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Journal articles on the topic 'Interactive Voice Response'

To see the other types of publications on this topic, follow the link: Interactive Voice Response.

Author: Grafiati

Published: 4 June 2021

Last updated: 25 January 2023

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1

Chernov, A. D., and M. V. Krivov. "INTERACTIVE VOICE RESPONSE SYSTEM." Modern Technologies and Scientific and Technological Progress 1, no. 1 (April 12, 2019): 174–75. http://dx.doi.org/10.36629/2686-9896/2019-1-1-174-175.

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Brahme, Natasha, Ayushi Malhotra, Harsh Panchal, Chirag Waghela, and Dr Kotak V.C. "Interactive Voice Response Kiosk." IJARCCE 6, no. 3 (March 30, 2017): 267–69. http://dx.doi.org/10.17148/ijarcce.2017.6360.

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3

Hammond, Dan. "Extensible Interactive Voice Response." Journal of the Acoustical Society of America 130, no. 1 (2011): 640. http://dx.doi.org/10.1121/1.3615775.

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4

Abanoz, Hüseyin, and Özgür Erbaş. "Mass-IVR — A High Performance Outbound Interactive Voice Response Management System." International Journal of Computer Theory and Engineering 8, no. 4 (August 2016): 295–98. http://dx.doi.org/10.7763/ijcte.2016.v8.1061.

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5

LaVigne, Marnie, and Kent A. Tapper. "Interactive Voice Response in Disease Management." Disease Management and Health Outcomes 4, no. 1 (1998): 1–16. http://dx.doi.org/10.2165/00115677-199804010-00001.

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6

KumarSingh, Sharad. "XML based Interactive Voice Response System." International Journal of Computer Applications 74, no. 14 (July 26, 2013): 31–35. http://dx.doi.org/10.5120/12955-0078.

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7

Poultney, Timothy David. "Interactive voice response method and apparatus." Journal of the Acoustical Society of America 128, no. 6 (2010): 3829. http://dx.doi.org/10.1121/1.3544458.

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8

Aditee, Desale. "Interactive Voice Response Based Voting Systemd." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 3 (2015): 1048–51. http://dx.doi.org/10.17762/ijritcc2321-8169.150333.

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9

., Mahammad Rafi. "SPEECH ENABLED INTERACTIVE VOICE RESPONSE SYSTEM." International Journal of Research in Engineering and Technology 05, no. 01 (January 25, 2016): 190–92. http://dx.doi.org/10.15623/ijret.2016.0501038.

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10

Coxhead, Philip Randall. "Controlling interactive voice response system performance." Journal of the Acoustical Society of America 112, no. 5 (2002): 1741. http://dx.doi.org/10.1121/1.1526578.

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Pradani, Winangsari. "Struktur Pesan pada Interactive Voice Response (IVR)." JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 1, no. 1 (April 4, 2011): 13. http://dx.doi.org/10.36722/sst.v1i1.13.

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Interactive Voice Response (IVR) is an automated telephony system that interacts with callers, gathers information and routes calls to the appropriate recipient. An IVR system (IVRS) accepts a combination of voice telephone input and touch-tone keypad selection and provides appropriate responses in the form of voice, fax, callback, e-mail and perhaps other media. In recent years, many enterprises use IVR as their customer service media. Some problems arise as user problems, that is user have to remembering the too many choices; user does’nt achieve what they want (did not find the right choices); and the worst is tiring finding choices yet they have not find the human operator. This paper will observe the effect of message structuring for IVR customer satisfication. Human information processing (especially audio-based information) theory as well as menu organizing theory will be used as analysis fundamentals. Questionnaire will be distributed to IVR users to grab the real user experience<strong>.</strong>

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12

Dickson, Craig B. "Text to Speech Interactive Voice Response System." Journal of the Acoustical Society of America 130, no. 2 (2011): 1087. http://dx.doi.org/10.1121/1.3625678.

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13

Boren, Rebecca W., and William C. Moor. "Some Appealing Applications of Interactive Voice Response." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 45, no. 5 (October 2001): 557–61. http://dx.doi.org/10.1177/154193120104500503.

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14

McDaniel, Anna M. "Interactive Voice Response Technology for Outcomes Monitoring." Clinical Nurse Specialist 18, no. 1 (January 2004): 7–8. http://dx.doi.org/10.1097/00002800-200401000-00003.

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15

Tweheyo, Raymond, Hannah Selig, Dustin G. Gibson, George William Pariyo, and Elizeus Rutebemberwa. "User Perceptions and Experiences of an Interactive Voice Response Mobile Phone Survey Pilot in Uganda: Qualitative Study." JMIR Formative Research 4, no. 12 (December 3, 2020): e21671. http://dx.doi.org/10.2196/21671.

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Background With the growing burden of noncommunicable diseases in low- and middle- income countries, the World Health Organization recommended a stepwise approach of surveillance for noncommunicable diseases. This is expensive to conduct on a frequent basis and using interactive voice response mobile phone surveys has been put forth as an alternative. However, there is limited evidence on how to design and deliver interactive voice response calls that are robust and acceptable to respondents. Objective This study aimed to explore user perceptions and experiences of receiving and responding to an interactive voice response call in Uganda in order to adapt and refine the instrument prior to national deployment. Methods A qualitative study design was used and comprised a locally translated audiorecorded interactive voice response survey delivered in 4 languages to 59 purposively selected participants' mobile phones in 5 survey rounds guided by data saturation. The interactive voice response survey had modules on sociodemographic characteristics, physical activity, fruit and vegetable consumption, diabetes, and hypertension. After the interactive voice response survey, study staff called participants back and used a semistructured interview to collect information on the participant’s perceptions of interactive voice response call audibility, instruction clarity, interview pace, language courtesy and appropriateness, the validity of questions, and the lottery incentive. Descriptive statistics were used for the interactive voice response survey, while a framework analysis was used to analyze qualitative data. Results Key findings that favored interactive voice response survey participation or completion included preference for brief surveys of 10 minutes or shorter, preference for evening calls between 6 PM and 10 PM, preference for courteous language, and favorable perceptions of the lottery-type incentive. While key findings curtailing participation were suspicion about the caller’s identity, unclear voice, confusing skip patterns, difficulty with the phone interface such as for selecting inappropriate digits for both ordinary and smartphones, and poor network connectivity for remote and rural participants. Conclusions Interactive voice response surveys should be as brief as possible and considerate of local preferences to increase completion rates. Caller credibility needs to be enhanced through either masking the caller or prior community mobilization. There is need to evaluate the preferred timing of interactive voice response calls, as the finding of evening call preference is inconclusive and might be contextual.

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Evans, Rochelle E., and Philip Kortum. "The impact of voice characteristics on user response in an interactive voice response system." Interacting with Computers 22, no. 6 (November 2010): 606–14. http://dx.doi.org/10.1016/j.intcom.2010.07.001.

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Ahmed, Imran, and Sunil Kumar Kopparapu. "Interactive Voice Response Mashup System for Service Enhancement." Recent Patents on Telecommunication 1, no. 2 (March 31, 2013): 100–108. http://dx.doi.org/10.2174/2211740711201020003.

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Gruenewald, Paul J., John Searles, John Helzer, and Gary J. Badger. "Exploring drinking dynamics using interactive voice response technology." Journal of Studies on Alcohol 66, no. 4 (July 2005): 571–76. http://dx.doi.org/10.15288/jsa.2005.66.571.

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19

Ruikar, Vrishabhsagar. "Interactive Voice/Web Response System in clinical research." Perspectives in Clinical Research 7, no. 1 (2016): 15. http://dx.doi.org/10.4103/2229-3485.173781.

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20

Mundt, James C., Philip F. Kelleher, M. W. Perrine, and John S. Searles. "Psychological performance assessment via interactive voice response systems." Behavior Research Methods, Instruments, & Computers 29, no. 4 (December 1997): 506–18. http://dx.doi.org/10.3758/bf03210602.

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21

Corkrey, Ross, and Lynne Parkinson. "Interactive voice response: Review of studies 1989–2000." Behavior Research Methods, Instruments, & Computers 34, no. 3 (August 2002): 342–53. http://dx.doi.org/10.3758/bf03195462.

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22

Killam, Bill, and Marguerite Autry. "Human Factors Guidelines for Interactive Voice Response Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 3 (July 2000): 391–94. http://dx.doi.org/10.1177/154193120004400308.

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23

Miller, Delyana Ivanova, France Aubé, Vincent Talbot, Michèle Gagnon, and Claude Messier. "Older People's Attitudes Toward Interactive Voice Response Systems." Telemedicine and e-Health 20, no. 2 (February 2014): 152–56. http://dx.doi.org/10.1089/tmj.2013.0028.

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24

Mundt, James C., Peter J. Snyder, Michael S. Cannizzaro, Kara Chappie, and Dayna S. Geralts. "Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology." Journal of Neurolinguistics 20, no. 1 (January 2007): 50–64. http://dx.doi.org/10.1016/j.jneuroling.2006.04.001.

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25

Tan, Hongying, and Mengling Yan. "Physician-user interaction and users' perceived service quality: evidence from Chinese mobile healthcare consultation." Information Technology & People 33, no. 5 (June 27, 2020): 1403–26. http://dx.doi.org/10.1108/itp-01-2019-0039.

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PurposeThe significance of physician-user interaction has been widely acknowledged in offline and online healthcare consultation. However, limited attempts have been made to explore the influence of physician-user interaction on users' perceived service quality (PSQ) in the mobile context. Based on the literature on physician-user interaction and media synchronicity theory, this study proposes a theoretical model where the interactive factors common across the offline, online and mobile context, i.e. physicians' informational support and emotional support, the interactive factors unique in the mobile context, i.e. physicians' response speed and voice service, and the interaction between the two categories of interactive factors predict users' PSQ in mobile consultation.Design/methodology/approachThis study collects consultation records between 25,225 users and 738 physicians from a leading Chinese mobile consultation application, and employs linear regression to verify the proposed theoretical model.FindingsPhysicians' informational, emotional support, response speed and voice service are found to have significant positive impacts on users' PSQ. Besides, physicians' response speed strengthens the positive impacts of physicians' informational and emotional support on users' PSQ, while physicians' voice service weakens the positive link between physicians' informational support on users' PSQ.Originality/valueThis study contributes to the antecedents for users' PSQ in mobile consultation by identifying unique interactive factors in the mobile context, and highlighting the individual and interaction effects of different physician-user interactive factors. Besides, this study employs novel methods, which leverages text classification and text pattern recognition to more accurately depict physicians' online behaviors based on objective communication records.

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26

Evans, Rochelle E., and Philip Kortum. "Voice Personalities Inducing Trust and Satisfaction in a Medical Interactive Voice Response System." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 53, no. 18 (October 2009): 1456–60. http://dx.doi.org/10.1177/154193120905301861.

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27

Crawford, Albert G., Vanja Sikirica, Neil Goldfarb, Richard G. Popiel, Minalkumar Patel, Cheng Wang, Jeffrey B. Chu, and David B. Nash. "Interactive Voice Response Reminder Effects on Preventive Service Utilization." American Journal of Medical Quality 20, no. 6 (November 2005): 329–36. http://dx.doi.org/10.1177/1062860605281176.

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28

Garcia-Gonzalez, Araceli, Patricia Ault, Loretta A. Williams, Janet L. Williams, Charles S. Cleeland, and Jorge E. Cortes. "Interactive voice response system compliance in chronic myeloid leukemiapopulation." Journal of Clinical Oncology 30, no. 15_suppl (May 20, 2012): e19589-e19589. http://dx.doi.org/10.1200/jco.2012.30.15_suppl.e19589.

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e19589 Background: Recent advances in telecommunication technology have created sophisticated systems to support and evaluate chronic disease. The telephone-based interactive voice response system (IVRS) is a simple method of delivering specific health information to patients and allowing them to interact with care providers. The IVRS has been used to monitor chronic conditions such as cancer, diabetes, asthma, hypertension, and psychiatric disorders. Our study aimed to evaluate patient adherence to routine IVRS symptom assessment in chronic myeloid leukemia (CML). Methods: We conducted a longitudinal study in patients with a diagnosis of Philadelphia chromosome-positive CML treated at a tertiary cancer center. We collected IVRS data every 2 weeks for 6 months. Upon recruitment, patients were trained to use the IVRS and selected preferred days and times to receive IVRS calls. The IVRS asked patients to rate symptoms using the M. D. Anderson Symptom Inventory CML module (MDASI-CML), which assesses 20 symptom items and 6 interference items on a 0-10 scale (0 = not present and 10 = symptom as bad as you can imagine or complete intereference). Compliance equaled the number of answered IVRS calls divided by total calls for that patient. Univariate analysis examined associations between IVRS compliance and various demographic, clinical, and treatment variables. Results: Of 160 patients enrolled in the study, 12 withdrew and were excluded from analysis. Mean age of the sample was 51 years (SD 13.7); most were female (54%) and white non-Hispanic (74%). We collected 1,197 MDASI-CML assessments overall and found a 66% compliance rate. Almost one-third (29.7%) of the patients had 100% compliance; 10% answered no IVRS calls. IVRS compliance was statistically significantly associated with marital status (p=.016) and ethnic group (p=.045). Patients who were married or white were more likely to answer IVRS calls. Conclusions: 66% of our sample answered every IVRS call. The IVRS could be extremely useful for population survey research. It should be especially useful for assessing symptoms in chronic disease over time. More studies are needed to evaluate the utility of capturing symptom clinical trials status via the IVRS in the cancer population.

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29

Firdaus, M., Warnia Nengsih, and Ibnu Surya. "Call Center Technology and Interactive Voice Response Based VoIP." Advanced Science Letters 20, no. 10 (October 1, 2014): 2030–33. http://dx.doi.org/10.1166/asl.2014.5672.

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30

Coyle, Wendy-Ann, and Stephen James Haskey. "Method and apparatus for an interactive voice response system." Journal of the Acoustical Society of America 123, no. 6 (2008): 4038. http://dx.doi.org/10.1121/1.2942451.

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31

Lee, Haeok, Mary Ellen Friedman, Peter Cukor, and David Ahern. "Interactive voice response system (IVRS) in health care services." Nursing Outlook 51, no. 6 (December 2003): 277–83. http://dx.doi.org/10.1016/s0029-6554(03)00161-1.

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32

Assmann, Susan F., Alon Bodnya, Susan Staples Smith, and Foss Tighe. "A52 An interactive voice response system for randomizing patients." Controlled Clinical Trials 17, no. 2 (April 1996): S68—S69. http://dx.doi.org/10.1016/0197-2456(96)84583-1.

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33

Abdel-Monem, Mohamed, and Tarek Hegazy. "Enhancing Construction As-Built Documentation Using Interactive Voice Response." Journal of Construction Engineering and Management 139, no. 7 (July 2013): 895–98. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000648.

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34

Miller, Delyana Ivanova, Halina Bruce, Michèle Gagnon, Vincent Talbot, and Claude Messier. "Improving Older Adults' Experience with Interactive Voice Response Systems." Telemedicine and e-Health 17, no. 6 (July 2011): 452–55. http://dx.doi.org/10.1089/tmj.2010.0204.

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35

Schroder, Kerstin E. E., and Christopher J. Johnson. "Interactive voice response technology to measure HIV-related behavior." Current HIV/AIDS Reports 6, no. 4 (October 14, 2009): 210–16. http://dx.doi.org/10.1007/s11904-009-0028-6.

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36

Greenleaf, Abigail R., Aliou Gadiaga, Yoonjoung Choi, Georges Guiella, Shani Turke, Noelle Battle, Saifuddin Ahmed, and Caroline Moreau. "Automated and Interviewer-Administered Mobile Phone Surveys in Burkina Faso: Sociodemographic Differences Among Female Mobile Phone Survey Respondents and Nonrespondents." JMIR mHealth and uHealth 8, no. 7 (July 14, 2020): e17891. http://dx.doi.org/10.2196/17891.

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Background The remarkable growth of cell phone ownership in low- and middle-income countries has generated significant interest in using cell phones for conducting surveys through computer-assisted telephone interviews, live interviewer-administered surveys, or automated surveys (ie, interactive voice response). Objective This study aimed to compare, by mode, the sociodemographic characteristics of cell phone owners who completed a follow-up phone survey with those who did not complete the survey. Methods The study was based on a nationally representative sample of women aged 15 to 49 years who reported cell phone ownership during a household survey in Burkina Faso in 2016. Female cell phone owners were randomized to participate in a computer-assisted telephone interview or hybrid interactive voice response follow-up phone survey 11 months after baseline interviews. Completion of the phone survey was defined as participants responding to more than 50% of questions in the phone survey. We investigated sociodemographic characteristics associated with cell phone survey completion using multivariable logistic regression models, stratifying the analysis by survey mode and by directly comparing computer-assisted telephone interview and hybrid interactive voice response respondents. Results A total of 1766 women were called for the phone survey between November 5 and 17, 2017. In both the computer-assisted telephone interview and hybrid interactive voice response samples, women in urban communities and women with secondary education or higher were more likely to complete the survey than their rural and less-educated counterparts. Compared directly, women who completed the hybrid interactive voice response survey had higher odds of having a secondary education than those who completed computer-assisted telephone interviews (odds ratio 1.7, 95% CI 1.1-2.6). Conclusions In Burkina Faso, computer-assisted telephone interviews are the preferred method of conducting cell phone surveys owing to less sample distortion and a higher response rate compared with a hybrid interactive voice response survey.

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37

Mayo, Niki, Brenna Muldavin, and Douglas B. Currivan. "Does Voice Matter for Youth Reports of Tobacco Use? An Interactive Voice Response Experiment." Survey Practice 7, no. 3 (June 1, 2014): 1–6. http://dx.doi.org/10.29115/sp-2014-0016.

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38

Gbenga Ayodeji Gbotoso, Abayomi Olukayode Ajayi, Oluwatosin Abayomi Ademodi, Olufemi Sobowale Soneye, Oluwole Olakunle Green, and Ibrahim Oluwaseun Kadiri. "Implementation of interactive voice response voting system using wireless communication." World Journal of Advanced Engineering Technology and Sciences 6, no. 1 (June 30, 2022): 065–72. http://dx.doi.org/10.30574/wjaets.2022.6.1.0068.

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Recently, information technology has greatly impacted positively in all aspects of life, which actually with proven facts to a large extent, includes politics. The most recent method which is being adopted is the electronic voting (E-voting) system which is based on the use of mobile phone by the voters. To develop more on the electronic voting system, a secured and reliable e-voting system was put in place. This system protects the privacy of the voter, which is user friendly and can be used anywhere in the world with internet coverage during the time of election. A voice interactive voting system using the global system mobile device was developed with implementation of a dual tone multiple frequency (DTMF) decoder which makes the whole system interactive. The method adopted in this research work was the use of a program written in c-language and a microcontroller to control the whole process of voting based on DTMF technology. This method was use to overcome the problem involve in the use of paper ballots. This development came about as a result of the outcome of a study of the electoral process carried out in the electoral commission of Nigeria. Two data-bases would be created by the database administrator; the first is to keep a record of the voter’s information and the second database will have information about the election parties.

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39

Corkrey, Ross, Lynne Parkinson, Lucy Bates, Sue Green, and Aye Thidar Htun. "Pilot of a novel cervical screening intervention: interactive voice response." Australian and New Zealand Journal of Public Health 29, no. 3 (June 2005): 261–64. http://dx.doi.org/10.1111/j.1467-842x.2005.tb00765.x.

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40

Salcedo-Sanz, Sancho, Maurizio Naldi, Ángel M. Perez-Bellido, Jose A. Portilla-Figueras, and Emilio G. Ortiz-Garcia. "Evolutionary Optimization of Service Times in Interactive Voice Response Systems." IEEE Transactions on Evolutionary Computation 14, no. 4 (August 2010): 602–17. http://dx.doi.org/10.1109/tevc.2009.2039142.

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41

Alemagno, Sonia, Scott Frank, Maghboeba Mosavel, and John Butts. "Screening Adolescents for Health Risks Using Interactive Voice Response Technology." Computers in Human Services 15, no. 4 (April 22, 1999): 27–37. http://dx.doi.org/10.1300/j407v15n04_03.

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42

Paterik, Thomas L. "Method and system for operating interactive voice response systems tandem." Journal of the Acoustical Society of America 123, no. 2 (2008): 597. http://dx.doi.org/10.1121/1.2857719.

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Cohen-Cline, Hannah, Karen J. Wernli, Susan C. Bradford, Mary Boles-Hall, and David C. Grossman. "Use of Interactive Voice Response to Improve Colorectal Cancer Screening." Medical Care 52, no. 6 (June 2014): 496–99. http://dx.doi.org/10.1097/mlr.0000000000000116.

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Kopylov, Andrei, Oleg Seredin, Andrei Filin, and Boris Tyshkevich. "Detection of interactive voice response (IVR) in phone call records." International Journal of Speech Technology 23, no. 4 (November 17, 2020): 907–15. http://dx.doi.org/10.1007/s10772-020-09754-3.

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Khudyakov, Polyna, Paul D. Feigin, and Avishai Mandelbaum. "Designing a call center with an IVR (Interactive Voice Response)." Queueing Systems 66, no. 3 (October 14, 2010): 215–37. http://dx.doi.org/10.1007/s11134-010-9193-y.

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Abu-Hasaballah, Khamis, Amy James, and Robert H. Aseltine. "Lessons and pitfalls of interactive voice response in medical research." Contemporary Clinical Trials 28, no. 5 (September 2007): 593–602. http://dx.doi.org/10.1016/j.cct.2007.02.007.

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Ram, Manasi, Bharti W., and S. C. Mehrotra. "Marathi Interactive Voice Response System (IVRS) using MFCC and DTW." International Journal of Computer Applications 125, no. 15 (September 17, 2015): 38–43. http://dx.doi.org/10.5120/ijca2015906242.

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LeFort, S. M. "Therapeutic Interactive Voice Response enhanced CBT gains in chronic pain." Evidence-Based Nursing 11, no. 3 (July 1, 2008): 79. http://dx.doi.org/10.1136/ebn.11.3.79.

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Soman, Arun, Arun Soman, and Hemanth V. K. "Corpus Driven Malayalam TexttoSpeech Synthesis for Interactive Voice Response System." International Journal of Computer Applications 29, no. 4 (September 29, 2011): 41–46. http://dx.doi.org/10.5120/3551-4871.

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Heapy, Alicia A., Diana M. Higgins, Joseph L. Goulet, Kathryn M. LaChappelle, Mary A. Driscoll, Rebecca A. Czlapinski, Eugenia Buta, John D. Piette, Sarah L. Krein, and Robert D. Kerns. "Interactive Voice Response–Based Self-management for Chronic Back Pain." JAMA Internal Medicine 177, no. 6 (June 1, 2017): 765. http://dx.doi.org/10.1001/jamainternmed.2017.0223.

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