Relevant bibliographies by topics / Interactive voice response (IVR)

Academic literature on the topic 'Interactive voice response (IVR)'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Interactive voice response (IVR)"

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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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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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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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Shaw, William S., and Santosh K. Verma. "Data Equivalency of an Interactive Voice Response System for Home Assessment of Back Pain and Function." Pain Research and Management 12, no. 1 (2007): 23–30. http://dx.doi.org/10.1155/2007/185863.

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BACKGROUND: Interactive voice response (IVR) systems that collect survey data using automated, push-button telephone responses may be useful to monitor patients’ pain and function at home; however, its equivalency to other data collection methods has not been studied.OBJECTIVES: To study the data equivalency of IVR measurement of pain and function to live telephone interviewing.METHODS: In a prospective cohort study, 547 working adults (66% male) with acute back pain were recruited at an initial outpatient visit and completed telephone assessments one month later to track outcomes of pain, function, treatment helpfulness and return to work. An IVR system was introduced partway through the study (after the first 227 participants) to reduce the staff time necessary to contact participants by telephone during nonworking hours.RESULTS: Of 368 participants who were subsequently recruited and offered the IVR option, 131 (36%) used IVR, 189 (51%) were contacted by a telephone interviewer after no IVR attempt was made within five days, and 48 (13%) were lost to follow-up. Those with lower income were more likely to use IVR. Analysis of outcome measures showed that IVR respondents reported comparatively lower levels of function and less effective treatment, but not after controlling for differences due to the delay in reaching non-IVR users by telephone (mean: 35.4 versus 29.2 days).CONCLUSIONS: The results provided no evidence of information or selection bias associated with IVR use; however, IVR must be supplemented with other data collection options to maintain high response rates.
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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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Mittal, Akhil. "Manual Testing and Quality Monitoring of Interactive Voice Response (IVR) applications." International Journal of Computer Applications 4, no. 6 (July 10, 2010): 30–36. http://dx.doi.org/10.5120/830-1124.

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Kepple, Nancy J., Bridget Freisthler, and Michelle Johnson-Motoyama. "Bias in child maltreatment self-reports using interactive voice response (IVR)." Child Abuse & Neglect 38, no. 10 (October 2014): 1694–705. http://dx.doi.org/10.1016/j.chiabu.2014.04.001.

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Gardner-Bonneau, Daryle, Cristina Delogu, Chuck Green, Lydia Volaitis, Martha Lindeman, and Lila Laux. "Interactive Voice Response (IVR) Systems as Automatic Speech Recognition (ASR) Comes of Age." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 4 (October 1998): 444–47. http://dx.doi.org/10.1177/154193129804200409.

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While interactive voice response (IVR) systems were rapidly making their way into the workplace, speech scientists were working hard to improve the performance of automatic speech recognition (ASR) systems to foster their acceptance among potential customers. In the last five years, great strides have been made in this regard, and the commercial use ASR is on the rise. The purpose of this panel is to explore the impact that ASR is (or is not) having on the design of IVR systems that were envisioned originally to operate solely via touch-tone input.
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Forrester, Mathias B., John F. Villanacci, and Norma Valle. "Use of Interactive Voice Response Technology by Poison Centers during the H1N1 Outbreak." Prehospital and Disaster Medicine 25, no. 5 (October 2010): 415–18. http://dx.doi.org/10.1017/s1049023x00008475.

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AbstractIntroduction:Interactive voice response (IVR) technology may facilitate poison centers to handle increased call volumes that may occur during public health emergencies. On 28 April 2009, the Texas Poison Center Network (TPCN) added a H1N1 message in English and Spanish to its IVR system. This study tested whether IVR technology could be used to assist Texas poison centers during the H1N1 outbreak.Methods:The distribution of callers who accessed the H1N1 message during 29 April–31 May 2009 was determined with respect to message language, subsequent caller action, and date of the call.Results:The H1N1 message was accessed by 1,142 callers, of whom, 92.9% listened to the message in English, and 7.1% listened to the message in Spanish. After listening to the message, 33.3% hung up while 66.7% spoke to a poison center agent. The number of callers who accessed the message was highest on 29 April 2009 and then declined.Conclusions:Interactive voice response technology can be used to assist poison centers to provide information and handle calls from the public during a public health emergency.
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Dissertations / Theses on the topic "Interactive voice response (IVR)"

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Brunk, Alexander Crowley. "Interactive Voice Response Polling in Election Campaigns." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/51239.

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Since the early 2000s, Interactive Voice Response (IVR) has become a widely popular method of conducting public opinion surveys in the United States. IVR surveys use an automated computer voice to ask survey questions and elicit responses in place of a live interviewer. Previous studies have shown that IVR polls conducted immediately before elections are generally accurate, but have raised questions as to their validity in other contexts. This study examines whether IVR polls generate measurably different levels of candidate support when compared to live interviewer polls, as a result of non-response bias owing to lower response rates in IVR surveys. It did so by comparing polling in 2010 U.S. gubernatorial and U.S. Senate elections that was conducted using both live interviewers and IVR. The findings suggest that in general elections, IVR polls find fewer undecided voters compared to surveys conducted using live interviewers. In primary elections, IVR polls can show larger support than live interview polls for a more ideologically extreme candidate who has high levels of support among more opinionated and engaged voters. Implications are that journalists and other consumers of polling data should take into account whether a poll was conducted using IVR or live interviewers when interpreting results. IVR polls may tend to over-sample more engaged and opinionated voters, often resulting in smaller percentages of undecided respondents, and higher levels of support for specific candidates in certain contexts.
Master of Arts
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Campbell, Nicole M. "Interactive Voice Response Systems and Reductions in Substance Use in Adults." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1258698677.

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Commarford, Patrick. "WORKING MEMORY, SEARCH, AND SIGNAL DETECTION: IMPLICATIONS FOR INTERACTIVE VOICE RESPONSE SYSTEM MENU DESIGN." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4050.

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Many researchers and speech user interface practitioners assert that interactive voice response (IVR) menus must be relatively short due to constraints of the human memory system. These individuals commonly cite Miller's (1956) paper to support their claims. The current paper argues that these authors commonly misuse the information provided in Miller's paper and that hypotheses drawn from modern theories of working memory (e.g., Baddeley and Hitch, 1974) would lead to the opposite conclusion – that reducing menu length by creating a greater number of menus and a deeper structure will actually be more demanding on users' working memories and will lead to poorer performance and poorer user satisfaction. The primary purpose of this series of experiments was to gain a greater understanding of the role of working memory in speech-enabled IVR use. The experiments also sought to determine whether theories of visual search and signal detection theory (SDT) could be used to predict auditory search behavior. Results of this experiment indicate that creating a deeper structure with shorter menus is detrimental to performance and satisfaction and more demanding of working memory resource. Further the experiment provides support for arguments developed from Macgregor, Lee, and Lam's dual criterion decision model and is a first step toward applying SDT to the IVR domain.
Ph.D.
Department of Psychology
Arts and Sciences
Psychology
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Miller, Delyana Ivanova. "Interactive Voice Response Systems and Older Adults: Examination of the Cognitive Factors Related to Successful IVR Interaction and Proof-of-Principle of IVR Administration and Scoring of Neuropsychological Tests." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24294.

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The main goal of this project was to enhance the use and usability of Interactive Voice Response Systems (IVR) for older people. The objective of study one was to examine older people’s perceptions of the technology and identify the most common difficulties experienced by older people when interactive with IVR using focus groups. Twenty-six people aged 65 and older took part in the study. Data were analyzed using frequency and chi square analyses. The results revealed negative attitudes towards the technology. Long menus, frustration about not being able to reach an operator and absence of shortcuts were some of the most common difficulties reported by participants. Study two examined the cognitive factors predicting successful IVR interaction in four commercially available IVR systems in a sample of 185 older adults. Linear regressions were performed on the data. Results indicated that working memory and auditory memory were the best predictors of successful IVR interaction. Using the same sample of participants as study two, study three examined older adults’ attitudes towards the four IVR systems in relation to their success in interacting with the technology. The study also evaluated the impact of gender on success and attitudes towards IVR. There was a significant positive correlation between success with IVR and favorable attitudes towards the technology. No gender differences emerged in both performance on IVR tasks and attitudes towards the technology. Study four evaluated the feasibility of using a voice-activated IVR to administer and score three short neuropsychological tests using a sub sample of the original sample of 185 older adults involved in study two and three. One hundred and fifty eight participants took part in the study. Results showed high correlations between the IVR and clinician scoring of the three tests. Nevertheless, a number of discrepancies and technical issues were discovered.
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Ndwe, Tembalethu Jama. "Usability engineering of interactive voice responsive (IVR) systems in oral users of Southern Africa." Doctoral thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/10582.

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Includes bibliographical references (p. 96-109).
This research study focuses on the feasibility of using the telephone as a tool for information access in the oral communities of Southern Africa. The OpenPhone and BGR systems are used as case studies and their designs have been influenced by field studies with the targeted users. The OpenPhone project aims to design an Interactive Voice Response (IVR) health information system that enables people who are caregivers for HIV/AIDS infected children to access relevant care-giving information by using a telephone in their native language of Setswana in Botswana, Southern Africa. The BGR system allows soccer fans to access results of recently played matches in Premier Soccer League (PSL) of South Africa.
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Lundy, John Jason. "Assessing Psychometric Equivalence of Paper-and-Pencil and Interactive Voice Response (IVR) Modes of Administration for the EQ-5D and the QLQ-C30." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/193902.

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Electronic data capture technologies, such as interactive voice response (IVR) systems, are emerging as important alternatives for collecting self-reported data. The purpose of this research was to assess the measurement equivalence between the original paper-based versions and the adapted interactive voice response (IVR) versions of the EQ-5D and the QLQ-C30. Furthermore, we examined the test-retest reliability of two consecutive administrations of the IVR versions of the EQ-5D and the QLQ-C30. The comparison of the paper and IVR versions of the EQ-5D was conducted utilizing a crossover design with subjects randomly assigned to one of two assessment orders: 1) paper then IVR or 2) IVR then paper. A convenience sample of in-treatment outpatient cancer clinic patients (n=139) were asked to complete each assessment two days apart. For the test-retest component, outpatient cancer clinic patients (n=127) were asked to complete the IVR-based EQ-5D twice, two days apart. The analyses tested for mean differences (paired t-test) and test-retest reliability (ICC).In the crossover analysis, ten of the fifteen mean differences analyzed for the scales and items of the QLQ-C30 were within the equivalence interval set a priori. The ICCs for the scales and items of the QLQ-C30 ranged from 0.698 to 0.899. Two of the items, insomnia and appetite loss, did not meet our threshold of being statistically different from an ICC of 0.70. The EQ-5D index score means were equivalent between paper and IVR, however the EQ VAS score differences were not wholly contained in the equivalence interval. The ICCs were above 0.890 for the index and the EQ VAS. In the test-retest analysis, the ICCs for the nine multi-item scales for the QLQ-C30 were all above 0.69, ranging from 0.698 to 0.891. Ten of the fifteen mean differences analyzed were within the equivalence interval set a priori. For the EQ-5D, the mean differences were wholly contained within the equivalence intervals for both the index and the EQ VAS and the ICCs were significantly different from 0.70. Overall, the IVR version of the questionnaires provided psychometrically equivalent results to those obtained on the original paper version and showed good stability over time.
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Brown, Deana. "Designing technologies to support migrants and refugees." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53849.

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Families migrate to improve their outcomes, however the process is very disruptive. My research asks and answers the question can scaffolding communication through technology mitigate the disruption caused to families by migration, and if so, how? In my work I have explored two forms of disruptive family migration—parental migration (where parents and children live in separate countries) and refugee resettlement (resulting from forced migration). In both forms, families are embedded in support networks of individuals they rely on to minimize vulnerabilities faced post-migration and to rebuild a stable family structure. My empirical results revealed barriers (distance, language, literacy and so forth) that render the communication between families and their support network less than effective. Through participatory approaches, I then design and evaluate separately, two systems to mitigate the barriers and improve communication in the various support networks. The end contributions of my work include: i) contributing a nascent agenda on migration for Human-Computer Interaction (HCI) and related fields through providing an increased understanding of the challenges that limit the livelihoods of migration-separated and refugee families; ii) demonstrating two communication scaffolding systems for transient use by migrants to mitigate communication barriers--- time and distance on one hand (to support transnational home-school communication) and language and literacy on the other (through mediated human-in-the-loop voice translations for everyday interactions with refugees); iii) putting forth a reflection on methods to guide others seeking to work with similar groups and establishing the notion of designing for transient use in the development of systems to scaffold communication.
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Jiang, Chaomei. "Integration of interactive voice response unit and outage management system." [Denver, Colo.] : Regis University, 2005. http://165.236.235.140/lib/CJiang2005.pdf.

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Kenttälä, K. (Kalle). "Interactive voice response system and eye-tracking interface in assistive technology for disabled." Bachelor's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201905282194.

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Abstract. The development of ICT has been very fast in the last few decades and it is important that everyone can benefit from this progress. It is essential for designing user interfaces to keep up on this progress and ensure the usability and accessibility of new innovations. The purpose of this academic literature review has been to study the basics of multimodal interaction, emphasizing on context with multimodal assistive technology for disabled people. From various modalities, interactive voice response and eye-tracking were chosen for analysis. The motivation for this work is to study how technology can be harnessed for assisting disabled people in daily life.
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Chengegowda, Venkatesh. "Analysis of Queues for Interactive Voice and Video Response Systems : Two Party Video Calls." Thesis, KTH, Kommunikationssystem, CoS, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102451.

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Video conversation on mobile devices is popularizing with the advent of 3G. The enhanced network capacity thus available enables transmission of video data over the internet. It has been forecasted by several VOIP service organizations that the present IVR systems will evolve into Voice and Video Response (IVVR) Systems. However, this evolution has many technical challenges on the way. Architectures to implement queuing systems for video data and standards for inter conversion of video data between the formats supported by calling parties are two of these challenges. This thesis is an analysis of queues and media transcoding for IVVRs. A major effort in this work involves constructing a prototype IVVR queuing system. The system is constructed by using an open source server named Asterisk and MySql database. Asterisk is a SIP based Public Exchange Server (PBX) and also a development environment for VOIP based IVRs. Functional scenarios for SIP session establishment and the corresponding session setup times for this queueing model are measured. The results indicate that the prototype serves as a sufficient model for a queue, although a significant delay is introduced for session establishment.  The work also includes analysis of integrating DiaStar™, is a SIP based media transcoding engine to this queue. However, this system is not complete to function with DiaStar for media translation. The study concludes with a mention of the areas for future work on this particular system and the general state of IVVR queuing systems in the industry.
Videosamtal på mobila enheter är popularisera med tillkomsten av 3G. Den förbättrade nätkapacitet så tillgänglig möjliggör överföring av videodata över Internet. Det har prognos av flera VOIP serviceorganisationer att de nuvarande IVR-system kommer att utvecklas till röst och video Response (IVVR) System. Dock har denna utveckling många tekniska utmaningar på vägen. Arkitekturer för att genomföra kösystem för videodata och standarder för bland konvertering av videodata mellan format som stöds för uppringande är två av dessa utmaningar. Denna avhandling är en analys av köer och media kodkonvertering för IVVRs. En stor insats i detta arbete innebär att bygga en prototyp IVVR kösystem. Systemet är konstruerat med hjälp av en öppen källkod-server som heter Asterisk och MySQL-databas. Asterisk är en SIP-baserad Public Exchange Server (PBX) och även en utvecklingsmiljö för VOIP-baserade IVRs. Funktionella scenarier för SIP session etablering och motsvarande sessionen inställningar för den föreslagna kö modell mäts. Resultaten indikerar att prototypen tjänar som en tillräcklig modell för en kö, även om en betydande fördröjning införs för sessionsupprättandebegäran. Arbetet omfattar även analys av integrering DiaStar™ är en SIP-baserad media kodkonvertering motor till denna kö. Emellertid är detta system inte helt att fungera med DiaStar för media translation. The studie avslutas med ett omnämnande av de områden för framtida arbete med detta system och det allmänna tillståndet i IVVR kö-system i branschen.
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Books on the topic "Interactive voice response (IVR)"

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337 Killer Voice Processing Applications: Covering Voice Processing, Audiotex, Call Centers, Fax on Demand, Interactive Voice Response, Outbound Dialing, and Messaging. 2nd ed. Cmp Books, 1997.

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Book chapters on the topic "Interactive voice response (IVR)"

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Helber, Stefan, and Raik Stolletz. "Interactive Voice Response (IVR): Lassen Sie Maschinen sprechen." In Call Center Management in der Praxis, 95–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17150-5_5.

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Gardner-Bonneau, Daryle. "Guidelines for Speech-Enabled IVR Application Design." In Human Factors and Voice Interactive Systems, 147–62. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-2980-1_7.

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Nahler, Gerhard. "interactive voice response system (IVRS)." In Dictionary of Pharmaceutical Medicine, 95. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_711.

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Olaszy, Gábor, and Géza Németh. "IVR for Banking and Residential Telephone Subscribers Using Stored Messages Combined with a New Number-to-Speech Synthesis Method." In Human Factors and Voice Interactive Systems, 237–55. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-2980-1_11.

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Kim, Hee-Cheol, Deyun Liu, and Ho-Won Kim. "Inherent Usability Problems in Interactive Voice Response Systems." In Lecture Notes in Computer Science, 476–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21619-0_59.

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Burton, Graeme. "Interactive Voice Response — More Power to the Students." In Information Technology in Educational Management, 117–21. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34839-1_15.

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Gunawardena, Subodha, and Weihua Zhuang. "Service Response Time of Interactive Data Traffic." In Modeling and Analysis of Voice and Data in Cognitive Radio Networks, 71–85. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04645-7_4.

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Yue, Jiaxin, Zhong Wang, and Yixin Ran. "SIP-Based Interactive Voice Response System Using FreeSwitch EPBX." In Advances in Intelligent Systems and Computing, 614–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34387-3_75.

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Asthana, Siddhartha, Pushpendra Singh, and Amarjeet Singh. "Assessing Designs of Interactive Voice Response Systems for Better Usability." In Design, User Experience, and Usability. Design Philosophy, Methods, and Tools, 183–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39229-0_21.

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Subhashini, R., R. Sethuraman, and V. Milani. "Providing Mother and Child Care Telemedicine Through Interactive Voice Response." In Advances in Intelligent Systems and Computing, 771–78. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2012-1_83.

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Conference papers on the topic "Interactive voice response (IVR)"

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Karademir, Ramazan, and Emre Heves. "Dynamic interactive voice response (IVR) platform." In IEEE EUROCON 2013. IEEE, 2013. http://dx.doi.org/10.1109/eurocon.2013.6624972.

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Jin, Xin, and Guangxi Zhu. "Research on realization scheme of interactive voice response (IVR) system." In Electronic Imaging 2004, edited by Simone Santini and Raimondo Schettini. SPIE, 2003. http://dx.doi.org/10.1117/12.525958.

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Simate, Zilole. "Investigating the use of interactive voice response (IVR) in medical adherence monitoring." In 2014 8th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2014. http://dx.doi.org/10.1109/ismict.2014.6825236.

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Athikkal, Sagina, and John Jenq. "Voice Chatbot for Hospitality." In 12th International Conference on Computer Science and Information Technology (CCSIT 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121315.

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Chatbot is a machine with the ability to answer automatically through a conversational interface. A chatbot is considered as one of the most exceptional and promising expressions of human computer interaction. Voice-based chatbots or artificial intelligence (AI) devices transform human-computer bidirectional interactions that allow users to navigate an interactive voice response (IVR) system with their voice generally using natural language. In this paper, we focus on voice based chatbots for mediating interactions between hotels and guests from both the hospitality technology providers’ and guests’ perspectives. We developed a hotel web application with the capability to receive a voice input. The application was developed with Speech recognition and deep synthesis API for voice to text and text to voice conversion, a closed domain question answering (cdQA) NLP solution was used for query the answer.
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Szarataa, Andrzej, Olga Kokkinoub, Socrates Basbasb, and Ioannis Politisb. "Evaluation of Telematic Applications for Information Provision in Public Transport." In Applied Human Factors and Ergonomics Conference. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe100700.

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This paper investigates various parameters that are related with the information provided by telematics applications in public transport. The telematics applications examined are a) a web site portal that provides real time information to PT users, b) a smartphone application that utilizes the advantages of location identification and c) an interactive voice response (IVR) system. The examination was performed through a revealed and stated preference questionnaire-survey that was addressed to public transport users in the city of Thessaloniki, Greece. The parameters investigated are related with the socioeconomic background of the public transport users, their mobility patterns and attitudes as well as with stated opinions about changes that telematics applications may have on their current travel behavior. Finally, a linear multiple regression model was developed, indicating that the parameters which may have an impact on the perceived cost of these application (as a percentage of the total fare level) are related with the application itself, the age of the PT user as well as with his/her educational level.
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Ferrise, Francesco, Monica Bordegoni, and Umberto Cugini. "A Methodology Based on Interactive Virtual Prototypes for a Better Design of Consumer-Product Interaction." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-89490.

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The paper describes the preliminary results of a research activity on the design of consumer-product interaction by means of interactive Virtual Prototypes (iVPs). Differently from Virtual Prototypes (VPs), which can be defined as an integration of geometries and functional multi-domain and multi-physics models, interactive Virtual Prototypes can be implemented as an integration of functional models for each sense — in this case vision, touch and hearing — which are parametric and independent from each other, so that they can be modified on request. Thanks to the use of iVPs the interaction design approach can be reversed. In fact, first the iVP can be used for the design and evaluation with final users of the consumer-product interaction, and then the resulting interaction parameters can be mapped back to the functional models of the VPs by following a sort of reverse engineering activity. So, the interaction specifications are not derived by questionnaires and focus groups with potential customers, but products are shown, tested, and customised directly with the potential buyers. This method presents several advantages for companies. It allows designers to more easily and directly capture the voice of the customers by gathering an immediate feedback about new interaction modalities, and also to design and validate at the same time the emotional response of their products. Besides, these studies and validations can be performed when the product design is in its infancy and technical decisions have not been taken, with the consequent advantage that design changes are not too expensive. The paper demonstrates the validity and potentiality of the methodology through some case studies.
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Huang, Yuan Mao, and Hsin-Ni Ho. "An Improvement of Phone-Based Interfaces System." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/cie-14673.

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Abstract Applications of the interactive voice response system (IVRS) have been increased rapidly. However, deficiencies of phone-based interface systems (PBIS) suggest human factors considerations can improve design structures of the systems. To improve the existing phone-based interface systems, this study proposes an new interface style, which is based on the ‘standard-with-skips’ and the ‘hierarchy’ styles. This improved interface style can assist in saving time for both the novices and the experienced users and allows users to have more control. A new kind of identifier is also developed to facilitate procedures for reaching user goals. To reduce the workload in the working memory, a marking function is presented to give the users memory aids and prevent them from making errors. With consideration of these factors, an ideal modal is constructed and compared with existing systems.
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Patel, P. B., and T. Marwala. "Interactive Voice Response field classifiers." In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2008. http://dx.doi.org/10.1109/icsmc.2008.4811827.

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Yadav, Mr V. P., and Dr P. S. Prasad. "Interactive Voice Response System through WiFi Calling." In International Conference on Science and Engineering for Sustainable Development. Infogain Publication, 2017. http://dx.doi.org/10.24001/ijaems.icsesd2017.106.

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Yacoub, Sherif, Steve Simske, Xiaofan Lin, and John Burns. "Recognition of emotions in interactive voice response systems." In 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA: ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-307.

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Reports on the topic "Interactive voice response (IVR)"

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McGlashan, S., T. Melanchuk, and C. Boulton. An Interactive Voice Response (IVR) Control Package for the Media Control Channel Framework. RFC Editor, May 2011. http://dx.doi.org/10.17487/rfc6231.

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Jennings, C., F. Audet, and J. Elwell. Session Initiation Protocol (SIP) URIs for Applications such as Voicemail and Interactive Voice Response (IVR). RFC Editor, April 2006. http://dx.doi.org/10.17487/rfc4458.

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Burger, E. IANA Registry for MEDIACTRL Interactive Voice Response Control Package. RFC Editor, May 2012. http://dx.doi.org/10.17487/rfc6623.

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