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PHASE_2_3_IMPLEMENTATION_SUMMARY.md
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PHASE_2_3_IMPLEMENTATION_SUMMARY.md
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# Phase 2.3: Sensory Characteristics Detection - Implementation Summary
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**Date:** 2025-10-02
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**Status:** ✅ COMPLETE
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**Coverage Increase:** +1% (89% → 90%)
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---
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## Overview
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Phase 2.3 implements pattern-based detection of instructions that rely solely on sensory characteristics (color, shape, size, visual location, orientation, or sound), addressing WCAG 1.3.3 requirements.
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---
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## Implementation Details
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### Technology Stack
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- **Pattern Matching:** Regular expressions
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- **Text Analysis:** DOM text content extraction
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- **Classification:** Severity-based violation/warning system
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### Daemon Method: `detectSensoryCharacteristics()`
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**Location:** `daemon/daemon.go` lines 10202-10321
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**Signature:**
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```go
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func (d *Daemon) detectSensoryCharacteristics(tabID string, timeout int) (*SensoryCharacteristicsResult, error)
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```
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**Process Flow:**
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1. Define sensory characteristic patterns (8 regex patterns)
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2. Extract all text elements from the page
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3. For each text element:
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- Match against all patterns
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- Record matched patterns
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- Classify severity (violation vs warning)
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- Generate recommendations
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4. Return comprehensive results
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**Key Features:**
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- 8 sensory characteristic patterns
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- Severity classification (critical vs warning)
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- Pattern match counting
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- Actionable recommendations
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### Sensory Characteristic Patterns
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**1. Color-Only Instructions**
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- **Pattern:** `(?i)\b(red|green|blue|yellow|orange|purple|pink|black|white|gray|grey)\s+(button|link|icon|text|box|area|section|field|item)`
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- **Examples:** "red button", "green link", "blue icon"
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- **Severity:** Violation (critical)
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**2. Shape-Only Instructions**
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- **Pattern:** `(?i)\b(round|square|circular|rectangular|triangle|diamond|star)\s+(button|link|icon|box|area|section|item)`
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- **Examples:** "round button", "square icon", "circular area"
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- **Severity:** Violation (critical)
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**3. Size-Only Instructions**
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- **Pattern:** `(?i)\b(large|small|big|tiny|huge)\s+(button|link|icon|text|box|area|section|field|item)`
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- **Examples:** "large button", "small text", "big box"
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- **Severity:** Warning
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**4. Location-Visual Instructions**
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- **Pattern:** `(?i)\b(above|below|left|right|top|bottom|beside|next to|under|over)\s+(the|this)`
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- **Examples:** "above the", "below this", "to the right"
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- **Severity:** Warning
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**5. Location-Specific Instructions**
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- **Pattern:** `(?i)\b(click|tap|press|select)\s+(above|below|left|right|top|bottom)`
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- **Examples:** "click above", "tap below", "press right"
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- **Severity:** Warning
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**6. Sound-Only Instructions**
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- **Pattern:** `(?i)\b(hear|listen|sound|beep|tone|chime|ring)\b`
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- **Examples:** "hear the beep", "listen for", "when you hear"
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- **Severity:** Violation (critical)
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**7. Click-Color Instructions**
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- **Pattern:** `(?i)\bclick\s+(the\s+)?(red|green|blue|yellow|orange|purple|pink|black|white|gray|grey)`
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- **Examples:** "click the red", "click green", "click blue button"
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- **Severity:** Violation (critical)
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**8. See-Shape Instructions**
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- **Pattern:** `(?i)\bsee\s+(the\s+)?(round|square|circular|rectangular|triangle|diamond|star)`
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- **Examples:** "see the round", "see square icon"
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- **Severity:** Violation (critical)
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### Data Structures
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**SensoryCharacteristicsResult:**
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```go
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type SensoryCharacteristicsResult struct {
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TotalElements int `json:"total_elements"`
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ElementsWithIssues int `json:"elements_with_issues"`
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Violations int `json:"violations"`
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Warnings int `json:"warnings"`
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Elements []SensoryCharacteristicsElement `json:"elements"`
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PatternMatches map[string]int `json:"pattern_matches"`
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}
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```
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**SensoryCharacteristicsElement:**
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```go
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type SensoryCharacteristicsElement struct {
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TagName string `json:"tag_name"`
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Text string `json:"text"`
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MatchedPatterns []string `json:"matched_patterns"`
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Severity string `json:"severity"` // "violation", "warning"
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Recommendation string `json:"recommendation"`
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}
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```
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### Severity Classification
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**Violations (Critical):**
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- `color_only` - Instructions relying solely on color
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- `shape_only` - Instructions relying solely on shape
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- `sound_only` - Instructions relying solely on sound
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- `click_color` - Click instructions with only color reference
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- `see_shape` - Visual instructions with only shape reference
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**Warnings:**
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- `size_only` - Instructions relying on size
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- `location_visual` - Instructions using visual location
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- `location_specific` - Action instructions with location
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### Text Element Filtering
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**Included Elements:**
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- `p`, `span`, `div`, `label`, `button`, `a`, `li`, `td`, `th`, `h1`, `h2`, `h3`, `h4`, `h5`, `h6`
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**Filtering Criteria:**
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- Text length: 10-500 characters (reasonable instruction length)
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- Visible elements only
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- Trimmed whitespace
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---
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## Client Method
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**Location:** `client/client.go` lines 3861-3899
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**Signature:**
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```go
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func (c *Client) DetectSensoryCharacteristics(tabID string, timeout int) (*SensoryCharacteristicsResult, error)
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```
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**Usage:**
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```go
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result, err := client.DetectSensoryCharacteristics("", 10)
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if err != nil {
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log.Fatal(err)
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}
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fmt.Printf("Total Elements: %d\n", result.TotalElements)
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fmt.Printf("Violations: %d\n", result.Violations)
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fmt.Printf("Warnings: %d\n", result.Warnings)
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```
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---
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## MCP Tool
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**Tool Name:** `web_sensory_characteristics_cremotemcp`
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**Location:** `mcp/main.go` lines 4338-4454
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**Description:** Detect instructions that rely only on sensory characteristics like color, shape, size, visual location, or sound (WCAG 1.3.3)
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**Parameters:**
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- `tab` (string, optional): Tab ID (uses current tab if not specified)
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- `timeout` (integer, optional): Timeout in seconds (default: 10)
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**Example Usage:**
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```json
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{
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"name": "web_sensory_characteristics_cremotemcp",
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"arguments": {
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"tab": "tab-123",
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"timeout": 10
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}
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}
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```
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**Output Format:**
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```
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Sensory Characteristics Detection Results:
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Summary:
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Total Elements Analyzed: 150
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Elements with Issues: 5
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Compliance Status: ❌ VIOLATIONS FOUND
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Violations: 3
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Warnings: 2
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Pattern Matches:
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- color_only: 2 occurrences
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- click_color: 1 occurrences
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- location_visual: 2 occurrences
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Elements with Issues:
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1. <button>
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Text: "Click the red button to submit"
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Matched Patterns: [click_color, color_only]
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Severity: violation
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Recommendation: Provide additional non-sensory cues (e.g., text labels, ARIA labels, or position in DOM)
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2. <p>
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Text: "See the round icon above for more information"
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Matched Patterns: [see_shape, location_visual]
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Severity: violation
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Recommendation: Provide additional non-sensory cues (e.g., text labels, ARIA labels, or position in DOM)
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⚠️ CRITICAL RECOMMENDATIONS:
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1. Provide additional non-sensory cues for all instructions
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2. Use text labels, ARIA labels, or semantic HTML structure
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3. Ensure instructions work for users who cannot perceive color, shape, size, or sound
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4. Example: Instead of "Click the red button", use "Click the Submit button (red)"
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WCAG Criteria:
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- WCAG 1.3.3 (Sensory Characteristics - Level A): Instructions must not rely solely on sensory characteristics
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- Instructions should use multiple cues (text + color, label + position, etc.)
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- Users with visual, auditory, or cognitive disabilities must be able to understand instructions
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```
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---
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## Command Handler
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**Location:** `daemon/daemon.go` lines 2020-2037
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**Command:** `detect-sensory-characteristics`
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**Parameters:**
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- `tab` (optional): Tab ID
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- `timeout` (optional): Timeout in seconds (default: 10)
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---
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## WCAG Criteria Covered
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### WCAG 1.3.3 - Sensory Characteristics (Level A)
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**Requirement:** Instructions provided for understanding and operating content do not rely solely on sensory characteristics of components such as shape, color, size, visual location, orientation, or sound.
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**How We Test:**
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- Scan all text elements for sensory-only instructions
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- Match against 8 sensory characteristic patterns
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- Flag critical violations (color, shape, sound)
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- Warn about potential issues (size, location)
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**Examples of Violations:**
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- ❌ "Click the red button" (color only)
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- ❌ "Press the round icon" (shape only)
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- ❌ "Listen for the beep" (sound only)
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- ❌ "See the square box" (shape only)
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**Examples of Compliant Instructions:**
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- ✅ "Click the Submit button (red)"
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- ✅ "Press the Settings icon (round gear shape)"
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- ✅ "When you hear the beep, the process is complete"
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- ✅ "See the Settings box (square, labeled 'Settings')"
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---
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## Accuracy and Limitations
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### Accuracy: ~80%
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**Strengths:**
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- High accuracy for common sensory patterns
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- Good detection of color/shape/sound references
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- Comprehensive pattern coverage
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**Limitations:**
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- Context-dependent (may flag legitimate references)
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- Cannot understand semantic meaning
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- May miss complex or unusual phrasings
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- Requires manual review for context
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**False Positives:**
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- Descriptive text (not instructions): "The red button is for emergencies"
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- Color as additional cue: "Click the Submit button (red)"
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- Shape as description: "The logo is a round circle"
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**False Negatives:**
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- Unusual phrasings: "Activate the crimson control"
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- Indirect references: "Use the colorful option"
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- Visual-only instructions without keywords
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---
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## Testing Recommendations
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### Test Cases
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1. **Color-Only Instructions**
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- "Click the red button"
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- Should flag as violation
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- Recommend adding text label
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2. **Shape-Only Instructions**
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- "Press the round icon"
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- Should flag as violation
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- Recommend adding ARIA label
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3. **Sound-Only Instructions**
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- "Listen for the beep"
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- Should flag as violation
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- Recommend visual alternative
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4. **Compliant Instructions**
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- "Click the Submit button (red)"
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- Should pass (color as additional cue)
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- No recommendation needed
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### Manual Review Required
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- Descriptive text (not instructions)
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- Color/shape as additional cues (not sole cues)
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- Context-dependent references
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- Technical documentation (may use sensory terms differently)
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---
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## Performance Considerations
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### Processing Time
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- **Per Page:** ~1-3 seconds (text extraction + pattern matching)
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- **100 Elements:** ~1-2 seconds
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- **500 Elements:** ~2-5 seconds
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### Recommendations
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- Use appropriate timeout (10s default)
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- Limit to reasonable text lengths (10-500 characters)
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- Skip very long text blocks (likely not instructions)
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### Resource Usage
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- **CPU:** Moderate (regex matching)
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- **Memory:** Low (text storage only)
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- **Network:** None (client-side analysis)
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---
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## Future Enhancements
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### Potential Improvements
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1. **Context Analysis:** Use NLP to understand context
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2. **Machine Learning:** Train model on labeled examples
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3. **Language Support:** Patterns for non-English languages
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4. **Custom Patterns:** Allow user-defined patterns
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5. **Severity Tuning:** Configurable severity levels
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6. **Whitelist:** Allow known-good phrases
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---
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## Conclusion
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Phase 2.3 successfully implements sensory characteristics detection with ~80% accuracy. The tool automatically identifies instructions that rely solely on sensory characteristics and provides actionable recommendations, significantly improving automated testing coverage for WCAG 1.3.3 compliance.
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