• Home
  • Search
  • Complexity assessment of human–computer interaction
  • Cite Icon14
  • https://doi.org/10.1080/14639220802609903Copy DOI Icon

Complexity assessment of human–computer interaction

Show More
  • Abstract
  • Literature Map
  • References
  • Citations
  • Similar Papers
Abstract

A quantitative complexity theory of human–computer interaction is presented and validated by means of laboratory experiments. Based on the seminal work of Grassberger in theoretical physics, a complexity measure is introduced. The measure is termed the Effective Measure Complexity and has three main advantages. First, it relies solely on information-theoretic quantities, which are intimately connected with the concept of complexity and not randomness. Second, it is model independent and can be estimated efficiently from data. Third, the estimates can be derived from behavioural patterns in terms of observable interaction events alone. Subjective ratings or psychophysiological measurements can be included but are not mandatory. In order to explain the theory, a simple and easy to generalise example in mobile human–computer interaction is presented. Furthermore, the external validity of the complexity measure is studied in laboratory experiments. The experimental task was to search for multiple targets on an electronic chart display and information system (ECDIS). ECDIS is an integral component of modern ship bridge concepts and therefore the experiments were carried out in a marine simulator. Thirty users participated. The platform motion (with or without motion) and the workplace illumination (800 lux or 30 lux) were varied systematically and the complexity effects were studied. The results show that the complexity of the visual search processes is significantly lower when the simulator is put in sea state characteristics and the users are facing straining motion forces. In addition, interaction complexity is significantly lowered when illuminance is reduced from the daylight level of 800 lux to the twilight level of 30 lux. Therefore, the complexity measure seems to be a valid for the quantitative assessment of human–computer interaction.

Similar Papers
  • Book Chapter
  • Citations9

Observations on ECDIS Education and Training

  • Jul 14, 2017
  • D Brčić +2
  • Research Article
  • Citations18

ECDIS transitional period completion: analyses, observations and findings

  • Jun 01, 2019
  • WMU Journal of Maritime Affairs
  • David Brčić +3
  • PDF
  • Research Article
  • Citations13

The Navigator’s Aspect of PNC before and after ECDIS Implementation: Facts and Potential Implications towards Navigation Safety Improvement

  • Oct 26, 2020
  • Journal of Marine Science and Engineering
  • Maro Car +3
  • Research Article

Improving Navigational Safety: the Electronic Chart Display and Information System

  • Mar 01, 1995
  • Maritime Studies
  • J.W Leech
  • Conference Article
  • Citations1

ENC production and distribution in the hydrographic institute of the Republic of Croatia

  • Jan 01, 2005
  • T.D Leder
  • PDF
  • Research Article
  • Citations21

Electronic Navigational Charts: International Standards and Map Projections

  • Apr 03, 2020
  • Journal of Marine Science and Engineering
  • Athanasios Palikaris +1
  • Research Article

From Paper to Digital: The Impact and Hidden Challenges of Mandatory ECDIS on Maritime Safety and Seafarer Practice

  • Jan 01, 2025
  • TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation
  • Nermin Hasanspahic +3
  • Research Article
  • Citations2

Contribution to ECDIS Reliability using Markov Model

  • Oct 21, 2014
  • Transactions on Maritime Science
  • Dean Sumić +2
  • Research Article

A Fair Concern about ECDIS

  • Jun 28, 2023
  • Pedagogika-Pedagogy
  • Nikolay Sozonov +1
  • Conference Article
  • Citations4

Development of the Integrated Target Information System of the Marine Radar and AIS Based on ECDIS

  • Sep 01, 2009
  • Changchuan Lin +4
  • Research Article
  • Citations6

Automatic generation of water route based on AIS big data and ECDIS

  • Mar 01, 2021
  • Arabian Journal of Geosciences
  • Yongzhi Hao +2
  • Research Article
  • Citations2

Digital charting: a Royal Navy navigator's view

  • Jan 01, 1997
  • IEE Proceedings - Radar, Sonar and Navigation
  • M.A Hadley
  • Research Article
  • Citations1

Addressing the issue of data quality symbology in marine cartography

  • Nov 12, 2025
  • International Journal of Cartography
  • Christos Kastrisios +1
  • Research Article
  • Citations79

Maritime Cyber Risk Management: An Experimental Ship Assessment

  • Feb 07, 2019
  • Journal of Navigation
  • Boris Svilicic +3
  • Book Chapter
  • Citations4

Exploring Historical Maritime Cyber-Attacks and Introducing Maritime Security Operations Center as a Solution to Mitigate Them

  • Nov 28, 2024
  • Ahmed Nagi Nasr +3
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.