Refine
Document Type
- Conference Proceeding (11)
- Article (3)
- Contribution to a Periodical (1)
Is part of the Bibliography
- no (15)
Keywords
- Automotive HMI (2)
- Automobiles (1)
- Automotive (1)
- AutomotiveHMI (1)
- Autonomous automobiles (1)
- HCI (1)
- Highly Automated Vehicles (1)
- Human Factors (1)
- Human-Computer Interaction (1)
- Inclusion (1)
Institute
Recently, rescue worker resources have not been sufficient to meet the regular response time during large-scale catastrophic events in every case. However, many volunteers supported official forces in different disaster situations, often self-organized through social media. In this paper, a system will be introduced which allows the coordination of trained volunteers by a professional control center with the objective of a more efficient distribution of human resources and technical equipment. Volunteers are contacted via app on their private smartphone. The design of this app is based on user requirements gathered in focus group discussions. The feedback of the potential users includes privacy aspects, low energy consumption, and mechanisms for long-term motivation and training. The authors present the results of the focus group analyses as well as the transfer to their app design concept.
Bei Großschadensereignissen kann es durch die Vielzahl der Alarme dazu kommen, dass die verfügbaren Rettungskräfte nicht mehr ausreichen, um die anfallenden Aufgaben zu bewältigen oder Hilfsfristen einzuhalten. Die vorliegende Arbeit beschreibt einen Ansatz, sich zusätzlicher Hilfe aus der Bevölkerung zu bedienen, die über einen Disponenten aus der vorhandenen Leitstelle koordiniert wird. Dabei stehen nicht spontan organisierte Helfer im Vordergrund, sondern Personen, die sich vorab mit einem klaren Fertigkeitsprofil und ggf. auch Ausstattung im System registriert haben. Besondere Anforderungen entstehen bei den Disponenten der Leitstelle, deren Mehrbelastung durch das neue System gering zu halten ist, als auch bei den freiwilligen Helfern, die über eine App auf dem Mobiltelefon alarmiert werden und auch darüber die Kommunikation führen sollen. Die Anforderungen beeinflussen sowohl die System-Infrastruktur als auch die Benutzerschnittstelle.
In catastrophic events, the potential of help has grown through new technologies. Voluntary help has many forms. Within this paper different categories of voluntary help are suggested. Those categories are based on properties like organizational structures, helping process, kind of prosocial behavior and many more. A focus is clearly on the organizational structure and motivational aspects of helper groups. Examples are given for each category. The categorization’s aim is to give a brief overview of possible properties a group of system users could have.
Anonymity-preserving Methods for Client-side Filtering in Position-based Collaboration Approaches
(2017)
Automotive user interfaces and automated vehicle technology pose numerous challenges to support all diverse facets of user needs. These range from inexperienced, thrill-seeking, young novice drivers to elderly drivers with a mostly opposite set of preferences together with their natural limitations. To allow assessing the (hedonic) quality of automotive user interfaces and automated driving technology (i. e., UX) already during development, the proposed workshop is dedicated to the quest of finding objective, quantifiable criteria to describe future driving experiences. The workshop is intended for HCI, AutomotiveUI, and “Human Factors” researchers and practitioners as well for designers and developers. In adherence to the conference main topic “Interaktion – Verbindet – Alle”, this workshop calls in particular for contributions in the areas of human factors and ergonomics (user acceptance, trust, user experience, driving fun, natural user interfaces, etc.) with focus on hedonic quality and design of user experience to enhance the safety feeling in ADS.
Durch den technischen Fortschritt in der Spracherkennung und -verarbeitung wird Sprache als Interaktionsform auch in Fahrzeugen, z.B. zur Bedienung von Infotainmentsystem, immer populärer. Die Steuerung von teilautomatisierten Fahrzeugen über Sprache ist bisher wenig erforscht. Ziel dieser Arbeit ist es unter der grundsätzlichen Annahme der Eignung von Sprachsteuerung für teilautonome Fahrzeuge, Nutzererwartungen und spezielle Anforderungen an eine Sprachsteuerung für die grundlegenden Fahrmanöver zu identifizieren. Aus den Ergebnissen eines Expertenworkshops und einer explorativen Videostudie werden Anforderungen und Sprachkommandos abgeleitet.
For highly automated vehicles (AVs), new interaction concepts need to be developed. Even in AVs, the driver might want to intervene and override the automation from time to time. To create the possibility of control, we explore vehicle control through maneuver-based interventions (MBI). Thereby, we focus on explicit, contact-less interaction, which could be beneficial in future AV designs, where the driver is not necessarily bound to classical controls. We propose a set of freehand gestures and keywords for voice control derived in a user-centered design process. Further, we discuss properties, applicability and user impressions of both interaction modalities. Voice control seems to be an efficient way to select a maneuver and free-hand gestures could be used, if voice channel is blocked, e.g., through conversation with passengers.
Even though many aspects of automated driving have not yet become reality, many human factors issues have already been investigated. However, recent discussions revealed common misconceptions in both research and society about vehicle automation and the levels of automation levels. This might be due to the fact that automated driving functions are misnamed (cf. Autopilot) and that vehicles integrate functions at different automation levels (L1 lane keeping assistant, L2/L3 traffic jam assist, L4 valet parking). The user interface is one of the most critical issues in the interaction between humans and vehicles--and diverging mental models might be a major challenge here. Today's (manual) vehicles are ill-suited for appropriate HMI testing for automated vehicles. Instead, virtual or mixed reality might be a much better playground to test new interaction concepts in an automated driving setting.
The way we communicate with autonomous cars will fundamentally change as soon as manual input is no longer required as back-up for the autonomous system. Maneuver-based driving is a potential way to allow still the user to intervene with the autonomous car to communicate requests such as stopping at the next parking lot. In this work, we highlight different research questions that still need to be explored to gain insights into how such control can be realized in the future.