Chatbot

Title: Applications of chatbot
Name: Shreya Kapadia
Literature Review:
1. PROSPECTS
The application of the Chatbot in retail and the activities for servicing of employees and customers, is one of the important introductions of the digital transformation. The expansion of their application will allow customers to receive faster and with a bigger comprehensiveness answer to routine problems and questions from personal and business day-to-day life. The expanding possibilities for the application of artificial intelligence in the Chatbot technology will lead to more complete communication and broader opportunities for the establishing of situations for the automated satisfaction of the informational aspects of the economic and social interests of the participating parties.
(Michal, 2019)
2. IN MUSEUMS
Conversational artificial intelligence represented by chatbots is developing rapidly today. There is an interest in museums, galleries, and similar institutions to use chatbots to increase the interactivity and attractiveness of exhibitions. The customer (or visitor) experience with chatbots is not accurately assessed by the usual metrics for measuring chatbots, due to the fact that applications have not been deployed in use for long enough and therefore the need for such measurement has not yet arisen. The trend, as in other conversational AI applications, is to improve the level of conversation of the chatbot, i.e. to move it from a virtual guide to a full-fledged partner that will dialogue with the user and understand the context. The evolution is towards more open chatbots that act on the emotions of users. The effect of the experience depends on the methods used to recognise and capture the emotional states of the user, the design of the responses to these states and the overall design of the user interface. The integration of the chatbot into the overall concept of the exhibition or museum is essential. Understandably, the chatbot must not distract the visitor from the museum itself towards applications and mobile devices. Challenges for further development include ensuring easy access to the apps for e.g., disabled visitors, app security, data protection and user privacy.
(Štekerová, 2022)
3. IN MARKETING
The role of digital technologies, especially the Internet of Things (IoT) and Artificial Intelligence (AI), increasingly become a key element of diverse interactions between brands and consumers. A well-prepared chatbot of charming personality that will efficiently lead a buyer through subsequent stages of transactions while saving their cognitive effort and time, may become a key value distinguishing a given brand from its competitors. The most advanced ones are able to advise buyers and suggest specific choices (products, services, brands) before they realize their needs and expectations themselves. Experts are convinced that in the coming, Chatbot will adjust to optimize a level of satisfaction while adapting and changing a style of its responses and conversation strategies, etc.
(Kaczorowska, 2019)
4. IN FINANCIAL SECTORS
The proposed chatbot would use artificial intelligence to provide personalized financial advice and guidance to users on budgeting, saving, investing, and managing debt. It would also be able to track users’ spending and provide alerts when they are exceeding their budget or facing other financial challenges. The chatbot could be integrated into existing financial management tools, such as banking apps or personal finance software, and used by employers to provide financial wellness benefits to their employees. Overall, chatbot for financial sustainability could have significant benefits for individuals and society as a whole by improving financial literacy, reducing financial stress, and promoting long-term economic
(Sewoong & Jonghyuk, 2017)
5. IN JOURNALISM
The use of chatbots in media platforms was seen as a means to cut back in human labour. Additionally, issues regarding the creativity and originality of news have arisen, centered around the basic argument that robotics could never replace human journalism without posing a real threat to the critically acclaimed democratic values of the western world. Added to all these, concerns regarding ethical issues were once again raised centered on the fundamental argument of ‘human value over machinery’. On the other hand, the application of chatbots has shown that they can unburden the human journalist from daily routine work, reduce pressure for producing quantity of news and, instead, allow them to concentrate on quality, free up capacities for in-depth analysis and reporting and, thus, enable journalists to consider moral demands in journalistic work, like checking of multiple sources, reflection, and diligence, especially in the era of big data. emerged. Chatbot journalism, as a logical transformation of robot and computational journalism, is on the rise, generating opportunities as well as new challenges, both for the audiences and for the journalistic profession.
(Andreas & Theodora, 2019)
6. IN SOCIAL PRESENCE AND TRUST
The study used a between-subjects design to manipulate social presence and chatbot errors. Participants interacted with a chatbot that either had high or low social presence and either made errors or did not make errors. After the interaction, participants completed a survey that measured their trust in the chatbot. The results showed that participants who interacted with a chatbot with high social presence had significantly higher levels of trust than those who interacted with a chatbot with low social presence. Additionally, participants who interacted with a chatbot that made errors had significantly lower levels of trust than those who interacted with a chatbot that did not make errors. However, when social presence was high, the effect of chatbot errors on trust was mitigated. The study confirm that people employ a biased thinking across gender and this categorization also influences their acceptance of chatbots taking social roles. The results of an empirical study demonstrated that highly anthropomorphized female chatbots that engage in social behaviours are significantly shaping positive consumer responses, even in the error condition.
(Diana-Cezara et al, 2019)
7. IN SUSTAINABLE EDUCATION
The study investigated the effect of chatbot-assisted learning on various components
and how different moderator variables influenced the effectiveness. There were no significant changes in critical thinking through the use of chatbots. The use of chatbot technology significantly enhanced explicit reasoning. Chatbot interventions could effectively
stimulate group discussions and help students utter their thoughts. Chatbot technology also significantly improved learning achievement and retention. Chatbots can easily notice learners’ knowledge gaps and accordingly make responses in order to create meaningful interactions. With chatbot technology, students experienced more learning interest than those without it. Chatbot systems allowed users to learn based on individual needs and pace, which avoided frustration and learned helplessness for slow learners. Chatbot technology exerted a significant and positive influence on explicit reasoning, learning achievement, knowledge retention, and learning interest. However, chatbots did not significantly improve critical thinking, learning engagement, and motivation. Practically, teachers and instructors could adopt appropriate teaching approaches to facilitate sustainable education.

(Xinjie & Zhonggen, 2023)

8. IN TOOLS FOR PEOPLE WITH INTELLECTUAL DISABILITIES

During the period of covid-19, educational institutions and associations were
closed, leaving persons with disabilities with communication barriers and limitations to
cognitive accessibility, as well as lost opportunities to develop social skills outside the
familiar environment. Faced with this situation, the design and implementation of a conversational bot becomes an aid that allows, to improve the communication skills of people with intellectual disabilities. intellectual disabilities. The conversational bot responds to the initially proposed objectives by favouring educational and social inclusion through the acquisition of communication skills, while at the same time improving the quality of life of these people. In short, the technological solution is therefore very appropriate for the problem context that was initially identified and has the advantage of being able to adapt to different educational contexts and realities.

(Montserrat et al, 2022)

9. IN MINE SAFETY DURING NATURAL DISASTERS
The major advantages of this study include the feasible utilization of novel techniques for decision support and the improvement of efficiency and effectiveness of procedure activation during disaster events. The study provides a solution by adopting a chatbot as an information retrieval interface and a channel to alert relevant personnel. the chatbot in the present study specifically assists the decision-makers and other stakeholders in efficiently retrieving decision-support information via IM applications. In addition, the system consistently receives immediate announcements from the CWB and provides automatic determination based on the activating conditions, reducing labour and time costs for the safety staff of the Bureau of Mines. By enhanced retrieval and reduced consumption, our system improves the efficiency and effectiveness of decision-making.

(Meng-Han et al, 2021)

10. IN CRIMINAL PROCESS INVESTIGATORS
Chatbots, which are computer programs designed to simulate conversation with human users, could be utilized as undercover investigators in criminal investigations. The study mentions the benefits and limitations of using chatbots as investigators, such as their ability to collect evidence, interact with suspects, and reduce the risks associated with human undercover work. Use of chatbots as undercover investigators in the criminal justice system is a promising area for further research and development. The research suggests that chatbots could be designed with advanced language processing capabilities and a deep understanding of criminal behaviour to improve their effectiveness and reliability in investigations. Nonetheless, the research notes that ethical and legal considerations must be carefully addressed to ensure that the use of chatbots in law enforcement does not violate
(Nadia, 2022)

11. CONCLUSION
The application of chatbot is very vast from retail for servicing of employees and customers, to virtual guide and to a full-fledged partner that will dialogue with the user and understand the context in the Museums. The proposed chatbot would use artificial intelligence to provide personalized financial advice and guidance to users on budgeting, saving, investing, and managing debt. Chatbot is also used in Journalism to unburden the human journalist from daily routine work, reduce pressure for producing quantity of news and, instead, allow them to concentrate on quality. Chatbot can enhanced explicit reasoning, improved learning achievement and retention, thus helps in sustainable education.

REFERENCE
Andreas Veglis & Theodora A. Maniou, 2019. “Chatbots on the Rise: A New Narrative in Journalism,” Studies in Media and Communication, Redfame publishing, vol. 7(1), pages 1-6, June.

Diana-Cezara Toader & Grațiela Boca & Rita Toader & Mara Măcelaru & Cezar Toader & Diana Ighian & Adrian T. Rădulescu, 2019. “The Effect of Social Presence and Chatbot Errors on Trust,” Sustainability, MDPI, vol. 12(1), pages 1-24, December.

Kaczorowska-Spychalska Dominika, 2019. “How chatbots influence marketing,” Management, Sciendo, vol. 23(1), pages 251-270, June.

Meng-Han Tsai & Hao-Yung Chan & Yi-Lin Chan & Heng-Kuang Shen & Pei-Yi Lin & Ching-Wen Hsu, 2021. “A Chatbot System to Support Mine Safety Procedures during Natural Disasters,” Sustainability, MDPI, vol. 13(2), pages 1-19, January.

Michal Stojanov, 2019. Prospects for Chatbots, Izvestia Journal of the Union of Scientists – Varna. Economic Sciences Series, Union of Scientists – Varna, Economic Sciences Section, vol. 8(3), pages 10-16, December.

Montserrat Mateos-Sanchez & Amparo Casado Melo & Laura Sánchez Blanco & Ana M. Fermoso García, 2022. “Chatbot, as Educational and Inclusive Tool for People with Intellectual Disabilities,” Sustainability, MDPI, vol. 14(3), pages 1-14, January.

Nadia Zlate, 2022. “Chatbots, Future Undercover Investigators in the Criminal Process in the Artificial Intelligence Era?,” RAIS Conference Proceedings 2022 0174, Research Association for Interdisciplinary Studies.

Sewoong Hwang & Jonghyuk Kim, 2021. “Toward a Chatbot for Financial Sustainability,” Sustainability, MDPI, vol. 13(6), pages 1-18, March.

Štekerová Kamila, 2022. “Chatbots in Museums: Is Visitor Experience Measured?,” Czech Journal of Tourism, Sciendo, vol. 11(1-2), pages 14-31, December.

Xinjie Deng & Zhonggen Yu, 2023. “A Meta-Analysis and Systematic Review of the Effect of Chatbot Technology Use in Sustainable Education,” Sustainability, MDPI, vol. 15(4), pages 1-19, February.

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