Evaluating Quality of Chatbots and Intelligent Conversational Agents of BCA (VIRA) Line

Abstract

Background: The use of technology in the financial sector greatly supports its productivity. Including the use of Artificial Intelligence or Artificial Intelligence that makes activities in the financial sector faster and more efficient. PT. Bank Central Asia also implemented Artificial Intelligence technology by launching a chatbot feature called VIRA. Although this vira provides various conveniences this feature has a disadvantage of this feature is that the account can be accessed without using a pin, but only with a card number and OTP code. Aim: This research aims to look at the legal protection of the use of VIRA chatbots in BCA customers' banking activities. Method: This research is included in the type of empirical juridical legal research with library research and vira application observation. Findings: The results showed that BCA customers can only access personal data using VIRA. The main facilities of chatbot VIRA are more general information services and promotions for customers. In addition, the account is not automatically logged out, so when the phone is lost others may be able to access the account of the mobile phone owner through VIRA.

A novel use of an artificially intelligent Chatbot and a live, synchronous virtual question-and answer session for fellowship recruitment

“…The development and implementation of chatbots are relatively easy with many industry sponsored platforms available to seamlessly incorporate into SM. Chatbots may therefore be a way to engage potential applicants [17]. Q&A sessions are also a relatively simple way to offer bidirectional interaction with applicants.…”

Can intelligent agents improve data quality in online questiosnnaires? A pilot study

“…Such behaviors can compromise the accuracy of responses captured in the survey data, undermining subsequent statistical analyses and the research findings they inform Vaerenbergh & Thomas, 2013). Predicated on the established applicability of autonomous conversational agents to analogous problem domains (Radziwill & Benton, 2017;Zumstein & Hundertmark, 2017), this pilot study thus set out to explore the potential utility of user support chatbots for bolstering the integrity of Internetbased survey research. The present findings broadly support the chatbot help feature, showing that it was used, perceived as useful, and enhanced data quality.…”

“…These agents then use their acquired capabilities (learned patterns for linguistic usage; Tait & Wilks, 2019) to autonomously engage in conversational exchanges; a chatbot is effectively a computer-driven technology that approximates human interaction-you communicate with it and it responds. As robust and highly scalable intelligent technologies, chatbots are becoming ubiquitous on the Internet in a variety of conversation-based roles (virtual assistants, customer service agents; Chakrabarti & Luger, 2015;Hasler et al, 2013;Keeling et al, 2010;Radziwill & Benton, 2017).…”

Enhancing service interactions with conversational agents

“…Conversational agents constitute various technologies, described in many different terms (e.g., embodied conversational agents, chatbots, dialog systems, virtual agents, bots). Following Radziwill and Benton (2017) and McTear et al (2016), this dissertation focuses on three groups of conversational agents (CAs), which differ in their richness of communication: chatbots, avatars or virtual service agents (VSAs), and robots, see Figure 2. Chatbots are disembodied conversational agents that communicate primarily through written or spoken verbal communication (Araujo, 2018;Dale, 2016), although they can be accompanied by an image or a picture suggesting some form of embodiment.…”

“…To overcome these obstacles, conversational agents are increasingly deployed into service encounters (De Keyser et al, 2019;Ling et al, 2021). Conversational agents are 'systems that mimic human conversation' using communication channels such as speech, text, but also facial expressions and gestures (Laranjo et al, 2018(Laranjo et al, , p.1248Radziwill & Benton, 2017). Conversational agents roughly consist of three categories: chatbots without embodiment, virtually embodied avatars, and physically embodied robots.…”