AIS Transactions on Human-Computer Interaction
Abstract
User intention plays a key role in digital activity, but its dynamic role within a single activity remains unclear. We report on a mixed-methods study with university students in two countries (United States and South Korea) and identified two distinct forms of intention that emerged from the study: the “starting intention” when beginning an activity, and subsequent “continuing intention” to continue the activity. Predictably, we found that participants’ continuing intention correlated highly with their starting intention, and, in work activities, higher overall intention correlated with productivity. However, unexpected findings also emerged. For example, we found that the relationship between intention and productivity varied by activity type, breaks that started with low intention could evolve into an immersive experience, and work activities that started with low intention could later be regarded as productive. The relationship between intention and immersion also showed complex patterns. For example, in work activities, we found that high intention correlates with not only immersive work but also productive work that occurs with relatively low immersion. These and other findings help to explain digital productivity and recreation and suggest new designs for technologies to support digital wellbeing.
DOI
10.17705/1thci.00249
Recommended Citation
Kim, J.,
&
Toyama, K.
(2026).
Evolving Intention in Digital Activities and Its Relationship to Productivity and Immersion.
AIS Transactions on Human-Computer Interaction, 18(3), 417-447.
https://doi.org/10.17705/1thci.00249
DOI: 10.17705/1thci.00249
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