ARgh! kinesthetic learning

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Text of ARgh! kinesthetic learning

tELLMAR demo

Fridolin Wild1), Peter Scott1), Jaakko Karjalainen2), Kaj Helin2), Erik Isaksson3), Ambjoern Naeve3), Maurizio Megliola4), Gianluigi Di Vito4)

1) The Open University, UK 2) VTT, Finland, 3) Royal Institute of Technology (KTH), Sweden, 4) Piksel, Italy ARgh! - kinesthetic learning.Augmented World Expo, 27.-29.5., Santa Clara/CA

The Technology Enhanced Learning Living Lab for Manufacturing Environments.

Agenda

Context ManufacturingProcess Model (Mix, Match, Optimize)Activity ModelWorkplace ModelxAPI Tracking (Analytics with cRunch)

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Context ManufacturingWorkforce in EU: 225.6 M total employmentManufacturing EU: > 28.4 M1) employees> 12.6 %1)of which in SMEs: 59.9 %2)

Source: Eurostat, NACE R2 (2009), LFSI EMP A (2009)

1) Based on incomplete data, actual numbers higher: e.g. France missing.2) Based on incomplete data.3

Workplace != Workplace4(pictures: d7.1, study: d3.3)

Job Performance Aids5

Independent, self-regulated learnersAs individuals or in collaborationEngage in problem solving and devise new applications (prototyping)Extreme levels of memorization training and rehearsal (training to memory)Prepared to perform in challenging circumstancesScaffold people in carrying out an unfamiliar taskAdaptivityAdaptabilityconsumingdo-torialscreating do-torials

BLUE COLLAR WORKER EXPERIENCEEnquireMixMatchOptimise?Traces Need, ProblemActivityXML incl. Constraints Report, AnalyticsSuggestion, RecommendationClassifiable? Known? Unknown?Navigational positioning in taxonomyDiscovery supportSelection of existing mixes with ranked searchAuthoring of new or modified mixesPersonalised suggestions for improvement of mix / experiencetrackingConstraints:e.g. returned tool 15e.g. watched video Ae.g. 14/15 in PT sessione.g. 0 FOD problemse.g. energy < daily limitactivities:e.g. job cardse.g. taskse.g. learning pathsQueries(Reasoning)Learning by Experience(Wild et al., to appear; Wild et al., 2013)

BLUE COLLAR WORKER EXPERIENCEEnquireMixMatchOptimise?Traces Need, ProblemActivityXML incl. Constraints Report, AnalyticsSuggestion, RecommendationClassifiable? Known? Unknown?Navigational positioning in taxonomyDiscovery supportSelection of existing mixes with ranked searchAuthoring of new or modified mixesPersonalised suggestions for improvement of mix / experiencetrackingConstraints:e.g. returned tool 15e.g. watched video Ae.g. 14/15 in PT sessione.g. 0 FOD problemse.g. energy < daily limitactivities:e.g. job cardse.g. taskse.g. learning pathsQueries(Reasoning)Learning by Experience(Wild et al., to appear; Wild et al., 2013)

Sourcing: help to find or devise next-generation training solutions for blue collar workers in manufacturingAnalytics: allow comparative analysis on such measures as time-to-competence, long-term recall, maximum productivity achievable, time to spot and remedy mistakes, Transformate: help reduce or eliminate effort needed to upgrade training solutions

Scenarios: AR goes HTML5!8

explicittacit

ProblemSummer /Winter cycleFunctional fabricsSet up of the weaving mill.Each topic may hav.)Prevent potential defects before they happen.

Failed step: waste of resources.SB: Improve manufacturing process with attribute changes

The situation: as-is

PROFESSIONAL QUALIFICATION(e.g. courses, titles)MATERIALS (e.g. yarn 76/2 710)MACHINEto-be: do-torial (1)

Each topic may have several alternative learning contents attached (objects, actions, choices...)

DornierMTV38

Yarn76/2 710

Machine partsMaterialsOCCUPATIONAL HEALTH AND SAFETY3D MODEL

SchlagbaumSET UP PARAMETERS

ARgh! Component Architecture12

ARgh! UI Model13TELL ME project27-May-14

Traditional AR layermarkers3D objectsTied to object

PAINT GUN USEPROFESSIONAL QUALIFICATION(e.g. courses, titles)FURNITURE MODEL, 3D MODELMATERIALS (e.g. Pinewood)

do-torial

SOLVENTS, CATALYSTS & VARNISHESPAINTSEach topic may have several alternative learning contents attached (objects, actions, choices...)Tinting and Varnishing (all spraying benefit from same technology)OCCUPATIONAL HEALTH AND SAFETYLOCATION

Do-torial demo: Varnishing for tropical climate

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Interoperabilityis a property that emerges, when distinctive information systems (subsystems)cooperatively exchange data in such a way that they facilitate the successful accomplishment of an overarching task.

The Activity Model17

The Activity Model18

find the spray gun nozzle size 13

Messaging in the real-time presence channel and tracking to xAPI

Chaining of actions; modeling of reactions: onEnter / onTrigger

Styling (cascading) of viewports and UI elements

Constraint modeling:specify validation conditions and model workflow branching

e.g. smart player;e.g. request widget

Serialized Activity Modeluser %u% interacted spraygun user %u% interacted spraygun Find the Spray Gunbla]]>

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Tracking with the Experience API23

Analytics24

plot(net, usearrows = TRUE, usecurve = T)

Technology Enhanced Learning Living Lab for Manufacturing Environments25