Creating Tactile Interaction Surfaces for the Origo Steering Wheel Concept using CWI and EHWs

Haptics, one of the key interaction modalities, is often over-looked as it is considered non-functional in a vibration heavy environment, such as a moving vehicle. However, modern techniques of generating, mediating, and delivering tactile feedback have greatly improved in the last five years. Localizing techniques such as Constructive Wave Interference (CWI) and mediation technique of Embedded Haptic Waveguides (EHWs) can be combined to create reliable and consistent tactile output in even the most challenging environments. In this research authors utilize these techniques to create tactile feedback zones on the steering wheel, which can be used to relay haptic signals to the driver with little to no visual demand.acceptedVersionPeer reviewe

The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective

We are interested in the role of field user interaction data in the development of IVIS, the potentials practitioners see in analyzing this data, the concerns they share, and how this compares to companies with digital products. We conducted interviews with 14 UX professionals, 8 from automotive and 6 from digital companies, and analyzed the results by emergent thematic coding. Our key findings indicate that implicit feedback through field user interaction data is currently not evident in the automotive UX development process. Most decisions regarding the design of IVIS are made based on personal preferences and the intuitions of stakeholders. However, the interviewees also indicated that user interaction data has the potential to lower the influence of guesswork and assumptions in the UX design process and can help to make the UX development lifecycle more evidence-based and user-centered

Origo Steering Wheel: Improving Tactile Feedback for Steering Wheel IVIS Interaction using Embedded Haptic Wave Guides and Constructive Wave Interference

Automotive industry is evolving through “Electrification”, “Autonomous Driving Systems”, and “Ride Sharing”, and all three vectors of change are taking place in the same timeframe. One of the key challenges during this transition will be to present critical information collected through additional onboard systems, to the driver and passengers, enhancing multimodal in-vehicle interaction. In this research authors suggest creating embedded tactile-feedback zones on the steering wheel itself, which can be used to relay haptic signals to the driver with little to no visual demand. Using “Haptic Mediation” techniques such as 3D-printed Embedded Haptic Waveguides (EHWs) and Constructive Wave Interference (CWI), the authors were able to provide reliable tactile feedback in normal driving environments. Signal analysis shows that EHWs and CWI can reduce haptic signal distortion and attenuation in noisy environments and during user testing, this technique yielded better driving performance and required lower cognitive load while completing common IVIS tasks.acceptedVersionPeer reviewe

The growing and risky industry of nomadic apps for drivers

HCI researchers have worked for decades defining methods and techniques to assess the attention demands of in-vehicle information systems (IVIS). Acceptance test methods have been proposed that must be passed for the safe use of IVIS. Most of these methods require expensive test environments and highly trained personnel for its implementation. This article makes a review of those strategies with focus in the cost and development process phase. In the realm of mobile application ecosystems (aka "apps"), guidelines and certification programs exist. Apps must pass them to be considered as automotive-ready systems or to integrate with OEM infotainment devices. However, getting into the category of certified applications does not guarantee full compliance with the criteria established by formal methods accepted by the automotive industry and international standards. Moreover, many studies show the high risk of using IVIS while driving, which lead to consider that the current predominant approaches to assess attention demands of automotive apps and to guide IVIS design are not enough. Efficient cost-benefit methods applicable in early phases of application development, as well as context-adaptive interfaces have the potential to contribute to the improvement of safe driving environments.Laboratorio de Investigación y Formación en Informática Avanzad

The growing and risky industry of nomadic apps for drivers

HCI researchers have worked for decades defining methods and techniques to assess the attention demands of in-vehicle information systems (IVIS). Acceptance test methods have been proposed that must be passed for the safe use of IVIS. Most of these methods require expensive test environments and highly trained personnel for its implementation. This article makes a review of those strategies with focus in the cost and development process phase. In the realm of mobile application ecosystems (aka apps ), guidelines and certification programs exist. Apps must pass them to be considered as automotiveready systems or to integrate with OEM infotainment devices. However, getting into the category of certified applications does not guarantee full compliance with the criteria established by formal methods accepted by the automotive industry and international standards. Moreover, many studies show the high risk of using IVIS while driving, which lead to consider that the current predominant approaches to assess attention demands of automotive apps and to guide IVIS design are not enough. Efficient cost-benefit methods applicable in early phases of application development, as well as context-adaptive interfaces have the potential to contribute to the improvement of safe driving environments

User experience design for electric mopeds

Electric moped sharing, a recent variation of vehicle sharing concepts, are emerging in urban areas to enable commuters short-term access to mopeds on an as-needed basis. User experience problems arise along with the generalization of this trend. A large portion of novice riders are granted access and the shared nature prevents users from taking their time to get familiar with the controls and functions of electric mopeds. The purpose of this study is to gain a deeper understanding of user experience and leveraging design to address the problems. Unlike car and bike sharing, user experience related to electric moped are yet to be explored by literature. To fill this gap, a social media survey and 4 individual workshops were organized to clarify issues interacting with mopeds caused by inexperience and lack of time. A final prototype was designed using an incremental and exploratory approach, which is characterized by the intuitive layout of handlebar controls and smartphone integration. In evaluating the usability and user experience, 9 participants were recruited to do simulation riding using the designed prototype and a standard moped, which serves as the benchmark. The result suggested a higher usability scale for the prototype supplemented by positive comments made on the smartphone integration tactic and system learnability. Possibility of further improvement and methodology design are also discussed in this paper.M.S

GCS: A Quick and Dirty Guideline Compliance Scale

Expert-based usability evaluation methods offer valuable alternatives to traditional user testing in Human-Machine Interaction (HMI) development. While general measures of usability for user-based empirical studies are well-known throughout the community of researchers, expert-based approaches often lack such general measures of usability. This research introduces the Guideline Compliance Scale (GCS), a measure that can be applied during guideline reviews to assess the overall level of usability. Several guidelines relevant for the system being evaluated are rated by the evaluators according to their compliance. In the case study for our research, an automotive user interface was empirically evaluated in a user study as well as a guideline review with experts. The usability problem lists, which form part of the output, were made comparable by classification using the Usability Problem Classifier (UPC). An in-depth analysis revealed differences and similarities in the problem identification of both applied methods. Comparing the results of the GCS from the guideline review with the results of the System Usability Scale (SUS) from the user study, regarding the overall level of usability, showed similar results for both scales

Exploratory Analysis of the Research Literature on Evaluation of In-Vehicle Systems

The dataset contains a graph-based representation of research papers from the research area of human-computer interaction for in-vehicle systems. For the proposed approach several thousand papers from different conferences, journals and monographs in the domain of in-vehicle interaction were systematically filtered, classified, and stored in a graph database. An exploratory survey shows a trend for usability assessment methods with direct involvement of users, especially the observation of users and performance-related measurements, as well as questionnaires and interviews. The used graph database platform neo4j allows to query the developed dataset while focusing on connections between the captured data. The data was manually classified from three conferences, eleven journals and three monographs between 2013 to 2017. The relevant articles were selected through different selection criteria. An explicit thematic relation to one or more us- ability methods, a practical application of the method in an empirical part of the study, and a relation to the context of use for in-vehicle interaction

Exploratory Analysis of the Research Literature on Evaluation of In-Vehicle Systems

An exploratory literature review method was applied to publications from several sources on Human-Computer Interaction (HCI) for In-Vehicle Information Systems (IVIS). The novel approach for bibliographic classification uses a graph database to investigate connections between authors, papers, used methods, and investigated interface types. This allows the application of algorithms to find similarities between different publications and overlaps between different usability evaluation methods. Through community detection algorithms, the publications can be clustered based on similarity relationships. For the proposed approach several thousand papers were systematically filtered, classified, and stored in a graph database. The survey shows a trend for usability assessment methods with direct involvement of users, especially the observation of users and performance-related measurements, as well as questionnaires and interviews. However, especially methods usually applied in early stages of development based on the assessment through models or experts, as well as collaborative and creativity methods do not seem very popular in automotive HCI research

Exploratory Analysis of the Research Literature on Evaluation of In-Vehicle Systems

The dataset contains a graph-based representation of research papers from the research area of human-computer interaction for in-vehicle systems. For the proposed approach several thousand papers from different conferences, journals and monographs in the domain of in-vehicle interaction were systematically filtered, classified, and stored in a graph database. An exploratory survey shows a trend for usability assessment methods with direct involvement of users, especially the observation of users and performance-related measurements, as well as questionnaires and interviews. The used graph database platform neo4j allows to query the developed dataset while focusing on connections between the captured data. The data was manually classified from three conferences, eleven journals and three monographs between 2013 to 2017. The relevant articles were selected through different selection criteria. An explicit thematic relation to one or more us- ability methods, a practical application of the method in an empirical part of the study, and a relation to the context of use for in-vehicle interaction