Flight_Booking_App_Screen_Recording_Dataset

# Flight Booking App Screen Recording Dataset
*This dataset contains high-quality screen recordings of user interactions on flight booking applications. It has been carefully curated, cleaned, and anonymized to ensure accuracy, completeness, and compliance with privacy standards, making it suitable for AI training, UX research, and user behavior analysis.*

## Contact
For queries or collaborations related to this dataset, contact:
- [e-mail]
- [e-mail]

## Supported Tasks

- **Task Categories**:
- Video Classification
- Video-to-Text Generation

- **Supported Tasks**:
- Automatic captioning of flight booking workflows
- User journey segmentation (search → select → checkout → ticket confirmation)
- Action recognition (e.g., origin/destination selection, date picking, seat selection, payment)
- UX pattern analysis for flight booking apps
- Behavioral modeling for personalized travel recommendations
- Multimodal research in travel-tech applications

## Languages

- **Primary Language**: English (UI, flight listings, and user interactions)

## Dataset Creation

### Curation Rationale
This dataset was created to advance AI research in travel applications and flight booking workflows. It enables models to understand step-by-step booking journeys, user decision-making, and preferences for better UX design and intelligent recommendation systems.

### Source Data
- **Contributors**: Simulated user sessions on flight booking apps
- **Collection Process**: Screen recordings of diverse user activities including searching flights, applying filters, selecting flights and seats, completing payment, and receiving confirmation. All personally identifiable information (PII) is anonymized or removed.

### Other Known Limitations
- **Size**: Dataset may not cover all edge cases (e.g., cancellations, refunds, customer service interactions)
- **Bias**: Recorded sessions may overrepresent certain routes, airlines, or traveler types
- **Platform-Specificity**: May not generalize across all flight booking apps or regional platforms

## Intended Uses

### ✅ Direct Use
- Training AI models for action recognition in flight booking workflows
- Research in human-computer interaction (HCI) and usability testing
- Automatic summarization of booking journeys
- Academic research in travel-tech UX and behavioral AI

### ❌ Out-of-Scope Use
- Tracking or surveillance of real users without explicit consent
- Commercial exploitation without attribution or ethical clearance
- Extraction of sensitive payment or personal information
- Real-time monitoring or decision-making without human oversight

## License

CC BY 4.0

# 航班预订应用屏幕录制数据集
本数据集收录了航班预订应用上用户交互行为的高质量屏幕录制视频。本数据集经过严格筛选、清洗与匿名化处理，确保数据的准确性、完整性，并符合隐私合规标准，适用于人工智能训练、用户体验（User Experience, UX）研究与用户行为分析。

## 联系方式
若对本数据集有疑问或合作意向，请联系：
- [e-mail]
- [e-mail]

## 支持任务
### 任务类别
- 视频分类
- 视频转文本生成
### 支持任务
- 航班预订流程自动字幕生成
- 用户旅程分段（搜索→选择→结账→机票确认）
- 动作识别（例如：出发地/目的地选择、日期选择、座位选择、支付操作）
- 航班预订应用用户体验模式分析
- 个性化旅行推荐行为建模
- 旅行科技应用中的多模态研究

## 语言
**主要语言**：英语（界面、航班列表与用户交互文本均为英语）

## 数据集构建
### 遴选依据
本数据集旨在推动旅行应用与航班预订流程相关的人工智能研究，使模型能够理解完整的预订旅程、用户决策逻辑与偏好，从而优化用户体验设计与智能推荐系统。
### 源数据
- **贡献方**：航班预订应用上的模拟用户会话
- **采集流程**：涵盖航班搜索、应用筛选条件、选择航班与座位、完成支付以及接收确认等多样化用户活动的屏幕录制视频。所有个人可识别信息（Personally Identifiable Information, PII）均已完成匿名化或移除处理。
### 其他已知局限性
- **规模限制**：本数据集未覆盖所有边缘场景（例如取消订单、退款、客服交互等）
- **偏差问题**：录制的会话可能过度代表特定航线、航空公司或旅客类型
- **平台局限性**：可能无法适配所有航班预订应用或区域性平台

## 预期使用场景
### ✅ 直接使用场景
- 训练航班预订流程中的动作识别人工智能模型
- 人机交互（Human-Computer Interaction, HCI）与可用性测试相关研究
- 预订旅程自动摘要生成
- 旅行科技用户体验与行为人工智能领域的学术研究
### ❌ 超出范围的使用场景
- 未经明确同意对真实用户进行追踪或监控
- 未获得授权或伦理许可的商业开发利用
- 提取敏感支付或个人信息
- 无人工监督的实时监控或决策行为

## 许可证
CC BY 4.0