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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. Future Cars as a Space for Work & Play

   https://doi.org/10.1145/3334480.3375063  

   Pfleging, Bastian; Kun, Andrew L.; Shaer, Orit (April 2020, CHI ’20 Extended Abstracts)

   The objective of this CHI course is to provide CHI atten- dees with an introduction and overview of the rapidly evolv- ing field of automotive user interfaces (AutomotiveUI). The course will focus on UI aspects in the transition towards automated driving. In particular, we will also discuss the op- portunities of cars as a new space for non-driving-related activities, such as work, relaxation, and play. For newcom- ers and experts of other HCI fields, we will present the spe- cial properties of this field of HCI and provide an overview of new opportunities, but also general design and evalua- tion aspects of novel automotive user interfaces. 

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3. 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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4. Alaska Native Responses to Climate Change: The Role of Community Values in Housing Adaptation

   Taylor, J; Poleacovschi, C; Perez, M. (June 2019, Engineering Project Organization Conference)

   Chinowsky, P; Taylor, J; Tech, G. (Ed.)

   The Arctic is experiencing intensified impacts from climate change, resulting in unprecedented rates of change, especially for Indigenous communities. Alaska Natives are experiencing transformations in housing, food security, economic stability, and cultural practices as a result of the biophysical changes such as thawing permafrost and coastal erosion. In response, communities are prioritizing adaptation. Although Indigenous communities have been adapting for hundreds of years, adaptation strategies, or actions that seek to moderate harm through the adjustment to actual or expected climate change effects, are not well documented. Housing adaptation strategies are especially understudied, which include any adaptation strategy that is in response to or in preparation for a biophysical change affecting housing. Housing adaptation strategies in response to climate change are primarily focused on physical dimensions (e.g., retrofitting homes, constructing sea wall). Nevertheless, adaptations to changes in biophysical systems are closely interlinked to sociocultural systems, which are often neglected in adaptation discourse. Analyzing existing strategies through the lens of community values captures the sociocultural aspects of adaptation and is critical for sustainable adaptation. This paper presents a research design that addresses these gaps in adaptation discourse by asking: How are community values represented in housing adaptation strategies in response to climate change? This research will employ interviews, focus groups, and observations in partnership with two Alaska Native communities in Oscarville, Alaska and Point Lay, Alaska using community based participatory research methods (CBPR). Understanding the role of community values in housing adaptation is essential for developing sustainable adaptation plans, engineering designs, and future research studies. Further, employing CBPR methodologies in the context of adaptation, grounds identified strategies and resulting plans in community experience. As a result, future findings will not only contribute to the intellectual understanding of adaptation processes and theory, but also facilitate actions in response to climate change. 

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5. Impact of Fog on Vehicular Emissions and Fuel Consumption in a Mixed Traffic Flow with Autonomous Vehicles (AVs) and Human-Driven Vehicles Using VISSIM Microsimulation Model

   https://doi.org/10.1061/9780784484876.023  

   Ansarinejad, Melika; Huang, Ying; Qiu, Aaron (June 2023, 2023 International Conference on Transportation and Development 2023)

   Driving in foggy conditions poses high risks to road users due to the reduction of visibility, affecting the drivers’ vision and perception, and making changes in driving behavior, which is one of the most important factors affecting vehicular emissions and fuel consumption. This study analyzes the PTV VISSIM traffic microsimulation outputs for exhaust emissions and fuel consumption of vehicles simulated under adverse weather conditions. This weather-dependent simulation is developed by using the advanced psychophysical car-following model “Wiedemann’s 99,” to flexibly control the driving behavior parameters in various driving conditions. Results show that vehicles under foggy conditions consume more fuel and produce more emissions in comparison with clear sky conditions and other scenarios. With the transition of current cities to smart sustainable cities and by introducing automated vehicles (AVs) to the traditional traffic network and gradually increasing their penetration rate, negative environmental impacts of driving under foggy conditions will be reduced, and improvement in overall mobility of a shared network of autonomous and human-driven is observable. 

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