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The solution to that problem will require abstracting (is “laid-back” similar to “calming”?) from multiple diverse datasets (e.g. parsing user reviews? Ingesting App Store databases?), but this still leaves a significant challenge in terms of making a powerful and intuitive system that users can explore to find what they’re looking for. Does that mean users prioritising match importance for chosen terms on a scale? Does it mean a 3D space to navigate from the closest matches through less similar games of potential interest? Can I … | The solution to that problem will require abstracting (is “laid-back” similar to “calming”?) from multiple diverse datasets (e.g. parsing user reviews? Ingesting App Store databases?), but this still leaves a significant challenge in terms of making a powerful and intuitive system that users can explore to find what they’re looking for. Does that mean users prioritising match importance for chosen terms on a scale? Does it mean a 3D space to navigate from the closest matches through less similar games of potential interest? Can I … | ||
Feedback: | |||
We’ve certainly done related projects in the past. An effective method for this kind of problem is to create word clusters using Latent Semantic Analysis, or some other vector-based bag of words technique. However, past experience is that the resulting functionality is rather one-dimensional, and that our computer science students don’t have the visual design imagination to create anything other than the first idea you might think of (a word cloud in the projected vector space with font size varied according to word frequency). | |||
So if we were to offer something in this area this year, I’d like to extend it a bit. Do you have a good training set of labelled user reviews for your own products? | |||
Original suggestion for project 1: | Original suggestion for project 1: |
Revision as of 07:44, 26 October 2016
Contact: Saumitra Ganguly <Saumitra.Ganguly@Jagex.com>
Suggestions for 2017
Project 1:
Project 2:
Multidimensional descriptive engine and visualisation system
Eric Lagel - Senior Producer (eric.lagel@jagex.com)
Joel Graham - Director of Analytics & Data Science (joel.graham@jagex.com)
In games, as well as wider entertainment, there exist many different systems to describe features of a product. From the user perspective though, there is no consistency across vendors or platforms to provide a common understanding of the products I may be interested in (e.g. is this “MOBA” on PC the same as that “Action MMORPG” on Android?); it is also not possible to describe what you want in anything other than a narrow prescribed set of terms (e.g. how can I find a “laid-back” game to play, looking across genres and platforms?).
The solution to that problem will require abstracting (is “laid-back” similar to “calming”?) from multiple diverse datasets (e.g. parsing user reviews? Ingesting App Store databases?), but this still leaves a significant challenge in terms of making a powerful and intuitive system that users can explore to find what they’re looking for. Does that mean users prioritising match importance for chosen terms on a scale? Does it mean a 3D space to navigate from the closest matches through less similar games of potential interest? Can I …
Feedback:
We’ve certainly done related projects in the past. An effective method for this kind of problem is to create word clusters using Latent Semantic Analysis, or some other vector-based bag of words technique. However, past experience is that the resulting functionality is rather one-dimensional, and that our computer science students don’t have the visual design imagination to create anything other than the first idea you might think of (a word cloud in the projected vector space with font size varied according to word frequency).
So if we were to offer something in this area this year, I’d like to extend it a bit. Do you have a good training set of labelled user reviews for your own products?
Original suggestion for project 1: Social positioning and influence in a virtual space
Mark Ogilvie - Design Director (mark.ogilvie@jagex.com)
How we perceive ourselves socially is subject to many influences, and it is a difficult subject to study objectively due to those influences. Your goal is to use a virtual reality environment to study social perception. The focus of the project should be to deliver a system architecture that allows sociologists to track decisions and alter the experience to challenge or support trends discovered in the data.
Within a virtual reality environment, we could allow subjects to create their perceived self, using virtual, abstract objects of various shapes, colours and sizes in an attempt to mimic the way our self-perception changes under various influences. How are their creations influenced by the objects available? How are the creations influenced by the other creations in the area, be it anonymous or named? When tracked against the creator’s personal details, what trends can be discovered? What happens when subjects have the ability to “build” their perception of others? Such a product could evolve to a mobile state, locking a creation to a device and monitoring how a subject might change their creation based on new locations and influences.
Projects in 2016
Further proposals
Sponsor: David Solari Email: david.solari@jagex.com
Full motion video adventure game engine and toolset:- This project is about creating an engine and tool set which allows video footage to be utilised for the production of adventure games. Film features would include cutting, arranging, linking, freezing, zooming, and digital items to be inserted in film, digital special effect insertion slow mo and time lapse. Game features would include, two way dialog, path selection, inventory, 360 camera control, nodal integration points and a quick time interaction system. Control interface features would include mouse and keyboard; mobile touch and VR gesture. A simple proof of concept demonstrating the engine and tools would be required.
Strategy Card Game Creator (Sponsor: Mark Killey, email: mark.killey@jagex.com)
Chronicle: RuneScape Legends is a new strategy card game based around an innovative core mechanic and experimental card systems. While The Strategy Card Game Creator would be the Super Mario Maker of the genre!
It would be a game in which someone can create their own collectable card game, either single or multiplayer and share it with their friends. A player needs to create their own ruleset, cards, card effects and obviously a name for the game itself, which is then submitted to a central server. Other people can then play the game, leave a rating and feedback. The creator of the game will be able to see this feedback plus other key metrics, such as how many people have played the game. Players will also need to be identifiable so there would need to be some form of account system. The key for success will be to provide an intuitive yet sophisticated system that allows people to easily create or modify rulesets and cards in which can sit innovative mechanics. On top of that there will need to a be an effective system to ensure there is a meritocracy where the best games are easy to find and play!
More appropriate to MPhil student: Flame charts
(Sponsor: Philip Bielby, email: philip.bielby@jagex.com)
Google Chrome and Mozilla FireFox have some excellent profiling frameworks that produce charts that show time on the X-axis, and what has been taking up that time against that. This is extremely useful when profiling games written in JavaScript. However, there is no readily available complete solution to do this for a game not written for the browser.
We would like to have a series of functions we can call from C++ to:
- Mark when a frame ends
- Record custom ‘method calls’ from game scripting languages
- Record other custom events
We would also like to record what is happening in our C++11 code without having to manually instrument everything (perhaps using a custom LLVM instrumentation pass or similar, although an idea that works on multiple compiler frameworks (e.g. MSBuild/VS2015, llvm, gcc) might be preferable (but tricky)). It might be wise to allow shorter running methods to be filtered out if the data-set is too large, however (which I imagine might require a buffering step).
This data could then be transferred to a web browser interface (perhaps using the trace-viewer framework from Google Chrome: https://github.com/catapult-project/catapult/tree/master/tracing), preferably using WebSockets or similar to allow online gathering of data in as simple a fashion as possible, so that you can simply press a ‘profile’ button in the game to start and a ‘stop’ button when you are done, and have the view update with the profiling data that was collected.
The display of data should
- Be as a ‘flame chart’, allowing the user to drill down to find exactly
what is happening and when
- Handle processing on different threads as separate charts, so
multithreaded behaviour can be seen clearly
- Highlight different types of event separately
- Show when frames end clearly
Possible extensions could involve adding events/instrumentation to track memory usage/allocation, or ideas regarding profiling of GPU utilisation.