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ACM Transactions on Computer-Human Interaction
H-index 30

ACM Transactions on Computer-Human Interaction

1073-0516

Published by: ACM

https://dl.acm.org/journal/tochi

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 162 148 162 30

Additional Metrics

Number of Best Scientists*: 180
Documents by Best Scientists*: 175
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 110
SCIMAGO SJR: 1.165
Impact Factor: 6.6

Overview

Top Research Topics at ACM Transactions on Computer-Human Interaction?

The journal focuses largely on the fields of Human–computer interaction, Multimedia, User interface, Usability and Knowledge management. While work presented in ACM Transactions on Computer-Human Interaction provided substantial information on Human–computer interaction, it also covered topics in Interface (computing) and Interface (Java). The journal is mostly focused on User interface, specifically User interface design.

The majority of User interface design studies presented zero in on Natural user interface.

  • Human–computer interaction (39.29%)
  • Multimedia (12.50%)
  • User interface (11.01%)

What are the most cited papers published in the journal?

  • Distributed cognition: toward a new foundation for human-computer interaction research (1588 citations)
  • Charting past, present, and future research in ubiquitous computing (1293 citations)
  • Social translucence: an approach to designing systems that support social processes (838 citations)

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

The published papers focus on Human–computer interaction, User interface, Usability, Multimedia and Computer-supported cooperative work. The majority of Human–computer interaction studies presented in the most cited papers zero in on GOMS. The most cited publications explore research in World Wide Web and overlapping concepts in Document management system to expand the discourse in User interface.

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

  • Artificial intelligence
  • Operating system
  • The Internet

The previous edition focused in particular on these issues:

ACM Transactions on Computer-Human Interaction mainly deals with areas of study such as Human–computer interaction, The Internet, Rurality, Data science and Field (Bourdieu). ACM Transactions on Computer-Human Interaction blends together research topics in Human–computer interaction and Selection (linguistics). ACM Transactions on Computer-Human Interaction holds forums on The Internet that merges themes from other disciplines such as Marketing and Leverage (negotiation).

The research on Data science tackled can also make contributions to studies in the areas of Novelty and Aging in place. Aside from discussions in Mobile device, the journal also deals with the subject of Smart environment which intersects with Set (psychology) disciplines. The journal explores issues in Software which can be linked to other research areas like Automation, User interface, Scalability and Cognitive model.

The most cited articles from the last journal are:

  • Fast and Secure Authentication in Virtual Reality Using Coordinated 3D Manipulation and Pointing (10 citations)
  • Designing Deep Reinforcement Learning for Human Parameter Exploration (8 citations)
  • The Purpose of Play: How HCI Games Research Fails Neurodivergent Populations (4 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.

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

  • Ken Hinckley (18 papers) absent at the last edition,
  • Steve Benford (12 papers) absent at the last edition,
  • Kasper Hornbæk (11 papers) absent at the last edition,
  • Brad A. Myers (10 papers) published 1 paper at the last edition,
  • Robert J. K. Jacob (9 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.

Only papers with recognized affiliations are considered

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

  • Carnegie Mellon University (36 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Microsoft (31 papers) absent at the last edition,
  • Georgia Institute of Technology (26 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of California, Irvine (25 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • University of Nottingham (22 papers) absent at the last 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, 2.56% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.68% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.68% of all publications and 36.84% 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.

Career Opportunities In Human-Computer Interaction

For those who have indulged in the review of ACM Transactions on Computer-Human Interaction and feel intrigued by the research topics and emerging trends in the field, it might be interesting to explore career paths related to such areas of study. The demand for experts in Human-Computer Interaction is ever-growing, and numerous roles are evolving over time, including User-Experience (UX) Designer, User Interface (UI) Designer, Usability Analyst, and more. However, advancing or kickstarting a career in this domain may require specific training and qualifications. For instance, teaching English, a critical aspect of effective human-computer interaction, in a state like Texas necessitates a well-defined procedure to be followed. Such endeavors need a specific combination of education, experience, and certifications. To comprehend the requisites better, one can refer to the comprehensive guide that elucidates the requirements to become an English teacher in Texas. It painstakingly details the steps involved, including obtaining the appropriate degree, passing state-required exams, gaining useful experience, and acquiring the necessary certification. It's a handy resource for individuals aspiring to contribute meaningfully to the field of human-computer interaction by improving the effectiveness of communication. This new profession could be a stepping stone into the fascinating world of ACM Transactions and Computer-Human Interaction, providing a way to not just study, but actively contribute and innovate within this realm.

Top Publications

  • Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support the Development of Effective and Implementable ML Systems

    Anja Thieme;Danielle Belgrave;Gavin Doherty

    (2020)
    346 Citations
  • Use of Intelligent Voice Assistants by Older Adults with Low Technology Use

    Alisha Pradhan;Amanda Lazar;Leah Findlater

    (2020)
    242 Citations
  • Embracing Four Tensions in Human-Computer Interaction Research with Marginalized People

    Calvin A. Liang;Sean A. Munson;Julie A. Kientz

    (2021)
    186 Citations
  • Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions

    Ziang Xiao;Michelle X. Zhou;Q. Vera Liao;Gloria Mark

    (2020)
    159 Citations
  • “It’s Weird That it Knows What I Want”: Usability and Interactions with Copilot for Novice Programmers

    Unknown

    (2023)
    154 Citations
  • Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems

    (2022)
    98 Citations
  • SMELL SPACE: Mapping out the Olfactory Design Space for Novel Interactions

    Emanuela Maggioni;Robert Cobden;Dmitrijs Dmitrenko;Kasper Hornbæk

    (2020)
    92 Citations
  • Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing: A Machine Learning Approach With Robust Feature Selection

    Prerna Chikersal;Afsaneh Doryab;Michael Tumminia;Daniella K. Villalba

    (2021)
    90 Citations
  • Expanding the Bounds of Seated Virtual Workspaces

    Mark Mcgill;Aidan Kehoe;Euan Freeman;Stephen Brewster

    (2020)
    86 Citations
  • Remote VR Studies: A Framework for Running Virtual Reality Studies Remotely Via Participant-Owned HMDs

    (2021)
    74 Citations

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