核心概念
Enhancing user experience in dataset search platforms through improved design and functionality.
摘要
- 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.
統計資料
This section does not contain key metrics or important figures.
引述
This section does not contain any striking quotes supporting the author's key logics.