Chatbots for enterprises: Outlook Pavel Kostelník, Ivo Pisařovic, Mikuláš Muroň, František Dařena, David Procházka Acta Universitatis Agriculturae Et Silviculturae Mendelianae Brunensis, 2019 Chatbots are going to be the main tool for automated conversations with customers. Still, there is no consistent methodology for choosing a suitable chatbot platform for a particular business. This paper proposes a new method for chatbot platform evaluation. To describe the current state of chatbot platforms, two high-level approaches to chatbot platform design are discussed and compared. WYSIWYG platforms aim to simplicity but may lack some advanced features. All-purpose chatbot platforms require extensive technical skills and are more expensive but give their users more freedom in chatbot design. We provide an evaluation of six major chatbot solutions. The proposed method for the chatbot selection is demonstrated on two sample businesses – a large bank and a small taxi service.
Wi-Fi indoor localisation: A deeper insight into patterns in the fingerprint map data Mikuláš Muroň, David Procházka Acta Universitatis Agriculturae Et Silviculturae Mendelianae Brunensis, 2018 Localisation via Wi‑Fi networks is one of the possible techniques which can be used for positioning inside buildings or in other places without the GPS signal. The accurate indoor positioning system can help users with localisation or navigation within unfamiliar places. Almost all buildings are covered with the Wi‑Fi signal. Using the currently existing infrastructure will minimise cost for construction other types of indoor positioning systems. Among other reasons, usage of Wi‑Fi for positioning is also convenient because almost every mobile device has a Wi‑Fi capability and therefore the system can be easily used by everyone. However, an important factor is the precision of such a solution. The article is focused on the evaluation of Wi‑Fi localisation precision within the university grounds.
Spatial data driven evaluation of city locations Mikuláš Muroň, David Procházka Acta Universitatis Agriculturae Et Silviculturae Mendelianae Brunensis, 2018 Moving to a new home or setting a new bureau in a new city is always difficult. One does not have knowledge about suitable locations; therefore, people are frequently unpleasantly surprised. High traffic noise, long distance to shops or high criminal activity are just few of many possible disturbing aspects. Certainly, there are many data sources that can help to see some particular aspect of the city life. Nonetheless, it is extremely complex and time‑consuming task to browse through large data sets and com‑pare provided information. Therefore, we developed a solution that comprises many different data sets that describe the city environment and created set of straightforward indices such as environment, safety, shopping etc. The users just provide the application his/her preferences and the application finds locations that are most suitable for particular cause. The application is presented on the example of the Brno city area.
RECENT SCHOLAR PUBLICATIONS
Automatically generated place descriptions for accurate location identification: a hybrid approach with rule-based methods and LLM M Muroň, F Dařena, D Procházka, R Kern Spatial Cognition & Computation 25 (4), 269-311 , 2025 2025 Citations: 3
User-Driven Toponym Disambiguation Using Dialogue M Muroň, F Dařena, D Procházka, R Kern Journal of Map & Geography Libraries 19 (3), 198-219 , 2024 2024 Citations: 2
How do people describe a location: towards automatically generated locations description M Muroň, D Procházka, F Dařena Proceedings of the 25th European Scientific Conference of Doctoral Students, 85 , 2021 2021 Citations: 1
Air pollution in Ukraine from space S Bočková, R Bohovic, M Hrnčiar, M Muroň, P Filippovová, M Skalský, ... Arnika–Citizen Support Centre, Prague, Czech Republic , 2020 2020 Citations: 9
CHATBOTS FOR ENTERPRISES: OUTLOOK. P Kostelník, I Pisařovic, M Muroň, F Dařena, D Procházka Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 67 (6 … , 2019 2019 Citations: 27
WI‑FI INDOOR LOCALISATION: A DEEPER INSIGHT INTO PATTERNS IN THE FINGERPRINT MAP DATA. M Muroň, D Procházka Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 66 (6) , 2018 2018
SPATIAL DATA DRIVEN EVALUATION OF CITY LOCATIONS. M Muroň, D Procházka Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 66 (5) , 2018 2018
Automated Questions for Chat Dialogues with a Student Office Virtual Agent M Muron, K Jokinen 2nd Workshop on Chatbots and Conversational Agent Technologies at the … , 2016 2016
MOST CITED SCHOLAR PUBLICATIONS
CHATBOTS FOR ENTERPRISES: OUTLOOK. P Kostelník, I Pisařovic, M Muroň, F Dařena, D Procházka Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 67 (6 … , 2019 2019 Citations: 27
Air pollution in Ukraine from space S Bočková, R Bohovic, M Hrnčiar, M Muroň, P Filippovová, M Skalský, ... Arnika–Citizen Support Centre, Prague, Czech Republic , 2020 2020 Citations: 9
Automatically generated place descriptions for accurate location identification: a hybrid approach with rule-based methods and LLM M Muroň, F Dařena, D Procházka, R Kern Spatial Cognition & Computation 25 (4), 269-311 , 2025 2025 Citations: 3
User-Driven Toponym Disambiguation Using Dialogue M Muroň, F Dařena, D Procházka, R Kern Journal of Map & Geography Libraries 19 (3), 198-219 , 2024 2024 Citations: 2
How do people describe a location: towards automatically generated locations description M Muroň, D Procházka, F Dařena Proceedings of the 25th European Scientific Conference of Doctoral Students, 85 , 2021 2021 Citations: 1
WI‑FI INDOOR LOCALISATION: A DEEPER INSIGHT INTO PATTERNS IN THE FINGERPRINT MAP DATA. M Muroň, D Procházka Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 66 (6) , 2018 2018
SPATIAL DATA DRIVEN EVALUATION OF CITY LOCATIONS. M Muroň, D Procházka Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 66 (5) , 2018 2018
Automated Questions for Chat Dialogues with a Student Office Virtual Agent M Muron, K Jokinen 2nd Workshop on Chatbots and Conversational Agent Technologies at the … , 2016 2016
