2017/11/28 by Abhinav Mehrotra, Mirco Musolesi, Mehrotra, Abhinav +1 · 1 citation
Decision Sciences · Computer Science · Psychology · #Personal Information Management and User Behavior #Opportunistic and Delay-Tolerant Networks #Cognitive Functions and Memory
paper · pdf · doi:10.48550/arxiv.1711.10171
Notifications provide a unique mechanism for increasing the effectiveness of\nreal-time information delivery systems. However, notifications that demand\nusers' attention at inopportune moments are more likely to have adverse effects\nand might become a cause of potential disruption rather than proving beneficial\nto users. In order to address these challenges a variety of intelligent\nnotification mechanisms based on monitoring and learning users' behavior have\nbeen proposed. The goal of such mechanisms is maximizing users' receptivity to\nthe delivered information by automatically inferring the right time and the\nright context for sending a certain type of information.\n This article provides an overview of the current state of the art in the area\nof intelligent notification mechanisms that relies on the awareness of users'\ncontext and preferences. More specifically, we first present a survey of\nstudies focusing on understanding and modeling users' interruptibility and\nreceptivity to notifications from desktops and mobile devices. Then, we discuss\nthe existing challenges and opportunities in developing mechanisms for\nintelligent notification systems in a variety of application scenarios.\n