INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This study investigates the user experience with chatbots in the textile industry, focusing on aspects such as utilization, satisfaction, response times, encountered issues, personalization, speed, tracking, and usage duration. Data was collected through a questionnaire distributed to 74 individuals using the snowball sampling technique. The findings reveal that more than half of the respondents have interacted with chatbots related to textiles, and they express favourable perceptions regarding these chatbots' ability to provide information, respond promptly, and personalize interactions. Additionally, the majority of respondents believe that chatbots expedite issue resolution. Gender differences are minimal, except in the context of tracking textile orders. Overall, respondents hold positive views regarding the performance of chatbots in the textile industry for customer service and engagement.
Keywords:
Chatbot, Utilization, User Experience, Response, Personalization
Cite Article:
"A STUDY ON CHATBOT USER EXPERIENCE IN THE TEXTILE SECTOR", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.e54-e58, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309406.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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