Predicting Contextual Influences on App Usage from a Rational Model of Time Allocation
| Autor: | Robert Edge, Dominic Mussack, Paul Schrater, Matthias Bohmer |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Context model
Task switching Computer science 05 social sciences Time allocation 050301 education 050801 communication & media studies Rational planning model Variety (cybernetics) Task (project management) 0508 media and communications Workflow Human–computer interaction Task analysis 0503 education |
| Zdroj: | PerCom Workshops |
| DOI: | 10.1109/percomw.2018.8480308 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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