![Redefining Clean in Interface Design Redefining Clean in Interface Design, hero image, Alexander Thamm [at]](/fileadmin/_processed_/a/8/csm_redefining-clean-in-interface-design-deep-dive-guckes_8e91c59f63.jpg)
For much of the last decade, “clean interface design” was synonymous with flatness, neutrality, and extreme reduction. Between roughly 2015 and 2021, major technology companies converged on interfaces characterized by minimal color, thin typography, absence of shadows, and aggressive removal of visual cues. While this movement initially brought clarity and scalability, it ultimately revealed serious shortcomings in usability, accessibility, and user experience.
Today, creative minds across the board are redefining what “clean” means in interface design. The same holds true for the designers and data visualization engineers at [at]. The fact that large companies, like Apple, Google, Amazon, and Siemens, have joined this movement, manifests that this research-driven redefinition has already attracted attention of large industry players. Yet the focus of the broader masses still needs to catch up.
Clean is no longer equated with flatness or visual austerity, but with low cognitive load, perceptual clarity, and emotional comfort. This article examines this very redefinition, grounding it in perceptual and cognitive theory and illustrating it through contemporary design systems from these companies (Sweller 1988; Norman 2013; Apple HIG).
First, I want to introduce two examples for flat minimalistic interface design and two examples of interface which follow the new definition of clean.
![Two examples of flat interface design (designed and implemented by Alexander Thamm [at])](/fileadmin/_processed_/3/6/csm_figure-1_32da16b912.png)
![Three examples of interfaces following the redefinition of clean (designed and implemented by Alexander Thamm [at])](/fileadmin/_processed_/2/7/csm_figure-2_3ca764aa02.png)
These examples shall make the contents of the article more accessible for the reader. Further, they shall visually clarify what is meant by flat interface design and by the new, redefined design.
The flat-design wave sought abstraction: removing visual depth, material cues, and decoration to create neutral, efficient interfaces. However, this approach assumed a high degree of user literacy and pattern familiarity. Research in human-computer interaction and cognitive psychology shows that users rely heavily on perceptual cues, such as depth, contrast, and motion, to understand possible actions. When these cues are removed, users must rely on memory, trial-and-error, or learned conventions.
Problems that emerged included:
In essence, interfaces became visually clean but perceptually opaque (Gibson 1979; Sweller 1988; Ware 2013; Norman 2013).
A key concept behind the current shift is perceptual affordance: the idea that users should immediately perceive what actions are possible through visual and sensory cues alone. This builds on foundational work by James J. Gibson and later Don Norman, emphasizing that usability depends not on functionality alone, but on perceived action possibilities (Gibson 1979; Norman 2013; Amazon UX Guidelines).
Foundational theories of perception and cognition articulated in the late 20th century continue to be explicitly confirmed by contemporary UX research and large-scale design systems. Gibson’s theory of affordances (Gibson 1979), which established that action possibilities must be perceptually available to the user, is directly reaffirmed in modern UX literature emphasizing visible, material, and motion-based affordances (Johnson, 2020; Nielsen Norman Group, 2018–2024). Norman’s distinction between actual and perceived affordances (2013) is operationalized today in platform guidelines such as Apple’s Human Interface Guidelines (Apple HIG), which explicitly encode interactivity through depth, translucency, and motion rather than relying on learned conventions. Sweller’s cognitive load theory (Sweller 1988), particularly the concept of extraneous load imposed by poor information presentation, is mirrored in contemporary design guidance warning against minimal interfaces that shift interpretive effort onto users (Yablonski, 2020; WCAG 2.2, 2023). Similarly, Ware’s (2013) work on visual perception and pre-attentive processing finds direct application in modern design systems such as Google’s Material Design 3 and Material 3 Expressive, which reintroduce color, elevation, and motion to restore perceptual hierarchy (Google Material 3). Together, these modern sources do not revise the original theories. Rather, they confirm and institutionalize them under current technological conditions, demonstrating that overly flat and abstracted interfaces increase cognitive load and reduce affordance clarity, while perceptually grounded design improves usability, accessibility, and user confidence at scale.
Depth, shadow, translucency, color, and motion are not decorative by default. When used systematically, they:
Modern “clean” design therefore reintroduces these elements—not as ornament, but as semantic signals (Norman 2013; Ware 2013).
Apple’s Human Interface Guidelines increasingly emphasize material, depth, and spatial hierarchy. Recent design directions (often described as “Liquid Glass”) use translucency, blur, and layered surfaces to separate interface chrome from content without heavy borders or opaque panels.
Key characteristics include:
This approach preserves minimalism while restoring perceptual affordances. Clean, in Apple’s ecosystem, now means calm, spatially intelligible, and perceptually grounded.
Google’s Material Design 3 and Material 3 Expressive represent a parallel but distinct response. Rather than hiding structure, Google makes it explicit through color, shape, and motion, while remaining systematic and accessible.
Key principles include:
Material 3 acknowledges that abstraction without signaling harms usability and instead uses expressive elements to improve recognition and confidence, especially for broad, non-expert audiences.
Amazon does not publish a unified public design language like Apple or Google, but its interfaces consistently reflect the same redefinition of clean design. Amazon prioritizes clarity, trust, and efficiency at enormous scale (Amazon Developer UC Guidelines).
Observable principles include:
Amazon’s design demonstrates that clean interfaces must support decision-making under cognitive load, not merely visual neatness.
The new emerging consensus is: Clean design is not the absence of visual signals, but the absence of unnecessary cognitive effort. Accordingly, a clean interface:
This redefinition represents a maturation of interface design. The insight that extreme abstraction undermines usability, and that perceptual grounding is essential for human-centered systems must spread further.
The shift away from ultra-flat minimalism is not a regression, but an evolution. Apple, Google, Amazon, and Siemens demonstrate that modern clean interfaces can be rich without being noisy, expressive without being chaotic, and minimal without being opaque. Clean design has been redefined from visual emptiness to perceptual clarity.
| Design / UX Claim | Classic Source (Foundational) | Modern Source (Confirmation / Operationalization) |
|---|---|---|
| Users understand possible actions primarily through perception, not instruction | The Ecological Approach to Visual Perception (Gibson, 1979) | Designing with the Mind in Mind (Johnson, 2020); Nielsen Norman Group usability studies (2018–2024) |
| Removing visual cues weakens affordance perception | The Design of Everyday Things (Norman, 2013) | Apple Human Interface Guidelines (2023–2025) encode perceived affordances via depth, motion, translucency |
| Flat or overly abstract interfaces increase reliance on memory and inference | The Magical Number Seven, Plus or Minus Two (Miller, 1956) | Laws of UX (Yablonski, 2020) |
| Poor information structure imposes extraneous cognitive load | Cognitive Load During Problem Solving (Sweller, 1988) | WCAG 2.2 (2023); modern UX guidance emphasizing predictability and clarity |
| Visual hierarchy is processed pre-attentively | Information Visualization: Perception for Design (Ware, 2013) | Google Material Design 3 / Material 3 Expressive (2021–2025) |
| Over-minimalism reduces discoverability and accessibility | Norman (2013); Ware (2013) | Nielsen Norman Group empirical findings (2019–2024); WCAG 2.2 |
| Reintroducing depth, color, and motion improves usability at scale | Gibson (1979); Norman (2013) | Apple HIG (2023–2025); Google Material 3 Expressive (2024–2025) |
| Modern design systems confirm—not replace—classical theory | Gibson; Norman; Sweller; Ware | Apple, Google, and accessibility standards institutionalize these principles |
References
Apple Inc. Human Interface Guidelines (HIG). https://developer.apple.com/design/human-interface-guidelines/
Apple Inc. WWDC Sessions (2024–2025) on visionOS, UI materials, and system design.
Google LLC. Material Design 3. https://m3.material.io/
Google LLC. Material 3 Expressive design documentation and updates.
Amazon Developer Services. UX Design Guidelines. https://developer.amazon.com/
Norman, D. A. (2013). The Design of Everyday Things (Revised and Expanded Edition). Basic Books.
Gibson, J. J. (1979). The Ecological Approach to Visual Perception. Houghton Mifflin.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285.
Ware, C. (2013). Information Visualization: Perception for Design (3rd ed.). Morgan Kaufmann.
Johnson, J. (2020). Designing with the Mind in Mind (2nd ed.). Morgan Kaufmann.
Yablonski, J. (2020). Laws of UX. O’Reilly Media.
Nielsen Norman Group. UX research articles on affordances, flat design, and usability (2018–2024).
World Wide Web Consortium (W3C). (2023). Web Content Accessibility Guidelines (WCAG) 2.2.
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