Visualising academic integrity research terminology

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Revision as of 23:47, 12 December 2021 by AlexandruDanila (talk | contribs) (→‎Progress and Future Work: Added initial text that needs to be decided upon. Remember to remove tempalte bullet points once final text has been decided upon.)
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This is a template which you can use to help get you started on the wiki submission. It is just intended as a guide and you may modify the structure to suit your project.

Contributors

  • Miko Oberhauser, Department of Physics. Student partner. Focus on Graphic Design, October-December 2021.
  • Man Ho Lam, Department of Physics. Student partner. Focus on Education Design, October-December 2021.
  • Themis Halka, Department of Biomedicine. Student partner. Focus on Interaction Design, October-December 2021.
  • Alexandru-Eduard Danila, Department of Mathematics. Student partner. Focus on the way in which the data from the data set was displayed, October - December 2021.
  • Thomas Lancaster, Department of Computing. Staff partner from October 2021.

Aims & Learning Outcomes

The visualisation will be used as a supporting activity in the Academic Integrity in STEMM I-Explore module, therefore the target audience are second or third year Imperial College students in the module. In the beginning, most of them will only have limited amount of knowledge about academic integrity research, for example, everything about academic integrity is just anti-plagiarism and anti-cheating.

The aim will be to provide an interactive visualisation that shows the type of terminology used in academic integrity research paper titles and shows how this has developed over time. Some examples of the type of data available are given in the 2021 paper “Academic Dishonesty or Academic Integrity? Using Natural Language Processing (NLP) Techniques to Investigate Positive Integrity in Academic Integrity Research” (https://doi.org/10.1007/s10805-021-09422-4).

Researchers in the field of academic integrity might also be interested in using the visualisation, so it is worthy to create an extension that would allow the visualisation to work with a dynamic data set and to introduce information from paper abstracts as well as paper titles.

Intending learning outcomes:

After using this visualisation, the target audience will be able to:

  • Discuss the range of research that has been conducted under the academic integrity banner and identify topics of timely and personal interest to them.
  • Explore the range of terminology used in academic integrity research and to interpret how the choice of paper titles influences how often papers are cited and the future reach of research
  • Contrast the use of positive, neutral and negative language in discussing academic integrity and to show how the messaging used within the field has developed over time

Design Overview

Figure 1: The main page of the project.
Figure 2: The example page of what happens after a keyword has been introduced or the "Surprise me" button has been clicked.
  • What the final outcome was, how it looks, how it functions etc.
  • The final outcome of our design was to get a visualisation that the user can interact with and get the information they desire. You can take a look at our first prototype in the pictures on the side. The way it functions is the first thing you are seeing is the main page and from there you can then search for a keyword which will take you to more information on that respective keyword, or you can click on the "Surprise me" button which will take you to a random concept on our website. Once you have done one of these, you will see a new page (Figure 2) where more data will be displayed. The main part of the page on the right is a figure of the papers with the most citations including the keyword and underneath that there are hyperlinks taking you to related subpages on the website. The main part has got an extend button which will show more information such as a mini page of some of the most cited papers. On the left of that there are two diagrams. The top diagram is a radial graph displaying the use of language and how much of it is postive/neutral/negative. This page has also got an extend button which will provide more information on how the score was calculated, and the main positive/neutral/negative terms. Finally, the bottom diagram contains information about the most common terms. By expanding this, you will get more information about the papers that use these keywords.
  • Include graphics.
  • Do not include justification or design progression, leave this for later sections.

Design Justification

Assessment Criteria

List your cohort's assessment criteria. You may want to number the assessment criteria so you can refer to them easily later.

Education Design

  1. Target audience and their prior knowledge is clearly identified. This information is applied to decide what the learning outcomes should be.
  2. Key concepts identified and broken down into several discrete and easily achievable points.

Graphical Design

  1. The design is such that the visualisation is clear and easily understood; the layout isn't cluttered.
  2. The choice of font, as well as size and placement of text in the visualisation design, makes the information easy to comprehend.
  3. The colour palette is appropriate and well justified, making it easy to see all text/design elements.

Interaction Design

  1. The learner should know intuitively what the objectives are of the visualisation.
  2. The user should be able to intuitively understand the function of each interactive element in the visualisation.
  3. There should be immediate visual feedback when a learner interacts with the visualisation.

General

  1. The wiki page should give a clear overview of the project, and someone not familiar with the project should be able to understand it - no prior understanding necessary.
  2. The design choices should be well justified in the Wiki project page.
  3. Fulfillment of staff partner's brief.

Education Design

Since our target audience have very limited background knowledge, we want to allow them to freely explore the visualisation in the first instance instead of starting the scaffolding process and feeding much information straight away. There will be a button in each page which takes them back to the first page to restart.

Our project is heavily based on words instead of equations and numbers, and we also want to keep the audience interested and active all the time. Using word bubbles/clouds with different colours/sizes is a relaxing and impressive way to address information about words.

The relationship bewteen number of citations, choice of topics and year of publish can be too much information to give at once. We instead list there categories( least cited, average cited and most cited) to let the audience explore one after each one.

We want to present how the sentiments (positive, neutral and negative) of language in papers' titles change over time. Radial bar chart is the best choice as it can show the porpotions and different sentiments as different coloured sections at the same time.

In order to accommodate learners with different background knowledge and interests, search bar enables audience to further explore details in different topics on their own.

Graphic Design

Typefaces "Lato Thin", "Lato Regular", and "Lato Medium" on a white background. Shades of pink on blue are displayed below.
Figure 3: Design system of the visualisation. Lato is the typeface with regular being the style of choice. The two main colours are pink and blue. Only the most saturated shades are used for type as the contrast of the less saturated ones is not start enough on white to ensure good readability.

The construction of the design system for this visualisation involved creating the visual design language, including the components of colour, typography, size and spacing, along with a UI pattern. As we do not have much imagery, the guidelines for illustrations and icons have not been precisely defined (yet). Colours were selected and their contrast checked using the WebAIM online tool to accommodate users with visual impairments. Furthermore, care was taken to avoid the colours red and green for juxtapositions since about 1 in 12 men and 1 in 200 women suffer from red-green visual impairment[1]. Instead, magenta and imperial blue were chosen as contrasting colours to represent negative and positive sentiments, respectively. The shade of blue chosen is also the same as in the ImpVis logo to comply with the branding of the overall website. The sans serif font Lato was chosen as typeface due to its good readability at small sizes and large variety of styles (i.e. thin, regular, medium etc.).

On the topic page the desktop was divided into a side and main column following the rule of thirds. As per request of the staff partner the user should see the key data at a glance which is achieved by placing the primary chart of a topic in the main column and secondary charts in the scrollable side column on the left. For more information, users can expand each infographic by clicking on the icon in the top right corner of each representation. This way, the visualisation does not become cluttered and shows only the necessary information required to get a grasp of the topic. The zoom controls on the right are for magnifying the bubbles in this section to read what publication each one represents without losing the visual element of its size corresponding to the amount of times the paper has been cited. For the home page the background was blurred and the elements the user is meant to interact with are placed in the middle, to direct their attention to it. On both pages a help button was added to the top right or bottom right corner, as this is the location users intuitively look to find more guidance in.

The visualisation was made even more intuitive by using symbols whose function is known to the users. For example, when a user sees a magnifying glass icon in a bar, they know that this is a search bar where they can look up terms.

Throughout the design process, decisions were discussed within our project group and we continually suggested potential enhancements or challenged choices that had previously been made.

Next steps:

  • add scroll bar to the side column
  • make bubbles float and maybe even movable
  • add expanded views for individual graphs
  • embed publications (or their abstracts)
  • design more pages displaying different types of charts
  • make the design responsive

Click here and take a look at our first prototype!

Interaction Design

The interaction was designed to make the visualisation as intuitive as possible, with no need to explain the function of each tool. The homepage presents a search bar, which the user can use to input keywords if they have a specific theme they want to explore. The 'surprise me' button has been implemented for users that don't have a precise ideas and just want to explore the visualisation: it takes them rasndomly to a set of selected keywords. Using each of the two elements will take the user to the 'analysis page', where they will be able to subsequently navigate back to the homepage, to related topics, explore further some analyses by clicking on them.

All the implemented interactive options are intuitive, the user just clicks on the element and a new window, pop up or zoom will appear. e.g. the home button has a house shape: all straightforward.

Design elements

  • Question marks pop ups: can click on question marks on the home page: pop up with text explaining general function of interaction + different options. Justification: clear help function, intuitive. User can choose to click on it: if knows how to use the visualisation, no impact on the design, content not overwhelming.
  • Search bars and enter button: for learner's input of keywords/filters. Explicit function, similar to google
  • Buttons for navigation within platform: return to home page... function indicated on button
  • Links enabling user to click on words to either go to another page with this keyword inputted directly in the search bar, or click on paper title and go on page with more information about the paper: intuitive.
  • zoom buttons indicated by + and -: function is intuitive. Allow the user to make the titles of some bubbles, that might be too small to read, more readable

We originally decided on putting no indication and let the user find its way through the interaction, but following the feedback process, realised we might want to implement a question mark pop up that provides more information on each page if clicked on.

Progress and Future Work

  • Is the design finalised?
  • The design is not finalised. We have done the prototype of the project and the main frame.
  • Which pages have been uploaded to website?
  • Pages uploaded are: The main page and template pages for positive/neutral/negative terms.
  • Any ideas for future improvements.
  • Main ideas for future improvements are coding the website and making it functional and using a broader data set to get more accurate results.

Links