In an initial user study, we asked participants to generate reviews with and without the tag support. In a second user study, they evaluated reviews created with and without tags. Our results show that tags were perceived as helpful in creating reviews and increased the level of detail in the experiences reported. We discuss the implications of review quality, helpfulness, and potential limitations.

Authors

Institutions

Publication Details

Journal
Nordic Conference on Human-Computer Interaction
Published
2024-09-30
DOI
https://doi.org/10.1145/3679318.3685369
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Less Typing, More Tagging: Investigating Tag-based Interfaces in Online Accommodation Review Creation and Perception

Christina Schneegass, Sven Mayer, Teodora Mitrevska
Nordic Conference on Human-Computer Interaction
Digital Marketing and Social Media
article

Less Typing, More Tagging: Investigating Tag-based Interfaces in Online Accommodation Review Creation and Perception

Christina Schneegass, Sven Mayer, Teodora Mitrevska
article en

Abstract

When booking accommodations such as hotel rooms or vacation houses online, users heavily rely on the experiences of prior customers through reviews. However, such reviews are often short or lacking important details since most UIs limit users to text-only input, making review creation laborious and time-consuming. The quality of the review can therefore vary, depending on the skill and intrinsic motivation of the reviewer. Instead of relying on these two variables, we explore the effects of a tag enriched UI, both for creating and presenting review information. In the process, we evaluate tags – short descriptive text snippets such as “centrally located” – as additional input components to open text fields and rating scales. These tags aim to trigger users’ memory of details and experiences and support them in creating comprehensive reviews without having to generate long texts. In an initial user study, we asked participants to generate reviews with and without the tag support. In a second user study, they evaluated reviews created with and without tags. Our results show that tags were perceived as helpful in creating reviews and increased the level of detail in the experiences reported. We discuss the implications of review quality, helpfulness, and potential limitations.

Nordic Conference on Human-Computer Interaction
LMU Klinikum (DE), Ludwig-Maximilians-Universität München (DE), Delft University of Technology (NL)
Openalex Percentile: Top 65%
Digital Marketing and Social Media
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.