Wire Your Way: Hardware-Contextualized Guidance and In-situ Tests for Personalized Circuit Prototyping

TL;DR

This work presents a prototyping platform that supports personalized circuit construction and debugging and utilizes an augmented breadboard, which is circuit-aware and supports on-the-fly hardware reconfiguration via contextualized guidance and in-situ circuit validation through interactive tests.

Abstract

The increasing popularity of microcontroller platforms like Arduino enables diverse end-user developers to participate in circuit prototyping. Traditionally, follow-along tutorials serve as an essential learning method for makers, and in fact, several prior toolkits leveraged this format as a way to engage new makers. However, literature and our formative study (N=12) show that makers have unique preferences regarding the construction of their circuits and idiosyncratic ways to assess and debug problems, which contrasts with the step-by-step instructional nature of tutorials and those systems leveraging this method. To address this mismatch, we present a prototyping platform that supports personalized circuit construction and debugging. Our system utilizes an augmented breadboard, which is circuit-aware and supports on-the-fly hardware reconfiguration via contextualized guidance and in-situ circuit validation through interactive tests. Through a usability study (N=12), we demonstrate how makers leverage circuit-aware guidance and debugging to support individual building patterns.

Figures (12)

• Figure 1: Overview of WireWay interface architecture: (A) an augmented breadboard with embedded LED row indicators for physical guidance, (B) a circuit design canvas enabling circuit configuration, visualization, and component selection to highlight on the breadboard highlighting, (C) component selection for conversational context reference, and (D) an AI agent communication interface. Users interact through (E) natural-language text input to query circuit configurations and components. The interface provides (F) mode switching between Ask and Test operations, (G) schematic synchronization to update circuit context, and (H) ad-hoc test management for systematic hardware verification.
• Figure 2: Context-aware component selection workflow for conversational interaction. Users can add circuit components to the AI's conversational context through (A) double-clicking individual components in the circuit design interface, or (B) click-and-drag selection for multiple components. (C) With highlighted components as added context, users can query using natural language and pronoun references. (D) The system parses the contextual component information to provide targeted guidance and responses.
• Figure 3: Two methods for providing in-situ breadboard guidance through an augmented breadboard: (A) Active component highlighting: users click circuit components in the design interface to illuminate corresponding breadboard rows. (B) AI-driven guidance: the conversational agent automatically activates (C) LED indicators and provides interface buttons to repeat the highlighting sequence.
• Figure 4: Interaction flow of WireWay. (A) During Ask Mode: users can select components into context and submit a query. The system responds with eithereither with textual guidance (no physical action required) or suggestions highlightingthat highlight where to modify the circuit (Figure \ref{['fig:test-types']}B). (B) In Test Mode: users can select which components to betested. The system generates test procedures, groups related tests, and may require probe connections (Figure \ref{['fig:test-types']}A). Users can again highlight required I/O pins before running a test sequence. Users can submit results to receive processed feedback or interpretation.After observing component behavior, users submit results, and the system provides basic feedback or interpretation.
• Figure 5: Five types of adaptive tests and suggestions generated by WireWay in Test Mode and Ask Mode. In Test Mode, the system provides three diagnostic test types: (A) Voltage Measurement Test for probing circuit voltages at specific locations, (B) High/Low Voltage Pattern Test for analyzing the circuit response to digital signal behavior over time, and (C) Visual Inspection Test for observing component responses to user interactions. In Ask Mode, the system generates: (D) Connection Suggestion for correcting miswired connections, and (E) Component Suggestion for adding missing circuit elements.