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22ND ACM International Conference on Intelligent Virtual Agents (IVA)

22ND ACM International Conference on Intelligent Virtual Agents (IVA) (IVA)

Name: Intelligent Virtual Agents
Start: 2022-09-06
End: 2022-09-09
Location: Faro

Location: Faro , Portugal

Submission deadline: 5/2/2022

Conference dates: 9/6/2022 - 9/9/2022

Research H-index

Official website

Ranking & Metrics

Discipline name	Position	Best Scientists	Publications	D-Index
Computer Science	231	45	104	14

Call for Papers

The Intelligent Virtual Agents (IVA) Annual Conference is the premier international event for interdisciplinary research on the design, application, and evaluation of Intelligent Virtual Agents (IVAs) with a specific focus on the ability to socially interact. IVAs are interactive characters that exhibit human-like qualities including communicating using natural human modalities such as facial expressions, speech, and gesture.

IVA 2022 aims to showcase cutting-edge research on the design, application, and evaluation of IVAs, as well as the basic research underlying the technology that supports human-agent interaction such as social perception, dialog modeling, and social behavior planning. This year, we particularly encourage submissions exploring the challenges of developing, authoring, and deploying multi-IVA reusable environments targeted both at expert and non-expert users.

IVA 2022 offers three submission tracks: Full Papers (7 pages + 1 additional page for references), Extended Abstracts (2 pages + 1 additional page for references), and Demos (2 pages + 1 additional page for references, a hyperlink to a video of the demo must be present in the pdf). We welcome and encourage the submission of early results and work in progress as Extended Abstracts.

All submissions will be double-blind peer-reviewed by a group of external expert reviewers. All accepted submissions will be published in the ACM proceedings. Accepted Full Papers and selected Extended Abstracts will be included in moderated panel sessions, spread out across the conference week. For each accepted contribution, at least one of the authors must register for the conference.

During the IVA submission process for full papers, extended abstracts, and demos, the authors will be given the opportunity to comment on the initial reviews written on their submissions, during a rebuttal period. The main purpose of the rebuttal period is to help the program committee to improve the quality and accuracy of the reviewing and decision process, by having the author point out potential omissions and mistakes (both conceptual and technical) in the reviews.

IVA 2022 will also feature workshops, the GALA event, and Doctoral Consortium. Please visit the corresponding pages for more details on the contributions to these events.

Please visit the Important Dates page for the details on the deadlines.

Scope and List of Topics
IVA invites submissions on a broad range of topics, including but not limited to:

Agent Design and modeling of:

Cognition
Emotion (including personality and cultural differences)
Socially communicative behavior (e.g., of emotions, personality traits)
Conversational behavior
Social perception
Machine learning approaches to agent modeling
Approaches to realizing adaptive behavior
Models informed by theoretical and empirical research from psychology
Multimodal interaction:

Verbal and nonverbal behavior coordination
Face-to-face communication skills
Engagement
Managing co-presence and interpersonal relation
Multi-party interaction
Data-driven multimodal modeling
Social agent architectures:

Design criteria and design methodologies
Engineering of real-time human-agent interaction
Standards / measures to support interoperability
Portability and reuse
Specialized tools, toolkits, and toolchains
Evaluation methods and studies:

Evaluation methodologies and user studies
Ethical considerations and societal impact
Applicable lessons across fields (e.g. between robotics and virtual agents)
Social agents as a means to study and model human behavior
Applications:

Applications in education, skills training, health, counseling, games, art, etc.
Virtual agents in games and simulations
Social agents as tools in psychology
Migration between platforms
Special IVA 2022 Topic
Developing, Authoring, and Deploying Multi-IVA Environments

Intelligent Virtual Agents, whether virtually or physically embodied, is a technology that has an enormous potential in a myriad of applications including tutoring, entertainment, medicine, and educational games. Research advances in how they perceive the environment, reason, and decide how to interact with other agents and humans have powered the creation of IVAs that act in an autonomous and socially intelligent way. Challenges exist in creating technology that can be reused and easily deployed in the most diverse contexts and applications by expert and non-expert users, with minimal authoring effort, allowing the author to focus only on the purpose of the IVA. IVA 2022 welcomes researchers and developers across disciplines to share their work on the challenges of developing, authoring, and deploying Multi-IVA Environments.

Types of Submission
Full papers (7 pages + 1 additional page for references). Full papers should present significant, novel, and substantial work of high quality that needs proceedings space to explain and replicate the work.
Extended Abstracts (2 pages + 1 additional page for references). Extended abstracts should either discuss the relevance for IVA of recently published important work by the authors, or early results, or standard studies and approaches that do not need significant proceedings space to explain and replicate.
Demos (2 pages + 1 additional page for references, a hyperlink to a video of the demo must be present in the pdf). Demo abstracts focus on demo-ability and application of an implemented system. Each demo should be accompanied by one demo submission.
Supplementary material: IVA 2022 does not contemplate the upload of supplementary material. If necessary to direct readers to supplemental data, we encourage authors to host such material in a public repository and add a link to it in the paper.

Instructions for Authors
Paper submissions should be anonymous and prepared in the “ACM Standard” format, more specifically the “SigConf” format.

The LaTeX template for the “ACM Standard”/”SigConf” format can be found inside the official 2021 ACM Master article template package. Please use the most recent version available at: https://www.acm.org/publications/proceedings-template#h-latex-authors
The “ACM Standard” Microsoft Word template is currently not part of the downloadable package as the ACM is currently revising it to improve accessibility of resulting PDF-documents. Please use the “Interim Word Template” instead as per the instructions in: https://www.acm.org/publications/proceedings-template#h-word-authors

Overview

This comprehensive ranking presents a meticulous evaluation of scientific conferences in the field of Computer Science, developed to serve as a reliable resource for researchers, academics, and institutions seeking authoritative data on conference impact and credibility. The ranking has been prepared by Research.com, a leading platform acclaimed for its extensive coverage of science research across all major fields, including Computer Science, and for delivering trusted insights into scientific contributions since 2014.

The conference positions featured in this ranking are determined by a unique bibliometric score, expertly crafted by Research.com. This score is calculated through an advanced methodology that incorporates the estimated h-index and the number of leading scientists who have participated in each conference over the past three years. This approach ensures a balanced and robust evaluation of each conference's scientific influence and the prominence of its contributors.

To achieve this rigorous analysis, the ranking process entailed a comprehensive examination of more than 2,742 carefully selected conferences. These were chosen following a detailed inspection and rigorous review of over 148,739 scientific documents published within the previous three years, representing the work of 13,184 renowned scientists recognized for their contributions to Computer Science. The Impact Score values presented in this ranking were meticulously gathered as of 2024-11-27, offering the most current perspective on conference impact.

For a comprehensive understanding of the analytical processes and criteria applied in developing these ranking scores, we invite you to consult the full details on our Methodology Page.

Papers citation over time

A key indicator for each conference 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 at Intelligent Virtual Agents (based on the number of publications) are:

Jonathan Gratch (42 papers) published 4 papers at the last edition, 2 more than at the previous edition,
Stefan Kopp (39 papers) published 3 papers at the last edition the same number as at the previous edition,
Catherine Pelachaud (38 papers) published 2 papers at the last edition, 1 more than at the previous edition,
Timothy Bickmore (36 papers) published 2 papers at the last edition, 3 less than at the previous edition,
Stacy Marsella (30 papers) published 1 paper at the last edition.

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

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Intelligent Virtual Agents (based on the number of publications) are:

University of Southern California (76 papers) published 9 papers at the last edition, 4 more than at the previous edition,
Northeastern University (44 papers) published 3 papers at the last edition, 3 less than at the previous edition,
University of Twente (41 papers) published 6 papers at the last edition, 5 more than at the previous edition,
Bielefeld University (33 papers) published 3 papers at the last edition the same number as at the previous edition,
Télécom ParisTech (23 papers) absent at the last edition.

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

Publication chance based on affiliation

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

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 2017 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 42.62% were posted by at least one author from the top 10 institutions publishing at the conference. Another 6.56% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.95% of all publications and 27.87% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference 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 at a conference. The index includes the authors publishing at the last edition of a conference, 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.

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