Computational analyses of auditory discriminability using data from acceptable signal-to-noise ratio experiment

IF 0.5 Q4 ERGONOMICS

International Journal of Human Factors and Ergonomics Pub Date : 2019-09-12 DOI:10.1504/ijhfe.2019.102301

Bankole K. Fasanya

引用次数: 1

Abstract

The current research gap in the area of human auditory performances inspired the need to develop a mathematical model that establishes the relationship between auditory sound discriminability (d'), sound familiarity (k), signal-to-noise ratio (SNR) and acceptable signal-to-noise ratio (ASNR). This paper developed the mathematical models that showed the relationship between k, d', SNR and ASNR. ASNR archival data from 20 students at a public university located in the eastern region of the USA was used to validate the models. Participants' ages ranged from 23 to 35 years old. Findings from the model simulations revealed a threshold familiarity score (q*), the point at which k and SNR assumed the same value. ANOVA result showed (p < 0.0001), which indicated a statistically significant effect of ASNR and sound familiarity (k) on d' with R2 = 94%. The findings were applicable to auditory detection task only.

查看原文本刊更多论文

利用可接受信噪比实验数据对听觉判别性进行计算分析

当前人类听觉表现领域的研究空白激发了建立听觉声音可辨别性(d’)、声音熟悉度(k)、信噪比(SNR)和可接受信噪比(ASNR)之间关系的数学模型的需求。本文建立了k、d′、信噪比和ASNR之间关系的数学模型。采用美国东部地区一所公立大学20名学生的ASNR档案数据对模型进行验证。参与者的年龄从23岁到35岁不等。模型模拟的结果显示了阈值熟悉度评分(q*)， k和信噪比假设相同值的点。方差分析结果显示(p < 0.0001)，表明ASNR和声音熟悉度(k)对d'的影响具有统计学意义，R2 = 94%。研究结果仅适用于听觉探测任务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Human Factors and Ergonomics Social Sciences-Human Factors and Ergonomics

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： IJHFE publishes high quality international interdisciplinary peer-reviewed manuscripts covering ergonomics and human factors in the design, planning, development and management of technical and social systems for work or leisure, including technical systems, equipment, products and the organisation of work. Topics covered include Environmental and physical ergonomics Human-machine systems design/tool/equipment design Eliciting human requirements on technology Usability/comfort/pleasure/cognitive engineering of human-technology interfaces Anthropometrics/design for people with disabilities Design of critical systems/equipment for extreme environments Human performance measurement and modelling Humans in transportation systems/technologically complex systems Cognitive ergonomics, information processing, information/multimedia design, expert systems Acceptability and effectiveness of technology change Training design, organisational design and psychosocial factors Management of the complex participation of people in their environment Human-centred/goal-driven design of technical/organisational systems. Topics covered include: -Environmental and physical ergonomics -Human-machine systems design/tool/equipment design -Eliciting human requirements on technology -Usability/comfort/pleasure/cognitive engineering of human-technology interfaces -Anthropometrics/design for people with disabilities -Design of critical systems/equipment for extreme environments -Human performance measurement and modelling -Humans in transportation systems/technologically complex systems -Cognitive ergonomics, information processing, information/multimedia design, expert systems -Acceptability and effectiveness of technology change -Training design, organisational design and psychosocial factors -Management of the complex participation of people in their environment -Human-centred/goal-driven design of technical/organisational systems