Is vocabulary limiting human-computer interaction? This research explores the challenges users face when interacting with computer systems that require precise vocabulary. The study examines spontaneous word choice in application-related domains. It reveals a surprisingly high degree of variability in how people choose words. Results indicate that only 20% of people favor the same term, highlighting the limitations of single-word access systems. Simulations demonstrate that this variability significantly hinders vocabulary-driven interaction. The research derives an optimal strategy, called unlimited aliasing, which increases access by taking the variety of terms into account. This offers significant improvements in usability. These findings have important implications for designers of human-system interfaces. By understanding the limitations of current approaches, and by implementing adaptive vocabulary recognition, developers can create more intuitive and user-friendly systems.
Published in Communications of the ACM, this paper aligns with the journal's focus on advancements in computer science and human-computer interaction. By investigating the vocabulary problem in human-system communication, the research addresses a core challenge in user interface design, seeking to improve the effectiveness and usability of computer systems.