At the Ocean Industries Concept Lab (OICL) we use the Microsoft HoloLens to explore how AR can help mariners navigate ships in the Arctic. However, when using the HoloLens in bright light conditions the graphics disappear more or less completely.

Using the HoloLens with sun screen on a ship bridge during bright light conditions in the Arctic. Photo: Jon Fauske.

Before our latest field trip to Svalbard we found a quick and dirty solution to this problem: we attached a window tint film to the headset. The do-it-yourself sun screen turned out to be highly effective, resulting in clear and bright AR graphics even in arctic conditions. Read on to get the template and learn how to use it! …


How I solved the 14th Data For A Cause challenge — and won!

Custom data visualisations can provide a unique and tailored view on a specific topic. But what do you do when you want to create a visualisation that goes beyond the standard charts and maps?

A glimpse of the visualisation, which you can see in full further down in the story or at https://jonolave.github.io/global-fishing/.

The 14th Data For A Cause challenge was to analyse and visualise data from the Global Fishing Watch, an organisation that promotes ocean sustainability by tracking and sharing data about global fishing activities.

The visualisation I created explores the relationship between countries’ economic wealth and their fishing activities in other countries’ waters.

This is the story of how I went from a 1.5 GB dataset to…


Imagine this: you are lying on your back in a cabin onboard a ship. It is the middle of the night, and you are trying to sleep, but a constant crunching and squeaking sound keeps you awake.

Your bed and everything else in your cabin shakes as the ship breaks steadily through thick sheets of ice. The ship, a 40-year-old ice breaker, doesn’t stop just because it’s in the middle of the night.

Welcome to design research in the field.

Research on navigation in ice

In the EU research project SEDNA we explore how to use Augmented Reality (AR) for ship navigation in the Arctic…


We are about to reach a state where Augmented Reality (AR) becomes both useful and usable. The following is an attempt at (re)categorising the AR landscape, focusing on technologies for visual AR.

AR techniques allow people to see virtual objects superimposed onto the real world. Azuma (1997) defined AR as systems that are interactive in real time and combine real and virtual objects in 3D. This definition is wide, and includes a range of techniques.

In the EU research project SEDNA we explore how to use AR for ship navigation in the Arctic. …


Nokon kallar det auka røynd, andre kallar det augmented reality (AR). Uansett kva du kallar det — AR har dei siste åra gått frå å vere ein våt framtidsdraum til å verte noko som faktisk fungerer.

Dette innlegget er eit forsøk på å kategorisere AR-landskapet, med fokus på ulike teknikkar ein kan nytte for å utvide røynda.

AR-teknikkar gjer at folk kan sjå virtuelle gjenstandar og grafikk lagt oppå den fysiske røynda. Azuma (1997) definerte AR som system som er interaktive i realtid, og kombinerer verkelege og virtuelle gjenstandar i 3D. Denne definisjonen er vid, og inkluderer dermed ei rekke teknikkar.

I EU-prosjektet SEDNA forskar vi på korleis AR kan nyttast på skip som skal navigere i Arktis. For å gjere dette treng vi ein praktisk og forståeleg oversikt over ulike AR-teknikkar.

Modellen

Dette er ikkje første…


How you measure success matters. The goals and key metrics you define will enable your team to know if you are on track or need to change direction. But different approaches provide different answers, and it’s easy to get fooled by the numbers.

The metrics you choose become even more important when they are used directly as input to your product, for example feeding into machine learning algorithms. The machines won’t automagically solve this. They only optimise based on the instructions they get. You need a plan.

If you want to analyse the performance of a digital service, such as…


A city full of blue and white bikes is a sure sign that spring has arrived. Carefree hipsters as well as parents running late for work are observed riding through the streets of Oslo.

In the spirit of transparency, Oslo City Bike have released both an API and historical data on how their bikes have been used.

I recently discovered this data and got really excited, and during Easter break, I spent some hours exploring and visualizing some of the bike rides. Here are the results:

Maps galore!

First off, I wanted to get some data onto a map in order to…


Kartogram er ei ganske sær form for visualisering, som går ut på å skalere ulike geografiske område på eit kart basert på data. Kva skjer om ein skalerer norske kommunar og fylke basert på ulike datasett frå SSB? Her er nokre eksempel, samt nokre refleksjonar om kvifor slike kart er problematiske.

Innbyggjarar

Noreg er eit stort land med relativt få innbyggjarar. Korleis ville landet sett ut om alle skulle ha like stor plass?

Norske kommunar skalert etter tal på innbyggjarar pr 1.1.2015. Kjelde: https://www.ssb.no/statistikkbanken/selectvarval/Define.asp?subjectcode=&ProductId=&MainTable=NY3026&nvl=&PLanguage=0&nyTmpVar=true&CMSSubjectArea=befolkning&KortNavnWeb=folkemengde&StatVariant=&checked=true

Dei store bykommunane er geografisk ganske små, men blir ganske enorme på det nye kartet: dei gule kommunane er Oslo (647 676 innbyggjarar), Bergen (275 112), Trondheim (184…

Jon Olav H. Eikenes

Information / UX designer in Oslo working for FINN.no.

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