Grunnleggende konsepter
Enhancing user experience in dataset search platforms through improved design and functionality.
Sammendrag
Investigates User Experience (UX) issues in dataset search platform interfaces, focusing on Google Dataset Search and data.europa.eu.
Evaluation method combines user tasks, think-aloud methods, and questionnaires.
Findings lead to the development of 10 new design prototypes to improve usability.
Recommendations include improvements in initial interaction, search process, dataset exploration, filtering and sorting, dataset actions, and assistance and feedback.
INTRODUCTION
Data-driven sectors rely on diverse datasets but face challenges due to data silos.
Previous studies highlight the importance of metadata in dataset searches.
This research aims to explore user experience in navigating dataset search platforms.
RELATED WORKS
Information seeking behavior models may not fully apply to dataset retrieval.
Different approaches exist for dataset searches like 'basic' and 'user-organized'.
Online dataset accessibility is crucial for usability and findability.
APPROACH
Explore Platform Features
Evaluates features of Google Dataset Search and data.europa.eu for task creation.
Explore User Experience Aspects
Identifies six facets of User Experience: Initial Interaction, Search Process, Dataset Exploration, Filters and Sorting, Dataset Actions, Feedback and Help.
Design User Task
"The Pandemic Puzzle" task designed for understanding user interactions with datasets on COVID-19.
Use of User Study Methods
Concurrent Think-Aloud method used for real-time insights into participant thinking.
Implement Questionnaires
Demographic questionnaires provide insights into participant backgrounds.
Participant Recruitment
Diverse pool of participants recruited from academia and industry.
RESULTS - Google Dataset Search & data.europa.eu
Initial Interaction - Google Dataset Search:
P1: Participants found search features easily accessible but language switch button less noticeable.
N3: Detailed information appeared compressed leading to reading fatigue.
Search Process - Google Dataset Search:
P7: Participants utilized system suggestions effectively.
N16: Participants spent time downloading datasets with missing values.
Dataset Exploration - Google Dataset Search:
P13-P16: Participants focused on titles, update times, descriptions.
N29: Participants initially cared about ranking but later ignored it.
Usage of Filters & Sorting - Google Dataset Search:
P23: Participants understood filters without help.
N50: Some participants ignored filters altogether.
Dataset Actions - Google Dataset Search:
P25: Participants easily found save/share/cite buttons.
N56: Some preferred using browser's share function over platform's options.
Feedback & Help - Google Dataset Search:
P27: Participants found help documentation user-friendly but noted errors in user guide page.
New Prototypes for Dataset Search Platform:
Recommendations include improvements in initial interaction, search process, dataset exploration, filters/sorting, actions, feedback/help.
Statistikk
This section does not contain key metrics or important figures.
Sitater
This section does not contain any striking quotes supporting the author's key logics.