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Department of Computer Science


Stereotypes and Social Robots

Primary supervisor

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Other projects with the same supervisor

Funding

  • Competition Funded Project (Students Worldwide)

This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. Applications for this project are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full department and project details for further information.

Project description

CRADLE is an EPSRC-funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. The partnership aims to deliver novel and transformational RAS technology that enables robots to be deployed in the most demanding environments, such as space, nuclear, energy generation and urban infrastructure, over long lengths of time. In some of these settings, robots will need to be designed to work in collaboration with humans (human robot interaction).

People are prone to anthropomorphize (i.e. assign human qualities to) the many non-human entities with which they interact (objects, animals, etc.). This is particularly evident in the robot domain, where the majority of popular culture references involve robots taking human-like forms and engaging in human-like interactions. Thus, when designing for human-robot interactions, we may want to look to the cognitive tools that govern human-to-human interactions.

Stereotypes are the beliefs that we hold about a specific group of individuals (the attributes that make up these beliefs are referred to as stereotype content). Although often associated with negative (prejudiced) behaviour against individuals and groups, stereotypes are a valuable cognitive tool that can reduce cognitive load, facilitate decision-making, and help in our social interactions.

This project involves the application of stereotype content models to human-robot interactions. This will include the forms and external attributes of robots that influence associations and stereotype content, and the influence of associations and stereotype content in human-robot interactions. A potential application of this work would be the leveraging or manipulation of the stereotypes/associations users hold for social robots in order to address social equality or social justice issues.

You will need experience and interests in human-computer interaction or a related discipline (e.g. human-robot interaction, psychology) for this PhD. While this project is open to overseas students, CRADLE funding will only cover UK Home Student Fees. You will need to look for and apply for additional funding to cover the difference between overseas fees and home student fees. Please find this link for guidance on tuition fees: https://www.manchester.ac.uk/study/postgraduate-research/programmes/list/02954/phd-computer-science/

All projects will be supervised by academics at the University of Manchester and experts in the application of robotic systems at Jacobs, and they will all contain a significant focus on the design and development of practical robotic demonstrators.

Person specification

For information

Essential

Applicants will be required to evidence the following skills and qualifications.

  • You must be capable of performing at a very high level.
  • You must have a self-driven interest in uncovering and solving unknown problems and be able to work hard and creatively without constant supervision.

Desirable

Applicants will be required to evidence the following skills and qualifications.

  • You will have good time management.
  • You will possess determination (which is often more important than qualifications) although you'll need a good amount of both.

General

Applicants will be required to address the following.

  • Comment on your transcript/predicted degree marks, outlining both strong and weak points.
  • Discuss your final year Undergraduate project work - and if appropriate your MSc project work.
  • How well does your previous study prepare you for undertaking Postgraduate Research?
  • Why do you believe you are suitable for doing Postgraduate Research?