Military Applications: Human Factors Aspects of Speech-Based Systems

Noyes, Jan; Haas, Ellen C.

doi:10.1007/978-0-387-73819-2_13

Cited by 3 publications

(3 citation statements)

References 34 publications

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“…This study has important limitations that potentially reduce its generalizability to the operational setting. First, environmental factors such as vibration, glare, and cockpit noise could reduce the effectiveness of touchscreen displays and voice recognition systems (Cockburn et al, 2017;Noyes & Haas, 2010), and these were not simulated in our study. Additionally, our system did not use features that make voice control especially useful, such as the consolidation of multiple touch inputs into a single "voice macro" (Draper et al, 2003).…”

Section: Limitationsmentioning

confidence: 99%

Effects of Touch, Voice, and Multimodal Input, and Task Load on Multiple-UAV Monitoring Performance During Simulated Manned-Unmanned Teaming in a Military Helicopter

2018

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Section: Limitationsmentioning

confidence: 99%

Effects of Touch, Voice, and Multimodal Input, and Task Load on Multiple-UAV Monitoring Performance During Simulated Manned-Unmanned Teaming in a Military Helicopter

2018

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“…Another discussion of VUIs for a specific niche application is provided by Noyes and Haas [21] who describe speech-based systems for the military domain. Military environments are "often harsh and not amendable to the use of technology per se", military personnel are "often subject to extremes of temperature and humidity".…”

Section: Speech-based Systems For Niche Applicationsmentioning

confidence: 99%

“…This was however not applicable for us due to the more variable nature of manual tasks. We thus had to consider approaches to enhance recognition during noisy phases of welding as discussed in [21]. A parallel of our work to Pires' is the use of a grammar-based approach (also see [26,25]).…”

Section: Speech-based Systems For Niche Applicationsmentioning

confidence: 99%

WeldVUI: Establishing Speech-Based Interfaces in Industrial Applications

Augstein

Neumayr

Pimminger

2019

Human-Computer Interaction – INTERACT 2019

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Voice User Interfaces (VUIs) and speech-based applications have recently gained increasing popularity. During the past years, they have been included in a wide range of mass-market devices (smart phones or technology installed in common car cockpits) and are thus available for many everyday interaction scenarios (e.g., making phone calls or switching the lights on and off). This popularity also led to a number of guidelines for VUI design, software libraries and devices for speech recognition becoming available for interface designers and developers. Although generally helpful, these resources are often broad and do not fully satisfy the specific requirements of certain industrial applications. First, grammar and vocabulary in such settings usually differ drastically from everyday scenarios. Second, common software libraries and devices are often not able to comply with the conditions in industrial environments (e.g. involving high levels of noise). This paper describes the iterative, usercentered design process for VUIs and functional speech-based interaction prototypes for the domain of industrial welding, including a two-stage Wizard of Oz procedure, rapid prototyping, speech recognition improvement and thorough user involvement. Our experiences throughout this process generalize to other industrial applications and so-called "niche applications" where grammar and vocabulary usually have to be established from scratch. They are intended to guide other researchers setting up a similar process for designing and prototyping domain-specific VUIs.

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Building Conversational Agents for Military Training: Towards a Virtual Wingman

Oijen¹,

Claessen²

2021

Artificial Intelligence in HCI

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Military Applications: Human Factors Aspects of Speech-Based Systems

Cited by 3 publications

References 34 publications

Effects of Touch, Voice, and Multimodal Input, and Task Load on Multiple-UAV Monitoring Performance During Simulated Manned-Unmanned Teaming in a Military Helicopter

Effects of Touch, Voice, and Multimodal Input, and Task Load on Multiple-UAV Monitoring Performance During Simulated Manned-Unmanned Teaming in a Military Helicopter

WeldVUI: Establishing Speech-Based Interfaces in Industrial Applications

Building Conversational Agents for Military Training: Towards a Virtual Wingman

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