AHFE Open AccessDevelopment of Visual Complexity Model Framework in Driving Context
Open Access
Article
Conference Proceedings
Authors: Seul Chan Lee, Ji Man Kim, Hwan Hwangbo, Yong Gu Ji
Abstract
Recently, in-vehicle environments have become smart environment with advances in IT technology. The vehicle is no longer just a means of transportation but gets the nature of information system. Therefore, in order to convey more information than in the past, a variety of displays are set up in vehicle. The object of this study is to develop visual complexity model framework for evaluating system interface. To accomplish this, we reviewed the literature about complexity measures in terms of Human-Machine Interaction and analyzed the characteristics of in-vehicle environment characteristics. Then we suggest visual complexity model framework.
Keywords: Visual complexity, Human-Machine Interaction, IVIS
DOI: 10.54941/ahfe100587
Cite this paper
Downloads
992
Visits
1316
More from this volume
← A Study on the Behavioral Characteristics of the Elderly Living in a Smart HomeCognitive and Affective UI for Enhanced Usability →
- Transforming Physiological Data from a Generic Sensor to a Specialised One for Affect Detection
- Imitated Mind Uploading by Using Electroencephalography
- Someone to Talk To
- Exploring the Innovation Application of Web Camera Based on Business Models - Taking Parent-Baby Communication as an Example
- Effect of Age on Superimposition of Head-Up Display
- Evaluation of Kawaii Size by Measuring ECG
- Physiological Responses Caused by Kawaii Feeling in Watching Photos
- The Role of the Designer in the Affective Design Process: the Principle of Accordance
- Measurement Magic to Deliver Hair Beauty
- Emotion and Interface Design
- Description of Subjective Impression for the Service Experience
- The Elderly’s Text Entry on Smart Phones and Tablets: Challenges and Implications