The aim of this study is to create and evaluate a grammar for a visual language, which is to be used in the medical domain. The grammar was created with gestalt laws in mind. The grammar must also fit, in part, with the ontology of the clinical terminology SNOMED CT. Evaluation was conducted with think aloud tests and with complementary semi-structured interviews. The participants overall believed that a complementary visual language for patient journals would be useful, and the majority understood the logic behind the grammar. Most complaints were about some of the pictograms in the icons of the grammar, which were unclear, and some requested a clear time axis to be included. Another suggestionwas to add pop-up boxes with more detailed information. This is only the first step in a big project and there is potential for many improvements - future development of this visual language should be done in iterations by teams of complementing competencies.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-139317 |
| Date | January 2017 |
| Creators | Jahic, Jasmina |
| Publisher | Linköpings universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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