The sociability score: App-based social profiling from a healthcare perspective

The sociability score: App-based social profiling from a healthcare perspective
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DOI:
10.1016/j.chb.2016.01.024
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发表时间:
2016-06-01
影响因子:
9.9
通讯作者:
Kas, Martien J.
Kas, Martien J.
中科院分区:
心理学1区
文献类型:
--
作者:
Eskes, Paul;Spruit, Marco;Kas, Martien J.

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随着智能手机成为我们生活中不可或缺的一部分,其作为丰富数据源的价值越来越大。之前的几项研究使用智能手机衍生的数据来发现用户特征与不同类型的智能手机使用之间的关系。然而,没有人试图使用智能手机数据将个人的社交行为捕获到一个配置文件中,旨在为社交缺陷的诊断评估提供额外的信息。这项研究提出了一种新的方法,结合不同形式的智能手机数据,使用评分机制,允许轻松添加和删除数据源的社交配置文件的创建。安装智能手机应用程序后,在后台对数据进行采样,以评估自发使用智能手机的情况。社交能力得分是基于从智能手机使用和环境数据采样(例如,GPS和外部蓝牙信号)。最后,我们应用我们的社交模型来创建十个测试对象的社交档案,作为未来研究的基线。这项试点研究提供了对未来智能手机应用程序的个人社交能力评分的可用性的见解,以提供在自然环境中正常和非典型人类社会行为特征的纵向客观测量。(C)2016爱思唯尔有限公司版权所有。
As the smartphone becomes an integral part of our lives, its value as a rich data source reaches an increasing potential. Several previous studies have used smartphone-derived data to discover relationships between user characteristics and different types of smartphone use. However, none tried to use smartphone data to capture an individual's social behavior into one profile, aimed at providing additional information for the diagnostic evaluation of social deficits. This study presents a novel way of combining different modalities of smartphone data for the creation of sociability profiles using a scoring mechanism that allows for easy addition and removal of data sources. Following installation of the smartphone application, data is being sampled in the background to allow for the assessment of spontaneous smartphone use. Sociability scores were based on the integration of social communication and social exploration scores derived from smartphone use and environmental data sampling (e.g., GPS and external Bluetooth signals). Finally, we have applied our Sociability model to create social profiles of ten test subjects as a baseline for future studies. This pilot study provided insight in the usability of the individual sociability scores for future smartphone application to provide longitudinal objective measures of normal and atypical human social behavioral profiles in their natural environment. (C) 2016 Elsevier Ltd. All rights reserved.