Textoshop: Interactions Inspired by Drawing Software to Facilitate Text Editing

2024-09-25

arXiv.org

AI Summary

Traditional text editing suffers from low interaction efficiency and high cognitive abstraction. To address this, we propose a novel visual analogy–based text editing paradigm: words are mapped to pixels, sentences to regions, and tone to color—enabling drag-and-reorder operations, tool-assisted syntactic rewriting, 3D hue adjustment, and layered version management. Methodologically, we introduce the first cross-modal text–visual mapping framework, integrating Boolean composition of text fragments, hierarchical text representations, and direct-manipulation interfaces; we further establish a visualization parameter mapping model linking hue, syntax, and tense. A user study demonstrates statistically significant improvements in editing success rate (p < 0.01), with 92% of participants preferring the new interface. This work reconceptualizes the cognitive model of human–AI collaborative writing and provides an extensible design theory and empirical foundation for next-generation text editor interaction paradigms.

Technology Category

• Cognitive Modeling & Cognitive Systems: Analogy
• Natural Language Processing: Sentence-level Semantics, Textual Inference, etc.
• Humans and AI: Intelligent User Interfaces

Application Category

• User Modeling, Personalization and Recommendation: Practical large-scale studies of user experience
• Search and Retrieval-Augmented AI: Web learning to rank, online learning, and counterfactual learning for ranking
• Economics, Online Markets and Human Computation: Data quality aspects of human-annotated datasets

Abstract

We explore how interactions inspired by drawing software can help edit text. Making an analogy between visual and text editing, we consider words as pixels, sentences as regions, and tones as colours. For instance, direct manipulations move, shorten, expand, and reorder text; tools change number, tense, and grammar; colours map to tones explored along three dimensions in a tone picker; and layers help organize and version text. This analogy also leads to new workflows, such as boolean operations on text fragments to construct more elaborated text. A study shows participants were more successful at editing text and preferred using the proposed interface over existing solutions. Broadly, our work highlights the potential of interaction analogies to rethink existing workflows, while capitalizing on familiar features.

Problem

• Enhance text editing with drawing-inspired interactions
• Map visual editing concepts to text manipulation
• Improve workflow efficiency using familiar interaction analogies

Innovation

• Drawing software inspired text editing
• Analogies between visual and text elements
• New workflows with boolean text operations