|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||£15,225 Maintenance grant, Per annum|
|Placed On:||13th March 2020|
|Closes:||3rd May 2020|
Lead Supervisor name: Hongchuan Yu
The goal is two-fold, one is to give customers guidance for shopping, and another is to collect User eXperience (UX) data for product evaluation, design and development. The key point for product designers/developers is to collect UX data and conduct quantitative analysis. In fact, there are a lot of web based questionnaires or calling survey, such as SurveyMonkey. However, UX data is not only the traditional ranks and scores, and also dialog, text, intention hidden behind facial expression. Due to a lack of effective approaches to collect UX data, it is receiving wide attentions from ICT and design communities. The novelty of this project is that the proposed UX interface can work as aggregator/crawler of UX data. The interface will be of a virtual avatar which can communicate with customers in text and language. Through interactive communication, the avatar will automatically gather the UX data from shopping guidance. It will further give out product evaluation for product designers and developers.
This project will cover multiple disciplines, including computer graphics and animation, human machine interaction, data mining, and design. The outcome is very suitable for SMEs and start-ups. This is because SMEs and start-ups are unlikely to independently undertake UX data collection and UX centred design model based on their limited R&D resources.
What does the funded studentship include?
Funded candidates will receive a maintenance grant of £15,225 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 36 months. In addition, research costs, including field work and conference attendance, will be met.
Funded Studentships are open to both UK/EU and International students unless otherwise specified.
Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:
An ideal candidate should have a background in computer science, mathematics, engineering or a relevant subject.
In addition to satisfying basic entry criteria, BU will look closely at the qualities, skills and background of each candidate and what they can bring to their chosen research project in order to ensure successful and timely completion.
Closing date: The first call for applications will close on 3 May 2020.
For further information on how to apply click the ‘Apply’ button below or email firstname.lastname@example.org
Apply now: https://www.bournemouth.ac.uk/study/courses/phd-studentship-interactive-intelligent-user-experience-interface?utm_source=jobs.ac.uk&utm_medium=listing&utm_campaign=studentships2020&utm_content=Fully funded PhD and MRes studentships
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