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In the digital age, the expansion of cyberspace has resulted in increasing complexity, making clear cyberspace visualization crucial for effective analysis and decision‐making. Current cyberspace visualizations are overly complex and fail to ...

This study introduces the integrated centrality metric (ICM) to construct clear metaphorical maps of cyberspace, accurately reflecting node importance and simplifying complex network visualization for better analysis and decision‐making. image image

The hedonic and affective testing of sound effects lacks methodologies and empirical evidence around best practices for running experiments. We used a paired comparison between raw (untreated) human voice emotes and three “robotized” versions of a voice ...

The Smart Cities concept and its gradual implementation in cities and municipalities in the Czech Republic and abroad uses processes and methods from information and knowledge management. In connection with the use of various methods from the ...

Surfacing conflicts in values and assumptions between stakeholders is central to building constructive relationships in a participatory design (PD) engagement. Methodological considerations are required to surface such conflicts and hold onto them as ...

Research on technology companies and their workers can externalize otherwise invisible and tacit workplace approaches, identify organizational constraints to creating more ethical AI systems, help ground interventions in real-world organizational ...

This paper investigates a long-term collaboration between students and service organizations in a context that relies heavily on experts while engaging with a marginalized and gate-kept community. The project was motivated by the Atlanta Volunteer ...

Human collaborator's workload plays a central role in human-robot collaboration. Algorithms designed to minimize cognitive workload enhance fluent human-robot teamwork. Time series data of workload is vital for both designing and assessing these ...

As suggested by the HRI'24 conference theme, the concern for understanding and designing human-robot interactions for the "real world'' is now at the centre of the human-robot interaction field. But what does it actually mean to design robots for the "...

Artificial Intelligence (AI) has pervaded everyday life, reshaping the landscape of business, economy, and society through the alteration of interactions and connections among stakeholders and citizens. Nevertheless, the widespread adoption of AI ...

The authors propose considering the trend of a non-stationary time series as a linear regression with unknown switching points. The method of evaluating the switching points based on intelligent data analysis using statistical criteria is ...

In this article, the authors present the results of the development and study of methods for creating 3D models of plants grown in vitro, which provides the ability to accurately record the morphometric indicators of the growth of the individual ...

To improve people’s lives, human-computer interaction researchers are increasingly designing technological solutions based on behavior change theory, such as social comparison theory (SCT). However, how researchers operationalize such a theory as a design ...

In October 2022, the Department of Writing, Rhetoric, and Cultures at Michigan State University proposed an admissions pause to our Rhetoric and Writing PhD program to reimagine the possibilities of the program based on disciplinary trends and the needs ...

This paper explores how college and university writing centers can serve as sites for collaborative inquiry into the rhetoric of software and its consequences for users. Research designs in user experience (UX) and writing center studies scholarship are ...

This workshop furthers the growing adoption of historicism in HCI and CSCW. Inspired by mounting attention to history in the field, we aim to convene a broad range of scholars to advance the discussion around what a specifically historicist sensibility ...

This panel will host a debate about the possible roles of HCI within CSCW research. To do so, it assembles five intellectually diverse researchers who contribute to the field of CSCW, while taking divergent approaches to incorporating an historicist ...

Evaluation is important when developing and deploying recommender systems. The PERSPECTIVES workshop sheds light on the different, potentially diverging or contradictory perspectives on the evaluation of recommender systems. Building on the discussions ...

Research on sound design evaluation methodologies relating to connotation, or the evocation of mental imagery is limited. Prior tools for data analysis have fallen short, making the process time-consuming and difficult: We explore here a variety of new ...

Aspect-based sentiment analysis (ABSA) is one of the principal tasks in the automatic deep understanding of texts, widely applied in a broad range of real-world applications. Many studies have been performed on different tasks and datasets for other ...

Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) are perceived as a new design material. Lack of user engagement and trust in these systems due to failure or other bad user experience is one results that comes with this ...