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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. Exploring Holistic HMI Design for Automated Vehicles: Insights from a Participatory Workshop to Bridge In-Vehicle and External Communication

   https://doi.org/10.1145/3613905.3651086  

   Dong, Haoyu; Tran, Tram_Thi Minh; Verstegen, Rutger; Cazacu, Silvia; Gao, Ruolin; Hoggenmüller, Marius; Dey, Debargha; Franssen, Mervyn; Sasalovici, Markus; Bazilinskyy, Pavlo; et al (May 2024, ACM)

   Human–Machine Interfaces (HMIs) for automated vehicles (AVs) are typically divided into two categories: internal HMIs for inter- actions within the vehicle, and external HMIs for communication with other road users. In this work, we examine the prospects of bridging these two seemingly distinct domains. Through a partici- patory workshop with automotive user interface researchers and practitioners, we facilitated a critical exploration of holistic HMI design by having workshop participants collaboratively develop interaction scenarios involving AVs, in-vehicle users, and external road users. The discussion o!ers insights into the escalation of interface elements as an HMI design strategy, the direct interac- tions between di!erent users, and an expanded understanding of holistic HMI design. This work re"ects a collaborative e!ort to understand the practical aspects of this holistic design approach, o!ering new perspectives and encouraging further investigation into this underexplored aspect of automotive user interfaces. 

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3. 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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4. 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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5. 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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