woman wearing yellow long-sleeved dress under white clouds and blue sky during daytime

Difficulty in simulating real-life scenarios

Accurately evaluating conversational agents requires testing in realistic scenarios, but healthcare and well-being scenarios are complex and varied and difficult to fully simulate.

Innovating Conversational Agents for Healthcare

We conduct extensive research to enhance conversational agents in healthcare, collaborating with experts to develop design principles and evaluation indicators for effective user interaction.

Two people are engaged in a conversation. One person is smiling, wearing a light-colored jacket, and has long hair. They are standing near a wall with decorative patterns.
Two people are engaged in a conversation. One person is smiling, wearing a light-colored jacket, and has long hair. They are standing near a wall with decorative patterns.
Transforming healthcare through technology.

Healthcare

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In the field of healthcare, although conversational agents have great potential, they are constrained by design and evaluation problems. In order to break through the status quo, it is necessary to promote development with innovative thinking and innovate in many aspects such as technology application, interaction mode, and evaluation system, so that conversational agents can better serve healthcare.

Polymorphic Interaction Upgrade

You didn’t come this far to stop

Integrate multimodal information such as voice, text, images, gestures, etc. to improve the ability of dialogue agents to understand user intentions and emotions. Use computer vision technology to identify patients' facial expressions and body movements, and combine voice and intonation analysis to more accurately judge patients' emotional states. For example, when it is detected that the patient is anxious and speaks in a hurried tone, the dialogue agent actively adjusts the interaction strategy, first comforting and then providing medical advice. In addition, explore the combination of brain-computer interfaces and dialogue agents, try to directly obtain patients' thinking signals, and achieve more natural and efficient interactions, especially for patients with difficulty in language expression.