Human-computer Interaction Research Communities Research Articles

Towards identifying the components of students' AI literacy: An exploratory study based on Hungarian higher education students' perceptions

With the advent of the popular use of artificial intelligence (AI), the higher education (HE) sector is now facing a new challenge regarding how to exploit the educational potentials of Human-computer interaction (HCI). Developing students’ AI literacy is now attracting the attention of the HE and HCI research community. This paper aims to explore HE students’ perceptions of efficient and critical use of AI tools, and to systematically map the potential components of AI literacy as a new 21st century skill for HE students. This study applied a qualitative, exploratory approach in the form of semi-structured interviews with HE students. Results indicate that the participants primarily use ChatGPT for tasks such as brainstorming, topic selection, searching for information, and translation. While many find it useful for creating and reformatting texts, some encountered challenges, including generality in responses, outdated information, and issues during exams. Students highlighted its effectiveness in various academic tasks, from writing essays and CVs to language learning and transcription. Instructors’ perspectives on ChatGPT varied, with some advocating for its integration, while others expressed concerns about job security and misinformation. The implications of the study call for a more systematic introduction and discussion around AI literacy in educational settings.

The methodology of studying fairness perceptions in Artificial Intelligence: Contrasting CHI and FAccT

The topic of algorithmic fairness is of increasing importance to the Human–Computer Interaction research community following accumulating concerns regarding the use and deployment of Artificial Intelligence-based systems. How we conduct research on algorithmic fairness directly influences our inferences and conclusions regarding algorithmic fairness. To better understand the methodological decisions of studies focused on people’s perceptions of algorithmic fairness, we systematic analysed relevant papers from the CHI and FAccT conferences. We identified 200 relevant papers published between 1993 and 2022 and assessed their study design, participant sample, and geographical location of participants and authors. Our results highlight that studies are predominantly cross-sectional, cover a wide range of participant roles, and that both authors and participants are primarily from the United States. Based on these findings, we reflect on the potential pitfalls and shortcomings in how the community studies algorithmic fairness.

Runners’ Perspectives on ‘Smart’ Wearable Technology and Its Use for Preventing Injury

ABSTRACTUnderstanding the user experience between runners and wearable technology is crucial for designing personalized and effective wearable technology features for injury prevention. Therefore, the overall objective of this study was to understand the attitudes and beliefs for competitive and recreational runners towards wearable technology as well as its potential use for preventing injury. Survey data were drawn from 663 respondents. Competitive runners preferred GPS running watches and were interested in tracking personalized data to optimize running efficiency, whereas recreational runners used mobile phones/apps and wristband activity trackers to increase motivation. All runners believed that basic metrics found in wearable technology were most important for injury prevention; however, more advanced metrics had little importance. This paper illustrates the importance of understanding different user experiences for recreational and competitive runners in relation to wearable technology, and encourages the human-computer interaction research community to identify methods in personalizing complex running-related wearable technology data.

What publications metadata tell us about the evolution of a scientific community: the case of the Brazilian human–computer interaction conference series

Human---computer interaction (HCI) is a research field which engages different disciplines, interest groups and communities, and which has emerged in different countries at different times. To understand how the HCI research community has evolved in Brazil, this paper applies data and visual analytics to its main conference series, the Brazilian Symposium on Human Factors in Computing Systems, henceforth IHC. We have explored the metadata of all 340 full papers published in the 14 editions of IHC. Our goal was to investigate the evolution of the Brazilian HCI community so we can raise the level of "self-knowledge" and thus discuss strategies that can further help develop this research community. From our analysis, we could understand more deeply the authorship profile of our community and how it has changed over time, the co-authorship networks evolution, the prominent institutions and states, the reference profile and the research topics over time. We hope that this paper will contribute to inspire other scientific communities to analyze themselves, and encourage their own discussions.

The Meaning of Interactivity—Some Proposals for Definitions and Measures

New interactive applications, artifacts, and systems are constantly being added to our environments, and there are some concerns in the human–computer interaction research community that increasing interactivity might not be just to the good. But what is it that is supposed to be increasing, and how could we determine whether it is? To approach these issues in a systematic and analytical fashion, relying less on common intuitions and more on clearly defined concepts and when possible quantifiable properties, we take a renewed look at the notion of interactivity and related concepts. The main contribution of this article is a number of definitions and terms, and the beginning of an attempt to frame the conditions of interaction and interactivity. Based on this framing, we also propose some possible approaches for how interactivity can be measured.

Yamove! A Movement Synchrony Game That Choreographs Social Interaction

Movement-based interactive systems for play came into the spotlight over a decade ago, and were met with enthusiasm by the general public as well as the Human-Computer Interaction research community. Yet a decade of research and practice has not fully addressed the challenge of designing for the moving body and play. This thesis argues that often, the role of the technology to sustain the play activity, and to drive the design process, has been over-emphasized, and has resulted in limited design possibilities. This thesis explores an alternative design approach to address the problem through combining the design of the technology with designing aspects of the social and spatial context where the play activity takes place. The work is grounded in an embodied perspective of experience, action, and design. Methodologically, it belongs to the Research through Design tradition (RtD).A core concept and a characterization of design practices are presented as key contributions. The concept of embodied core mechanics is introduced to frame desirable and repeatable movement-based play actions, paying attention to the way these are supported by design resources including rules, physical and digital artifacts, and the physical and spatial arrangement of players and artifacts. The concept was developed during the two main design cases: the Oriboo case, targeting dance games for children, and the PhySeEar case, targeting rehabilitative therapy for the elderly. It was further substantiated in subsequent external design collaborations. To support the design process, this thesis presents embodied sketching: a set of ideation design practices that leverage the embodied experience and enable designers to scrutinize the desired embodied experience early in the design process. Three forms of embodied sketching are presented: embodied sketching for bodystorming, co-designing with users, and sensitizing designers.Through reframing the design task as one of designing and studying embodied core mechanics, this thesis establishes an alternative approach to design for movement-based play in which significant aspects of the embodied play experience, lead, drive, and shape the design process and the design of the technology.

Rethinking Reading for Age From Paper and Computers

The human–computer interaction research community has long been interested in the role of age in the use of computing devices. The current availability of large high-resolution displays and a growing community of older adults who use computers on a regular basis are examples of a changing landscape of users and devices that calls for a reevaluation of what we know about age and computers. This article presents two studies comparing the performance of young and older adults in reading tasks. In our studies, older adults outperformed young adults in terms of reading times and reading comprehension regardless of medium (paper or computer display). In addition, the overlap of confidence intervals for reading times and comprehension by medium suggests participants performed equally well regardless of medium. Both findings are in contrast to results from similar studies from the 1980s and 1990s.

Wavelets-based facial expression recognition using a bank of support vector machines

A human face does not play its role in the identification of an individual but also communicates useful information about a person’s emotional state at a particular time. No wonder automatic face expression recognition has become an area of great interest within the computer science, psychology, medicine, and human–computer interaction research communities. Various feature extraction techniques based on statistical to geometrical data have been used for recognition of expressions from static images as well as real-time videos. In this paper, we present a method for automatic recognition of facial expressions from face images by providing discrete wavelet transform features to a bank of seven parallel support vector machines (SVMs). Each SVM is trained to recognize a particular facial expression, so that it is most sensitive to that expression. Multi-classification is achieved by combining multiple SVMs performing binary classification using one-against-all approach. The outputs of all SVMs are combined using a maximum function. The classification efficiency is tested on static images from the publicly available Japanese Female Facial Expression database. The experiments using the proposed method demonstrate promising results.

The Role of Design Artifacts in Design Theory Construction

As a discipline evolves, intellectual issues come into focus, and the outcomes of systematic inquiry grow in importance. The discipline of design is facing such a time, as scholars, researchers, and practitioners are devoting attention to creating categories for design practice and design research, articulating methods and processes, and, in some cases, building new design theories. The field of Human–Computer Interaction (HCI) is also experiencing an evolutionary broadening in scope that creates the need for design research. Many designers working in the HCI research community have expressed an increased interest in research through design, a research approach that employs methods and processes from design practice. However, without an agreed form of practice, evaluation, and outcome, it is hard to consistently develop design theory from research to design outcomes. In this paper, the authors begin to identify specific outcomes of research through design that form the basis for theory production. They present the research through design process and two different approaches of research through design (philosophical and grounded) that can lead to formation of design theory. They identify that extensible, systemic approaches to research through design are the most promising ones for developing design theory, and illustrate with examples.

Arguing for Aesthetics in Human-Computer Interaction

In the 60s and 70s few people were inter-acting with computers and if they did, those interactions were predominantly work-related. It seems quite natural then, that early Human-Computer Interaction (HCI), which emerged at that time, strove to enable people to perform work-related tasks in an efficient and error free way. Du-ring the 1980s, usability engineering emer-ged from this understanding of HCI. It was probably the right concept for that time.But things change. Technology is much more mature, powerful and cheaper now. Consequently, informations technology (IT) is everywhere; people use it for many purposes, beyond accomplishing tasks at work. They surf the web for example – a rich medium in terms of visual design. The merger of the computer with other me-dia, the rise of the computer gaming in-dustry, etc. changed the users’ expectati-ons. Today’s users know that IT can be visually appealing and entertaining. At the same time, the HCI research commu-nity becomes more and more interested in the roles of affect and emotion in addi-tion to the “pure” cognitive processes, which they study traditionally. As a result, the aesthetics of interactive products be-comes more and more important for users and researchers alike.Our view is that – as a community that takes pride in designing

Let's Stop Pushing the Envelope and Start Addressing It: A Reference Task Agenda for HCI

We identify a problem with the process of research in the human-computer interaction (HCI) community-an overemphasis on "radical invention" at the price of achieving a common research focus. Without such a focus, it is difficult to build on previous work, to compare different interaction techniques objectively, and to make progress in developing theory. These problems at the research level have implications for practice, too; as researchers we often are unable to give principled design advice to builders of new systems. We propose that the HCI community try to achieve a common focus around the notion of reference tasks. We offer arguments for the advantages of this approach as well as consider potential difficulties. We explain how reference tasks have been highly effective in focusing research into information retrieval and speech recognition. We discuss what factors have to be considered in selecting HCI reference tasks and present an example reference task (for searching speech archives). This example illustrates the nature of reference tasks and points to the issues and problems involved in constructing and using them. We conclude with recommendations about what steps need to be taken to execute the reference task research agenda. This involves recommendations about both the technical research that needs to be done and changes in the way that the HCI research community operates. The technical research involves identification of important user tasks by systematic requirements gathering, definition and operationalization of reference tasks and evaluation metrics, and execution of task-based evaluation, along with judicious use of field trials. Perhaps more important, we have also suggested changes in community practice that HCI must adopt to make the reference tasks idea work. We must create forums for discussion of common tasks and methods by which people can compare systems and techniques. Only by doing this can the notion of reference tasks be integrated into the process of research and development, enabling the field to achieve the focus it desperately needs.