Multimodal systems have been previously used as an aid to improve quality and safety inspection in various domains, though few studies have evaluated these systems for accuracy and user comfort. Our research aims to combine our software interface designed for high usability with multimodal hardware configurations and to evaluate these systems to determine their user performance benefits and user acceptance data. We present two multimodal systems for using a novel system-directed interface to aid in inspecting vehicles along the assembly line: (1) wearable monocular display with speech input and audio output and (2) large screen display with speech input and audio output. We conducted two evaluations: (a) an experimental evaluation with novice users, resulting in accuracy, timing, user preferences, and other performance results and (b) an expert-based usability evaluation conducted on and off the assembly line providing insight on user acceptance, preferences, and performance potential in the production environment. We also compared these systems to current technology used in the production environment: a handheld display without speech input/output. Our results show that for visual and tactile tasks, benefits of system-directed interfaces are best realized when used with multimodal systems that reduce visual and tactile interaction per item and instead deliver system-directed information on the audio channel. Interface designers that combine system-directed interfaces with multimodal systems can expect faster and more efficient user performance when the delivery channel is different from channels necessary for task completion.
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March 2013
Research-Article
Evaluation of System-Directed Multimodal Systems for Vehicle Inspection
Lauren Cairco Dukes,
Lauren Cairco Dukes
Graduate Research Assistant
Virtual Environments Group,
School of Computing,
Clemson University,
Clemson, SC 29632
e-mail: LCairco@clemson.edu
Virtual Environments Group,
School of Computing,
Clemson University,
Clemson, SC 29632
e-mail: LCairco@clemson.edu
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Jerome McClendon,
Jerome McClendon
Graduate Research Assistant
e-mail: jmcclen@clemson.edu
e-mail: jmcclen@clemson.edu
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Toni Bloodworth Pence,
Toni Bloodworth Pence
Graduate Research Assistant
e-mail: tbloodw@clemson.edu
Virtual Environments Group,
School of Computing,
Clemson, SC 29632
e-mail: tbloodw@clemson.edu
Virtual Environments Group,
School of Computing,
Clemson University
,Clemson, SC 29632
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James Mathieson,
James Mathieson
Graduate Research Assistant
e-mail: jmathie@clemson.edu
e-mail: jmathie@clemson.edu
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Joshua Summers,
Joshua Summers
Associate Professor
Mem. ASME
e-mail: jsummer@clemson.edu
CEDAR Lab,
Department of Mechanical Engineering,
Clemson, SC 29632
Mem. ASME
e-mail: jsummer@clemson.edu
CEDAR Lab,
Department of Mechanical Engineering,
Clemson University
,Clemson, SC 29632
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Larry F. Hodges
Larry F. Hodges
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Lauren Cairco Dukes
Graduate Research Assistant
Virtual Environments Group,
School of Computing,
Clemson University,
Clemson, SC 29632
e-mail: LCairco@clemson.edu
Virtual Environments Group,
School of Computing,
Clemson University,
Clemson, SC 29632
e-mail: LCairco@clemson.edu
Amy Ulinski Banic
Jerome McClendon
Graduate Research Assistant
e-mail: jmcclen@clemson.edu
e-mail: jmcclen@clemson.edu
Toni Bloodworth Pence
Graduate Research Assistant
e-mail: tbloodw@clemson.edu
Virtual Environments Group,
School of Computing,
Clemson, SC 29632
e-mail: tbloodw@clemson.edu
Virtual Environments Group,
School of Computing,
Clemson University
,Clemson, SC 29632
James Mathieson
Graduate Research Assistant
e-mail: jmathie@clemson.edu
e-mail: jmathie@clemson.edu
Joshua Summers
Associate Professor
Mem. ASME
e-mail: jsummer@clemson.edu
CEDAR Lab,
Department of Mechanical Engineering,
Clemson, SC 29632
Mem. ASME
e-mail: jsummer@clemson.edu
CEDAR Lab,
Department of Mechanical Engineering,
Clemson University
,Clemson, SC 29632
Larry F. Hodges
Contributed by the Computers and Information Division of ASME for publication in the Journal of Computing and Information Science in Engineering. Manuscript received February 13, 2012; final manuscript received July 30, 2012; published online January 7, 2013. Editor: Bahram Ravani.
J. Comput. Inf. Sci. Eng. Mar 2013, 13(1): 011002 (9 pages)
Published Online: January 7, 2013
Article history
Received:
February 13, 2012
Revision Received:
July 30, 2012
Citation
Cairco Dukes, L., Banic, A. U., McClendon, J., Bloodworth Pence, T., Mathieson, J., Summers, J., and Hodges, L. F. (January 7, 2013). "Evaluation of System-Directed Multimodal Systems for Vehicle Inspection." ASME. J. Comput. Inf. Sci. Eng. March 2013; 13(1): 011002. https://doi.org/10.1115/1.4023004
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