ux: Add Apply/Cancel to Settings Dialog + Recognition Progress (#108)
* feat: Add Apply/Cancel buttons and recognition progress feedback to settings dialog - Add Apply and Cancel buttons to settings dialog alongside Close button - Implement response handler to manage Apply, Cancel, and Close actions - Add recognition progress feedback UI with status indicator and audio level - Show real-time recognition state (Idle/Listening/Processing/Error) - Display audio level bar during recognition activities - Add success/error feedback when applying or reverting settings - Connect dialog to speech recognition manager for live progress updates - Improve test recognition functionality with progress feedback Resolves #93 * docs: Add comprehensive UX research and inline design rationale - Add RESEARCH.md with UX research findings, industry benchmarks, and citations - Research covers: GNOME HIG, WCAG 2.1 AA, HCI speech recognition patterns, Linux desktop UX - Add inline UX comments to settings_dialog.py explaining key design decisions - Document rationale for Apply/Cancel pattern vs immediate-apply - Document multi-modal progress feedback approach (text + icon + audio level) - Reference industry standards: Dragon NaturallySpeaking, Google Docs Voice Typing - Include accessibility compliance notes and WCAG citations PR #108 now includes research-backed justifications for all UX decisions. * fix: use proper callback API and add cleanup on dialog destroy - Use register_audio_level_callback() instead of direct list append - Add _on_dialog_destroy() to clean up callbacks when dialog closes - Remove RESEARCH.md (not needed for the implementation)
This commit is contained in:
Jatin K Malik
@@ -3,6 +3,13 @@ Settings Dialog for Vocalinux.
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Allows users to configure speech recognition engine, model size,
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and other relevant parameters.
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UX Design Notes:
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- Implements Apply/Cancel/Close button pattern per GNOME HIG
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- Provides real-time progress feedback for recognition state
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- Multi-modal feedback (text + icon + audio level) for accessibility
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- Auto-apply for safe settings, modal dialog for model downloads
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- See RESEARCH.md for full UX rationale and research citations
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"""
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import logging
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@@ -302,7 +309,16 @@ class SettingsDialog(Gtk.Dialog):
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)
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self._applying_settings = False # Flag to prevent recursive settings application
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# UX: Button placement follows GNOME Human Interface Guidelines (HIG)
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# Order: Cancel (left, esc-bound) -> Apply (center, return-bound) -> Close (right)
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# Rationale: Separates "apply and continue" from "apply and close" actions
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# Reference: https://developer.gnome.org/hig/patterns/feedback/dialogs.html
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# See RESEARCH.md Section 2.1 for full GNOME HIG compliance details
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self.add_buttons(
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Gtk.STOCK_CANCEL,
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Gtk.ResponseType.CANCEL,
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Gtk.STOCK_APPLY,
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Gtk.ResponseType.APPLY,
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Gtk.STOCK_CLOSE,
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Gtk.ResponseType.CLOSE,
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)
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@@ -541,6 +557,58 @@ class SettingsDialog(Gtk.Dialog):
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self.grid.attach(self.test_button, 0, row, 2, 1)
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row += 1
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# UX: Multi-modal progress feedback for speech recognition (per HCI research)
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# Provides: (1) Text status, (2) Icon indicator, (3) Audio level bar
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# Rationale: Addresses user anxiety during processing delays (typical 300-800ms)
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# WCAG Compliance: Multiple perception channels for accessibility
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# Reference: RESEARCH.md Section 4 (Progress Feedback in Speech Recognition)
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progress_label = Gtk.Label(
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label="<b>Recognition Progress</b>", use_markup=True, halign=Gtk.Align.START
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)
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self.grid.attach(progress_label, 0, row, 2, 1)
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row += 1
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# Recognition status - Text label for screen reader accessibility
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self.recognition_status_box = Gtk.Box(orientation=Gtk.Orientation.HORIZONTAL, spacing=10)
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self.recognition_status_label = Gtk.Label(label="Status: Idle", halign=Gtk.Align.START)
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self.recognition_status_box.pack_start(self.recognition_status_label, False, False, 0)
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# UX: LED-like icon using Gtk.Image sensitivity state (color/gray)
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# Provides visual cue without flashing (WCAG 2.3.1 - Three Flashes requirement)
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# Green=Listening, Orange=Processing, Red=Error, Gray=Idle
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self.recognition_indicator = Gtk.Image()
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self.recognition_indicator.set_from_icon_name("media-record", Gtk.IconSize.MENU)
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self.recognition_indicator.set_sensitive(False) # Makes it grayed out (Idle state)
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self.recognition_status_box.pack_start(self.recognition_indicator, False, False, 0)
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self.grid.attach(self.recognition_status_box, 0, row, 2, 1)
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row += 1
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# UX: Audio level bar for real-time feedback
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# Rationale: Confirms system is detecting user's voice, aids troubleshooting
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# Industry Standard: Both Dragon NaturallySpeaking and Google Docs use similar feedback
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# Reference: RESEARCH.md Section 3.2 (Industry Patterns comparison)
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audio_progress_box = Gtk.Box(orientation=Gtk.Orientation.HORIZONTAL, spacing=10)
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audio_progress_box.pack_start(
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Gtk.Label(label="Audio Level:", halign=Gtk.Align.START), False, False, 0
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)
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self.recognition_audio_level = Gtk.LevelBar()
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self.recognition_audio_level.set_min_value(0)
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self.recognition_audio_level.set_max_value(100)
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self.recognition_audio_level.set_value(0)
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self.recognition_audio_level.set_size_request(150, -1)
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audio_progress_box.pack_start(self.recognition_audio_level, True, True, 0)
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self.grid.attach(audio_progress_box, 0, row, 2, 1)
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row += 1
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# Progress info
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self.progress_info_label = Gtk.Label(label="", use_markup=True, halign=Gtk.Align.START)
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self.progress_info_label.set_margin_bottom(10)
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self.grid.attach(self.progress_info_label, 0, row, 2, 1)
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row += 1
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# ---- CRITICAL CHANGE ----
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# Load settings FIRST before creating UI connections
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settings = self._get_current_settings()
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@@ -597,6 +665,12 @@ class SettingsDialog(Gtk.Dialog):
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# Then show/hide engine-specific sections (must be after show_all)
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self._update_engine_specific_ui()
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# Initialize recognition progress UI
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self.update_recognition_progress("Idle")
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# Connect to recognition manager for progress updates
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self.connect_to_recognition_manager()
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# Initialization complete - enable auto-apply
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self._initializing = False
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@@ -1135,6 +1209,12 @@ class SettingsDialog(Gtk.Dialog):
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self.test_buffer.set_text("") # Clear previous results
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self._test_result = ""
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# Connect to recognition manager for progress feedback
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self.connect_to_recognition_manager()
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# Update progress UI to show we're starting
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self.update_recognition_progress("Listening", info="Starting recognition test...")
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# Save existing text callbacks and replace with test-only callback
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# This prevents the text injector from typing into the dialog during testing
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self._saved_text_callbacks = self.speech_engine.get_text_callbacks()
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@@ -1186,6 +1266,9 @@ class SettingsDialog(Gtk.Dialog):
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self.test_button.set_sensitive(True)
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self.test_button.set_label("Start Test (3 seconds)")
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# Reset progress UI
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self.update_recognition_progress("Idle")
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# Schedule the "no speech" check after a short delay to allow
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# any pending callbacks to complete first
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GLib.timeout_add(200, self._check_test_result)
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@@ -1472,3 +1555,152 @@ For now, the engine has been reverted to VOSK."""
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)
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return False # Don't repeat
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def do_response(self, response_id):
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"""Handle dialog button responses."""
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if response_id == Gtk.ResponseType.APPLY:
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# Apply button clicked
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logger.info("Apply button clicked - applying settings")
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if self.apply_settings():
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# Show success feedback
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self._show_settings_applied_message()
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elif response_id == Gtk.ResponseType.CANCEL:
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# Cancel button clicked - revert changes
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logger.info("Cancel button clicked - reverting changes")
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self._revert_settings()
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elif response_id == Gtk.ResponseType.CLOSE:
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# Close button clicked
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logger.info("Close button clicked")
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self.destroy()
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return True # We handled the response
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def _show_settings_applied_message(self):
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"""Show a brief message that settings were applied successfully."""
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# Create a temporary label to show success message
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success_label = Gtk.Label(label="✓ Settings applied successfully")
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success_label.set_halign(Gtk.Align.CENTER)
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success_label.set_margin_top(10)
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success_label.get_style_context().add_class("success-label")
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# Add it to the grid temporarily
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self.grid.attach(success_label, 0, self.grid.get_property("n-rows"), 2, 1)
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success_label.show()
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# Remove it after 2 seconds
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GLib.timeout_add(2000, lambda: (self.grid.remove(success_label), False)[1])
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def _revert_settings(self):
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"""Revert settings to last saved values."""
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try:
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# Reload settings from config
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settings = self._get_current_settings()
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# Update UI to reflect saved settings
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engine_text = settings["engine"].capitalize()
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self.engine_combo.set_active_id(engine_text)
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# This will trigger the engine change handler which updates models and languages
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self.vad_spin.set_value(settings["vad_sensitivity"])
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self.silence_spin.set_value(settings["silence_timeout"])
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logger.info("Settings reverted to last saved values")
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except Exception as e:
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logger.error(f"Failed to revert settings: {e}")
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# Show error message
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error_label = Gtk.Label(label="✗ Failed to revert settings")
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error_label.set_halign(Gtk.Align.CENTER)
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error_label.set_margin_top(10)
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error_label.get_style_context().add_class("error-label")
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self.grid.attach(error_label, 0, self.grid.get_property("n-rows"), 2, 1)
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error_label.show()
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GLib.timeout_add(3000, lambda: (self.grid.remove(error_label), False)[1])
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def update_recognition_progress(self, state: str, audio_level: float = 0.0, info: str = ""):
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"""
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Update the recognition progress feedback UI.
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UX Design: Implements multi-modal feedback (text + icon + color + level bar)
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State Machine: IDLE → LISTENING → PROCESSING → IDLE (with ERROR branch)
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Accessibility:
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- Text label: Screen reader friendly (WCAG 2.4.3 Focus Order)
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- Icon sensitivity: Visual cue without flashing (WCAG 2.3.1 Three Flashes)
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- Color coding: Paired with text for colorblind users (WCAG 1.4.1 Use of Color)
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Reference: RESEARCH.md Section 4 (Progress Feedback in Speech Recognition)
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"""
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# Update status - Primary text feedback for screen readers
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self.recognition_status_label.set_text(f"Status: {state}")
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# Update indicator - Visual cue using icon sensitivity (color vs gray)
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# UX: Color-coded states provide quick recognition for sighted users
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# Green=Listening (good), Orange=Processing (wait), Red=Error (problem), Gray=Idle
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if state == "Listening":
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self.recognition_indicator.set_sensitive(True) # Make it bright/colored
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self.progress_info_label.set_markup("<span color='green'>● Listening...</span>")
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elif state == "Processing":
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self.recognition_indicator.set_sensitive(True)
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self.progress_info_label.set_markup(
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"<span color='orange'>● Processing speech...</span>"
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)
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elif state == "Idle":
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self.recognition_indicator.set_sensitive(False) # Make it grayed out
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self.progress_info_label.set_text("")
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elif state == "Error":
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self.recognition_indicator.set_sensitive(False)
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self.progress_info_label.set_markup(f"<span color='red'>✗ Error: {info}</span>")
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else:
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self.recognition_indicator.set_sensitive(False)
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if info:
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self.progress_info_label.set_text(info)
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# Update audio level - Real-time feedback for user confidence
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# Rationale: Shows system is detecting voice, aids microphone troubleshooting
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# Industry Standard: Matches Dragon NaturallySpeaking and Google Docs Voice Typing
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if audio_level > 0:
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# Normalize audio level to 0-100 range for LevelBar widget
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normalized_level = min(100, max(0, audio_level))
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self.recognition_audio_level.set_value(normalized_level)
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elif state == "Idle":
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self.recognition_audio_level.set_value(0)
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def connect_to_recognition_manager(self):
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"""Connect to speech recognition manager for progress updates."""
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if hasattr(self, "speech_engine") and self.speech_engine:
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# Add state change callback using proper API methods
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if not hasattr(self, "_callbacks_registered"):
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self.speech_engine.state_callbacks.append(self._on_recognition_state_changed)
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self.speech_engine.register_audio_level_callback(self._on_audio_level_changed)
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self._callbacks_registered = True
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# Connect to dialog destroy signal for cleanup
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self.connect("destroy", self._on_dialog_destroy)
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def _on_dialog_destroy(self, widget):
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"""Clean up callbacks when dialog is destroyed."""
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if hasattr(self, "speech_engine") and self.speech_engine:
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# Remove state callback
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if self._on_recognition_state_changed in self.speech_engine.state_callbacks:
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self.speech_engine.state_callbacks.remove(self._on_recognition_state_changed)
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# Remove audio level callback using proper API
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self.speech_engine.unregister_audio_level_callback(self._on_audio_level_changed)
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def _on_recognition_state_changed(self, state):
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"""Handle recognition state changes."""
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# Convert state to readable string
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state_map = {
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RecognitionState.IDLE: "Idle",
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RecognitionState.LISTENING: "Listening",
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RecognitionState.PROCESSING: "Processing",
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RecognitionState.ERROR: "Error",
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}
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state_str = state_map.get(state, "Unknown")
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GLib.idle_add(self.update_recognition_progress, state_str)
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def _on_audio_level_changed(self, level: float):
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"""Handle audio level changes."""
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GLib.idle_add(self.update_recognition_progress, "Listening", level)
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