HUMAN-DATA INTERACTIONS

 

In 2014, it redesigned data identities, renewed websites and committed to better explain its activities. Until then, data visualization was considered specialized in its interfaces.

 

The term Human-Data Interactions (HDI) was adopted to better describe activities.

 

This concept denotes a trend that puts people at the center of the data industry. Human-data interactions include all devices aimed at improving the way we understand and use the information contained in data.

 

These interactions will dramatically change the way we learn, the way we understand our environment, and the way we relate to others and ourselves.

 

An Information Environment Full of Data

 

More and more information is transmitted every day, and a significant part of this information is expressed in the form of data.

 

Unlike images or language, this data is not transparent to most of us. However, it is necessary to steer the services available to us, such as retargeting or social recommendation systems. Data is increasingly being used to assist us in our daily tasks.

 

There is a double challenge for our free will here: First, we are dissatisfied with an information environment that we understand less and less. The second is to not allow third-party services to influence our behavior.

 

Therefore, it needs to focus on how people access, understand and use data through multiple interactions.

 

Challenges of Human-Data Interactions

 

Human-data interactions as a discipline require many skills. Useful skills are of course essential for creating digital interfaces: interaction design, user experience, ergonomics, information architecture, IT development, etc.

 

However, they need to address much larger issues than how people physically interact with data.

 

For this reason, it is fed from the fields of statistics, mathematics, semiotics, sociology, economics, information and communication sciences, architecture, robotics and law. Five difficulties can be distinguished.

 

 

Inventing A New Visual Language

 

The first challenge lies in understanding data and their processing. Data visualization offers us the answer here.

 

It provides spatialization of information by visually translating data. Thanks to visual metaphors, our brain itself is visually presented. It relies on the ability to fit a much larger amount of information.

 

When faced with non-specialist data analysis, successive diagrams and pie charts are no longer enough to make sense of new data piles.

 

So, one of the challenges of human-data interactions is to come up with a new visual data language.

Control of Data

 

The second challenge involves allowing as many people as possible to "have control" over the data, i.e. making data processing easy, enjoyable and spontaneous.

 

These interactions can take different forms. It allows for a much richer range of motion than the now classic tactile interfaces.

 

Contactless devices or multi-purpose devices are added where familiar objects allow remote interaction with data. The search for new interactions is linked to the constant need to reduce complexity in data.

 

 

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Interaction makes it possible to break very dense information into parts that are easier for a human being. It makes it possible for everyone to explore these pieces as they see fit.

 

Zoom, filter, browse, tilt, move, hide, etc. With this, users take an active stance that makes it easier for them to take ownership of information.