Project Overview
Problem Statement
Current language learning apps fail to adequately support users in practicing speaking and listening, leaving a gap between learning vocabulary and holding real-life conversations. These apps often provide limited, one-sided dialogues without addressing real-world scenarios.
Solution
Mimir is a voice-controlled language learning app designed to bridge the gap between vocabulary acquisition and conversational fluency. The app engages users in dynamic, context-rich conversations to enhance speaking and listening skills, simulating real-life scenarios and fostering natural language practice.
Key Features
Immersion
Allowing users to adjust assisstance levels in the lessons to help them train at different levels of learning.
Lessons
The lessons help users to listen, comprehend and speak in realistic scenarios.
Flash Cards
Learn Specific words, its pronunciation, etymology. translation and usage
Cues
Cues assist learners form sentences by providing them with nouns and verbs that would be helpful in that conversation
Basic Wh- Questions
Why
How
Who
Language learners seeking to improve their speaking and listening skills.
Language learners seeking to improve their speaking and listening skills.
Individuals preparing for travel, cultural immersion, or professional communication in a new language.
What
Features include dynamic, two-sided dialogues, real-time feedback, and multi-modal learning aids like images and contextual prompts.
Supporting elements such as user personas, dialogue flows, and interaction maps.
A voice-based conversational language-learning app designed to accommodate conversations branching out in various directions.
Secondary Research
Findings:
Design Challenges for Conversational Agents
Improve CAs’ ability to create multi-turn dialogues.
Add visual feedback to aid comprehension.
Sustained use outside the classroom is a challenge.
Persona Mapping
Interaction Maps
Task Flows
Information Architecture
