Design and Development of a Voice Command-Based Stock Trading System for Visually Impaired Investors

This study proposes a voice-command-based Web Trading System (WTS) designed for visually impaired investors to enable seamless stock trading without relying on visual information. The system incorporates key functionalities such as real-time stock price retrieval, voice-activated trading (buy/ sell), portfolio management, conditional order setting, and chart analysis. By utilizing Google Speech- to-Text and Text-to-Speech APIs, the system efficiently processes user commands and provides immediate auditory feedback. The architecture is comprised of four primary modules: Voice Input, Command Processing, Trade Execution, and Voice Output, ensuring robust and accurate operations. A usability evaluation was conducted to compare the proposed WTS (V-HTS) with traditional Home Trading Systems (HTS). The results show that the task completion time for HTS is 12.3 seconds (±2.1 seconds), while V-HTS achieves a faster time of 9.1 seconds (±1.8 seconds). In terms of error rate, HTS recorded an average error rate of 5.0% (±2.1%), whereas V-HTS demonstrated a lower error rate of 3.2% (±1.8%). Furthermore, V-HTS outperformed HTS in user satisfaction metrics, highlighting its potential as an accessible trading platform for visually impaired users. These findings highlight the significance of inclusive design in enhancing financial accessibility and independence.

Authors

Publication Details

Journal
Journal of Korea Multimedia Society
Published
2025-02-28
DOI
https://doi.org/10.9717/kmms.2025.28.2.226
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Development of a Voice Command-Based Stock Trading System for Visually Impaired Investors

Joo-Hyun Park, Yoojeong Song, Juhan Yoo, Jongwoo Lee et al.
Journal of Korea Multimedia Society
Transportation and Mobility Innovations
article

Design and Development of a Voice Command-Based Stock Trading System for Visually Impaired Investors

Joo-Hyun Park, Yoojeong Song, Juhan Yoo, Jongwoo Lee, Woojin Cho, D. Park
article en

Abstract

This study proposes a voice-command-based Web Trading System (WTS) designed for visually impaired investors to enable seamless stock trading without relying on visual information. The system incorporates key functionalities such as real-time stock price retrieval, voice-activated trading (buy/ sell), portfolio management, conditional order setting, and chart analysis. By utilizing Google Speech- to-Text and Text-to-Speech APIs, the system efficiently processes user commands and provides immediate auditory feedback. The architecture is comprised of four primary modules: Voice Input, Command Processing, Trade Execution, and Voice Output, ensuring robust and accurate operations. A usability evaluation was conducted to compare the proposed WTS (V-HTS) with traditional Home Trading Systems (HTS). The results show that the task completion time for HTS is 12.3 seconds (±2.1 seconds), while V-HTS achieves a faster time of 9.1 seconds (±1.8 seconds). In terms of error rate, HTS recorded an average error rate of 5.0% (±2.1%), whereas V-HTS demonstrated a lower error rate of 3.2% (±1.8%). Furthermore, V-HTS outperformed HTS in user satisfaction metrics, highlighting its potential as an accessible trading platform for visually impaired users. These findings highlight the significance of inclusive design in enhancing financial accessibility and independence.

Journal of Korea Multimedia SocietyVol. 28(2)
Openalex Percentile: Top 96%
Transportation and Mobility Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.