Paper Info
Title
Predicting Contextual Influences On App Usage From A Rational Model Of Time Allocation
Abstract
Mobile devices have proven to be transformative tools that help users perform a variety of everyday tasks. However, they also have tremendous potential to disrupt productive and desired time allocation, facilitating time-squandering through self interruptions of workflow and undesired task switching through distracting apps. Existing research has identified a variety of context variables which help predict the next app selected, but seldom give treatment to the pattern of app usage durations essential to understanding time allocation. Here we take a psychological computing approach to identify the key environmental factors that increase risk of early termination through unwanted switching. Using a task foraging model for time allocation, we construct an integrated measure of the background factors increasing switching temptation, and show that these can be converted into a computable measure of decision context that strongly impacts app duration. The foraging model gives new insight into the structural factors that promote task persistence and predict switch temptations, and suggests new ways to design productive environments.
Year
Venue
Field
2018
2018 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS)
Resource management,Task analysis,Computer science,Time allocation,Task switching,Rational planning model,Context model,Mobile device,Human–computer interaction,Workflow,Distributed computing
DocType
ISSN
Citations 
Conference
2474-2503
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Robert Edge100.34
Dominic Mussack201.01
Matthias Böhmer353328.10
Paul R. Schrater414122.71