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master's thesis
Model prediktivnog vrednovanja učinkovitosti crtanja krivulja pokaznom napravom
2021. urn:nbn:hr:190:105893
Napravnik, Mateja
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Intelligent Computing Systems

Cite this document

Napravnik, M. (2021). Model prediktivnog vrednovanja učinkovitosti crtanja krivulja pokaznom napravom (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:105893

Napravnik, Mateja. "Model prediktivnog vrednovanja učinkovitosti crtanja krivulja pokaznom napravom." Master's thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:105893

Napravnik, Mateja. "Model prediktivnog vrednovanja učinkovitosti crtanja krivulja pokaznom napravom." Master's thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:105893

Napravnik, M. (2021). 'Model prediktivnog vrednovanja učinkovitosti crtanja krivulja pokaznom napravom', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 11 September 2024, https://urn.nsk.hr/urn:nbn:hr:190:105893

Napravnik M. Model prediktivnog vrednovanja učinkovitosti crtanja krivulja pokaznom napravom [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2021 [cited 2024 September 11] Available at: https://urn.nsk.hr/urn:nbn:hr:190:105893

M. Napravnik, "Model prediktivnog vrednovanja učinkovitosti crtanja krivulja pokaznom napravom", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:190:105893

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Metadata
TitleModel prediktivnog vrednovanja učinkovitosti crtanja krivulja pokaznom napravom
Title (english)Model for Predictive Evaluation of Efficiency of Curve Drawing by a Pointing Device
AuthorMateja Napravnik
MentorSandi Ljubić (mentor)
Committee memberIvan Štajduhar (predsjednik povjerenstva)
Committee memberSandi Ljubić (član povjerenstva)
Committee memberGoran Mauša (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Intelligent Computing Systems)
Rijeka
Defense date and country2021-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U području interakcije čovjeka i računala, pored akcije pokazivanja-i-odabira, često se formaliziraju i zadaci koji uključuju izvođenje neke zakrivljene trajektorije odnosno usmjeravanje pokazivača odgovarajućim tunelom. Uz motivacijsko uporište u Fittsovom zakonu, a s obzirom na specifičnosti zadatka crtanja krivulja, u radu je predložen i adekvatno argumentiran model za izračun težine zadatka i procjenu vremena potrebnog za izvršavanje takvog zadatka. Na temelju teorijskih osnova predloženog prediktivnog modela, proveden je HCI eksperiment s ciljem izlučivanja konkretnih inačica modela i metrika propusnosti za dvije različite pokazne naprave – miša i grafički tablet. Dodatno, provedena je i odgovarajuća provjera valjanosti modela, također zasnovana na eksperimentalnim zadacima sa stvarnim korisnicima. Pokazano je kako predloženi model predviđa vrijeme izvođenja zakrivljene trajektorije uz metriku pogreške RMSPE s najvećom vrijednošću 10.61%.
Abstract (english)
In the field of Human-Computer Interaction (HCI), in addition to point-and-select actions, steering tasks are often formalized, which include performing a curved trajectory, i.e. steering the cursor through the corresponding tunnel. Along the motivational basis in Fitts’ law, and given the specifics of the curve drawing task, this thesis proposes and argues a model for calculating the index of difficulty of the task and estimating the time required to perform such a task. Based on the theoretical foundations of the proposed predictive model, the HCI experiment was conducted in order to extract specific versions of the model and throughput metrics for two different pointing devices – a mouse and a graphics tablet. In addition, an appropriate model validation was carried out, also based on experimental tasks with real users. It is shown that the proposed model predicts the curve drawing time with RMSP E error metric with a maximum value of 10.61%.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:105893
Study programmeTitle: Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-10-11 12:13:18