Pssst...or Boo! Assessing the Predictability of Notification DeliveryPreferences.

Notification;Interruption;Computer Science;Engineering;Computer Science & Engineering

Weber, Julie SageNewman, Mark W. ;

University of Michigan

关键词: Notification;    Interruption;    Computer Science;    Engineering;    Computer Science & Engineering;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/78809/weberjs_1.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

The focus of my dissertation research is on the examination of notification systems that harness different presentation formats for notification delivery, the preferences that individuals express for these various types of notifications, and how these preferences are affected by contextual information surrounding notification delivery. My research is unique from other work in the literature in two primary ways. First, while the majority of prior work addressing notification delivery, both in terms of format and timing, has focused on the effects of a notification on an individual’s performance on a given task or set of tasks, my focus is the individual’s perception of notifications, and particularly on that individual’s preferences for different notification formats delivered within different contextual scenarios. An interest in this question is motivated by prior studies that have shown that annoyance with computer-human interactions is a primary reason behind user abandonment of interactive software systems. Second, my preliminary findings suggest that different people prefer different types of notifications in different contexts, which motivates a change of focus in the development of such systems toward customizing notifications not only to the features of an individual’s context but also to the individual him- or herself. An additional element of novelty in my work is that my final study was conducted in a purely naturalistic office environment, in which the notifications evaluated were precisely those notifications being delivered to study participants throughout their workday. The primary contribution of this dissertation is twofold: a detailed analysis of the methodology for the design, data collection, and analysis of a study of notification preferences in a naturalistic setting with a great deal of inherent complexity; and a set of results, based on the analysis of preference data acquired in various settings, about how an individual’s contextual environment, and the content of a given notification, can affect that individual’s preferences for notification delivery.