Human-Computer Interaction

INTERACT 2015: Human-Computer Interaction – INTERACT 2015 pp 105-122

Revealing Differences in Designers’ and Users’ Perspectives

A Tool-Supported Process for Visual Attention Prediction for Designing HMIs for Maritime Monitoring Tasks
Conference paper

DOI: 10.1007/978-3-319-22723-8_9

Volume 9299 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Feuerstack S., Wortelen B. (2015) Revealing Differences in Designers’ and Users’ Perspectives. In: Abascal J., Barbosa S., Fetter M., Gross T., Palanque P., Winckler M. (eds) Human-Computer Interaction – INTERACT 2015. INTERACT 2015. Lecture Notes in Computer Science, vol 9299. Springer, Cham

Abstract

Monitoring complex systems includes scanning, aggregating and processing data from various sources. The design of graphical interfaces for monitoring tasks involves a fine-grained exploration of the importance and expected frequency of events that an operator needs to be informed about.

The Human Efficiency Evaluator is a tool for the prediction of human behavior. We extended it to predict the distribution of operator’s attention while monitoring interfaces. The prediction is based on the SEEV model. We show that our tool can be used by experts with different backgrounds to generate predictions following a structured, semi-automated process.

In a qualitative study with subject matter experts, we analyzed different HMI designs for a navigation task in the maritime domain. We evaluated their modeling time, tested different prediction result visualizations, and investigated in the model differences between the subjects. Different to what we originally expected, the study revealed that the models created by the subjects substantially differ depending on their perspectives. Heat maps visualizing the predicted attention allocation were appreciated by the subjects and enabled them to argue about their perspective.

Keywords

Visual attention HMI analysis Monitoring task 

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  1. 1.OFFIS – Institute for Information TechnologyOldenburgGermany