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Meet-up 2019 | Doctorants & Industrie User-experience-focused design roadmapping: Applicaon to a Smart Autonomous Vehicle Cockpit Ilia IUSKEVICH 1,2 Marija JANKOVIC 2 , Andreas-Makoto HEIN 2 , Abdelkrim DOUFENE 1 Laboratoire Génie Industriel Université Paris-Saclay—CentraleSupelec Ilia Iuskevich—[email protected] 1 IRT SystemX, 91127 Palaiseau, France 2 Université Paris-Saclay—CentraleSupelec, 91190 Gif-sur-Yvee, France The accelerang technological progress rapidly changes the landscape of available design opons in the automove domain. Constant inno- vaons in the design and funconality of an increasingly autonomous vehicle drive the evoluon of the design of a cockpit. New product development (NPD) of Human-Machine Interface (HMI) is an ineral process which, at the same me, rests on technological and user-experience trends. Therefore, these trends need to be forecasted and NPD acvies should be planned in advance. CONTEXT REFERENCES 1. Kim, E., Beckman, S. L., & Agogino, A. (2018). Design Roadmapping in an Uncertain World: Implemenng a Customer-Experience-Focused Strategy. California Management Review, 61(1), 43-70. 2. Tuarob, S., & Tucker, C. S. (2015). Quanfying product favorability and extracng notable product features using large scale social media da- ta. Journal of Compung and Informaon Science in Engineering. 3. Quan, H., Li, S., Wei, H., & Hu, J. (2019). Personalized Product Evalua- on Based on GRA-TOPSIS and Kansei Engineering. Symmetry, 11(7), 867. Development of the methodology and tools aiming at the efficient management of the ineral NPD process in the VUCA environment 1 (volality, uncertainty, complexity and ambiguity) with special focus on user experience. This approach will include following elements: User-experience trend forecasng processes: user-generated content analysis 2 ; personalized product evaluaon 3 ; Technology trend forecasng; Product feature modeling OBJECTIVE UX forecasng Product modeling Technology forecasng Interior lighng; Human-machine Interface of an authonomous car CASE STUDIES Model-based Systems Engineering, Technology Roadmapping, Human Machine Interfaces, User experience, Autonomous car, New product development KEYWORDS

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Page 1: Meet up 2019 | Doctorants & Industrie · 2020. 1. 7. · Meet-up 2019 | Doctorants & Industrie User-experience-focused design roadmapping: Application to a Smart Autonomous Vehicle

Meet-up 2019 | Doctorants & Industrie

User-experience-focused design roadmapping: Application to a Smart Autonomous Vehicle Cockpit

Ilia IUSKEVICH1,2

Marija JANKOVIC2, Andreas-Makoto HEIN2, Abdelkrim DOUFENE1

Laboratoire Génie Industriel

Université Paris-Saclay—CentraleSupelec

Ilia Iuskevich—[email protected]

1 IRT SystemX, 91127 Palaiseau, France 2 Université Paris-Saclay—CentraleSupelec, 91190 Gif-sur-Yvette, France

The accelerating technological progress rapidly changes the landscape

of available design options in the automotive domain. Constant inno-

vations in the design and functionality of an increasingly autonomous

vehicle drive the evolution of the design of a cockpit.

New product development (NPD) of Human-Machine Interface (HMI) is

an inertial process which, at the same time, rests on technological and

user-experience trends. Therefore, these trends need to be forecasted

and NPD activities should be planned in advance.

CONTEXT

REFERENCES 1. Kim, E., Beckman, S. L., & Agogino, A. (2018). Design Roadmapping in

an Uncertain World: Implementing a Customer-Experience-Focused

Strategy. California Management Review, 61(1), 43-70.

2. Tuarob, S., & Tucker, C. S. (2015). Quantifying product favorability and

extracting notable product features using large scale social media da-

ta. Journal of Computing and Information Science in Engineering.

3. Quan, H., Li, S., Wei, H., & Hu, J. (2019). Personalized Product Evalua-

tion Based on GRA-TOPSIS and Kansei Engineering. Symmetry, 11(7),

867.

Development of the methodology and tools aiming at the efficient

management of the inertial NPD process in the VUCA environment1

(volatility, uncertainty, complexity and ambiguity) with special focus on

user experience. This approach will include following elements:

User-experience trend forecasting processes: user-generated content analysis2; personalized product evaluation3;

Technology trend forecasting; Product feature modeling

OBJECTIVE

UX forecasting

Product modeling

Technology forecasting

Interior lighting;

Human-machine Interface of an authonomous car CASE STUDIES

Model-based Systems Engineering, Technology Roadmapping, Human

Machine Interfaces, User experience, Autonomous car, New product

development

KEYWORDS