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Measuring Chatbot Effectiveness

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50018281" target="_blank" >RIV/62690094:18450/21:50018281 - isvavai.cz</a>

  • Result on the web

    <a href="https://uni.uhk.cz/hed/site/assets/files/1077/proceedings_2021_1.pdf" target="_blank" >https://uni.uhk.cz/hed/site/assets/files/1077/proceedings_2021_1.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.36689/uhk/hed/2021-01-058" target="_blank" >10.36689/uhk/hed/2021-01-058</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measuring Chatbot Effectiveness

  • Original language description

    The paper deals with a technology called chat robot. Chatbot is one of the Fourth Industrial Revolution trends, and so far, there is no commonly used approach that has proven to measure its effectiveness. The aim of this paper is to delve deeper into this issue, describe the current state, and further analyse possible known alternatives for measuring the chatbot effectiveness and identify a suitable approach according to selected criteria. The translated paper&apos;s main aim is to select a suitable tool for measuring the effectiveness of chatbot. A literature search was carried out within the paper&apos;s elaboration, quantitative and qualitative research was gradually used to select a suitable tool for measuring the effectiveness of the chatbot, while specific data collection techniques are a document study, questionnaire survey in the form of pairwise comparison, where output is an expert opinion and semi-structured interview. Furthermore, a multi-criteria analysis is performed in the Expert Choice 2000 decision support tool. User friendliness, Information ability and equipment, Language level and equipment, Humanity, Business aspect were chosen as the most important criteria. The 2018 approach by the Croatian author D. Peras was chosen to carry out an analysis of approaches to measuring chatbot effectiveness.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    HRADEC ECONOMIC DAYS, VOL 11(1)

  • ISBN

    978-80-7435-822-7

  • ISSN

    2464-6059

  • e-ISSN

    2464-6067

  • Number of pages

    10

  • Pages from-to

    589-598

  • Publisher name

    University of Hradec Králové

  • Place of publication

    Hradec Kralove

  • Event location

    Hradec Kralove

  • Event date

    Mar 25, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000670596900058