Application overlapping user profiles to foster reflective learning at work.
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Transcript of Application overlapping user profiles to foster reflective learning at work.
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Application overlapping user profiles to foster reflective learning at work
Angela Fessl, Gudrun Wesiak, and Granit Luzhnica
16. September 2014
ARTEL Workshop, EC-TEL 2014, Graz, Austria
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Agenda
▪ The MIRROR Project
▪ Motivation
▪ MIRROR Applications: 2 Examples
▪ MIRROR User Profile Application (MUP)
▪ Proof of Concept
▪ Future Work
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
MIRROR – Reflective Learning at Work
EU IST FP7 Integrated Project
Informales Lernen am
Arbeitsplatz durch
Reflektion über Arbeitser-
erfahrungen
Scientific partners
Test-bed partners
Informal learning in the
workplace through
reflection on work
experience.
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Motivation
▪ Thus, reflective learning has become an important activityof knowledge-workers to …
▪ re-experience past situations
▪ reflect upon their activities and
▪ improve future working behaviour
▪ Work-integrated reflection tools and applications can …
▪ gather and present work-related data
▪ raise awareness and trigger reflection during work
▪ motivate and remind employees to reflect
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Motivation
▪ MIRROR Apps support reflective learning at work …
▪ for individuals, teams, and organisations
▪ at different phases of the reflection process
▪ in different organizational settings
▪ General set-up of app-support in MIRROR
▪ single apps collect and visualize data regarding certainaspects of work
▪ MUP-App intends to …
▪ increase benefit by combining different data sources
▪ presents a broader view of work/life
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Research Questions
▪ RQ1: Are participants interested and willing to use more than one application in parallel with regard to reflective learning?
▪ RQ2: Does the MUP App as overlapping application facilitate reflection about users' working experiences and contribute to raising awareness of multiple aspects of their work life?
▪ RQ3: Do participants perceive any individual insights or benefits for themselves?
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
MoodMap App(http://moodmapapp.com)
▪ UP: mood data
▪ Valence: positiv -negative feelings
▪ Arousal: low - high energy
▪ Notes + Context
▪ Timestamp
▪ Development with
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
KnowSelf(http://www.know-center.at/knowself/)
▪ UP: KnowSelf data:
▪ Used applications
▪ Used resources
▪ Duration of usage
▪ Timestamp
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Goal: Application Overlapping User Profiles
App
Aggregated
data
App
App
App
App
App
App
App data
App
MSF
MUP App
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Prerequisites and assumptions for MUP
▪ Data:
▪ About the user, private data and shared data;
▪ User: full control about own data
▪ Reusability:
▪ Predefined data format;
▪ Apps: reuse own data and data from other apps
▪ Sharing:
▪ Relevant for comparison
▪ Different levels of sharing (e.g. colleagues or team)
▪ Privacy & Security▪ Defined by & in full control of the user through settings UI
▪ Aggeragtions and visualisations conform user‘s settings
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
High level tasks of MUP
▪ Task 1: Data retrieval
▪ Access and fetch data captured in the underlying datastorage system (MIRROR Spaces Framework)
▪ Task 2: Aggregation and visualisation of data
▪ Data aggregation service: ▪ Multi-user, cross-application
▪ Visualisation of data
▪ Present data to trigger reflection▪ Individual and/or collaborative level
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Goal: Application Overlapping User Profiles
KS & MMA
data
MSF
MUP App
MAA
KnowSelf
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
First Approach
▪ Combine different application data
▪ Find out relationship between data e.g. mood andworking patterns
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Proof of concept: Setting
▪ 6 knowledge workers (3 women, 3 men)
▪ MoodMap App & KnowSelf
▪ Usage for 2 weeks in parallel
▪ Tasks (daily reminder):
▪ Re-evaluate and reflect about data
▪ Write down insights
▪ Evaluation Tools
▪ Online-Questionnaire▪ About features, functionality, usage, and reflective learning
▪ Interviews: ▪ Presentation of combined statistics
▪ Questions about insights and benefits
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Proof of Concept: Results
▪ Relationship between mood (valence and energy), app usage, and working activities
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Proof of Concept: Results
▪ RQ1: Are participants interested and willing to use more than one application in parallel with regard to reflective learning?
▪ Interest in getting support for time management (Md=4.0)
▪ Interest in capturing working activities, own mood and teammood (Md = 3.5)
▪ Participants (all Md = 4.0)▪ found the applications easy to use
▪ liked the visualisations
▪ rated the presentation of information as comprehensible
▪ Source: Questionnaires, 5 pt. agreement scale
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Proof of Concept: Results
▪ RQ2: Does the overlapping MUP App facilitate reflection and raise awareness of how different aspects of their work life could be related?
▪ Combination of data can foster reflection by, e.g. :
▪ Compare number of applications used and arousal development
▪ Reveal working patterns
▪ Reveal relationship between activities and mood
▪ Trigger to reflect on own and teams
▪ Arousal level is low in the morning but increases during the day
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Proof of Concept: Results
▪ RQ3: Do participants perceive any individual insights or benefits for themselves?
▪ Fluctuation of the arousal and valence level
▪ Falling arousal -> small breaks to recover
▪ Self-estimation about working day
▪ Confirmation of some aspects of users‘ self-estimation, but also …
▪ Surprise: six – seven hours in the office, only four hours in front of the computer
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
General Discussion
▪ MUP has potential to
▪ facilitate individual reflective learning
▪ raise overall awareness of users‘ work life
▪ give insights about the relationship between workingactivities and mood
▪ All participants gained individual insights
▪ Automatic data capturing (KS) vs. manual moodcapturing (MMA)
▪ Time for reflection
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
© MIRROR Project - Co-Funded by EU IST FP7 – www.mirror-project.eu
Future Work
▪ Comprehensiveevaluation
▪ Add more applications
▪ Add more combinedsophisticatedvisualisations
▪ Derive more triggers forreflection
▪ Implement privacy andsecurity features
© MIRROR Project - Co-funded by EU IST FP7 - www.mirror-project.eu
http://www.mirror-project.eu
https://mirror-demo.eu/mup
More about MIRROR ...
Try out MUP at ... Angela Fessl, Gudrun Wesiak, Granit Luhznica{afessl, gwesiak, gluhznica} @ know-center.at
Know-Center GmbHInffeldgasse 13
8010 Graz