Evaluation of a human-robot interface: development of a situational awareness methodology

Scholtz, Jean; Antonishek, Brian; Young, J. M.

doi:10.1109/hicss.2004.1265327

Cited by 37 publications

(19 citation statements)

References 5 publications

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“…For example, Adams (2005) used Goal Directed Task Analysis to determine the interaction needs of officers from the Nashville Metro Police Bomb Squad. Scholtz et al (2004) used Endsley's (1988) Situation Awareness Global Assessment Technique (SAGAT) to determine robotic vehicle supervisors' awareness of when vehicles were in trouble and thus required closer monitoring or intervention. Yanco and Drury (2004) employed usability testing to determine (among other things) how well a search and rescue interface supported use by first responders.…”

Section: Introductionmentioning

confidence: 99%

Evolving interface design for robot search tasks

Yanco

Keyes

Drury

et al. 2007

Journal of Field Robotics

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This paper describes two steps in the evolution of human-robot interaction designs developed by the University of Massachusetts Lowell (UML) and the Idaho National Laboratory (INL) to support urban search and rescue tasks. We conducted usability tests to compare the two interfaces, one of which emphasized three-dimensional mapping while the other design emphasized the video feed. We found that participants desired a combination of the interface design approaches. As a result, we changed the UML system to augment its heavy emphasis on video with a map view of the area immediately around the robot. We tested the changes in a follow-on user study and the results from that experiment suggest that performance, as measured by the number of collisions with objects in the environment and time on task, is better with the new interaction techniques. Throughout the paper, we describe how we applied human-computer interaction principles and techniques to benefit the evolution of the human-robot interaction designs. While the design work is situated in the urban search and rescue domain, we feel the results can be generalized to domains that involve other search or monitoring tasks using remotely located robots.2

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Section: Introductionmentioning

confidence: 99%

Evolving interface design for robot search tasks

Yanco

Keyes

Drury

et al. 2007

Journal of Field Robotics

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“…By definition, SA is an understanding of the environment state (not ignoring the relevant system parameters) [2]. It is critical to subsequent decision making, operator performance and workload in many dynamic control tasks [3,4]. Basically SA is a very important metric for controlling dynamic system.…”

Section: Introductionmentioning

confidence: 99%

Situation Awareness Assessment Mechanism for a Telepresence Robot

Santoso

Khoswanto

2016

Proceedings of Second International Conference on Electrical Systems, Technology and Information 2015 (ICESTI 2015)

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“…For some systems this concerns user-adaptation, possibly by learning from interaction or by detecting the specifics of a user [1,2]. For context-aware systems it means gathering information from the environment to adapt themselves to the current situation [3,4]. These developments lead to adaptive applications in many different domains, including shopping recommenders that direct consumers to products that may be of interest to them [5], mobile agents monitoring the user's surroundings in crisis situations [6] and personalized tours [7,8].…”

Section: Introductionmentioning

confidence: 99%