Complexity overloaded in smart car: How to measure complexity of in-vehicle displays and controls?

Hwan Hwangbo; Seul Chan Lee; Yong Gu Ji

doi:10.1145/3004323.3004332

Complexity overloaded in smart car: How to measure complexity of in-vehicle displays and controls?

Hwan Hwangbo, Seul Chan Lee, Yong Gu Ji

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Advanced intelligent vehicle technologies provide various types of in-vehicle information to drivers. This phenomenon leads to increasing amount of the information, which intensify the complexity of in-vehicle interface. Extant literature in the field of human factors and automotive user interface research have mainly focused on in-vehicle single task performance while driving. Therefore, an integrative approach and framework to evaluate complexity of automotive HMI is still in need. With the aim of resolving this complexity issue, we established two models to quantify complexity of in-vehicle display and control system. We also addressed an integrative framework for evaluating in-vehicle interface complexity drawing on the established models.

Original language	English
Title of host publication	AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings
Publisher	Association for Computing Machinery, Inc
Pages	81-86
Number of pages	6
ISBN (Electronic)	9781450346542
DOIs	https://doi.org/10.1145/3004323.3004332
Publication status	Published - 2016 Oct 24
Event	8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2016 - Ann Arbor, United States Duration: 2016 Oct 24 → 2016 Oct 26

Publication series

Name	AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings

Other

Other	8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2016
Country/Territory	United States
City	Ann Arbor
Period	16/10/24 → 16/10/26

Bibliographical note

Funding Information:
This work was supported by Mid-career Researcher Program through NRF grant funded by the MSIP (Ministry of Science, ICT and Future Planning) (Grant-# NRF-2013R1A2A2A03014150).

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Automotive Engineering
Human-Computer Interaction

Access to Document

10.1145/3004323.3004332

Cite this

Hwangbo, H., Lee, S. C., & Ji, Y. G. (2016). Complexity overloaded in smart car: How to measure complexity of in-vehicle displays and controls? In AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings (pp. 81-86). (AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings). Association for Computing Machinery, Inc. https://doi.org/10.1145/3004323.3004332

Hwangbo, Hwan ; Lee, Seul Chan ; Ji, Yong Gu. / Complexity overloaded in smart car : How to measure complexity of in-vehicle displays and controls?. AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings. Association for Computing Machinery, Inc, 2016. pp. 81-86 (AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings).

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title = "Complexity overloaded in smart car: How to measure complexity of in-vehicle displays and controls?",

abstract = "Advanced intelligent vehicle technologies provide various types of in-vehicle information to drivers. This phenomenon leads to increasing amount of the information, which intensify the complexity of in-vehicle interface. Extant literature in the field of human factors and automotive user interface research have mainly focused on in-vehicle single task performance while driving. Therefore, an integrative approach and framework to evaluate complexity of automotive HMI is still in need. With the aim of resolving this complexity issue, we established two models to quantify complexity of in-vehicle display and control system. We also addressed an integrative framework for evaluating in-vehicle interface complexity drawing on the established models.",

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note = "Funding Information: This work was supported by Mid-career Researcher Program through NRF grant funded by the MSIP (Ministry of Science, ICT and Future Planning) (Grant-# NRF-2013R1A2A2A03014150).; 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2016 ; Conference date: 24-10-2016 Through 26-10-2016",

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Hwangbo, H, Lee, SC & Ji, YG 2016, Complexity overloaded in smart car: How to measure complexity of in-vehicle displays and controls? in AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings. AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings, Association for Computing Machinery, Inc, pp. 81-86, 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2016, Ann Arbor, United States, 16/10/24. https://doi.org/10.1145/3004323.3004332

Complexity overloaded in smart car: How to measure complexity of in-vehicle displays and controls? / Hwangbo, Hwan; Lee, Seul Chan; Ji, Yong Gu.
AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings. Association for Computing Machinery, Inc, 2016. p. 81-86 (AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N1 - Funding Information: This work was supported by Mid-career Researcher Program through NRF grant funded by the MSIP (Ministry of Science, ICT and Future Planning) (Grant-# NRF-2013R1A2A2A03014150).

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N2 - Advanced intelligent vehicle technologies provide various types of in-vehicle information to drivers. This phenomenon leads to increasing amount of the information, which intensify the complexity of in-vehicle interface. Extant literature in the field of human factors and automotive user interface research have mainly focused on in-vehicle single task performance while driving. Therefore, an integrative approach and framework to evaluate complexity of automotive HMI is still in need. With the aim of resolving this complexity issue, we established two models to quantify complexity of in-vehicle display and control system. We also addressed an integrative framework for evaluating in-vehicle interface complexity drawing on the established models.

AB - Advanced intelligent vehicle technologies provide various types of in-vehicle information to drivers. This phenomenon leads to increasing amount of the information, which intensify the complexity of in-vehicle interface. Extant literature in the field of human factors and automotive user interface research have mainly focused on in-vehicle single task performance while driving. Therefore, an integrative approach and framework to evaluate complexity of automotive HMI is still in need. With the aim of resolving this complexity issue, we established two models to quantify complexity of in-vehicle display and control system. We also addressed an integrative framework for evaluating in-vehicle interface complexity drawing on the established models.

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Hwangbo H, Lee SC, Ji YG. Complexity overloaded in smart car: How to measure complexity of in-vehicle displays and controls? In AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings. Association for Computing Machinery, Inc. 2016. p. 81-86. (AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings). doi: 10.1145/3004323.3004332

Complexity overloaded in smart car: How to measure complexity of in-vehicle displays and controls?

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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