Department of Computer Architecture and Technology, CITIC-UGR Research Center, University of Granada, E18071 Granada, Spain.
Mind, Brain & Behavior Research Center, University of Granada, E18071 Granada, Spain.
Sensors (Basel). 2019 Aug 5;19(15):3430. doi: 10.3390/s19153430.
The identification of daily life events that trigger significant changes on our affective state has become a fundamental task in emotional research. To achieve it, the affective states must be assessed in real-time, along with situational information that could contextualize the affective data acquired. However, the objective monitoring of the affective states and the context is still in an early stage. Mobile technologies can help to achieve this task providing immediate and objective data of the users' context and facilitating the assessment of their affective states. Previous works have developed mobile apps for monitoring affective states and context, but they use a fixed methodology which does not allow for making changes based on the progress of the study. This work presents a multimodal platform which leverages the potential of the smartphone sensors and the Experience Sampling Methods (ESM) to provide a continuous monitoring of the affective states and the context in an ubiquitous way. The platform integrates several elements aimed to expedite the real-time management of the ESM questionnaires. In order to show the potential of the platform, and evaluate its usability and its suitability for real-time assessment of affective states, a pilot study has been conducted. The results demonstrate an excellent usability level and a good acceptance from the users and the specialists that conducted the study, and lead to some suggestions for improving the data quality of mobile context-aware ESM-based systems.
确定日常生活事件,这些事件会对我们的情绪状态产生重大影响,这已经成为情感研究中的一项基本任务。为了实现这一目标,必须实时评估情绪状态,并结合可能使获取的情绪数据背景化的情境信息。然而,情绪状态和情境的客观监测仍处于早期阶段。移动技术可以帮助完成这项任务,为用户的情境提供即时和客观的数据,并促进对其情绪状态的评估。先前的工作已经开发了用于监测情绪状态和情境的移动应用程序,但它们使用固定的方法,不允许根据研究的进展进行更改。这项工作提出了一个多模态平台,利用智能手机传感器和体验采样方法(ESM)的潜力,以无处不在的方式提供对情绪状态和情境的连续监测。该平台集成了旨在加快 ESM 问卷实时管理的几个元素。为了展示平台的潜力,并评估其可用性和适用于实时评估情绪状态,进行了一项试点研究。研究结果表明,该平台具有出色的可用性水平,并且得到了参与研究的用户和专家的良好认可,并提出了一些改进基于移动情境感知 ESM 系统的数据质量的建议。