A comparison of the usability and effectiveness of web-based delivery of instructions for inherently-3D construction tasks on handheld and desktop computers

Zimmerman, Guy; Barnes, Julie; Leventhal, Laura Marie

doi:10.1145/636600.636601

Cited by 5 publications

(8 citation statements)

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“…1,4,6,20]. Of interest here, [31,32] found that people used differential strategies to varying degrees of success when performing a three-dimensional construction task using instructions presented on mobile and non-mobile devices. For these tasks, the instructional presentation included interactive 3D models.…”

Section: Mobility Mattersmentioning

confidence: 99%

“…Further, the richness of construction tasks would seem to make them ideally suited to highlight mental workload differences between mobile and non-mobile devices. [31,32] compared performance on a construction task between a mobile device presentation and a fixed upright display presentation. They found that the mobile device users were more efficient in building the target object than the fixed presentation users.…”

Section: Mobility Mattersmentioning

confidence: 99%

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Mobility Matters: Identifying Cognitive Demands That Are Sensitive to Orientation

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Zimmerman

Klopfer

et al. 2013

Lecture Notes in Computer Science

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Abstract.Prior studies have shown benefits of interactions on mobile devices. Device mobility itself changes the nature of the user experience; interactions on mobile devices may present better support for cognition. To better understand cognitive demands related to mobility, the current study investigated presentations on a mobile device for a three-dimensional construction task. The task imposed considerable cognitive load, particularly in demands for mental rotation; individual differences in spatial ability are known to interact with these demands. This study specifically investigated mobile device orientations and participants' spatial ability. Subjects with low spatial ability were able to complete the task more effectively when shown the presentation in a favorable orientation. Individuals who saw the presentation in an unfavorable orientation and those of low spatial ability, were differentially disadvantaged. We conclude that mobility can reduce cognitive load by limiting demands for spatial processing relating to reorientation.

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Section: Mobility Mattersmentioning

confidence: 99%

Section: Mobility Mattersmentioning

confidence: 99%

Mobility Matters: Identifying Cognitive Demands That Are Sensitive to Orientation

Poor

Zimmerman

Klopfer

et al. 2013

Lecture Notes in Computer Science

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“…They tested their multimedia generation tool by using it to update patient information to caregivers in hospitals. Zimmerman et al [3] developed web-based delivery of instructions for inherently-3D construction tasks. The authors used quantitative and qualitative studies to examine factors like user interface, delivery technology and their influence on user interaction level and success in performing inherently 3D operations.…”

Section: Related Workmentioning

confidence: 99%

“…From this figure, note that part p (2) (Radio box 4) is similar to p (3) (Radio box 8). Consider that the human must pick up and assemble p (3) into the current subassembly before picking up p (2) . Now, an animation is created, in which the two similar parts detected in the previous phase are lifted vertically and positioned adjacent to each other, with appropriate annotations that enable the human to recognize the correct part for pick up before proceeding for assembly.…”

Section: Part Identification Instructionsmentioning

confidence: 99%

Instruction Generation for Assembly Operations Performed by Humans

Kaipa

Morato

Zhao

et al. 2012

Volume 2: 32nd Computers and Information in Engineering Conference, Parts a and B

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This paper presents the design of an instruction generation system that can be used to automatically generate instructions for complex assembly operations performed by humans on factory shop floors. Multimodal information−text, graphical annotations, and 3D animations− is used to create easy-to-follow instructions. This thereby reduces learning time and eliminates the possibility of assembly errors. An automated motion planning subsystem computes a collision-free path for each part from its initial posture in a crowded scene onto its final posture in the current subassembly. Visualization of this computed motion results in generation of 3D animations. The system also consists of an automated part identification module that enables the human to identify, and pick, the correct part from a set of similar looking parts. The system's ability to automatically translate assembly plans into instructions enables a significant reduction in the time taken to generate instructions and update them in response to design changes. INTRODUCTIONProduct manufacturing involves complex assembly operations that must be performed by humans and/or robots. Within this setting, it is imperative to define the operational roles of the human and the robot appropriately. Whereas robots are superior to humans at handling repetitive tasks like welding and bolting, humans are better at performing tasks like picking, carrying, and placing a wide range of parts without using special fixtures; humans also have a natural ability to handle several assembly equipment easily. However, humans are prone to committing assembly related mistakes. Human workers usually follow a list of instructions to carry out assembly operations on the shop floor. However, poor instructions lead to assembly errors and increased learning time. Therefore, there is a need for effective, and yet, easy-to-follow assembly instructions for humans. Manual generation of such high quality instructions is a time consuming task when utilizing shared setups and tools. This thereby motivates the need for automated generation of instructions for human workers.In this paper, we present the design of an instruction generation system that can be used to automatically generate instructions

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“…Primary means by which information can be delivered to human operators include speech, text, graphics [12], [13], [14], [15], virtual 3D environments [16], [17], and augmented reality [18], [19], [20]. Examples of augmented reality systems include a tracked head worn display that augments a human operator's view with text, labels, arrows, and animations [19] and laser pointer mounted on a robot highlighting where a cable must be inserted [18].…”

Section: Introductionmentioning

confidence: 99%

Resolving automated perception system failures in bin-picking tasks using assistance from remote human operators

Kaipa

Thevendria-Karthic

Shriyam

et al. 2015

2015 IEEE International Conference on Automation Science and Engineering (CASE)

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We present an approach to resolve automated perception failures during bin-picking operations in hybrid assembly cells. Our model exploits complementary strengths of humans and robots. Whereas the robot performs binpicking and proceeds to the subsequent operation like kitting or assembly, a remotely located human assists the robot in critical situations by resolving any automated perception problems encountered during bin-picking. We present the design details of our overall system comprising an automated part recognition system and a remote user interface that allows effective information exchange between the human and the robot that is geared toward solutions that minimize human operator time in resolving the detected perception failures. We use illustrative real robot experiments to show that human-robot information exchange leads to improved bin-picking performance.

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A comparison of the usability and effectiveness of web-based delivery of instructions for inherently-3D construction tasks on handheld and desktop computers

Cited by 5 publications

References 0 publications

Mobility Matters: Identifying Cognitive Demands That Are Sensitive to Orientation

Mobility Matters: Identifying Cognitive Demands That Are Sensitive to Orientation

Instruction Generation for Assembly Operations Performed by Humans

Resolving automated perception system failures in bin-picking tasks using assistance from remote human operators

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