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Funded PhD studentship in HCI: Designing the Teaching Experience for Spreadsheets

Applications are invited for a PhD studentship at the UCL Interaction Centre (UCLIC), funded by an EPSRC/Microsoft iCASE studentship, for up to 4 years, from October 2021. Minimum enhanced stipend of £22,109 per annum, plus fees.

Supervisors: Prof Duncan Brumby, UCLDr Advait Sarkar, Microsoft Research, and Prof Anna Cox, UCL.

Spreadsheet applications, such as Excel, are deep and feature-rich software. We want users to learn and understand spreadsheet applications to take full advantage and be empowered by them. An important technique for doing so is ‘in-app teaching’, where we introduce new features and suggest tutorials through pop-up dialogs. However, we do not fully understand the optimal timing and level of information to provide in these dialogs. Nor do we understand how these dialogs participate in the wider learning experience of the user, which may involve consulting documentation, video tutorials, training courses, and help from colleagues.


If we do it right – we create an empowering moment for the user, who learns something new and useful. If we do it wrong (e.g., wrong timing, or wrong level of detail), we create a frustrating and irrelevant distraction that results in decreased user trust and satisfaction.


This PhD would develop a theory of interruptibility and spreadsheet mastery from observational studies and experimentally test one or more design interventions that improve the timing/design of in-app teaching dialogs. Beyond the immediate application of helping us better teach users our newest and best features in spreadsheet applications, like Excel, the results may have profound implications for how we design trustworthy tutorials for all feature-rich software. See more information about the project.

Person Specification

Applicants should be interested in Human-Computer Interaction (HCI), and must possess a strong Bachelor’s (1st or 2:1) or Master’s degree in a related discipline (e.g., Computer Science, HCI, Psychology). The ideal candidate for this project will be a deep analytical thinker who is also equipped with the necessary technical skills to conduct research using one or more of empirical methods (i.e., quantitative experiments conducted in the lab or the field or qualitative observational studies). Good programming skills, experience of software development of interactive applications or analytical models, and relevant previous research experience are also desirable.

Eligibility

To be considered for this scholarship applicants need to be meet the eligibility requirements defined by the UK Research and Innovation (please see linked document)). In particular, any applicants “classed as a home student” would be eligible for funding; applicants “classed as an International student” could be eligible for funding in exceptional circumstances (for example, if a candidate has an outstanding track record of very relevant research, including publications in top-tier venues). Please refer to the linked document for definitions of “home” and “international” student.

Application Procedure

Applicants should submit their applications via UCL Select by 5pm Monday 7 June – please notify Louise Gaynor with your application number when you apply. Applications must include:

  1. Personal statement (1 – 2 pages).
  2. Research proposal (1 – 4 pages): a summary of relevant literature to motivate a research question and a description of the type of research to be conducted (including ideas about the methodology and data analysis that could be used).
  3. Name and email contact details of two referees.
  4. Academic transcripts.
  5. CV.

Help with your proposal

Know what kind of contribution you want to make:

Use Seven Research Contributions in HCI by Jacob O. Wobbrock to help you think about what you want to do.

How should you structure your proposal?

The following advice is based on Andrew Derrington’s PIPPIN magic formula for structuring a research proposal.

  1. Briefly state the PROMISE. What will your programme of research deliver?
  2. Say why it is IMPORTANT. What gap in the literature does it address? Or which applied problem does it aim to solve?
  3. State up to 3 sub-PROBLEMS. What are the things you need to find the answer to in order to deliver on your promise?
  4. Introduce your PROJECT. Briefly say what sort of approach you will take.
  5. Next decribe how you intend to IMPLEMENT your programme of research. Which methods will you use to find the answer to your 3 sub-problems.
  6. And finally, say what will happen NEXT. What is the potential impact of your project?

Interviews will take place around 21 June 2021.

For an informal conversation about the project, please contact Prof Duncan BrumbyDr Advait Sarkar, and Prof Anna Cox. For queries regarding the application process please contact Dr Louise Gaynor.

Recovering from interruptions

Hospital wards are busy places, and medical professionals conducting routine tasks, such as setting up an infusion pump, are likely to find themselves interrupted at some point in the sequence. We have been investigating ways to reduce cognitive slips caused by interruptions, such as exploring the value of encouraging users to stop and think before resuming a task following an interruption. Findings suggest that the process of retracing previously achieved sub-goals can help with resuming a task. Ways of encouraging people to take time before resuming their task rather than jumping straight back in have been tested. In addition to demonstrating that people make speed/accuracy tradeoffs when resuming after an interruption, we are also investigating whether we can predict from eye-movement data if someone will make an error. Ultimately, as this work matures it will allow us to make predictions about device designs that better support error avoidance.

Back, J., Brumby, D. P., Cox, A. L. (2010). Locked-out: Investigating the effectiveness of system lockouts to reduce errors in routine tasks. Proceedings of the 28th international conference extended abstracts on human factors in computing systems, CHI EA ’10. ( pp.3775-3780). New York, NY: ACM Press. Author URL Publisher URL