1. Progress feedback for countering selective exposure : when visualization can backfireJanine Riemann, Jasmin Alt, Uroš Sergaš, Marko Tkalčič, Bruce Ferwerda, 2026, objavljeni znanstveni prispevek na konferenci Opis: Selective exposure in online news is often attributed to person- alization mechanisms and user modeling. Recent work proposes interface-level interventions that visualize reading balance or frame cross-cutting exposure as progress. However, we lack empirical evidence on whether alternative representations of user-model feedback meaningfully influence engagement with belief-opposing content. We conducted a between-subject experiment (N = 84) in a controlled news environment comparing two representations of diversity feedback: (1) an analytic bias visualization summarizing viewpoint balance and (2) a metaphorical growth visualization fram- ing cross-cutting exposure as personal development. Across behav- ioral and attitudinal measures of open-minded engagement, neither feedback representation increased engagement relative to control, and the two designs did not differ reliably. Our results suggest that lightweight representations of diversity signals—without adaptive personalization or structural changes to recommendations—may be insufficient to alter selective exposure in single-session settings. We discuss implications for designing user-model feedback and depolarization objectives in recommender systems.
Ključne besede: human-centered computing, human computer interaction, information systems, recommender systems
Objavljeno v RUP: 05.06.2026; Ogledov: 64; Prenosov: 2
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2. Current state and future research directions of radar-based human-computer interactionKlen Čopič Pucihar, Dariush Salami, Nuwan Attygalle, 2026, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: This chapter provides an overview of the current state of radar-based Human-Computer Interaction (HCI) and outlines future research directions. While earlier chapters in this book have explored specialised domains, such as through-material sensing, ambient intelligence, surface context awareness, hand air-writing, and on-object gesture detection, this chapter expands this perspective by examining fifty carefully selected publications that address a broad range of design and technical considerations in radar-based HCI. We review key design choices, including gesture set definitions, sensor placements, radar types, frequency ranges, signal representations, and classification algorithms. Building on this foundation, the chapter then presents a forward-looking discussion of research opportunities. Particular emphasis is placed on the need for miniaturised, energy-efficient, and adaptive radar systems capable of functioning reliably in diverse, real-world settings. Additionally, the chapter stresses the importance of developing open, standardised datasets to support reproducibility, improve generalizability, and promote inclusive design.
Ključne besede: radar-based human-computer interaction, future directions, current state
Objavljeno v RUP: 19.05.2026; Ogledov: 173; Prenosov: 9
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3. Radar-based human-computer interaction when sensing through materialsNuwan Attygalle, Matjaž Kljun, Arthur Sluÿters, Klen Čopič Pucihar, 2026, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: We increasingly interact with computing devices that are either worn on the body (e.g. smartphones, smartwatches) or are embedded within our surroundings (e.g. smart homes, smart offices). These interactions occur through a variety of input methods, including physical buttons and knobs, mid-air gestures, touch and voice commands. With the exception of voice, these modalities require direct or near-direct physical contact with the device, typically involving line-of-sight or proximity for touch or grasp. However, interaction becomes constrained or entirely infeasible (i) when the interaction device is covered (e.g. when a smartphone is inside a pocket or a smartwatch is covered by a jacket sleeve), (ii) in sterile environments requiring separation between the user and device (e.g. when wearing personal protective equipment) or (iii) when interfaces are deliberately concealed for aesthetic, safety or functional reasons. Enabling interaction in such contexts is important to leverage the computational capabilities embedded in our environments. Yet, current technologies remain limited when interaction through occluding materials is needed. In this chapter, we examine existing research on the use of radar-based systems for interaction through materials, focusing on how materials affect system performance, principles for designing such interfaces and strategies to advance these systems.
Ključne besede: radar, human-computer interaction, sensing through materials
Objavljeno v RUP: 18.05.2026; Ogledov: 213; Prenosov: 8
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4. Digital signal processing tools for radar-based human-computer interactionNuwan Attygalle, Matjaž Kljun, Klen Čopič Pucihar, 2026, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: In recent years, miniature radar-on-chip sensors have been explored for HCI by both academia and industry. This is driven by the availability of affordable radar hardware and advances in signal processing and machine learning. However, comparative evaluation of radar-based gesture interaction systems is challanging and rear. One important dimension for comparison is the set of radar signal representa- tions derived from raw voltage data. These representations commonly include range- Doppler, range-azimuth-angle, range-elevation-angle, point cloud and In-phase and Quadrature (IQ) radar cube formats. However, existing studies often restrict com- parative analysis to a single signal representation type, typically focusing on gesture recognition algorithms or minor variations within Digital Signal Processing (DSP) pipelines. To promote comparative evaluation of radar signal representations, this chapter develops an open-source application designed to facilitate efficient and reli- able dataset preparation of various radar signal representations. The application sup- ports visualisation of generated signal representations and includes a command-line interface for batch processing, thereby streamlining the dataset preparation workflow.
Ključne besede: digital signal processing, radar, human-computer interaction
Objavljeno v RUP: 18.05.2026; Ogledov: 224; Prenosov: 5
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5. Web Implementation of 3-way ChessJanez Koprivec, Matija Marolt, Ciril Bohak, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: This paper presents the design and implementation of a web-based platform for three-player chess, a non-standard variant developed by Dario Varga that until now has only existed in physical form. The work addresses several human–computer interaction challenges: intuitive visualization of a hexagonal chessboard, synchronization of three players in real time, and support for learning unfamiliar rules. The platform was developed using Node.js, React, Mantine, Socket.IO, and MongoDB, providing user account management, both single-device and online multiplayer modes, and access to game history. A key contribution lies in creating a user-friendly and responsive interface that lowers the entry barrier for new players while ensuring robust performance in real-time gameplay. Evaluation confirmed that the application meets functional requirements and offers minimal latency for online play, with results highlighting the impact of server proximity on player experience. The project demonstrates how thoughtful interaction design and modern web technologies can support the digital transformation of analog games, broadening accessibility and engagement with alternative chess variants. The system is available at: https://chess3.musiclab.si/.
Ključne besede: human-computer interaction, chess, online games
Objavljeno v RUP: 30.01.2026; Ogledov: 433; Prenosov: 1
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6. Human-Computer Interaction in Slovenia : A Retrospective and Trend Analysis of Local ResearchCiril Bohak, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: This paper presents a retrospective and trend analysis of Human-Computer Interaction (HCI) research in Slovenia, with a focus on publications from national Human-Computer Interaction (HCI) conference venues between 2014 and 2024. Drawing on a dataset of 84 papers authored by 138 distinct contributors, we examine the evolution of research topics, author participation, and institutional involvement over time. The results show a relatively stable number of accepted papers per year, accompanied by fluctuations in author diversity, with 2022 marking a peak in community engagement. The analysis highlights both the persistence of core Human-Computer Interaction (HCI) themes—such as usability, interaction design, and visualization—and the gradual inclusion of emerging areas, including immersive technologies and data-driven design. By situating local contributions within broader international developments, the study provides an overview of the Slovenian Human-Computer Interaction (HCI) landscape, identifies patterns of collaboration and dissemination, and relects on challenges and opportunities for strengthening the community in the future.
Ključne besede: Human-Computer Interaction, Slovenia, research trends, retrospective analysis, publication analysis
Objavljeno v RUP: 29.01.2026; Ogledov: 538; Prenosov: 0
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