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International Conference Human-Agent Interaction

International Conference Human-Agent Interaction

Christchurch , New Zealand

Submission Deadline: Thursday 30 Jun 2022

Conference Dates: Dec 05, 2022 - Dec 08, 2022

Research
Impact Score 0.40

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 0.40
Contributing Best Scientists: 3
H5-index:
Papers published by Best Scientists 4
Research Ranking (Computer Science) 583
Research Ranking (Psychology) 26

Conference Call for Papers

CALL FOR PAPERS
Call For Papers

The 10th International Conference on Human-Agent Interaction (HAI 2022)

December 5-8, Christchurch, New Zealand

The Tenth International Conference on Human-Agent Interaction (HAI 2022) aims to be the premier interdisciplinary venue for discussing and disseminating state-of-the-art research and results that have implications across conventional interaction boundaries including robots, software agents and digitally-mediated human-human communication. HAI will gather researchers from fields spanning engineering, computer science, psychology and sociology, and will cover diverse topics, including: human-robot interaction, affective computing, computer-supported collaborative work, gaming and serious games, artificial intelligence, and more.

The theme for the HAI2022 conference will be “Real-Virtuality: Merging the Physical and Digital worlds”. Indeed, during the past two years a lot of the interactions moved online; this year, hybrid interactions are becoming possible. This regain of the virtual world combined with advances in robotics and embodied intelligence offers new opportunities for researchers to explore the connections between the physical and digital realm. Agents, avatars and robots that can mediate and extend the human’s capabilities allowing a seamless continuum between metaverse and real world. While all submissions related to HAI are welcome, you are especially encouraged to submit papers in line with the theme for HAI 2022. The HAI conference seeks contributions from a broad range of disciplines such as engineering, computer science, psychology, sociology, cognitive science, business, marketing and design. We hope to be a venue to connect these diverse areas, even though the conference will be online.

Topics include, but are not limited to:

studies of Human-Agent Interaction, with quantitative/qualitative results;
theoretical models;
technological advances;
experimental methods;
impacts of embodiment;
character and avatar design; and
agents in applications, e.g. self-driving cars, social networks.
agents in business and marking
experience design
Autonomous and adaptive agents/systems

Overview

Top Research Topics at Human-Agent Interaction?

  • Robot (37.61%)
  • Human–computer interaction (34.86%)
  • Artificial intelligence (24.04%)

Human-Agent Interaction explores disciplines such as Robot, Human–computer interaction, Artificial intelligence, Human–robot interaction and Social psychology. The Robot works featured in the conference incorporate elements from Cognitive psychology and Gaze. The conference focuses on Gaze as well as the interrelated topic of Eye tracking.

The research on Human–computer interaction tackled can also make contributions to studies in the areas of Context (language use), Multimedia, Perception and Communication. Artificial intelligence research featured in Human-Agent Interaction incorporates concerns from various other topics such as Machine learning, Computer vision and Natural language processing. In it, Simulation and Set (psychology) are investigated in conjunction with one another to address concerns in Human–robot interaction research.

What are the most cited papers published at the conference?

  • Pedestrian Notification Methods in Autonomous Vehicles for Multi-Class Mobility-on-Demand Service (51 citations)
  • I'm Sorry, Dave, I'm Afraid I Can't Do That: Chatbot Perception and Expectations (51 citations)
  • Can a social robot help children's understanding of science in classrooms? (40 citations)

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

The published articles are organized to reinforce research efforts on Robot, Human–computer interaction, Human–robot interaction, Artificial intelligence and Humanoid robot. The works on Robot tackled in the conference publications bring together disciplines like Adaptation (computer science) and Communication. Issues in Artificial intelligence were discussed in the conference publications, taking into consideration concepts from other disciplines like Contrast (statistics) and Computer vision.

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

  • Artificial intelligence
  • Social psychology
  • The Internet

The previous edition focused in particular on these issues:

The conference was organized to reinforce research efforts on Human–computer interaction, Robot, Cognitive psychology, Human–robot interaction and Gaze. The featured Human–computer interaction research zeroes in on concepts in Virtual reality but also tackles themes under Focus (computing). The featured works in Humanoid robot, which all belong in the domain if Robot, also overlaps with concepts under Field (computer science).

In addition to Cognitive psychology research, it aims to explore topics under Persuasion, Affect (psychology), Modality (human–computer interaction), Virtual actor and Reinforcement learning. The studies in Human–robot interaction featured incorporate elements of Multitude, Nao robot and Social robot. The work on Gaze tackled in the conference brings together disciplines like BitTorrent tracker, Social facilitation, Proxemics, Point (typography) and Eye contact.

The most cited articles from the last conference are:

  • Can a Humanoid Robot Engage in Heartwarming Interaction Service at a Hotel (15 citations)
  • Getting to know Pepper: Effects of people's awareness of a robot's capabilities on their trust in the robot (12 citations)
  • Technological and Interpersonal Trust in Child-Robot Interaction: An Exploratory Study (12 citations)

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.

Research.com

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

  • Michita Imai (5 papers) published 5 papers at the last edition,
  • Elizabeth Sklar (5 papers) published 5 papers at the last edition,
  • Tomoko Yonezawa (5 papers) published 5 papers at the last edition,
  • Masahiko Osawa (4 papers) published 4 papers at the last edition,
  • Natsuki Oka (3 papers) published 3 papers 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.

Research.com

Only papers with recognized affiliations are considered

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

  • Kansai University (5 papers) published 5 papers at the last edition,
  • Keio University (4 papers) published 4 papers at the last edition,
  • King's College London (4 papers) published 4 papers at the last edition,
  • Kyoto University (3 papers) published 3 papers at the last edition,
  • Imperial College London (3 papers) published 3 papers 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.

Research.com

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.

Research.com

During the most recent 2018 edition, 2.90% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 43.28% were posted by at least one author from the top 10 institutions publishing at the conference. Another 23.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.36% of all publications and 4.48% 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.

Research.com

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.

Research.com

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).

Research.com

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

Research.com

Previous Editions

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