As interactive systems become more complex, designers need ways to describe and compare interactions beyond individual features or interfaces. One approach that appears repeatedly in HCI research is the use of taxonomies: structured ways of classifying interactions, systems and design choices. Rather than founding direct solutions, taxonomies help clarify what kind of interaction is taking place and under which conditions.
In the context of interruptions and flow, taxonomies are useful because interruptions are not all the same. A notification on a phone, a system alert in a cockpit or a haptic warning in a wearable device may all interrupt attention, but they do so through different interaction channels and with different consequences.
Early taxonomies of human–system interaction
Agah and Tanie propose one of the early comprehensive taxonomies for research on human interactions with intelligent systems. Their framework classifies interaction research along several dimensions: application domain, research approach, system autonomy, interaction distance and interaction media.1
What is important here is not the specific categories themselves, but the idea that interaction can be analyzed across multiple layers at the same time. For example, an interaction can be local or remote, involve visual or auditory feedback also operate with varying degrees of system autonomy. This already suggests that interruptions should not be treated as a single design problem, but as events shaped by media or system behavior.
Agah later expands this work into a broader research taxonomy that includes human-computer, human-machine and human-robot interactions.2
The taxonomy emphasizes that intelligent systems increasingly share space and tasks with humans, rather than operating in isolation. From an interaction design perspective, this is a key shift: interruptions now happen inside shared environments not just between a user and a screen.
Interaction media and attention
One part of Agah’s taxonomy that is especially relevant to interruption design is interactionmedia. Interaction can happen through visual displays, audio signals, tactile feedback, body movements, voice or combinations of these. Each medium places different demands on attention.2
For example, visual interruptions often require users to shift gaze and visual focus, while auditory interruptions can break concentration even when the user is not looking at a device. Tactile feedback may be less intrusive in some contexts but can still disrupt fine motor tasks. Taxonomies help make these differences explicit instead of treating all notifications as equivalent.
This becomes important when thinking about flow. Flow relies on sustained attention and smooth interaction. An interruption that forces a modality switch (for example, from visual focus to auditory alert) may break flow more strongly than one that stays within the same modality.
From system-centered to human-centered taxonomies
While early taxonomies often focused on systems, devices or tasks, Augstein and Neumayr argue for a human-centered taxonomy of interaction modalities. Their framework classifies interaction based on what humans can actively sense and produce, rather than on specific technologies or devices.3
This shift matters for interaction design because technologies change quickly, but human perceptual capabilities change slowly. By grounding classification in human senses and actions, the taxonomy remains useful even as devices evolve. For interruption design, this suggests that the critical question is not “what device delivers the interruption,” but “how the interruption is perceived by the human.”
Augstein and Neumayr also highlight that many existing taxonomies reduce interaction to a narrow set of modalities; typically vision, audition and touch.3
In practice, however, interactions often combine modalities or rely on subtle perceptual hints. Ignoring this complexity can lead to blunt design decisions, such as defaulting to visual notifications in contexts where visual attention is already overloaded.
Taxonomies as design tools, not checklists
Across these papers, taxonomies are not presented as rigid classification systems but as thinking tools. They help designers and researchers ask better questions: What kind of interaction is this? Through which sensory system does it operate? How autonomous is the system? How close is it to the user?
In the context of interruptions, this means moving away from treating notifications as a single UX pattern. Instead, interruptions can be understood as events that vary along multiple dimensions, each with different effects on attention, flow and recovery.
This perspective supports a more nuanced approach to interaction design. Rather than optimizing interruption frequency or timing in isolation, we as designers can reason about how different interaction modalities and system characteristics shape the interruption experience as a whole.
Positioning within the research trajectory
Within this research project, taxonomies provide a structural bridge between research findings on interruptions and later design strategies for recovery and flow. They offer a shared language for describing interaction complexity without reducing it to simple metrics.
By combining early system-oriented taxonomies with more recent human-centered approaches, interaction design can better account for how interruptions are perceived, processed and integrated into everyday interaction.
References (APA 7)
- Agah, A., & Tanie, K. (1999). Taxonomy of research on human interactions with intelligent systems. IEEE.
- Agah, A. (2000). Human interactions with intelligent systems: Research taxonomy. Computers & Electrical Engineering, 27(1), 71–107.
- Augstein, M., & Neumayr, T. (2019). A human-centered taxonomy of interaction modalities and devices. Interacting with Computers, 31(5), 451–476. https://doi.org/10.1093/iwc/iwz003
AI Assistance Disclaimer:
AI tools were used at certain stages of the research process, primarily for source exploration, grammar refinement and structural editing. All conceptual development, analysis and final writing were made by the author.