Human-Computer Interaction

Top Research Topics at Human-Computer Interaction?

Human-Computer Interaction primarily tackles Human–computer interaction, Multimedia, Artificial intelligence, Knowledge management and Context (language use). While the journal focused on Human–computer interaction, it was also able to explore topics like User interface, Cognition and Interface (Java). The studies in Artificial intelligence featured incorporate elements of Computer vision and Natural language processing.

• Human–computer interaction (41.94%)
• Multimedia (10.38%)
• Artificial intelligence (10.11%)

What are the most cited papers published in the journal?

• A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications (2656 citations)
• Distance matters (1604 citations)
• Fitts' law as a research and design tool in human-computer interaction (1220 citations)

Research areas of the most cited articles at Human-Computer Interaction:

The published papers mainly deal with areas of study such as Human–computer interaction, Knowledge management, Artificial intelligence, Multimedia and Social psychology. The journal papers explore issues in Human–computer interaction which can be linked to other research areas like User interface, Interface (computing) and Cognition. The most cited papers deal with Knowledge management in conjunction with Context (language use) and similar fields in Space (commercial competition) and Data science.

What topics the last edition of the journal is best known for?

• Artificial intelligence
• Law
• Operating system

The previous edition focused in particular on these issues:

Human-Computer Interaction focuses largely on the fields of Human–computer interaction, Aesthetics, Interpersonal communication, Control (linguistics) and Interaction design. Human-Computer Interaction tackles research in various disciplines, including Human–computer interaction and Base (topology). The journal holds forums on Aesthetics that merges themes from other disciplines such as Autonomy, Dualism and Studio.

Topics in Interpersonal communication were tackled in line with various other fields like Biosignal and Distributed computing. The Control (linguistics) research presented in it explores the relationship between Wearable computer and the closely related topic of Embodied cognition, Communication and Human–robot interaction. The overlapping concepts between B-theory of time and Temporality are the key highlights of Interaction design study.

The most cited articles from the last journal are:

• Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them (32 citations)
• User Representations in Human-Computer Interaction (14 citations)
• Eye-Mind reader: an intelligent reading interface that promotes long-term comprehension by detecting and responding to mind wandering (8 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Human-Computer Interaction (based on the number of publications) are:

• William Buxton (27 papers) absent at the last edition,
• Jonathan Grudin (22 papers) absent at the last edition,
• Ronald M. Baecker (19 papers) absent at the last edition,
• Saul Greenberg (18 papers) absent at the last edition,
• Thomas P. Moran (14 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Human-Computer Interaction (based on the number of publications) are:

• Carnegie Mellon University (39 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• PARC (32 papers) published 1 paper at the last edition,
• IBM (24 papers) absent at the last edition,
• University of Michigan (19 papers) absent at the last edition,
• Microsoft (18 papers) published 1 paper at the last edition, 3 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 6.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.35% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.13% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 35.48% of all publications and 29.03% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Careers in Human-Computer Interaction

Another important aspect to consider within the scope of Human-Computer Interaction research is the potential career pathways and opportunities this field provides. One potential career path in particular can be as a private school teacher. A private school teacher in this field would responsible for educating students about the vital elements, principles, and applications of Human-Computer Interaction. It's important to have a clear understanding of the desired career path and its prerequisites for anyone inspired by the research in this field. Teaching in Kentucky, for example, has specific requirements. For those interested, details regarding the process to become a private school teacher in Kentucky and the prospective salary can be found at this private school teacher salary Kentucky link. By exploring this career path, you can contribute to the advancements in HCI while also shaping the minds of future leaders and innovators in this vibrant sector.