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1. Automated Vehicles as a Space for Work & Wellbeing

   https://doi.org/10.1145/3411763.3445012  

   Pfleging, Bastian; Kun, Andrew L.; Shaer, Orit (May 2021, CHI ’21 Extended Abstracts)

   null (Ed.)

   The objective of this CHI course is to provide CHI attendees with an introduction and overview of the rapidly evolving feld of auto- motive user interfaces (AutomotiveUI). The course will focus on UI aspects in the transition towards automated driving. In particular, we will also discuss the opportunities of cars as a new space for non-driving-related activities, such as work, relaxation, and play. For newcomers and experts of other HCI felds, we will present the special properties of this feld of HCI and provide an overview of new opportunities, but also general design and evaluation aspects of novel automotive user interfaces. 

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2. Evaluating Automotive Augmented Reality Head-up Display Effects on Driver Performance and Distraction

   https://doi.org/10.1109/VRW50115.2020.00128  

   de Oliveira Faria, Nayara (March 2020, 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW))

   As the automotive industry progresses towards the car of the future, we have seen increasing interest using augmented reality (AR) head-up displays (HUD) in driving. AR HUDs provide a fundamentally new driving experience in which drivers still have to respond to both the road and the information provided by the system, creating the perfect atmosphere for potentially unsafe and distracting interfaces. As we start fielding and designing for new AR HUDs displays, the complexities of interface design and its impacts on driver performance must be further understood before AR HUDs can be broadly and safely incorporated into vehicles. Nevertheless, existing methods for assessing the usefulness of computer-based user interfaces may not be sufficiently rich to measure the overall impact of AR HUD interfaces on human performance. Therefore, in my Ph.D. research, I focus on developing and testing methods to evaluate AR HUDs' effects on driver distraction and performance. My primary goal is to assess glance allocation and visual capabilities of drivers with AR HUDs and apply this knowledge to inform new methods of AR HUD assessment that account for inattentional blindness and cognitive tunneling. 

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3. Access InContext: Futuring Accessible Prototyping Tools and Methods

   https://doi.org/10.1145/3706599.3706716  

   Piedade, Patricia; Hayton, Peter A; Bennett, Cynthia L; Carter, Anna_R L; Crivellaro, Clara; Dix, Alan; McGowan, Jess; Spiel, Katta; Sturdee, Miriam; Tigwell, Garreth W; et al (April 2025, ACM)

   The popularity of accessibility research has grown recently, improving digital inclusion for people with disabilities. However, researchers, including those who have disabilities, have attempted to include people with disabilities in all aspects of design, and they have identified a myriad of practical accessibility barriers posed by tools and methods leveraged by human-computer interaction (HCI) researchers during prototyping. To build a more inclusive technological landscape, we must question the effectiveness of existing prototyping tools and methods, repurpose/retrofit existing resources, and build new tools and methods to support the participation of both researchers and people with disabilities within the prototyping design process of novel technologies. This full-day workshop at CHI 2025 will provide a platform for HCI researchers, designers, and practitioners to discuss barriers and opportunities for creating accessible prototyping and promote hands-on ideation and fabrication exercises aimed at futuring accessible prototyping. 

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4. Automated Cars as Living Rooms and Offices: Challenges and Opportunities

   https://doi.org/10.1145/3334480.3381054  

   Schartmüller, Clemens; Sarcar, Sayan; Riener, Andreas; Kun, Andrew L.; Shaer, Orit; Boyle, Linda Ng; Iqbal, Shamsi (April 2020, CHI’20 Extended Abstracts)

   With increasing automation of the driving task, cars’ cock- pits are transforming towards living spaces rather than pure modalities of transport. The promise of automated vehicles being individual places for relaxation and productivity while on-the-go, however, requires significant research. Not only safety-critical questions, but also issues related to ergonomic design, human factors for interactive systems, and social aspects have to be investigated. This special interests group presents an opportunity for connecting var- ious CHI communities on these problems, which need to be solved under time-pressure, because automated vehi- cles are coming – whether or not the HCI-related issues are solved. 

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

   https://doi.org/10.1145/3334480.3375162  

   Sadeghian Borojeni, Shadan; Meschtscherjakov, Alexander; Pfleging, Bastian; Donmez, Birsen; Riener, Andreas; Janssen, Christian P.; Kun, Andrew L.; Ju, Wendy; Remy, Christian; Wintersberger, Philipp (April 2020, CHI’20 Extended Abstracts)

   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 fac- tors 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 overlap- ping themes (automated driving & climate changes) within the HCI and AutomotiveUI communities. Our intention is to grow this community and awareness of the related prob- lems. 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 de- sign fiction methods, we will explore the ways that systems affect behavior which then affect the environment. 

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