Digitala Vetenskapliga Arkivet

Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
DESIGNING A HUMAN CENTERED INTERFACE FOR A NOVEL AGRICULTURAL MULTI-AGENT CONTROL SYSTM
Mälardalen University, School of Innovation, Design and Engineering.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The subject of this report is the Command and Control (CaCS) system which is a component whose purpose is to simplify planning, scheduling and surveying work done on a farm in a goal-oriented way. CaCS is part of a larger project, the Aggregate Farming in the Cloud platform (AFarCloud),whose purpose is to simplify the use of contemporary technology to increase the efficiency of farms. AFarCloud is an EU project spanning between 2018 to 2020 and as such, the CaCS is in its infancy. Since the intended users of AFarCloud and CaCS is small to medium sized agricultural businesses,the interface of the CaCS should be constructed in such a way that it is useful and easy to learn. In order to live up to those standards, a combination of live interviews, prototype evaluationsand a comparison with similar software were performed and then compared with the International Standard document on Human-Centered Design for Interactive Systems (ISO 9241-210). The results indicate that a modular interface, where only the information relevant for the unique user’s farm is displayed, is preferable in order to increase the usability of the CaCS. Furthermore, useof icons and explanatory text must be made in consideration of the mental models of the users in order to improve learnability and avoid confusion.

Place, publisher, year, edition, pages
2019. , p. 54
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-44608OAI: oai:DiVA.org:mdh-44608DiVA, id: diva2:1330348
Subject / course
Computer Science
Presentation
2019-06-11, 09:15 (English)
Supervisors
Examiners
Available from: 2019-09-18 Created: 2019-06-25 Last updated: 2019-09-18Bibliographically approved

Open Access in DiVA

Farming_multi-agent_UI(7214 kB)658 downloads
File information
File name FULLTEXT01.pdfFile size 7214 kBChecksum SHA-512
cd21f801955db339750547eea700c251406f8ced8fd8e2224683dec5a84b273a080513ba97410a6b4e5f551d75fdfa425e356c5e48359c225a58d009c45e5235
Type fulltextMimetype application/pdf

By organisation
School of Innovation, Design and Engineering
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 658 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 502 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf