Experimental Investigation of Calibration and Resolution in Human-Automation System Interaction

Maehigashi, Akihiro; Miwa, Koichi; Terai, Hitoshi; Kojima, Kazuyuki; Morita, Junya

doi:10.1587/transfun.e96.a.1625

Cited by 5 publications

(11 citation statements)

References 23 publications

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“…The operators freely change between modes by pressing the space-bar. The experiment conducted by Maeghigashi et al ( 2013 ) used the task in 25 conditions where Ca and Cm levels were manipulated (5 levels of Ca ranging from 30 to 70% v.s. 5 levels of Cm ranging from 30 to 70%).…”

Section: The Taskmentioning

confidence: 99%

“…Before presenting a simulation involving the two modes, we conducted a simulation of Experiment 1 by Maeghigashi et al ( 2013 ) to confirm the correspondence of the base performance of the auto and manual modes in the two implementations.…”

Section: Model Simulationsmentioning

confidence: 99%

“…Maeghigashi et al ( 2013 ) compared the performance of the manual mode with the auto mode for each corresponding Ca and Cm level. In their experiment 1, the participants conducted the task without using the auto control mode (Data-Manual: n = 65).…”

Section: Model Simulationsmentioning

confidence: 99%

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Cognitive Modeling of Automation Adaptation in a Time Critical Task

et al. 2020

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This paper presents a cognitive model that simulates an adaptation process to automation in a time-critical task. The paper uses a simple tracking task (which represents vehicle operation) to reveal how the reliance on automation changes as the success probabilities of the automatic and manual mode vary. The model was developed by using a cognitive architecture, ACT-R (Adaptive Control of Thought-Rational). We also introduce two methods of reinforcement learning: the summation of rewards over time and a gating mechanism. The model performs this task through productions that manage perception and motor control. The utility values of these productions are updated based on rewards in every perception-action cycle. A run of this model simulated the overall trends of the behavioral data such as the performance (tracking accuracy), the auto use ratio, and the number of switches between the two modes, suggesting some validity of the assumptions made in our model. This work shows how combining different paradigms of cognitive modeling can lead to practical representations and solutions to automation and trust in automation.

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Section: The Taskmentioning

confidence: 99%

Section: Model Simulationsmentioning

confidence: 99%

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Cognitive Modeling of Automation Adaptation in a Time Critical Task

et al. 2020

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“…Their system recommends the viewpoint with the highest score in all viewpoints according to the evaluation function. On the other hand, Maehigashi et al [5] discussed about the relationship between a user and an automation system by analyzing the reaction of the user to the system performance variation in terms of misuse and disuse.…”

Section: Iui 2015 • Poster and Demo Sessionmentioning

confidence: 99%

“…A cooperative work is an action that humans and systems work together with a same purpose [5]. We define multi-view video viewing as a cooperative work between a user and a recommendation system(RS) to select the best viewpoint for the user while understanding each other situations.…”

Section: Cooperative Viewingmentioning

confidence: 99%

Human-Machine Cooperative Viewing System for Wide-angle Multi-view Videos

Tomiyasu

Mase

2015

Companion Proceedings of the 20th International Conference on Intelligent User Interfaces

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Wide-angle multi-view video, which provides viewers, with a realistic experience has received increasing attention in recent years. Users want to watch such videos interactively, switching viewpoints freely, but without the burdens of consecutive viewpoint selection or complex operation. Viewing systems should therefore satisfy these conflicting needs simultaneously. In this paper, we take the novel approach of confronting multi-view videos as a cooperative work. We also introduce a human-machine cooperative viewing system for wide-angle multi-view videos exploiting target-centered viewing. Our system consists of a manual viewpoint selection function and an automatic viewpoint selection function based on our concept.

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