CORTEXA
← Browse
arxivcs.HC2026-06-27

Telephony Voice Agent for Banking Services

Nitya Dhagat, Vipul K. Dabhi, Harshadkumar B. Prajapati, Zankhana J. Barad

This paper proposes a voice-powered AI-based banking system based on Google Conversational Agent, Dialogflow CX, which provides safe and convenient banking by phone. The system supports essential banking functions such as balance inquiries, transaction history retrieval, card activations, PIN-based authentication of sensitive tasks, smooth live agent handoff for complex and out-of-scope queries, and ensures seamless handover to human agents when required. These tests were performed with high-duration calls, high concurrency, and noisy environments; the system proved to be scalable, responsive, and resilient. All the data used is safely stored in the cloud environment for efficiency and security in real-time voice interactions. A voice-based banking solution that is efficient and easy to use can be provided through this.

View free PDFSource page

Related papers

arxivcs.AIcs.HCcs.SE2026-06-29

Rehearsed Multi-Agent Live Product Demonstrations with Real-Time Voice Question Answering

Rahul Khedar, Mayank Malhotra, Avinash Karn, Mouli V, Prakhar Mehrotra

Live product demonstrations are a recurring, high-cost activity in software organizations: a human presenter must select features, dispatch the corresponding interactions on a running application, narrate them coherently, and answer questions in real time. Existing automation add…

View free PDFSource page
arxivcs.HCcs.AR2026-07-22

Mammal: Supporting Breastfeeding Monitoring Through Computational Garments with Inter-Body Sensing

Yanfeng Zhao, Morgan Geck, Kate Fernandez, Madison Nicole Jones, Xia Zhou, Jessica L. Ridgway, et al.

Breastfeeding provides critical insight into infant feeding competence and physiological health, yet objective monitoring remains difficult due to the intimate and internal nature of feeding. We present Mammal, a caregiver-worn computational garment that unobtrusively monitors br…

View free PDFSource page
arxivcs.HCcs.AI2026-07-16

When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration

Célina Treuillier, Denis Lalanne

The broad adoption of Artificial Intelligence (AI), especially Generative AI, raises pressing questions about how users interact with these systems to produce new content. In this paper, we introduce the concept of authorship calibration, defined as users awareness of their actua…

View free PDFSource page
arxivq-bio.NCcs.AIcs.CVcs.HC2026-07-03

Modeling the Impact of Visual Brand Language on Attention, Object Recognition, and Memory Retrieval

Rachel F. Heaton, John E. Hummel

Visual brand language is the set of visual properties that convey brand identity for a product. What is the impact of visual brand language on a person's ability to recognize and understand the functional identity of an object? Using an empirically supported modeling framework ba…

View free PDFSource page
arxivcs.HC2026-07-22

Associations Between Support-Seekers' Cross-Community Interactions and Their Engagement with Received Comments in Online Health Communities

Shenghan Tan, Daiang Jia, Chunghiu Kong, Tianjian Liu, Zhenhui Peng

Support-seekers' active engagement with received comments, e.g., showing positive sentiment and willingness to improve in the replies, can indicate the success of online health communities (OHCs). Their participation in other communities may correlate with their engagement in OHC…

View free PDFSource page