Resolving Conceptual Mode Confusion with Qualitative Spatial Knowledge in Human-Robot Interaction

Cui, Jian; Shi, Hui

doi:10.1007/978-3-319-01790-7_6

Cited by 1 publication

(1 citation statement)

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“…Several approaches have been proposed as verification frameworks to detect a wide range of mode-confusion problems [6,70,81]. In HRI qualitative spatial beliefs models are applied to bridge the gap between human's mental representation about space and that of mobile robots [48].…”

Section: Models and Algorithms (Ad Hri Av)mentioning

confidence: 99%

Mode Awareness Interfaces in Automated Vehicles, Robotics, and Aviation: A Literature Review

Özkan

Mirnig

Meschtscherjakov

et al. 2021

13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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With increasing automation capabilities and a push towards full automation in vehicles, mode awareness, i.e., the driver's awareness of the vehicle's current automation mode, becomes an important factor. While issues surrounding mode awareness are known, research concerning and design towards mode awareness appears to not yet be a focal point in the automated driving domain. In this paper, we provide a state-of-the art on mode awareness from the related domains of automated driving, aviation, and Human-Robot Interaction. We present a summary of existing mode awareness interface solutions as well as existing techniques and recognized gaps concerning mode awareness. We found that existing interfaces are often simple, sometimes outdated, yet are difficult to meaningfully expand without overloading the user. We also found predictive approaches as a promising strategy to lessen the need for mode awareness via separate indicators. CCS CONCEPTS• Human-centered computing → HCI theory, concepts and models; Interactive systems and tools.

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