This document discusses how game developers can use data collection tools to improve their games. It provides examples of how data collection can help with troubleshooting design problems, performance testing, detecting usage patterns, and adjusting difficulty levels. The document also outlines the key elements of rational game design, which uses quantifiable data to balance challenge and fun. It recommends collecting a variety of usage data, looking for patterns, modifying game elements, and repeating the process in an ongoing feedback loop to craft the ideal player experience. Finally, it promotes the tools on id.net for tracking user registrations, engagement, and implementing achievements/leaderboards to further incentivize player participation.
“Dollars as Points: Marrying Real and In-Game Progress”
Serious game creators want good play to create measurable real-world benefit. Players want games to provide positive feedback for good play. Learn strategies to satisfy both of these requirements in a harmonious, efficient way, and how to identify warning signs that your game may be missing the mark.
“Dollars as Points: Marrying Real and In-Game Progress”
Serious game creators want good play to create measurable real-world benefit. Players want games to provide positive feedback for good play. Learn strategies to satisfy both of these requirements in a harmonious, efficient way, and how to identify warning signs that your game may be missing the mark.
Career as a Product Manager / Data Analyst in the Games IndustryThomas Hulvershorn
An introduction to Product management and Data Analytics and advice how to start your career in these areas.
Sahil Gupta and Thomas Hulvershorn talking to Students at Abertay University in Dundee / Scotland
This presentation outlines the basics of game analytics and the symbiotic relationship between game analytics and game user research, and provides 10 examples of cool game analytics and game data mining methods applied across the board of indie to AAA titles.
This talk presents how learning analytics can be applied to improve serious games and serious games research. It describe what is needed for implementing a sucessful game learning analytics approach. It presents 3 examplos of how GLA are being actually used with games in schools, one in the medical domain, one for improving independent life of people with cognitive impairement and one dealing with cyberbullying.
keynote talk given at the Internationa Joint Conference on Serious Games
Long Lin at AI Frontiers : AI in GamingAI Frontiers
Games have been leveraging AI since the 1950s, when people built a rules-based AI engine that played tic-tac-toe. With technological advances over the years, AI has become increasingly popular and widely used in the gaming industry. The typical characteristics of games and game development makes them an ideal playground for practicing and implementing AI techniques, especially deep learning and reinforcement learning. Most games are well scoped; it is relatively easy to generate and use the data; and states/actions/rewards are relatively clear. In this talk, I will show a couple of use cases where ML/AI helps in-game development and enhances player experience. Examples include AI agents playing game and services that provide personalized experience to players.
Using Data Science for Behavioural Game DesignGameCamp
In this talk, the speaker shows how data science and behavioral science can help to design better games, increase retention, and in-app purchases, and achieve viral growth. Presentation delivered at 8th edition of GameCamp (www.GameCamp.io).
Power Up Competitive Price Intelligence with Web DataConnotate
Unprecedented price transparency has shifted the balance of power to the consumer, compressing margins and shattering the strongholds of premium brands.
Finding The Perfect Donor Database In An Imperfect World4Good.org
There are hundreds of donor databases on the market. Each has its own strengths and weaknesses, fans and foes. The challenge is to find a system with strengths that meet your needs, weaknesses that won’t get in your way, at a price you can afford.
This workshop will cover the basic concepts you will need to evaluate your options and make an informed decision.
GLAID: Designing a Game Learning Analytics Model to Analyze the Learning Process in Users with Cognitive Disabilities
Downtown: Serious Game designed and develop to teach young people with Down Syndrome to move around the city using the subway
We are using learnig analytics for evaluating the game and for knowing how the user is doing in the game
This work is part of the H2020 BEACONING project
Downtown is a game
Using Data Science to grow games / Robert Magyar (SuperScale)DevGAMM Conference
- How did we double the profits of a game played by 160 million players with Machine Learning?
- What are the challenges of everyday use of ML in mobile games?
- We'll show you examples of how we've doubled the profits of the Hill Climb Racing 2 mobile game with cloud ML solutions.
- We will also show how we predict the long-term success of mobile gaming marketing campaigns in our portfolio
- We will take a closer look at prediction methods, ML cloud pipeline and other Data Science points of interest
Le Machine Learning, l’IA, le DeepLearning, les Statistiques, le Data Mining… bref, tous ces mots sont les buzz words du moment mais que se cache-t-il derrière ?
A travers des exemples concrets, on parcourra les différentes approches du Machine Learning, les grandes familles d’algorithmes (n’ayez crainte : sans rentrer dans le cœur de leurs implémentations), puis les outils et les frameworks à la disposition des Data Scientists… et pour finir, on essayera de prédire l’avenir !
Salon Data - Nantes - 19 Septembre 2017
https://salondata.fr/2017/07/12/0930-1030-ml/
Leveraging Analytics In Gaming - Tiny Mogul GamesInMobi
'Analytics In Gaming' and how you can use it to improve the game's acquisition, retention and engagement' by Rajdeep Gumaste, Product Manager - Tiny Mogul Games.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
2. Why Collect Data in a Game?
o Troubleshooting design problems
o Detecting pattern changes
o Performance testing
o A/B testing design changes
o Understanding users
o Learning how to best sell products
o Adjusting difficultly to boost fun
9. Overview of Rational Game Design
Rational development is a way of objectively
creating an experience using quantifiable data.
The data determines the precarious balance
between rage and boredom. To achieve this,
elements are manipulated to perfect the player
experience.
13. Implementing Rational Design with
Feedback Loops
1. Measure actions by collecting data
2. Search for evidence by find patterns in the data
3. Locate the elements that can be modified to change the action
4. Measure the results
5. Rinse and Repeat
14. Tools Available
Track.id.net
Registrations vs plays
Game comparison (admins)
Unique players and Engagement
Browser distribution
OS distribution
Custom events
id.net features
Achievements
High scores
Avatars
Points
Game screenshots
External tools
Google Analytics
Loggly
Datacracker
Excel or Google Docs
15. Tips for Collecting Data
• Schedule a regular time to adjust tracking code
• Use multiple sources where possible
• Discuss the results with someone
• Find a consistent time or place to log data in game
• Plan enough time to measure patterns and results
• Have data collection in and tested before QA
16. Reaching Goals
• Collect as much data as useful
• Look for patterns
• Modify elements
• Measure results and repeat
• Use id.net social features to reward players
and incentivize ecosystem growth
• Achievements
• high scores
• avatars
• point awards
• game screenshots
• profile views, forum views
• Implement elements strategically to drive actions
• Bonuses and gifts
• Items, unlockables
• quests, challenges, competition
