Does Who Matter?: Studying the Impact of Relationship Characteristics on Receptivity to Mobile IM Messages

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Pub Date : 2019-05-02 DOI:10.1145/3290605.3300756

Hao-Ping Lee, Kuan-yin Chen, Chih-Heng Lin, Chia-Yu Chen, Yu-Lin Chung, Yung-Ju Chang, Chien-Ru Sun

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引用次数: 33

Abstract

This study examines the characteristics of mobile instant-messaging users' relationships with their social contacts and the effects of both relationship and interruption context on four measures of receptivity: Attentiveness, Responsiveness, Interruptibility, and Opportuneness. Overall, interruption context overshadows relationship characteristics as predictors of all four of these facets of receptivity; this overshadowing was most acute for Interruptibility and Opportuneness, but existed for all factors. In addition, while Mobile Maintenance Expectation and Activity Engagement were negatively correlated with all receptivity measures, each such measure had its own set of predictors, highlighting the conceptual differences among the measures. Finally, delving more deeply into potential relationship effects, we found that a single, simple closeness question was as effective at predicting receptivity as the 12-item Unidimensional Relationship Closeness Scale.

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谁重要吗?:研究关系特征对移动即时消息接受度的影响

本研究考察了移动即时通讯用户与其社会联系人的关系特征，以及关系和中断上下文对四种接受度指标的影响:注意力、响应性、可中断性和机会性。总的来说，中断上下文掩盖了关系特征作为所有这四个方面的可接受性的预测因素;这种遮蔽在可中断性和机会性方面最为明显，但在所有因素中都存在。此外，虽然移动维护期望和活动参与与所有接受度指标呈负相关，但每个此类指标都有自己的一组预测因子，突出了这些指标之间的概念差异。最后，更深入地研究了潜在的关系影响，我们发现一个简单的亲密度问题在预测接受度方面与12项单维亲密度量表一样有效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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