Android API用于智能手机数据驱动分析的系统调查
A Systematic Survey on Android API Usage for Data-Driven Analytics with Smartphones
摘要：
最近的工业和学术研究集中在智能手机的数据驱动分析，通过应用程序编程接口（API）和传感器收集用户交互，上下文和设备系统数据。Android OS提供各种API来为第三方开发人员收集此类移动使用和传感器数据。使用统计API（US API）和可访问性服务API（AS API）是用于收集应用使用数据的代表性Android API，并且用于各种研究目的，因为它们可以收集细粒度的交互数据（例如，应用使用历史、用户交互类型）。此外，其他传感器API有助于收集用户的上下文和设备状态数据，以及AS/US API。本文通过对研究目的和数据类型的分类，研究了使用AS/US API的移动使用和传感器数据驱动的研究。本文将被调查的研究分为五个主题和21个子主题，并采用四层的层次数据分类结构。这使我们能够识别数据使用趋势，并根据研究目的深入了解数据汇集。讨论了移动使用和传感器数据驱动分析研究的几个局限性和未来的研究方向，包括Android API版本变化对研究的影响，隐私和数据质量问题，以及标准化数据类型的可重复性风险的缓解。
英文摘要：
Recent industrial and academic research has focused on data-driven analytics with smartphones by collecting user interaction, context, and device systems data through Application Programming interfaces (APIs) and sensors. The Android OS provides various APIs to collect such mobile usage and sensor data for third-party developers. Usage Statistics API (US API) and Accessibility Service API (AS API) are representative Android APIs for collecting app usage data and are used for various research purposes as they can collect fine-grained interaction data (e.g., app usage history, user interaction type). Furthermore, other sensor APIs help to collect a user's context and device state data, along with AS/US APIs. This review investigates mobile usage and sensor data-driven research using AS/US APIs, by categorizing the research purposes and the data types. In this paper, the surveyed studies are classified as follows: five themes and 21 subthemes, and a four-layer hierarchical data classification structure. This allows us to identify a data usage trend and derive insight into data collection according to research purposes. Several limitations and future research directions of mobile usage and sensor data-driven analytics research are discussed, including the impact of changes in the Android API versions on research, the privacy and data quality issues, and the mitigation of reproducibility risks with standardized data typology.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
