Evaluation of IVR data collection UIs for untrained rural users
Due to the rapid spread of mobile phones and coverage in the developing world, mobile phones are being increasingly used as a technology platform for developing-world applications including data collection. In order to reach the vast majority of mobile phone users without access to specialized softw...
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| Format: | Article |
| Language: | en_US |
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Association for Computing Machinery
2012
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| Online Access: | http://hdl.handle.net/1721.1/73000 https://orcid.org/0000-0002-7231-7643 |
| _version_ | 1811092132187865088 |
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| author | Lerer, Adam Ward, Molly Amarasinghe, Saman P. |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Lerer, Adam Ward, Molly Amarasinghe, Saman P. |
| author_sort | Lerer, Adam |
| collection | MIT |
| description | Due to the rapid spread of mobile phones and coverage in the developing world, mobile phones are being increasingly used as a technology platform for developing-world applications including data collection. In order to reach the vast majority of mobile phone users without access to specialized software, applications must make use of interactive voice response (IVR) UIs. However, it is unclear whether rural users in the developing world can use such UIs without prior training or IVR experience; and if so, what UI design choices improve usability for these target populations.
This paper presents the results of a real-world deployment of an IVR application for collecting feedback from teachers in rural Uganda. Automated IVR data collection calls were delivered to over 150 teachers over a period of several months. Modifications were made to the IVR interface throughout the study period in response to user interviews and recorded transcripts of survey calls. Significant differences in task success rate were observed for different interface designs (from 0% to over 75% success). Notably, most participants were not able to use a touchtone or touchtone-voice hybrid interface without prior training. A set of design recommendations is proposed based on the performance of several tested interface designs. |
| first_indexed | 2024-09-23T15:13:29Z |
| format | Article |
| id | mit-1721.1/73000 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:13:29Z |
| publishDate | 2012 |
| publisher | Association for Computing Machinery |
| record_format | dspace |
| spelling | mit-1721.1/730002022-10-02T01:28:03Z Evaluation of IVR data collection UIs for untrained rural users Lerer, Adam Ward, Molly Amarasinghe, Saman P. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Amarasinghe, Saman P. Amarasinghe, Saman P. Lerer, Adam Due to the rapid spread of mobile phones and coverage in the developing world, mobile phones are being increasingly used as a technology platform for developing-world applications including data collection. In order to reach the vast majority of mobile phone users without access to specialized software, applications must make use of interactive voice response (IVR) UIs. However, it is unclear whether rural users in the developing world can use such UIs without prior training or IVR experience; and if so, what UI design choices improve usability for these target populations. This paper presents the results of a real-world deployment of an IVR application for collecting feedback from teachers in rural Uganda. Automated IVR data collection calls were delivered to over 150 teachers over a period of several months. Modifications were made to the IVR interface throughout the study period in response to user interviews and recorded transcripts of survey calls. Significant differences in task success rate were observed for different interface designs (from 0% to over 75% success). Notably, most participants were not able to use a touchtone or touchtone-voice hybrid interface without prior training. A set of design recommendations is proposed based on the performance of several tested interface designs. 2012-09-17T16:05:28Z 2012-09-17T16:05:28Z 2010-12 Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-0473-3 Article No. 2 http://hdl.handle.net/1721.1/73000 Lerer, Adam, Molly Ward, and Saman Amarasinghe. “Evaluation of IVR Data Collection UIs for Untrained Rural Users.” Proceedings of the First ACM Symposium on Computing for Development, ACM DEV’10, December 17–18, 2010, London, United Kingdom, ACM Press, 2010. 1. Web. https://orcid.org/0000-0002-7231-7643 en_US http://dx.doi.org/10.1145/1926180.1926183 Proceedings of the First ACM Symposium on Computing for Development, ACM DEV '10 Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Association for Computing Machinery Other Repository |
| spellingShingle | Lerer, Adam Ward, Molly Amarasinghe, Saman P. Evaluation of IVR data collection UIs for untrained rural users |
| title | Evaluation of IVR data collection UIs for untrained rural users |
| title_full | Evaluation of IVR data collection UIs for untrained rural users |
| title_fullStr | Evaluation of IVR data collection UIs for untrained rural users |
| title_full_unstemmed | Evaluation of IVR data collection UIs for untrained rural users |
| title_short | Evaluation of IVR data collection UIs for untrained rural users |
| title_sort | evaluation of ivr data collection uis for untrained rural users |
| url | http://hdl.handle.net/1721.1/73000 https://orcid.org/0000-0002-7231-7643 |
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