Assessment of Conversational Chatbots for Driving Support Applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F25%3A00390688" target="_blank" >RIV/68407700:21260/25:00390688 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/25:00390688

Výsledek na webu

<a href="https://doi.org/10.14311/NNW.2025.35.001" target="_blank" >https://doi.org/10.14311/NNW.2025.35.001</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/NNW.2025.35.001" target="_blank" >10.14311/NNW.2025.35.001</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Assessment of Conversational Chatbots for Driving Support Applications

Popis výsledku v původním jazyce

The study evaluated chatbots designed as conversational assistants for drivers with the aim of reducing driver fatigue through appropriate and undemanding conversation. The introductory part included a questionnaire survey focused on identifying preferred topics of conversation while driving, which provided a basis for selecting the content focus of the experiment. This was followed by a subjective evaluation of selected chatbots using user experience metrics, focusing on their comprehensibility, naturalness, and ability to maintain attention without increasing mental load. The final part used the QFD method to assess the extent to which individual chatbot procedures and features met the set criteria. The output was a comparison of chatbots and a determination of their suitability for further extensive experiments.

Název v anglickém jazyce

Assessment of Conversational Chatbots for Driving Support Applications

Popis výsledku anglicky

The study evaluated chatbots designed as conversational assistants for drivers with the aim of reducing driver fatigue through appropriate and undemanding conversation. The introductory part included a questionnaire survey focused on identifying preferred topics of conversation while driving, which provided a basis for selecting the content focus of the experiment. This was followed by a subjective evaluation of selected chatbots using user experience metrics, focusing on their comprehensibility, naturalness, and ability to maintain attention without increasing mental load. The final part used the QFD method to assess the extent to which individual chatbot procedures and features met the set criteria. The output was a comparison of chatbots and a determination of their suitability for further extensive experiments.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20104 - Transport engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Neural Network World

ISSN

1210-0552

e-ISSN

2336-4335

Svazek periodika

35

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

16

Strana od-do

1-16

Kód UT WoS článku

001738205700001

EID výsledku v databázi Scopus

2-s2.0-105035805196