Chantal Vriens

My name is Chantal Vriens. I am a design researcher that enjoys working with data and AI-based products. Trying to make product innovation that is both enjoyable and meaningfull.

To achieve this I combine the ability to perform user research with interactive prototyping skills and knowledge on technology. I can design, perform user research, create prototypes and set-up design experiments.

A situated exploration of generative prototyping for AI in the insurance behavior tracking context

Individual project in collaboration with DEUS ~ human(ity) centered AI.

The Challenge

With the growing impact of AI-based interactions on our lives, the need to design AI applications that behave as intended has been established. The question that remains now is how? The challenge for my design research project was to perform a case study on designing an AI-based interaction using the theoretical adaptive solutions framework (ASF) in the context of health insurance behavior tracking applications.

My role and impact

Based on the approach described in the theoretical framework, I developed a series of three prototyping iterations. Each continues on the previous insights and adds some functionality. The final prototype is a web application that allows users to interact remotely with the fictional algorithm outcomes. The prototypes were thus used as a tool for physicalisation, to help talk about what intended means in for AI development in this context. The value of the project was found in combining practically implementable insights for creating more responsible insurance behavior tracking applications with strategic considerations for further framework development.

Awarded with a 9 (out of 10) and cum laude distinction

Keywords

Responsible AI | Research-Through-Design | Generative Prototyping | Web Application | Mock-ups | Figma

Creative data-collection on patient stress levels through a gamified MRI preparation experience

Individual project in collaboration with Philips

The challenge

This design project was about designing for creative and human data collection through making an MRI preparation experience. Combining gamified preparation and data collection could be valuable tools in improving the patients MRI experience. The question became if and how the gamified experience could influence collected anxiety data.

The impact

A comparative study was set up to measure the influence of gamified and traditional data collection interfaces on data collection of patient stress levels. The highly interactive prototypes for both experimental conditions were built using Unity and HTML with to a database to store the collected data. The setup allowed to perform the experiment remotely, while the game experience collected all the needed data. The experiment helped to show how the gamified experience improved the user experience while not influeing the data collection on patient stress levels. 

Awarded an excellent and currently under progress for a research paper submission.

Keywords

Design Experiment | Data Collection | Gamification | MRI | Healthcare | Unity | Web Development

Exploring the working from home environment through sensor and qualitative data

Team project following the data-enabled design approach

The challenge

With the arrival of COVID-19, many office workers have switched up their regulated office environment for a working-from-home (WFH) environment. Existing studies argue how the work environment affects performance. So with this switch, home-office workers have become in charge of creating their own optimal working environment. We wanted to re-explore the relationship between environment and productivity while specifically looking at the home office.

The impact

The project used the data-enabled design approach, which uses design probes to collect data in context. Our initial design cycle showed that office workers have little understanding of air quality regulations in their own workspace. Thus in our second iteration, we aimed to provide users with these insights through a live-data dashboard. Within the project, I mostly worked on analyzing our data to gather insights and I developed the functional data dashboard. The deployment of the dashboard helped us showcase the value of further developing new tools that help employees regulate their home-office environment using real-time sensor insights.

Keywords

Data-enabled Design | Data Collection | Web Development | Data Visualisation | Tableau | Miro | Arduino | Sensors

 

Do you want to exchange thoughts/opportunities/insights? You can reach me on linked-in.