knowledge in (geo)visualisation

40
Knowledge in (geo)visualisation The relationship between seeing and thinking Chris Marmo PhD Candidate School of Mathematical & Geospatial Sciences

Upload: chris-marmo

Post on 25-May-2015

1.047 views

Category:

Technology


3 download

DESCRIPTION

This presentation accompanies a conference paper. Here is the paper abstract that hopefully gives some context to the presentation:Modern research in geovisualisation has framed the discipline as a field more akin to “geovisual analytics” – one that places an emphasis on the human elements of exploration of data through interactive and dynamic geo-interfaces, rather than simple data representation. This rephrasing highlights the importance of cognitive aspects of human interaction with geo-based data and the interfaces designed to present them. In an attempt to provide a psychological background to the benefits of geovisual analytics, this paper will explore the role that perception has in complex problem solving and knowledge discovery, and will demonstrate that, through modern interactive technologies, (geo)visualisations augment and facilitate our natural ability to surface novel, surprising and otherwise invisible relationships between information. It will argue that it is through these novel relation-ships that we add to our understanding of the original information and simultaneously reveal new knowledge ‘between the gaps’.This talk was given on September 3rd, 2010 in Auckland, New Zealand

TRANSCRIPT

Page 1: Knowledge in (Geo)Visualisation

Knowledge in (geo)visualisation

The relationship between seeing and thinking

Chris MarmoPhD Candidate

School of Mathematical & Geospatial Sciences

Page 2: Knowledge in (Geo)Visualisation

Today...

2. Geo-Visualisations as sense-making tools

3. The Web and Social Objects

1. Project overview

Page 3: Knowledge in (Geo)Visualisation

Geo-knowledge project

Page 4: Knowledge in (Geo)Visualisation

Geo-knowledge project

Partnership with Parks Victoria

Design Research Institute's "Affective Atlas" group

Page 5: Knowledge in (Geo)Visualisation

How can Parks Victoria better utilise the knowledge it and it's staff have?

Geo-knowledge project

Page 6: Knowledge in (Geo)Visualisation

Geo-knowledge project

Currently, valuable park specific knowledge, obtained by rangers through years of experience, is inaccessible to other rangers and vanishes completely when rangers move on.

Tacit Knowledge:

Page 7: Knowledge in (Geo)Visualisation

Geo-knowledge project

Currently, valuable park specific knowledge, obtained by rangers through years of experience, is inaccessible to other rangers and vanishes completely when rangers move on.

Tacit Knowledge:

How can we retain and disseminate this knowledge?

Page 8: Knowledge in (Geo)Visualisation

Geo-knowledge project

Page 9: Knowledge in (Geo)Visualisation

Knowledge

Geo-knowledge project

Page 12: Knowledge in (Geo)Visualisation

Knowledge in (geo)visualisation

Page 13: Knowledge in (Geo)Visualisation

First: What is knowledge?

Page 14: Knowledge in (Geo)Visualisation

Subjectivity

'Knowledge' implies a 'knower', and does not exist outside social contexts and human interactionKnorr Cetina (2000), Seely Brown & Duguid (2000) and Ackoff (1989)

Page 15: Knowledge in (Geo)Visualisation

Ackoff (1989)

Data > Information > Knowledge > Wisdom

Page 16: Knowledge in (Geo)Visualisation

Data Information

Page 17: Knowledge in (Geo)Visualisation
Page 18: Knowledge in (Geo)Visualisation
Page 19: Knowledge in (Geo)Visualisation

Geovisualisations = geovisual analytics

Page 20: Knowledge in (Geo)Visualisation

Geovisual analysis, through the employment of highly interactive interfaces, focuses on the human elements of interface interaction and data exploration

Fabrikant & Lobben, 2009

Page 21: Knowledge in (Geo)Visualisation

We are visual creatures

Page 22: Knowledge in (Geo)Visualisation

The relationship between seeing + thinking

Larkin & Simon (1987) & Lohse (1993)

Diagrams are easier to understand than sentential (list) representationsPerceptual Inferences are made much faster than tabular data

Page 23: Knowledge in (Geo)Visualisation

The relationship between seeing + thinking

Larkin & Simon (1987) & Lohse (1993)

Johnson-Laird (1980) & Ware et al. (2008)

Diagrams are easier to understand than sentential (list) representations

We learn about the world through internal spatial representations - mental models

Perceptual Inferences are made much faster than tabular data

Pictures and diagrams help us form better quality mental models

Page 24: Knowledge in (Geo)Visualisation

The relationship between seeing + thinking

Larkin & Simon (1987) & Lohse (1993)

Johnson-Laird (1980) & Ware et al. (2008)

Baddeley & Hitch (1974) & Lowe & Bouchiex (2008)

Diagrams are easier to understand than sentential (list) representations

We learn about the world through internal spatial representations - mental models

Visuo-spatial reasoning plays a large part in memory and recall

Perceptual Inferences are made much faster than tabular data

Pictures and diagrams help us form better quality mental models

Interactive diagrams can help in the long-term recall of information

Page 25: Knowledge in (Geo)Visualisation

What does this all mean?

We learn spatially, and our perceptual abilities can be

exploited.

Page 26: Knowledge in (Geo)Visualisation

The Web & Social Objects

Page 27: Knowledge in (Geo)Visualisation

Social objects are the core of social interactionKnorr-Cetina (2000)

The Web and Social Objects

Page 28: Knowledge in (Geo)Visualisation

Visualisations, through interaction and interface design, become social objects.

The Web and Social Objects

Page 29: Knowledge in (Geo)Visualisation

...and enable a shared understanding to be reached.

The Web and Social Objects

Page 30: Knowledge in (Geo)Visualisation

The Social Life of Visualisation

MacDonald et al. (2009)

An interface framework designed to encourage the use of data visualisation as a storytelling medium

Page 31: Knowledge in (Geo)Visualisation

The Social Life of Visualisation

Mapping Decoration

redrawn from MacDonald et al. (2009)

Create

Page 32: Knowledge in (Geo)Visualisation

The Social Life of Visualisation

Mapping Decoration

redrawn from MacDonald et al. (2009)

Create

Tweaking

Annotation

Interpret

Page 33: Knowledge in (Geo)Visualisation

The Social Life of Visualisation

Mapping Decoration

redrawn from MacDonald et al. (2009)

Create

Tweaking

AnnotationSnapshot

Interpret Capture

Page 34: Knowledge in (Geo)Visualisation

Examples

Gapminder.org

ManyEyes

OECD Explorer

Page 35: Knowledge in (Geo)Visualisation

Rich Data InteractivitySharing +

communication

Greater sense-making

Page 36: Knowledge in (Geo)Visualisation
Page 37: Knowledge in (Geo)Visualisation

Summing up

(Geo)visualisations can help us make sense of things

We are visual thinkers

...individually, and as social objects, in groups.

Page 38: Knowledge in (Geo)Visualisation

Project Plan: Next Steps

Diary Study - mobile app to record notes at locations

Visualisation tool - initially for us, but hopefully a start on a geo-knowledge tool

Qualitative study looking at knowledge + place

Page 39: Knowledge in (Geo)Visualisation

Project Plan: Next Steps

Diary Study - mobile app to record notes at locations

Visualisation tool - initially for us, but hopefully a start on a geo-knowledge tool

Qualitative study looking at knowledge + place

Ethics approval in there somewhere...

Page 40: Knowledge in (Geo)Visualisation

Thank you

[email protected]

Bill Cartwright, Jeremy Yuille, Monique Elsley

ARC Linkage grant

Acknowledgements...