Category Archives: literature review

Implications of dual coding for information design

As part of a project I am collaborating on, I recently learned about dual coding theory which was introduced by Allan Paivio in the 1970s. In short, dual coding is a cognitive psychology theory that argues that the use of visuals and

Implications of dual coding for information design

As part of a project I am collaborating on, I recently learned about dual coding theory which was introduced by Allan Paivio in the 1970s. In short, dual coding is a cognitive psychology theory that argues that the use of visuals and

The book is here!

Almost two years ago, I was in my train ride to work and started writing a book proposal based on an idea that had been in my mind for a long time. Today the book arrived! Making Sense of Field Research: A

The book is here!

Almost two years ago, I was in my train ride to work and started writing a book proposal based on an idea that had been in my mind for a long time. Today the book arrived! Making Sense of Field Research: A

Everything info designers need to know about field research, but never ask!

Since I started my journey as a design researcher, I realized that there was a big gap in the literature about using research–particularly qualitative research (i.e. not marketing research!)–in design practice, and even more in the field of information design.

Everything info designers need to know about field research, but never ask!

Since I started my journey as a design researcher, I realized that there was a big gap in the literature about using research–particularly qualitative research (i.e. not marketing research!)–in design practice, and even more in the field of information design.

The Goldilocks Understanding

Last week, I came across a chapter written by Karl Weick in 1993 about sensemaking and found a few concepts quite useful to better understand information designers’ simplification process and why, often, outputs do not work as intended. It is not

The Goldilocks Understanding

Last week, I came across a chapter written by Karl Weick in 1993 about sensemaking and found a few concepts quite useful to better understand information designers’ simplification process and why, often, outputs do not work as intended. It is not

A (more) complete picture of Design

In the last 15 years, design education has dramatically changed. Generally speaking, at the beginning of 2000s, design education was pretty much the job of art and design schools, and mostly had a learning-by-doing approach, involving hands-on studio-based assignments. It was

A (more) complete picture of Design

In the last 15 years, design education has dramatically changed. Generally speaking, at the beginning of 2000s, design education was pretty much the job of art and design schools, and mostly had a learning-by-doing approach, involving hands-on studio-based assignments. It was

Six approaches to visualising complexity

As information designers, we often create visual representations of meaning to make hard-to-understand information (e.g. scientific information, highly technical, unknown) more accessible to a wider audience. When well-conceived, these visualisations translate complexity into a simpler way to communicate a key message. Visualisations also help understand patterns and

Six approaches to visualising complexity

As information designers, we often create visual representations of meaning to make hard-to-understand information (e.g. scientific information, highly technical, unknown) more accessible to a wider audience. When well-conceived, these visualisations translate complexity into a simpler way to communicate a key message. Visualisations also help understand patterns and

How can information design support sensemaking cognitive activities

Sometimes, making sense of data* can be challenging. Data is often perceived this way when a data set is too big or too complex. This indicates that size (small/big) and nature (simple/complex) are frequent issues that can influence the sensemaking process.

How can information design support sensemaking cognitive activities

Sometimes, making sense of data* can be challenging. Data is often perceived this way when a data set is too big or too complex. This indicates that size (small/big) and nature (simple/complex) are frequent issues that can influence the sensemaking process.