Should I Stay or Should I Go? Automated Vehicles in the Age of Climate Change

Shadan Sadeghian Borojeni, Alexander Meschtscherjakov, Bastian Pfleging, Birsen Donmez, Andreas Riener, Christian P. Janssen, Andrew L. Kun, Wendy Ju, Christian Remy, Philipp Wintersberger

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Will automated driving help or hurt our efforts to remedy climate change? The overall impact of transportation and mobility on the global ecosystem is clear: changes to that system can greatly affect climate outcomes. The design of mobility and automotive systems will influence key factors such as driving style, fuel choice, ride sharing, traffic patterns, and total mileage. However, to date, there are few research efforts that explicitly focus on these overlapping themes (automated driving & climate changes) within the HCI and AutomotiveUI communities. Our intention is to grow this community and awareness of the related problems. Specifically, in this workshop, we invite designers, researchers, and practitioners from the sustainable HCI, persuasive design, AutomotiveUI, and mobility communities to collaborate in finding ways to make future mobility more sustainable. Using embodied design improvisation and design fiction methods, we will explore the ways that systems affect behavior which then affect the environment.

Original languageEnglish
Title of host publicationCHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Chapter1–8
ISBN (Electronic)9781450368193
DOIs
Publication statusPublished - 25 Apr 2020
Event2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States
Duration: 25 Apr 202030 Apr 2020

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Country/TerritoryUnited States
CityHonolulu
Period25/04/2030/04/20

Funding

This work is supported under the FH-Impuls program of the German Federal Ministry of Education and Research (BMBF) under Grant Number 13FH7I01IA (SAFIR).

Keywords

  • Automated driving
  • Climate change
  • CO2 reduction
  • Collective optimization
  • Energy efficient driving
  • Future mobility

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