Real-time Automated Surveys among Low-literate Masses using Voice-based Telephone Services

Agha Ali Raza, Samia Razaq, Amna Raja, Rizwan Naru, Ali Gibran, Abdullah Sabri, Haroon Niaz, M. B. Saleem, U. Saif
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引用次数: 1

Abstract

This paper explores the use of Interactive Voice Response (IVR) systems for automatic surveys, data validation and prescreening. We report a deployment aimed at employing voice-based, telephone services to conduct automated, structured interviews of low-literate users and to advertise relevant development-related services to them. Survey calls were placed to 67,000 vocational training recipients to validate their phone numbers and to find out their current job status. Of these, 45,500 answered these calls and 11,500 (25%) responded to the survey questions. Manually conducted follow-up interviews found more than 70% of the survey results to be consistent and also revealed the impact of phone sharing (among family members), call timing, simplicity of interface and surveyor-participant interpretation mismatch regarding certain survey questions on participant involvement and the validity of survey results. The paper discusses the use of IVR to collect information, possible system design considerations and factors affecting the accuracy of gathered information.
使用语音电话服务在低文化人群中进行实时自动调查
本文探讨了交互式语音应答(IVR)系统在自动调查、数据验证和预筛选中的应用。我们报告了一项部署,旨在采用基于语音的电话服务,对低文化水平的用户进行自动化、结构化的访谈,并向他们宣传相关的发展相关服务。调查人员给6.7万名职业培训受训者打了电话,以核实他们的电话号码,并了解他们目前的工作状况。其中,45,500人接听了电话,11,500人(25%)回答了调查问题。通过人工跟踪访谈发现,超过70%的调查结果是一致的,并且还揭示了电话共享(家庭成员之间),呼叫时机,界面简单性以及调查者-参与者对某些调查问题的解释不匹配对参与者参与和调查结果有效性的影响。本文讨论了利用IVR进行信息采集、可能的系统设计考虑以及影响采集信息准确性的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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