Gestalt theory, engagement and interaction

Fraher, Robert; Boyd-Brent, James

doi:10.1145/1753846.1753960

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…These laws mainly describe how visual elements are perceived as grouped based on principles of Proximity, Similarity (color, shape and size), Common fate, Good Continuation and Connectedness. These principles have been widely appreciated in various fields including architecture but also widely used in GUI design and information visualization [13,14,20,37].…”

Section: Visual Design Principlesmentioning

confidence: 99%

Visual Composition of Graphical Elements on Non-Rectangular Displays

Serrano

Roudaut

Irani

2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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Section: Visual Design Principlesmentioning

confidence: 99%

Visual Composition of Graphical Elements on Non-Rectangular Displays

Serrano

Roudaut

Irani

2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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“…These issues are studied in the framework of Gestalt psychology. There are the well-known publications on Gestalt design of human-computer interaction and visualization [47][48][49]. However, their results are not always taken into consideration by system designers.…”

Section: Resultsmentioning

confidence: 99%

Semiotic Analysis of Computer Visualization

Averbukh¹

2017

Interdisciplinary Approaches to Semiotics

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The purpose of this chapter is to discuss the semiotic approach to form theory of computer visualization. Such theory should be the foundation of design, development, and evaluations of visualization systems. The "direct" semiotic analysis of visualization is defined and the scheme of the analysis is considered. This analysis reveals "who is who" in the process of the visualization semiosis and helps in design and development of the real visualization systems. The analysis allows to describe the problems arising at developments of specialized systems in terms of the semiotics and showing how this analysis can serve as a tool for the visualization systems design. It is important to analyze the sign nature of the human-computer interface and the visualization. Such conceptions as computer metaphor, metaphor action, and metaphor formula are defined. The properties of metaphors are analyzed with a view to possible usage of metaphors for specific applications. The properties are considered by the example of the hierarchical sequence of the natural Room-Building-City (Landscape) metaphors. Also the properties of the molecule metaphor are considered in the context of software visualization systems. In conclusion, some approaches to the theory of computer visualization are outlined.

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“…Second, improvements in the visual hierarchy are being made to better accommodate human perception within the UI. Principles such as the Gestalt theory [40], derived from recent research in psychology and biological vision, provide guidelines for visual UI design cues like connectivity, similarity, proximity, and continuity. These principles demonstrated in Fig.…”

Section: Do the Apps Feature Updated Ui Designs?mentioning

confidence: 99%

MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modeling

Feng,

Ma,

Wang

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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The importance of computational modeling of mobile user interfaces (UIs) is undeniable. However, these require a high-quality UI dataset. Existing datasets are often outdated, collected years ago, and are frequently noisy with mismatches in their visual representation. This presents challenges in modeling UI understanding in the wild. This paper introduces a novel approach to automatically mine UI data from Android apps, leveraging Large Language Models (LLMs) to mimic human-like exploration. To ensure dataset quality, we employ the best practices in UI noise filtering and incorporate human annotation as a final validation step. Our results demonstrate the effectiveness of LLMs-enhanced app exploration in mining more meaningful UIs, resulting in a large dataset MUD of 18k human-annotated UIs from 3.3k apps. We highlight the usefulness of MUD in two common UI modeling tasks: element detection and UI retrieval, showcasing its potential to establish a foundation for future research into high-quality, modern UIs. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI).

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Gestalt theory, engagement and interaction

Cited by 6 publications

References 5 publications

Visual Composition of Graphical Elements on Non-Rectangular Displays

Visual Composition of Graphical Elements on Non-Rectangular Displays

Semiotic Analysis of Computer Visualization

MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modeling

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