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Mind maps and causal models: using graphical representations of field research data
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Source Conference on Human Factors in Computing Systems archive
CHI '97 extended abstracts on Human factors in computing systems: looking to the future table of contents
Atlanta, Georgia
SESSION: Late-breaking/interactive posters table of contents
Pages: 265 - 266  
Year of Publication: 1997
ISBN:0-89791-926-2
Authors
David R. Millen  AT&T Labs, Murray Hill, NJ
Audrey Schriefer  AT&T Labs, Murray Hill, NJ
Diane Z. Lehder  AT&T Labs, Holmdel, NJ
Susan M. Dray  Dray & Associates, Minneapolis, MN
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

We recently completed a series of field visits to understand how workers use the Internet in their daily work activities. At each site, the team used traditional field research methods such as work observations, artifact walk-throughs, and contextual inquiry. An innovative debrief process was developed to understand, summarize and document each visit. In addition to a structured debrief questionnaire, the team created graphical summary notes using "mind maps." These mind maps efficiently captured a nonlinear, graphical clustering of key ideas. A "causal loop diagram" was also developed to document the team's understanding of the internal and external driving forces for each organization. Taken together, the debrief questionnaire, the mind maps, and the causal loop diagrams provided a rich multimedia representation of the field data.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Miles, M. & Huberman, A. Qualitative Data Analysis. Qualitative Data Analysis. California: Sage Publications. 1994.
 
2
Senge, P., Kleiner, A., Roberts, C., Ross, R., & Smith, B. The Fifth Discipline Fieldbook. New York: Doubleday, 1994.


Collaborative Colleagues:
David R. Millen: colleagues
Audrey Schriefer: colleagues
Diane Z. Lehder: colleagues
Susan M. Dray: colleagues