A Sensemaking Interface
for Doctors’ Learning at Work:
A Co-Design Study Using a Paper Prototype
Vladimir Tomberg, Mohamma...
Learning at the Workplace
• No time to reflect
• No time to learn about experiences
• High workload of general practitione...
Supporting Sensemaking in Informal
Learning
• Informal learning is episodic in nature
• Episodes of learning experiences a...
A Design for Supporting Memory
Retrieval and Sensemaking
• The main support mechanisms in the episodic
and semantic memory...
Timeline for Episodic and Sorting for
Semantic Memory
Map for Episodic and Layered Model
for Semantic Memory
Tag Cloud for Episodic and Concept
Map for Semantic Memory
Participatory Co-design Using a Paper
Prototype
• The paper prototype has been used in a series
of co-design meetings over...
Functionality that was considered to
be particularly useful
• The timeline view
• The collections
visualization
• The tag ...
Possible Risks Found
• Participants would not
do anything else with
the material. For this
reason they suggested
that one ...
Conclusion
• The general architecture of the interface is
perceived to be effective
• Healthcare professionals prefer time...
Future Work
• To investigate the important collaborative aspects
which have come out from the initial feedback:
– providin...
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Sensemaking workshop

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Presentation for the Workshop on Collaborative Technologies for Working and Learning (EC-TEL meets ECSCW) at 21 September 2013, Paphos (Cyprus)

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Sensemaking workshop

  1. 1. A Sensemaking Interface for Doctors’ Learning at Work: A Co-Design Study Using a Paper Prototype Vladimir Tomberg, Mohammad Al-Smadi, Tamsin Treasure-Jones, Tobias Ley
  2. 2. Learning at the Workplace • No time to reflect • No time to learn about experiences • High workload of general practitioners • A lot of the valuable experiences get lost, if the doctors are not remembered or reflected upon
  3. 3. Supporting Sensemaking in Informal Learning • Informal learning is episodic in nature • Episodes of learning experiences are stored in episodic memory • Mental categorization requires: – foraging (information seeking, finding, and collecting) – sensemaking (building representations and interpreting information) • Up-to-date systems do not focus on retrieving experiences from episodic memory
  4. 4. A Design for Supporting Memory Retrieval and Sensemaking • The main support mechanisms in the episodic and semantic memory systems need to be considered • Contextual cues (time, place, tags) need to be represented in the interface to access past episodes from episodic memory • Categorization and enrichment happen in semantic memory in which the episodes are connected
  5. 5. Timeline for Episodic and Sorting for Semantic Memory
  6. 6. Map for Episodic and Layered Model for Semantic Memory
  7. 7. Tag Cloud for Episodic and Concept Map for Semantic Memory
  8. 8. Participatory Co-design Using a Paper Prototype • The paper prototype has been used in a series of co-design meetings over several months in order to generate and validate initial ideas • The series have been held with clinical staff from two medical practices: 2 GPs and 2 Diabetic Specialist Nurses (DSN) and 2 Health Care Assistants (HCA)
  9. 9. Functionality that was considered to be particularly useful • The timeline view • The collections visualization • The tag cloud view • The links view. • Participants saw the tool as offering support at both an individual and organizational level
  10. 10. Possible Risks Found • Participants would not do anything else with the material. For this reason they suggested that one should be prompted to identify actions/tasks for themselves (and colleagues) related to the material/bits they are working with
  11. 11. Conclusion • The general architecture of the interface is perceived to be effective • Healthcare professionals prefer time and topic cues rather than location cues • The suggestion for reminders also suggests that memory processes offer a suitable conceptualization for their informal learning needs
  12. 12. Future Work • To investigate the important collaborative aspects which have come out from the initial feedback: – providing agreed categories and structures – visualizing tags others have used – sharing material and sensemaking tasks with colleagues • We will particularly focus on how this collective knowledge influences individual sensemaking

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