LifeScope Methodology in Studying Everyday Life
tel. +358-505553380
http://www.vmwork.net
Work Psychology and Leadership, Department of Industrial Engineering and Management, Aalto University School of Science
RQ:How to study everyday life
in digital and multilocational mobile work?
Basic research settings
3
Crowd PlatformsIntermediariesMarket makers
ENABLING TECHNOLOGIESFOR RESEARCH
Digital technologies as enablers: MixedMedia Environments for different tasksand modes of working
(From Renate Fruchter 2009)
• Sensors, smart grid, sustainability and quantified self: smart phone with its embedded
sensors that can tell much more about your health,
fitness, movement and locations than you yourself.
• Big data, analytics, cloud. Data availability and
access have grown. According to Eric Schmidt,
Google's chief executive officer, the world creates 5
exabytes of data every two days. That is roughly the
same amount created between the dawn of civilization
and 2003.
Citizens
Working in Virtual Worlds
Collecting data from everyday life
Experiences and objective data from activities in physical, virtual, social and
mental spaces
Human activities Context
Goal and object
Tools in use
Subject’s mentalspace
Physicalspace
Virtual space Socialspace
Perceived
What are you doing?
(CASS-Q: open
question) tasks
What tools you use?
(CASS-Q: open question) list of
tools
How do you feel and what you think?(CASS-Q: ratings) wellbeing,
motivation, stress
Where are you just now?
(Calender, CASS-Q: open question, photo) tagged
places
What ICT tools
you use? (CASS-
Q: open
question) list
of apts &
devices, infra
With whom do youinteract?
(Cass-Q: open question)
contacts, socialnetwork,
organization
Sensed Task contents
Mood (MoodMetric:
GSR, hearth rate,
blood pressure,
etc.) Positive and
negative affects,
biofeedback
Conditions and
location (GPS,
ContextLogger3,
Narrative, external
sensors)
working
conditions, routes
Battery level,
signal level,
access, use
frequency (Log-
in data) use
frequency
Who are around?(Social sensors) f-
to-f interaction, conversational
dynamics, physical proximity
DerivedJob profiles,
staying,
moving
Indirectly via photo(Narrative)
State: Sleep/awake,
health condition,
stress level
Semantic places
(ContextLogger3,
IndoorAtlas)
Home / Work /
Customer / Public
space / Transport
Network quality, device operating trange, Indirectly via photograph
(CASS-Q) Off-and On-line
Alone, f-to-f
LIFESCOPE –Studying and Developing Health and Wellbeing with Mobile, Wearable and Mind Sensors
Behavioraland biodata
Experience data
Integration
Tools and application developers
• Usability and functionality of applications
Service providers
• Added services for healthcare, workplace and product design
Service feedback
knowledge Visualization
Citizens
• Visible and reflected understanding on everyday routines and well-being for transforming activities
Researchers
• Instruments for analyzing and modeling activities across contexts and processes
DEVELOPED BY
USED BY
For behavioral change in real life
Instruments for data collection by wearablesand mobile (examples)
MindWave Brain activity-> Attention FirstBeat HRV –> Stress
Beddit -> Sleep & recovery
Narrative camera -> LifeloggingPosition trackers -> Where activity takes place
CASS ->Customizablemobile queries
The Angel Sensor
(IndoorAtlas)
Wearable biosensors
Example: Measuring moods with Moodmetric ring
• Emotional intelligence development by understanding emotions and their causes.
• Measures autonomous nervous system signals, which can be used to understand emotional reactions-
• Increase productivity at work and reducing your stress levels.
• Improving your flexibility to deal with life’s challenges and maintaining better social relationships.
Potential health and wellbeingservice providers:
ETC…..
An online tool with mobile Apps:
Taltioni – a secure, Finnish Health Account
STEAMING HEALTH &HAPPINESS INNOVATION
Extensive Life Oy
Instruments and servicesfor feedback (examples)
Health Puzzle
Wellmo
Diabetes trends
Checkmylevel
Health Revolution
Motivade Oy
MS BandApple Watch
Gear S
Example: doing tasks in physical places
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How complex was your task?
Place, stress and creativity
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Did you feel stress? Did you feel creative?
My ’everyday’ stress
APPLICATION PROMISES
Example 1: Occupational healthcare
• One current occupational healthcare trend is to extend the work health to employees’ free time – a more holistic view.
• Sensors have appeared to measure, for example, sleep patterns, activities, and stress recovery.
• Smart devices allow collecting data also during free time, and from employees travelling or working regularly from multiple locations.
• By self-reflection employees can improve their well-being
Example 2: Workspace planning
• Experiences and feelings when using spaces. How to support work and creativity with spaces?
• Giving feedback to employees on energy use and reduce it.
• Savings in office costs by finding out what workplaces are used and what are underused by employees.
• Improvements in space use and task performance by finding out what tasks workers do and what needs they have in each space.
Example 3: People in a smart city
People moving and living in a city:
• What spaces and locations people use in a smart city?
• For what purpose different locations are used?
• What means of transportation people use when moving around?
• How people are socialized into a city life?
Challenges and needs
Dilemmas
• Ethicality: privacy, who owns the data
• Management control vs. self-reflection
• ”Belief” technology?
• Technology integration
• Usability, validity and realiability of technologies
DISCUSSION
MoreVartiainen, M. (2015) Virtual spaces as workplaces: working and leading in virtual worlds. In: Ropo, A., Salovaara, P., Sauer, E. & de Paoli, D. (Eds.) Leadership in Spaces and Places,
pp. 128-144. Cheltenham, UK: Edward Elgar Publishing.Gilson, L.L., Maynard, M.T., Jones Young, N.C., Vartiainen, M. & Hakonen, M. (2015) Virtual teams research: ten years, ten themes, and ten opportunities. Journal of Management
41, 5, 1313-1337.Andriessen, E. & Vartiainen, M. (Eds) (2006) Mobile Virtual Work – A New Paradigm? Heidelberg: Springer.Kokko, N., Vartiainen, M. & Lönnblad, J. (2007) Individual and collective competences in virtual project organizations. The Electronic Journal for Virtual Organizations and
Networks 8, March 2007, 28-52. Vartiainen, M., Hakonen, M., Koivisto, S., Mannonen, P., Nieminen, M.P., Ruohomäki V. & Vartola, A. (2007) Distributed and mobile work – places, people and technology.
Helsinki: Gaudeamus.Vartiainen, M. (2008) Facilitating Mobile and Virtual Work. In: Wangel, C. (Ed.) 21st Century Management, A Reference Handbook, Vol. II, pp. 348-360. Thousand Oaks, CA:
Sage.Vartiainen, M. & Andriessen, J.H.Erik (2008) Virtual team-working and collaboration technologies. In: Chmiel, N. (Ed.) An introduction to work and organizational psychology
– a European perspective, pp. 209-233. Oxford: Blackwell Publishing.Vartiainen, M. & Jahkola, O. (2013) Pros and cons of various ICT tools in global collaboration – a cross-case study. In: Yamamoto, S. (Ed.) Human interface and management of
information. Information and interaction for learning, culture, collaboration and business. pp. 391-400. 15th International Conference, HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013. Proceedings, Part III. Berlin, Heidenberg: Springer.
Verburg, R., Bosch-Sijtsema, P.M. & Vartiainen, M. (2013) Getting it done: Critical success factors for project managers in virtual work settings. International Journal of Project Management 31, 1, 68-79.
Hyrkkänen, U. & Vartiainen. M. (2012) Heart Rate Variability Measurements in Mobile Work. In: Eriksson-Backa, K., Luoma, A. & Krook, E. (Eds.) Exploring the Abyss of Inequalities. 4th International Conference on Well-Being in the Information Society, WIS 2012. Communication in Computer and Information Science 313, pp. 3-21. Heidelberg: Springer.
Bosch-Sijtsema, P.M., Fruchter, R., Vartiainen, M. & Ruohomäki, V. (2011) A framework to analyze knowledge work in distributed teams. Group & Organization Management 36, 3, 275-307.
Bosch-Sijtema, P., Fruchter, R., Vartiainen, M. & Ruohomäki, V. (2011) Challenging New Ways of Working for Remote Managers in Global Collaborative Work Environments. In: Kelliher, C. & Richardson, J. (Eds.) New ways of organizing work. Developments, Perspectives, and experiences, pp. 160-175. New York: Routledge.
Bosch-Sijtsema, P.M., Ruohomäki, V. & Vartiainen, M. (2010) Multi-locational knowledge workers in the office: Navigation, disturbances and effectiveness. New Technology, Work and Employment, 25, 3, 183-195.
Vartiainen, M. & Hyrkkänen, U. (2010) Changing Requirements and Mental Workload Factors in Mobile Multi-Locational Work. New Technology, Work and Employment 25, 2, 117-135.
Korpelainen, E., Kira, M. & Vartiainen, M. (2010) Self-Determined Adoption of an ICT System in a Work Organization. Journal of Organizational and End User Computing 22, 4, 51-69.
Andriessen, J.H. Erik & Vartiainen, M. (2009) Mobile virtual work in a globalising world. In: Battistelli, A. (Ed.) Innovation in the transformation of jobs and organizations, pp. 117-134. Roma: Di Renzo Editore.
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