research-article

Analysis of Effects of Interaction Modes on IVIS Based on Sensory Information Recognition

Authors:

Hao Yang,

Ying ZhaoAuthors Info & Claims

BDIOT '18: Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things

Pages 198 - 202

https://doi.org/10.1145/3289430.3289452

Published: 24 October 2018 Publication History

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Abstract

The design of in-vehicle information system (IVIS) has become the core of autobiles' human-machine interaction interface. From touching screen interaction to voice or gesture recognition, the influence of different interaction modes is an important research field. Based on the principle of Kansei Engineering, the study collected data of a large sample and conducted factor analysis for these interaction modes. The aim is to find out potential factors behind them and identify the representative interaction modes by the size of factor loadings. By means of multiple regression equation, the representative modes' influence on driving experience and the significance level are clarified.

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Cited By

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Lal KLekhraj (2024)Automatic multimedia classification based on mood recognition of drivers in Internet-of-vehicle using fog computingWireless Networks10.1007/s11276-024-03872-5Online publication date: 16-Nov-2024
https://doi.org/10.1007/s11276-024-03872-5
Yang HZhang JJia R(2021)A Study for Evaluations of Automobile Digital Dashboard Layouts Based on Cognition ElectroencephalogramCross-Cultural Design. Applications in Cultural Heritage, Tourism, Autonomous Vehicles, and Intelligent Agents10.1007/978-3-030-77080-8_23(281-295)Online publication date: 3-Jul-2021
https://doi.org/10.1007/978-3-030-77080-8_23
Yang HZhao YWang Y(2019)Identifying modeling forms of instrument panel system in intelligent shared cars: a study for perceptual preference and in-vehicle behaviorsEnvironmental Science and Pollution Research10.1007/s11356-019-07001-027:1(1009-1023)Online publication date: 9-Dec-2019
https://doi.org/10.1007/s11356-019-07001-0

Index Terms

Analysis of Effects of Interaction Modes on IVIS Based on Sensory Information Recognition
1. Applied computing
  1. Operations research
    1. Transportation

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Published In

BDIOT '18: Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things

October 2018

217 pages

ISBN:9781450365192

DOI:10.1145/3289430

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 October 2018

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BDIOT 2018: 2018 2nd International Conference on Big Data and Internet of Things

October 24 - 26, 2018

Beijing, China

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Lal KLekhraj (2024)Automatic multimedia classification based on mood recognition of drivers in Internet-of-vehicle using fog computingWireless Networks10.1007/s11276-024-03872-5Online publication date: 16-Nov-2024
https://doi.org/10.1007/s11276-024-03872-5
Yang HZhang JJia R(2021)A Study for Evaluations of Automobile Digital Dashboard Layouts Based on Cognition ElectroencephalogramCross-Cultural Design. Applications in Cultural Heritage, Tourism, Autonomous Vehicles, and Intelligent Agents10.1007/978-3-030-77080-8_23(281-295)Online publication date: 3-Jul-2021
https://doi.org/10.1007/978-3-030-77080-8_23
Yang HZhao YWang Y(2019)Identifying modeling forms of instrument panel system in intelligent shared cars: a study for perceptual preference and in-vehicle behaviorsEnvironmental Science and Pollution Research10.1007/s11356-019-07001-027:1(1009-1023)Online publication date: 9-Dec-2019
https://doi.org/10.1007/s11356-019-07001-0

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In-Vehicle Touchscreen Interaction: Can a Head-Down Display Give a Heads-Up on Obstacles on the Road?

Exploring factors influencing multitasking interaction with multiple smart devices

Do users desire gestures for in-vehicle interaction? Towards the subjective assessment of gestures in a high-fidelity driving simulator

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