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Supporting ethical problem solving: an exploratory investigation
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Source Special Interest Group on Computer Personnel Research Annual Conference archive
Proceedings of the 2004 SIGMIS conference on Computer personnel research: Careers, culture, and ethics in a networked environment table of contents
Tucson, AZ, USA
SESSION: Panel on ethics table of contents
Pages: 134 - 143  
Year of Publication: 2004
ISBN:1-58113-847-4
Authors
Russell W. Robbins  Rensselaer Polytechnic Institute, Troy, NY
William A. Wallace  Rensselaer Polytechnic Institute, Troy, NY
Bill Puka  Rensselaer Polytechnic Institute, Troy, NY
Sponsors
SIGMIS: ACM Special Interest Group on Management Information Systems
ACM: Association for Computing Machinery
SIGCPR: ACM Special Interest Group on Computer Personnel Research
Publisher
ACM  New York, NY, USA
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ABSTRACT

The objective of this research was to investigate the use of decision aid technologies to support ethical problem solving. The decision aid developed for the exploratory study described in this paper was web-based and provided content that summarized and simplified much of moral philosophy (i.e. normative ethical theory) [3, 5, 11, 13, 18, 24, 26]. The ethical dilemma was posed in case format. Participants were asked to write, and revise as necessary, a solution to the case. The decision aid was developed to address five constructs in the research model: (1) Perceived Ethical Problem, (2) Perceived Alternatives, (3) Deontological Evaluation, (4) Teleological Evaluation, and (5) an Ethic of Care. Results from analysis showed that participants that used the decision aid identified the case's main issue, personal information privacy, more frequently than participants that did not use the decision aid. Individuals with support of the decision aid discussed the need to respect equal individual rights more often. Mixed results were found concerning use of other concepts from moral philosophy. An analysis technique was used that generated and statistically analyzed graphs that described how users navigated through decision problems. First, the participants' movements were captured as they went from page to page. These data were then used to construct depth-first-search trees (a particular type of graph). Characteristics of these trees were compared statistically, and the results showed no difference in the way control or treatment users navigated. Web-based ethical decision aids can be built and used, and can improve the solutions developed by students solving cases in a laboratory environment.


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.

 
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Collaborative Colleagues:
Russell W. Robbins: colleagues
William A. Wallace: colleagues
Bill Puka: colleagues

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