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Author Profile dr hab. inż., prof. AGH

Śnieżyński, Bartłomiej

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informatyka techniczna i telekomunikacja
informatyka
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ORCID: 0000-0002-4206-9052 
Web of Science: K-2296-2012 
ScopusID: 23393638000 
PBN - Polish Scientific Bibliography 
OPI - Polish Science Database 
Systemy AGH
Bibliografia: BaDAP AGH 
SkOs AGH 
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  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Detecting gaze direction using robot-mounted and mobile-device cameras
    (Wydawnictwa AGH, 2019) Jarosz, Mateusz; Nawrocki, Piotr; Placzkiewicz, Leszek; Śnieżyński, Bartłomiej; Zieliński, Marcin; Indurkhya, Bipin
    Two common channels through which humans communicate are speech and gaze. Eye gaze is an important mode of communication: it allows people tobetter understand each others’ intentions, desires, interests, and so on. The goal of this research is to develop a framework for gaze triggered events that can be executed on a robot and mobile devices and allows to perform experiments. We experimentally evaluate the framework and techniques for extracting gaze direction based on a robot-mounted camera or a mobile-device camera that are implemented in the framework. We investigate the impact of light on the accuracy of gaze estimation, and also how the overall accuracy depends on user eye and head movements. Our research shows that light intensity is important, and the placement of a light source is crucial. All the robot-mounted gaze detection modules we tested were found to be similar with regard to their accuracy. The framework we developed was tested in a human-robot interaction experiment involving a job-interview scenario. The flexible structure of this scenario allowed us to test different components of the framework in varied real-world scenarios, which was very useful for progressing towards our long-term research goal of designing intuitive gaze-based interfaces for human robot communication.
  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Multi-agent blackboard architecture for supporting legal decision making
    (Wydawnictwa AGH, 2018) Szymański, Łukasz; Śnieżyński, Bartłomiej; Indurkhya, Bipin
    Our research objective is to design a system to support legal decision making using the multi-agent blackboard architecture. Agents represent experts that may apply various knowledge-processing algorithms and knowledge sources. Experts cooperate with each other using the blackboard to store facts about a current case. Knowledge is represented as a set of rules. The inference process is based on bottom-up control (forward chaining). The goal of our system is to find rationales for arguments that support different decisions for a given case by using precedents and statutory knowledge. Our system also uses top-down knowledge from statutes and precedents to interactively query the user for additional facts when such facts could affect the judgment. The rationales for various judgments are presented to the user, who may choose the most appropriate one. We present two example scenarios in Polish traffic law to illustrate the features of our system. Based on these results, we argue that the blackboard architecture provides an effective approach to modeling situations where a multitude of possibly conflicting factors must be taken into account in the decision making.