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Nusrat Jahan Shawon

dblp:393/6910 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 77% Learning and educational technologies · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › service robot
guide robot
0.912025
Developing an Interactive Guidance Robot for University Libraries: A Design-Based Research Approach · HRI 2025

Methods — techniques the papers use, named apart from their topics

survey · 0.9design-based research · 0.9
YearPublicationVenuePosition
2025 Developing an Interactive Guidance Robot for University Libraries: A Design-Based Research Approach
abstract
University libraries are increasingly incorporating technological advances to increase productivity and participation among users. Today, using university libraries in a smart way is very important for our modern and innovative minds. In such contexts, presents the design-based research strategy for the creation of a guide robot which has been customized to suit the specific library needs of universities. Through detailed surveys with students and librarians, we set out to establish core design features and functional requirements that allow the robot to be as efficient as possible in carrying out the tasks of assisting users locate materials, answering questions, and developing user-library relations. This stage of iterative design development focuses on the statistical data collected throughout the processes, indicating that the design finalized at this level is ideal for users. The purpose of the study was to create interactive participation, access to real-time data in the robot framework, and improve user experience, library workflows, and usability. The results of this research are important for improving the human-robot interaction, which can be extended in the education environment, providing a customized and flexible approach for other academic or public service institutions. This research aims to contribute to the growing discourse on robotics in education by proposing a practical, data-driven solution to improve the functionality and responsiveness of modern university libraries.
Nusrat Jahan Shawon, Nizar Ahmed, Mahmudul Hasan 0023, Mohammad Shidujaman
HRI1