A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the Design of an Effective Mobile Notification System

Author:

Cavdar Seyma Kucukozer1,Taskaya-Temizel Tugba1,Musolesi Mirco2,Tino Peter3

Affiliation:

1. Middle East Technical University, Dumlupinar Bulvari, Ankara, Turkey

2. University College London, Gower Street, London, United Kingdom, The Alan Turing Institute, London, United Kingdom, University of Bologna, Bologna, Italy

3. The University of Birmingham, Birmingham, United Kingdom

Abstract

In this study, we investigate the effects of social context, personal and mobile phone usage on the inference of work engagement/challenge levels of knowledge workers and their responsiveness to well-being related notifications. Our results show that mobile application usage is associated to the responsiveness and work engagement/challenge levels of knowledge workers. We also developed multi-level (within- and between-subjects) models for the inference of attentional states and engagement/challenge levels with mobile application usage indicators as inputs, such as the number of applications used prior to notifications, the number of switches between applications, and application category usage. The results of our analysis show that the following features are effective for the inference of attentional states and engagement/challenge levels: the number of switches between mobile applications in the last 45 minutes and the duration of application usage in the last 5 minutes before users' response to ESM messages.

Funder

Tubitak BIDEB-2219

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

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