Published:
Response of vulnerable road users to visual information from autonomous vehicles in shared spaces
Recommended citation: Walter Morales Alvarez et al.. (2019). Response of vulnerable road users to visual information from autonomous vehicles in shared spaces. Patent Office. https://ieeexplore.ieee.org/abstract/document/8917501/
Published:
Trusted vehicle telematics using blockchain data analytics
Recommended citation: Ignacio Alvarez, Mic Bowman. (2019). Trusted vehicle telematics using blockchain data analytics. Patent Office. https://patents.google.com/patent/US10284654B2/en
Published:
Driver monitoring system (dms) data management
Recommended citation: Ignacio J Alvarez et al.. (2021). Driver monitoring system (dms) data management. Patent Office. #
Published:
Emotional adaptive driving policies for automated driving vehicles
Recommended citation: Jennifer Healey, Victor Palacios Rivera, Ignacio Alvarez. (2021). Emotional adaptive driving policies for automated driving vehicles. Patent Office. https://patents.google.com/patent/US11086317B2/en
Published:
Methods and apparatus to automatically generate code for graphical user interfaces
Recommended citation: Javier Sebastian Turek et al.. (2021). Methods and apparatus to automatically generate code for graphical user interfaces. Patent Office. https://patents.google.com/patent/US11061650B2/en
Published:
Optimizing charging, fueling, and parking overheads of fleet vehicles in a maas architecture
Recommended citation: Juan Pablo Munoz et al.. (2021). Optimizing charging, fueling, and parking overheads of fleet vehicles in a maas architecture. Patent Office. https://patents.google.com/patent/US20210110323A1/en
Published:
Rogue vehicle detection and avoidance
Recommended citation: Ignacio Alvarez et al.. (2021). Rogue vehicle detection and avoidance. Patent Office. #
Published:
Simulated vehicle operation modeling with real vehicle profiles
Recommended citation: Ignacio Alvarez, Victor Palacios Rivera. (2021). Simulated vehicle operation modeling with real vehicle profiles. Patent Office. #
Published:
Autonomous vehicle system
Recommended citation: Hassnaa Moustafa et al.. (2022). Autonomous vehicle system. Patent Office. https://patents.google.com/patent/US20220126864A1/en
Published:
Devices and methods for updating maps in autonomous driving systems in bandwidth constrained networks
Recommended citation: Richard Dorrance et al.. (2022). Devices and methods for updating maps in autonomous driving systems in bandwidth constrained networks. Patent Office. https://patents.google.com/patent/US11375352B2/en
Published:
Methods and apparatus to update autonomous vehicle perspectives
Recommended citation: Sara Baghsorkhi et al.. (2022). Methods and apparatus to update autonomous vehicle perspectives. Patent Office. https://patents.google.com/patent/US11520331B2/en
Published:
System and method for acceleration-based vector field maps
Recommended citation: Javier Felip Leon et al.. (2022). System and method for acceleration-based vector field maps. Patent Office. https://patents.google.com/patent/US11536574B2/en
Published:
Vulnerable road user safety technologies based on responsibility sensitive safety
Recommended citation: Vesh Raj Sharma Banjade et al.. (2022). Vulnerable road user safety technologies based on responsibility sensitive safety. Patent Office. #
Published:
Systems, methods, and devices for driving control
Recommended citation: Deepak Dasalukunte et al.. (2023). Systems, methods, and devices for driving control. Patent Office. https://patents.google.com/patent/US11597393B2/en
Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Adjunct Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications. online, 2011
Designing driver-centric natural voice user interfaces
Recommended citation: Ignacio Alvarez et al.. (2011). Designing driver-centric natural voice user interfaces. Adjunct Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications. online. https://www.researchgate.net/profile/Ignacio-Alvarez-22/publication/266589727_Designing_Driver-centric_Natural_Voice_User_Interfaces/links/56018ccb08aeb30ba735028f/Designing-Driver-centric-Natural-Voice-User-Interfaces.pdf
Published in Ergonomics, 2012
Evaluating the ergonomics of BCI devices for research and experimentation
Recommended citation: Joshua I Ekandem et al.. (2012). Evaluating the ergonomics of BCI devices for research and experimentation. Ergonomics. https://www.tandfonline.com/doi/abs/10.1080/00140139.2012.662527
Published in No venue listed, 2015
Skyline: a rapid prototyping driving simulator for user experience
Recommended citation: Ignacio Alvarez, Laura Rumbel, Robert Adams. (2015). Skyline: a rapid prototyping driving simulator for user experience. No venue listed. https://dl.acm.org/doi/abs/10.1145/2799250.2799290
Published in Automotive user interfaces: creating interactive experiences in the car, 2017
Driver in the loop: Best practices in automotive sensing and feedback mechanisms
Recommended citation: Andreas Riener et al.. (2017). Driver in the loop: Best practices in automotive sensing and feedback mechanisms. Automotive user interfaces: creating interactive experiences in the car. https://link.springer.com/chapter/10.1007/978-3-319-49448-7_11
Published in Automotive User Interfaces: Creating Interactive Experiences in the Car, 2017
Towards Adaptive Ambient In-Vehicle Displays and Interactions: Insights and Design Guidelines from the 2015 AutomotiveUI Dedicated Workshop
Recommended citation: Andreas Löcken et al.. (2017). Towards Adaptive Ambient In-Vehicle Displays and Interactions: Insights and Design Guidelines from the 2015 AutomotiveUI Dedicated Workshop. Automotive User Interfaces: Creating Interactive Experiences in the Car. https://link.springer.com/chapter/10.1007/978-3-319-49448-7_12
Published in No venue listed, 2018
Emotional GaRage: A workshop on in-car emotion recognition and regulation
Recommended citation: Esther Bosch et al.. (2018). Emotional GaRage: A workshop on in-car emotion recognition and regulation. No venue listed. https://dl.acm.org/doi/abs/10.1145/3239092.3239098
Published in No venue listed, 2019
Design of a misbehavior detection system for objects based shared perception V2X applications
Recommended citation: Moreno Ambrosin et al.. (2019). Design of a misbehavior detection system for objects based shared perception V2X applications. No venue listed. https://ieeexplore.ieee.org/abstract/document/8917066/
Published in No venue listed, 2019
Human–vehicle cooperation in automated driving: A multidisciplinary review and appraisal
Recommended citation: Francesco Biondi, Ignacio Alvarez, Kyeong-Ah Jeong. (2019). Human–vehicle cooperation in automated driving: A multidisciplinary review and appraisal. No venue listed. #
Published in No venue listed, 2019
Object-level perception sharing among connected vehicles
Recommended citation: Moreno Ambrosin et al.. (2019). Object-level perception sharing among connected vehicles. No venue listed. https://ieeexplore.ieee.org/abstract/document/8916837/
Published in No venue listed, 2019
Towards standardization of AV safety: C++ library for responsibility sensitive safety
Recommended citation: Bernd Gassmann et al.. (2019). Towards standardization of AV safety: C++ library for responsibility sensitive safety. No venue listed. #
Published in Transportation research interdisciplinary perspectives, 2020
Agents, environments, scenarios: A framework for examining models and simulations of human-vehicle interaction
Recommended citation: Christian P Janssen et al.. (2020). Agents, environments, scenarios: A framework for examining models and simulations of human-vehicle interaction. Transportation research interdisciplinary perspectives. #
Published in No venue listed, 2021
MISO-V: Misbehavior detection for collective perception services in vehicular communications
Recommended citation: Xiruo Liu et al.. (2021). MISO-V: Misbehavior detection for collective perception services in vehicular communications. No venue listed. https://ieeexplore.ieee.org/abstract/document/9575970/
Published in No venue listed, 2022
Maneuver coordination service in vehicular networks
Recommended citation: Satish C Jha et al.. (2022). Maneuver coordination service in vehicular networks. No venue listed. #
Published in No venue listed, 2022
User experience design in the era of automated driving
Recommended citation: Andreas Riener, Myounghoon Jeon, Ignacio Alvarez. (2022). User experience design in the era of automated driving. No venue listed. #
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
User Experience Design Master of Science, Technische Hochschule Ingolstadt, Computer Science, 2025
Educating vehicle passengers and drivers about safety in autonomous vehicles (AVs) can be a challenge, especially when technical concepts like the Responsibility Sensitive Safety (RSS) model are involved. Gamification offers an innovative way to enhance user engagement and increase awareness of AV safety principles through the more natural interfaces of games by transforming complex concepts into interactive and enjoyable experiences. Integrating a safety model like RSS into a game can provide users with real-time feedback on safe driving practices and decision-making in various scenarios, as well as improve overall situational awareness during non-driving tasks.
AI Engineering of Autonomous Systems Master of Science, Technische Hochschule Ingolstadt, Computer Engineering, 2025
Ensuring driver alertness is a cornerstone of automotive safety, and Large Language Models (LLMs) offer a unique opportunity to create intelligent systems capable of detecting and mitigating sleepiness. By integrating multimodal inputs such as audio cues, video streams, and driving context signals, LLMs can process complex, real-time data to assess driver state and trigger appropriate actions to maintain alertness. In this project, students will design and prototype an automotive agent powered by LLMs to detect and respond to driver sleepiness. The system will utilize multimodal inputs, such as facial expressions, voice tone, and driving behavior, to compute a sleepiness likelihood metric. Based on the metric and additional contextual awareness signals (e.g., time of day, driving duration), the agent will propose tailored interventions, such as adjusting cabin temperature, suggesting a rest stop, or initiating engaging conversations. Students will evaluate the system’s usability, effectiveness, and user satisfaction, exploring the interplay between AI decision-making and driver interaction.
User Experience Design Bachelor of Science, Technische Hochschule Ingolstadt, Computer Science, 2025
This course is designed to prepare students for their final thesis. It provides fundamental knowledge to develop a study design based on a problem definition, conduct the study, evaluate it, and interpret the results. Thematic clusters in the area of human-computer interaction (e.g., productivity, automated driving, sports, and digitalization) are offered, from which student groups can choose and propose a specific topic. This topic will be developed iteratively in close professional coordination with the respective supervising lecturers. • Basics of user studies (possible applications, definition of research hypothesis) • Study design (dependent/independent variables, laboratory vs. field studies, within-groups/between-groups design) • Planning of experiments (different methods, “fidelity” of an experiment, software/hardware prototypes, Wizard of Oz studies, qualitative surveys/quantitative measurements, ethical aspects, role of an institutional review board (IRB)) • Study implementation (preparation, briefing/debriefing, finding and inviting test subjects, determining group size, learning effects, measuring variables/data collection) • Qualitative data analysis (content analysis, evaluation with MAXQDA/NVIVO, preparation and presentation of results, revision/fine-tuning in Illustrator) • Quantitative data analysis (reflection on the research hypothesis, use of SPSS for statistical evaluations, parametric/nonparametric statistics, correct choice of method, presentation and interpretation of results) • Written/oral presentation of the results (preparation of results, peer review process, final conference-style presentation)
User Experience Design Bachelor of Science, Technische Hochschule Ingolstadt, Computer Science, 2025
This course is designed to prepare students for their final thesis. It provides fundamental knowledge to develop a study design based on a problem definition, conduct the study, evaluate it, and interpret the results. Thematic clusters in the area of human-computer interaction (e.g., productivity, automated driving, sports, and digitalization) are offered, from which student groups can choose and propose a specific topic. This topic will be developed iteratively in close professional coordination with the respective supervising lecturers. • Basics of user studies (possible applications, definition of research hypothesis) • Study design (dependent/independent variables, laboratory vs. field studies, within-groups/between-groups design) • Planning of experiments (different methods, “fidelity” of an experiment, software/hardware prototypes, Wizard of Oz studies, qualitative surveys/quantitative measurements, ethical aspects, role of an institutional review board (IRB)) • Study implementation (preparation, briefing/debriefing, finding and inviting test subjects, determining group size, learning effects, measuring variables/data collection) • Qualitative data analysis (content analysis, evaluation with MAXQDA/NVIVO, preparation and presentation of results, revision/fine-tuning in Illustrator) • Quantitative data analysis (reflection on the research hypothesis, use of SPSS for statistical evaluations, parametric/nonparametric statistics, correct choice of method, presentation and interpretation of results) • Written/oral presentation of the results (preparation of results, peer review process, final conference-style presentation)