Advanced

Why don´t you express youself so that I can understand?

Ganzer, Gunnar and Kaushnyan, Anna (2010)
Department of Business Administration
Abstract
Purpose: Create an overall understanding of computers/software and cognitive science. We also want to investigate discrepancies in 4 particular software systems (The discrepancies are between human/computer and NOT between the computer systems). We also want to investigate if eventual discrepancies, or successes, in the programs might have a connection to the human cognition. Meaning; are these systems built in a way that suits the evolutionary cognitive mind? (I.e.: how the human brain/mind works). Finally, with the help of the four systems as practical examples, we wish to indicate the potential for further financial gain when designing software systems as a whole, using a cognitive approach. Methodology: Due to the difficulty in... (More)
Purpose: Create an overall understanding of computers/software and cognitive science. We also want to investigate discrepancies in 4 particular software systems (The discrepancies are between human/computer and NOT between the computer systems). We also want to investigate if eventual discrepancies, or successes, in the programs might have a connection to the human cognition. Meaning; are these systems built in a way that suits the evolutionary cognitive mind? (I.e.: how the human brain/mind works). Finally, with the help of the four systems as practical examples, we wish to indicate the potential for further financial gain when designing software systems as a whole, using a cognitive approach. Methodology: Due to the difficulty in extracting some of the confidential information, we had to write the thesis as an explorative adapted study, relying heavily on interviews, workshops and an explorative case study. The case being the Liverpool Museum project, researching children’s answers of a museum filed trip. We also chose to make two surveys of our own. These will be either added as appendixes, and/or described in the text. Theory: Main: Cognitive Science, focusing on the work by Dave Snowden. Supporting/explaining; Computational complexity, Web scraping, Artificial Intelligence (A.I.), Black Swan and Knowledge Management. Empirical foundation: Primary data consist of interviews, workshops and a survey of LinkedIn.com and Monster.com. Secondary data consists of scientific articles and information from the Internet and an investigation of two confidential search engines. Findings and Conclusions: The investigation of the four search systems illustrates that there is a software design aspect linked to cognitive science. More research is necessary before any clear conclusions can be made, but this thesis implied that a least a part of the investigated discrepancy is caused by neglect of the human cognition when developing software. This also indicates that there is a potential for efficiency impact in financial terms, if considering this in future software development. (Less)
Please use this url to cite or link to this publication:
author
Ganzer, Gunnar and Kaushnyan, Anna
supervisor
organization
year
type
H1 - Master's Degree (One Year)
subject
keywords
Search systems, discrepancy, cognitive science, Management of enterprises, Företagsledning, management
language
Swedish
id
1552113
date added to LUP
2010-01-22 00:00:00
date last changed
2012-04-02 17:56:04
@misc{1552113,
  abstract     = {Purpose: Create an overall understanding of computers/software and cognitive science. We also want to investigate discrepancies in 4 particular software systems (The discrepancies are between human/computer and NOT between the computer systems). We also want to investigate if eventual discrepancies, or successes, in the programs might have a connection to the human cognition. Meaning; are these systems built in a way that suits the evolutionary cognitive mind? (I.e.: how the human brain/mind works). Finally, with the help of the four systems as practical examples, we wish to indicate the potential for further financial gain when designing software systems as a whole, using a cognitive approach. Methodology: Due to the difficulty in extracting some of the confidential information, we had to write the thesis as an explorative adapted study, relying heavily on interviews, workshops and an explorative case study. The case being the Liverpool Museum project, researching children’s answers of a museum filed trip. We also chose to make two surveys of our own. These will be either added as appendixes, and/or described in the text. Theory: Main: Cognitive Science, focusing on the work by Dave Snowden. Supporting/explaining; Computational complexity, Web scraping, Artificial Intelligence (A.I.), Black Swan and Knowledge Management. Empirical foundation: Primary data consist of interviews, workshops and a survey of LinkedIn.com and Monster.com. Secondary data consists of scientific articles and information from the Internet and an investigation of two confidential search engines. Findings and Conclusions: The investigation of the four search systems illustrates that there is a software design aspect linked to cognitive science. More research is necessary before any clear conclusions can be made, but this thesis implied that a least a part of the investigated discrepancy is caused by neglect of the human cognition when developing software. This also indicates that there is a potential for efficiency impact in financial terms, if considering this in future software development.},
  author       = {Ganzer, Gunnar and Kaushnyan, Anna},
  keyword      = {Search systems,discrepancy,cognitive science,Management of enterprises,Företagsledning, management},
  language     = {swe},
  note         = {Student Paper},
  title        = {Why don´t you express youself so that I can understand?},
  year         = {2010},
}