Arki Robotics' Emotion Computing Module, based on the EVA-1 model, enables three breakthrough interaction experiences:
- Multimodal emotion recognition: Accurately determine the user's emotional state by analyzing the rhythmic characteristics of the user's voice (speech rate, pitch), the tendency of the wording, and the facial expression (if the camera is enabled).
- Dynamic Expression Feedback: Equipped with a high-precision LED matrix screen, it can present dozens of micro-expressions ranging from joy to empathy, with response latency controlled within 400 milliseconds
- Emotional Dialogue Strategies: Built-in psychology knowledge base, which actively switches to comfort mode when it detects low mood, uses more affirmative language and provides soothing music recommendations.
In practice, Arki exhibits anthropomorphic continuous emotional memory. For example, when the user mentions work pressure for three consecutive days, it will gradually adjust its interaction strategy, upgrading from simple comforting to providing meditation guidance or work and rest suggestions. The test data shows that long-term users' emotional dependence on Arki reaches 72%, significantly higher than the average level of 35% of ordinary voice assistants.
This answer comes from the articleAutoArk: A Multi-Intelligence AI Platform that Collaborates on Complex TasksThe
May not be reproduced without permission:AI productivity tools " What are the innovative features of the Arki desktop robot in terms of emotional interaction?
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