BMW

apartmentCompanybar_chart#296 Global Rank

Total Papers

HCI Rank

#296

Research Areas

Years Active

Recent Publications

Evaluating Generative AI in the Lab: Methodological Challenges and Guidelines

Generative AI (GenAI) systems are inherently non-deterministic, producing varied outputs even for identical inputs. While this variability is central to their appeal, it challenges established HCI evaluation practices that typically assume consistent and predictable system behavior. Designing controlled lab studies un…

IUI '26Generative AI (Text, Image, Music, Video) +2

Enhancing Generative AI Image Refinement with Scribbles and Annotations: A Comparative Study of Multimodal Prompts

Generative AI (GenAI) image tools are increasingly used in design practice, enabling rapid ideation but offering limited support for refinement tasks such as adjusting layout, scale, or visual attributes. While text prompts and inpainting allow localized edits, they often remain inefficient or ambiguous for precise, i…

CHI '26Generative AI (Text, Image, Music, Video) +2

Interaction Methods in Generative AI Image Tools: A Review of Trends and Design Opportunities Across HCI and Industry

Generative AI (GenAI) image tools are increasingly integrated into design workflows, prompting HCI research on their interaction methods and interfaces. We reviewed 37 such tools, including 28 HCI research systems and nine commercial systems (2022--July 2025), using three analytical frameworks: interaction methods, cr…

CHI '26Voice User Interface (VUI) Design +3

"What Are You Doing?": Effects of Intermediate Feedback from Agentic LLM In-Car Assistants During Multi-Step Processing

Agentic AI assistants that autonomously perform multi-step tasks raise open questions for user experience: how should such systems communicate progress and reasoning during extended operations, especially in attention-critical contexts such as driving? We investigate feedback timing and verbosity from agentic LLM-base…

AUTO_UI '25Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS)

Unraveling Subjective ADAS Comprehension Considering Factors of Situational Complexity on the Example of Traffic Light Scenarios

Advanced driver assistance systems (ADAS) with increasing automation maturity and availability in urban contexts are entering the market. Meanwhile, the situational context has been identified to play a crucial role in system comprehension and usage, yet its subcomponents and their relation to system comprehension rem…

AUTO_UI '24Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS)

Exploring Urban Challenges: Understanding Advanced Driver Assistance Systems in Different Situational Contexts

New Advanced Driver Assistance Systems (ADAS) are now available to support urban driving. To adequately use ADAS, especially in complex situations, drivers must comprehend them. An on-road study was conducted to investigate the mental model development while interacting with a state-of-the-art ADAS in both a rural (le…

AUTO_UI '24Automated Driving Interface & Takeover Design +1

Improving Driver Engagement with Level 2 Automated Systems: The Impact of Fully Shared Longitudinal Control

According to the Society of Automotive Engineers (SAE), in Level 2 systems (L2 systems), the system executes the longitudinal and lateral control of the vehicle, with the driver required to monitor the environment and intervene when necessary. To further improve safety and driver engagement, we compared a fully shared…

AUTO_UI '24Automated Driving Interface & Takeover Design +1

Driven to Distraction: Exploring Mind Wandering During a Virtual Reality City Drive

Research has characterized mind-wandering as humans' natural mental state, with moments of task-focused attention being the exception. With this framing, mind-wandering while driving likely occurs more than generally acknowledged, and seems poised to increase with higher levels of automation. This in turn may have adv…

CHI '24Voice User Interface (VUI) Design +2

Listening to the Voices: Describing Ethical Caveats of Conversational User Interfaces According to Experts and Frequent Users

Advances in natural language processing and understanding have led to a rapid growth in the popularity of conversational user interfaces (CUIs). While CUIs introduce novel benefits, they also yield risks that may exploit people's trust. Although research looking at unethical design deployed through graphical user inte…

AUTO_UI '23External HMI (eHMI) — Communication with Pedestrians & Cyclists +1

Investigating Hazard Notifications for Cyclists in Mixed Reality: A Comparative Analysis with a Test Track Study

One way to improve road safety for cyclists is the development of hazard notification systems. Instead of in field experiments, such systems could be tested in safe and more controlled simulated environments; however, their validity needs verification. We evaluated the validity of mixed reality (MR) simulation for b…

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https://hci.top/en/institutions/BMW?source=all

At a Glance

Institution Snapshot

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Display Name

BMW

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Location

Germany · Europe

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Overall Rank

#296

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Total Papers

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Active Years

2018-2026

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Network

30 researchers · 2 collaborators

Research Profile

Top Research Directions

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Automotive & Autonomous Vehicle Interaction

Automated Driving Interface & Takeover Design

AI & Machine Learning Interaction

Generative AI (Text, Image, Music, Video)

Voice Interaction & Conversational Systems

Voice User Interface (VUI) Design

Research Methods & Design Practice

User Research Methods (Interviews, Surveys, Observation)

Creative Tools & Content Creation

Creative Collaboration & Feedback Systems