IADIS International Journal on Computer Science and Information Systems

Published by IADIS (International Association for Development of the Information Society) • ISSN (Online): 1646-3692 • ISSN (Print): 1646-3692
100% Open Access
Double-Blind Peer Review
Crossref DOI Persistent IDs
Open Access Peer-Reviewed Foundational Models & Architectures

Modelling Selection Tasks and Assessing Performance in Web Interaction

Maxim Bakaev. Department of Economic Informatics *
Novosibirsk State Technical University *
Russia. Researcher *
* Tatiana Avdeenko. Department of Economic Informatics, Novosibirsk State Technical University, Russia. Hong-In Cheng. Department of Industrial & Management Engineering, Kyungsung University, Busan, Korea. (Portugal)
* Tatiana Avdeenko. Department of Economic Informatics, Novosibirsk State Technical University, Russia. Hong-In Cheng. Department of Industrial & Management Engineering, Kyungsung University, Busan, Korea. (Portugal)
* Tatiana Avdeenko. Department of Economic Informatics, Novosibirsk State Technical University, Russia. Hong-In Cheng. Department of Industrial & Management Engineering, Kyungsung University, Busan, Korea. (Portugal)

Abstract

The paper suggests a model for selection tasks that are widespread in modern interaction on the WWW, as well as the means to evaluate performance as hum an processor throughput. Selection tasks are considered the combination of choice and movement stages, which are traditionally modelled with Hick- Hyman and Fitts’ laws respectively. However, as the former seems to fall short in most real interactions, we propose the model based on visual search time (VST) instead. Search area size (S 0), sought element size (S) and the number of alternatives (N) were elected as primary factors for VST, although vocabulary size and number of search keys are also considered. In the result of experimentation with 28 subjects of different age groups, VST was suggested as the logarithm of the ratio between S 0 and S, with N not being significant. Index of selection difficulty (ID S) is proposed based on Fitts’ ID, as well as subsequent notion of selection throughput (TPS), whose mean value in the experimentation amounted to 12.6 bit/s. The models might assist in creating more usable web interfaces, justifying interface elements’ and blocks’ sizes and hierarchy and allowing the eval uation of various interface designs via selection tasks throughput performance measure.

Keywords

Fitts’ Law Hick-Hyman Law Model Human Processor Throughput.
Full-Text PDF Available

Read Complete Peer-Reviewed Manuscript

Includes full econometric models, data tables, policy recommendations, declarations, and citations.

Declarations & Ethics

Funding: This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest: The authors declare no competing financial or institutional interests.
Peer Review: Double-blind peer reviewed by international subject specialists.
License: Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Informatics, et al. (2012). Modelling Selection Tasks and Assessing Performance in Web Interaction. IADIS International Journal on Computer Science and Information Systems, 7(1). https://doi.org/10.33965/ijcsis_2012_v7i1_08
Informatics, et al. "Modelling Selection Tasks and Assessing Performance in Web Interaction." IADIS International Journal on Computer Science and Information Systems, vol. 7, no. 1, 2012. https://doi.org/10.33965/ijcsis_2012_v7i1_08
Informatics, et al. "Modelling Selection Tasks and Assessing Performance in Web Interaction." IADIS International Journal on Computer Science and Information Systems 7, no. 1 (2012). https://doi.org/10.33965/ijcsis_2012_v7i1_08