Human-Telerobot Interactions: Information, Control, and Mental Models

Smith, Robert N.; Gillan, Douglas J.

doi:10.1177/154193128703100727

Cited by 6 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is no shortage of literature on MMs, with topics of manuscripts ranging from theory to applications. These include novice/expert studies (Furlough & Gillan, 2018;Zielinska, Welk, Mayhorn, & Murphy-Hill, 2015), team performance (Lim & Klein, 2006;Stout, Cannon-Bowers, Salas, & Milanovich, 1999;Converse, Cannon-Bowers, & Salas, 1991), training (Smith-Jentsch, Ricci, Campbell, & Zeisig, 1997;Scielzo, Fiore, Cuevas, & Salas, 2002), and human-robot/machine interaction (Smith & Gillan, 1987). However, in a recent literature review, only 13 of the 93 reviewed papers (14%) on MMs actually included a visualization or graphical representation of a MM (Harper & Dorton, 2019).…”

Section: The Problemmentioning

confidence: 99%

Towards a Context-Dependent Framework for Visualizing Mental Models

Harper

Dorton

2020

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

Mental models describe an internal representation of knowledge, which can be used to describe, explain, and predict a person’s interactions with their environment. While there is no shortage on mental model research, a recent literature review revealed the majority of research on mental models does not include an actual model of any kind. Mental models are able to capture complex information, which is difficult to effectively convey through written word alone. A set of visual metaphors are needed to effectively convey the disparate information that can be identified in mental models. We have conducted initial research to develop a notional framework for visualizing mental models based on the context of the elicitation methods used (and the data collected).

show abstract

Section: The Problemmentioning

confidence: 99%

Towards a Context-Dependent Framework for Visualizing Mental Models

Harper

Dorton

2020

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

show abstract

“…d2 d fs = mtd3 + td8 + kd (4) where mt, /t and k are mass, coefficient of friction and spring constant respectively.…”

Section: Fig1 Teleoperation For Dynamical Targetmentioning

confidence: 99%

“…d2 d fm (mt2)j.dm + (iit)jjdm + ktdm (5) Comparing the equation in slave domain (4) with that in master domain (5), the following relations between both domains are derived.…”

Section: Fig1 Teleoperation For Dynamical Targetmentioning

confidence: 99%

<title>System for scaled teleoperation: time-scaling problems</title>

Kobayashi

1993

Telemanipulator Technology

View full text Add to dashboard Cite

This paper treats a basic system which realizes scaled manipulation environment. Tools for scaled manipulation are necessary when we manipulate an extremely large or small size target. This type of tool has to scale up or down size and force in bilateral way. But time scaling should also be considered in order to build up such ideal environment as we can feel our body size is scaled to the target size. This paper proposes several possible time scaling methods which can be used in bilateral force-position controls.

show abstract

“…Smith and Gillan (1987) regarding "flying a point" vs. "arm configuration") and the important (and still only partly resolved) question of what constituted foreground and what background in the perception of the operator. Results were very much in favor of conventional expectations; it was clearly important that subjects move the control in the same direction as the stars appeared to be moving.…”

Section: Experimental Hypothesesmentioning

confidence: 99%

<title>Optical illusions and augmented graphics in guidance and control</title>

Kelley

Tuggle

1993

Telemanipulator Technology

View full text Add to dashboard Cite

Piloting and many related control activities, especially remote manipulation via teleoperations and robotics, stand to benefit substantially from better means of communication between controller and controlled. We have investigated one such approach: the use of augmented displays on a cathode ray terminal (CRT) for controlling simulated motion in microgravity. Such displays, which have been shown to be highly effective in a variety of applications, provide information to the operator which goes beyond that which is found in nature, and thereby emphasize important aspects of a task and minimize irrelevant ones. Using this approach, we attempted to develop stylized graphical displays, incorporating augmented feedback by distorting the background of the scene under display, for purposes of flight control and/or control of a robotic arm.Besides attempting to utilize transformations of the scene itself for informational purposes, the displays we developed represent significant departures from previous methods in two notable respects. First, we have attempted to design our instrumentation to make use of peripheral rather than exclusively foveal vision, thus broadening the bandwidth of perception by vision. Second, we attempted to incorporate optical illusions intended to enhance the perception of depth and apparent motion to provide better and more compelling feedback for the operator performing the task. Data from a small group of subjects suggest that the illusion of depth produced significantly better performance in that this was faster, had fewer errors, and interfered less with a secondary task (p < .0001), while the main effect for peripheral vision was not significant but other evidence suggests it improved performance nonetheless. A second experiment indicates that naive subjects benefited most (p = .0125), that optical illusions were most effective when presented early in training (p = .000006), and that such feedback, augmenting the illusions of depth and motion, especially when presented early eliminated any tendency to overcontrol (p = .000006).

show abstract

Human-Telerobot Interactions: Information, Control, and Mental Models

Cited by 6 publications

References 6 publications

Towards a Context-Dependent Framework for Visualizing Mental Models

Towards a Context-Dependent Framework for Visualizing Mental Models

<title>System for scaled teleoperation: time-scaling problems</title>

<title>Optical illusions and augmented graphics in guidance and control</title>

Contact Info

Product

Resources

About