让用户通过游戏猜老照片年代，提升历史感知力。
Guess the Age of Photos: An Interactive Web Platform for Historical Image Age Estimation
- 设计两种游戏模式：猜年份和时间线挑战，增强互动性。
- 用户相对判断准确率达65.9%，绝对年份猜测仅25.6%。
- 适合历史教育、视觉认知研究及图像年代标注数据收集。
本文介绍了一个名为Guess the Age of Photos的网页平台，通过两种游戏化模式——猜年份（预测单张照片年份）和时间线挑战（比较两张图片判断哪个更早）——引导用户参与历史照片年代估计。平台基于Python、Flask、Bootstrap和PostgreSQL构建，使用了10,150张来自Date Estimation in the Wild数据集（1930–1999年）的子集。动态评分与排行榜机制显著提升了用户参与度。在113名用户、15,473次游戏的评估中，平台获得4.25/5的满意度评分。用户在相对比较任务中表现更佳（准确率65.9%），而绝对年份预测准确率仅为25.6%，且越晚的年代越易识别。该平台不仅作为历史教育工具促进视觉遗产的探索，还为研究人类对图像时间线索的感知提供了资源，并可用于生成计算机视觉模型训练与评估所需的标注数据。
原文摘要 · Abstract (English)
This paper introduces Guess the Age of Photos, a web platform engaging users in estimating the years of historical photographs through two gamified modes: Guess the Year (predicting a single image's year) and Timeline Challenge (comparing two images to identify the older). Built with Python, Flask, Bootstrap, and PostgreSQL, it uses a 10,150-image subset of the Date Estimation in the Wild dataset (1930-1999). Features like dynamic scoring and leaderboards boost engagement. Evaluated with 113 users and 15,473 gameplays, the platform earned a 4.25/5 satisfaction rating. Users excelled in relative comparisons (65.9% accuracy) over absolute year guesses (25.6% accuracy), with older decades easier to identify. The platform serves as an educational tool, fostering historical awareness and analytical skills via interactive exploration of visual heritage. Furthermore, the platform provides a valuable resource for studying human perception of temporal cues in images and could be used to generate annotated data for training and evaluating computer vision models.
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