December 15, 2021

Functional Test Automation Tool: From UX to Gamification

Laurence Moscardini
Blog > Agile
Functional Test Automation Tool: From UX to Gamification

The mental activity of testers is a complex activity. To identify the risks and opportunities for design innovation in functional test automation tools, it is important to implement collaborative approaches. This is why at Agilitest we integrate UX research, Artificial Intelligence and gamification methods to be as close as possible to testers.

This article introduces the artificial intelligence approach applied to user experience.

Gamification and functional testing: from cognitive ergonomics to UX

Cognitive ergonomics is a discipline that focuses on human cognitive processes and on the interaction between humans and machines. The objective is to take into account human cognitive functioning (memory, attention, perception, thinking, decision making...). In this case, we talk about users of a system. The goal is to improve the quality of Human-Computer Interfaces (HCI) by implementing a user-centered design approach.

The term UX (User eXperience) refers to the quality of the user's experience in any interaction situation. Cognitive ergonomics is the main discipline for understanding UX. User experience (UX) is the overall feeling a user has when using a digital device, interface, or service. For more information on UX, see the Nielsen Norman Group website). User research therefore aims to improve the user experience by understanding the relationship between actual usage behavior and design properties.

Functional testing: from UX to AI

In the B2B world, learning tools can be a great help to users in their daily lives. The use of artificial intelligence and more specifically Machine Learning in the testing world is still in its early stage. Machine Learning produces models from data to automate and support the cognitive processes that support a user's daily activities. The UX Research method allows the study of user behavior while taking into account human complexity.

Machine Learning and UX are compatible because they share similar objectives. However, their implementation is a real challenge. This collaboration between UX and AI requires the development of new methods to support the complex cognitive activity of users.

AI must first be focused on enhancing the user experience. To make the most of it, the product team must coordinate diverse skills and break down barriers, keeping the human element at the center. To understand the AI data in relation to the human activity, first analyze users' cognitive activity and gather qualitative data.

Current professional tools therefore need to evolve in order to anticipate the cognitive activity of users and offer the functionalities they need more directly. This is how we can considerably facilitate the use of professional testing tools.

Gamification applied to tests

In a 2015 conference, Eric Brangier, Professor of Ergonomic Cognitive Psychology at the University of Lorraine discusses in an article entitled 'Gamification of HMIs: how and why to make workers play?' the fact that today, "we face the emergence of professional technical systems that have the characteristics of games. Inspired by video games, these systems propose new human-technology interfaces that mix playful graphical presentations with new kinds of professional constraints. It's about taking inspiration from gaming and extracting principles and techniques from it, which could result in improved digital systems and greater appeal among the professional audience."

This idea of Gamification has spread to several areas of digital notably thanks to the work of Celia Hodent, PhD in cognitive psychology. Celia Hodent was Director of user experience at Epic Game (find out more information on Celia Hodent's activities).
To offer the best user experience on a tool, the product must meet the needs of users and be adapted to their constraints. But also, through the integration of gamification, to allow them to access a more enjoyable experience.

At Agilitest, our users are testers. In this context, Agilitest's objective is to support the development of a test scenario or test maintenance. To do this, we study user behavior to bring new functionalities and feed data into every decision we make. We know that many functional tests are still performed manually at the end of the development cycle, with negative effects on software quality and delivery times. The UX mission at Agilitest is to help create a culture driven by insights from our customers' real-world business. The goal is to turn customer experiences and data into recommendations to impact our product strategy and direction.  We believe that automated testing, accessible to all and robust, is a prerequisite for the emergence of Agile development teams that are committed to continuous delivery and have constant visibility into the quality of their applications. In order to improve our test automation tool, we are committed to integrating UX, AI and gamification methodologies to facilitate the daily activity of testers.

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Laurence Moscardini

About the author

Laurence Moscardini

Laurence Moscardini was trained in Aix en Provence in the Master of Cognitive Ergonomic Psychology directed by Nathalie Bonnardel and completed a PhD in Paris in the field. She started her professional career as a researcher at the Laboratoire des Usages en Technologies d'Information Numériques (LUTIN Userlab), then worked as a freelance UX Researcher while teaching cognitive psychology and user-centered design at the University of Paris and the University of Corsica. Laurence joined Agilitest's R&D division in September 2021 as Chief eXperience Officer and UX Researcher. She is responsible for the quality of the overall user experience, especially with the product. To do so, she implements UX Research and UX Design methods to study user behaviors and translate these insights into actionable solutions for the product team.

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