Kognitive aspekter ved beslutninger i høy fart tunnelsyn, kartlesing og mental … · 2020. 3....

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Thomas PoratheProfessor interaksjonsdesignInstitutt for designNTNU Trondheim

Kognitive aspekter ved beslutninger i høy fart –

tunnelsyn, kartlesing og mental rotasjon

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HSC Sleipner, November 1999

Sleipnerolyckan i november 1999

The identical bridge on Sleipner’s sister ship Draupner

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Workload, contextual control levels

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The Yerkes–Dodson law (mice studies, 1908)

(“stress”/workload)

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Stressors

Stress Component Effects

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Stressors

• Selective attention (”tunnelling”)

• Working memory loss

• Preservation (confirmation bias)

• Coping

Stress Component Effects

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Stressors

• Selective attention (”tunnelling”)

• Working memory loss

• Preservation (confirmation bias)

• Coping

Coping techniques

• Recrute ressources (”try harder”)

• Remove stressors

• Strategic adaptation (change goals)

• Do nothing

Stress Component Effects

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Hollnagel, E & Woods, D.D. (2005). Joint Cognitive Systems: Foundations of Cognitive Systems Engineering. CRC Press

No ControlFull control

Completely deterministic performance

Levels of Control

Contextual Control Model (COCOM), Erik Hollnagel, 2005

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Contextual Control Model (COCOM), Erik Hollnagel, 2005

No Control

Strategic Tactical Opportunistic Scrambled

Full control

Completely deterministic performance

Hollnagel, E & Woods, D.D. (2005). Joint Cognitive Systems: Foundations of Cognitive Systems Engineering. CRC Press

Levels of Control

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Contextual Control Model (COCOM), Erik Hollnagel, 2005

Control mode Number of goals Subjectively available time

Evaluation of outcome

Selection of action

Strategic Several Abundant Elaborate Based on modes/predictions

Tactical Several (limited) Adequate Detailed Based on plans/experience

Opportunistic One or two (competing)

Just adequate Concrete Based on habits/association

Scrambled One Inadequate Rudimentary Random

Hollnagel, E & Woods, D.D. (2005). Joint Cognitive Systems: Foundations of Cognitive Systems Engineering. CRC Press

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Mental rotations

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Denna kartorienterig kallas Nord-upp

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Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171, 701-703.

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Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171, 701-703.

180 degrees

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Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171, 701-703.

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Denna kartorientering kallas

Head -up

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Fyra perspektiv på världen

Fyra perspektiv på världen

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Denna “kartorientering” kan vi kalla

Egosentrisk

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James Gibson: Optical Flow

Warren, W.H. (1995). Self-motion: Visual perception and visual control. In W. Epstein & S. Rogers (Eds.) Handbook of perception and cognition: Perception of space and motion. (pp. 263-323) New York, Academic Press.

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Warren, W.H. (1995). Self-motion: Visual perception and visual control. In W. Epstein & S. Rogers (Eds.) Handbook of perception and cognition: Perception of space and motion. (pp. 263-323) New York, Academic Press.

James Gibson: Optical Flow

Egosentrisk 3D kartvy)

Porathe, 2006

Porathe, T. (2006). 3-D Nautical Charts and Safe Navigation. Dissertation: Malardalen University Press

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Laboratory experiment in route guidance

using north-up, head-up and egocentric modes

Porathe, T. (2006). 3-D Nautical Charts and Safe Navigation. Dissertation, Västerås: Mälardalen University Press.

30 participantsAge: 22 – 54, alla men

18 combat boat drivers,

6 Experienced, active bridge

crew members

6 Cadets

45 participantsAge: 16 - 63

21 women

24 men

Three studies

MDU

The University

group 2005

CTH

The Bridge

Officer group

2007

32 cadetsAge: 20 – 24, all men30 fourth year cadets from Dalian Maritime University

DMU

The Chinese

bridge officer

student group

2011

Independent variables Dependent variables

Map types (Paper, North-up, Head-

up, 3-D)

Time on track

Gender Number of groundings

Age Subjective ranking of user-

friendliness

Navigational experience Score on figure rotation test

Self taxed sense of direction

MDU CTH DMU MDU CTH DMU MDU CTH DMU MDU CTH DMU

Head-up map 3D mapPaper map North-up map

8,2

5,8

13,9

4,2

3,1

2,0

3,6

2,5

1,9 1,7 1,6 1,8

0,0

2,0

4,0

6,0

8,0

10,0

12,0

14,0

16,0

18,0

20,0

Number of errors, comparisonError bars 95 % confidence level

MDU CTH DMU MDU CTH DMU MDU CTH DMU MDU CTH DMU

Head-up map 3D mapPaper map North-up map

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Dalian Maritime UniversityChalmers University of TechnologyMälardalen University

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Geomatics Norway AS

”Sikker kurs”2017-

Projekt

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Sikker kurs

konseptbilde

Porathe

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Ulsteinsvik

Ålesund

Stadlandet

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Brukergruppen i Ulsteinvik 19 januar 2017: deltagere fra småbåtslag i Sør Sunnmøre

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NoGo område

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Extraction of 3-meter curveNoGo område

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Extraction of 3-meter curveNoGo område

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Grunnstøtingslarm 30 sek. (konfigurerbar tid, automatisk utkobling vid lav fart)

Kurs-fart-vektor

Lengde = hastighet x tid

0,25 M (463 m) = 30 kn. x 30 sek.

Dybdekurva

Eget fartøy

Snitt trigger alarm

Konfigurerbar bredde

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GV9

22,4 knop

30 sek.

= 347 m

Frå vestre

Samsung

Galaxy s7

med ekstern

GPS og

Nokia 7 Plus

Mot

Boholmen på

Osneset,

Ulsteinvik

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Testade funktioner v.1 maj 2017

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Testade funktioner v.1 maj 2017

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Föraren

stopper

båten

Telefonen varsler i

”avstängt” läge

Varför? Appen visar djup mindre än 3

meter som röda polygoner

1.

2.Lydalarm

GrunnVarsel

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Föraren

stopper

båten

Telefonen varsler i

”avstängt” läge

Appen visar djup mindre än 3 meter som

röda polygoner

Båten går

automatiskt

ner i låg fart

GrunnVarsel

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