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研究生研究项目

Personalized multimodal 人机交互s

类型的程度
哲学博士
学院研究生院
Faculty of Engineering and Physical Sciences
截止日期

信誉最好的网投十大平台这个项目

Robots have the potential of becoming companions that can assist and collaborate with people in everyday tasks. The embodied multimodal interaction capabilities based on gestures, 演讲, vision and affect/emotion exhibited by the robot companions can better engage users, 生理和社会, compared to digital interfaces such as mobile phones and computers. 在大多数情况下, the interaction behaviours exhibited by the robots are coded manually or automated to limited extents. 例如, by using scripted dialogues or teleoperated gestures. 进一步, there is also a need to investigate techniques to synchronize the behaviours exhibited across multiple modalities to suit various interaction contexts. 例如, the gestures of the robot need to suit its 演讲 and emotional context of the conversation.

The aim of the project is to develop unified computational frameworks to generate multimodal behaviours for interactions that are context-dependent and can be personalized to suit user preferences such as user personality and interaction styles.

You will explore the use of the existing state-of-the-art conversational dialogue systems, 计算机视觉, text-to-演讲 and emotion recognition modules to design novel interaction frameworks. These frameworks will look at bidirectional modelling of 人机交互s where the robot can understand the content and context of the users’ 演讲 and gestures and can respond through appropriate 演讲 and affective behaviours.

You will have access to specialist equipment and laboratories within the school such as HPC clusters and anthropomorphic and zoomorphic robots with integrated vision, audio and text-to-演讲 modules for the development and testing of relevant methodologies.

The project will encompass various exciting topics in computer science such as:

  • 深度学习
  • 人机交互
  • 自然语言处理
  • 情感计算

You will be supervised by leading researchers in their field and join an exceptional and vibrant team of postdoctoral researchers and other 博士学位 学生.

Successful candidates would have a strong background in computer science, 工程, maths or physics and preference would be given to those with good understanding of 深度学习 models and signal processing.

你将加入 School of Electronics and Computer Science which is ranked 1st in the UK for Electrical and Electronic Engineering (Guardian University Guide 2022) within the 信誉最好的网投十大平台, which is ranked in the top 1% of universities worldwide.

We will also support the development of your future career and give you opportunities including teaching assistantships, professional networking via leading organizations such as Alan Turing Institute and UKRI TAS Hub, 和获得 未来的世界 to explore commercialization for your research.

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