3 October 2014: Submission of full papers
10-14 November 2014: Author Rebuttal Period
24 November 2014: Notification of full paper acceptance
3 January 2015: Final camera-ready full papers due
2-5 March 2015: Main Conference
Authors are invited to submit full paper manuscripts. Eight (8) anonymized camera-ready pages (templates are available for MS Word and LaTeX2e), including figures, are allowed for each full paper. Authors should review the HRI guidelines for anonymizing submissions. Authors are also encouraged read the Open Letter to the HRI Community that describes the changes in the peer-review process for HRI 2015. Full papers must be submitted according the deadlines above to the submission and review website. Accepted full papers will be published in the “main proceedings” of the conference, archived in the ACM Digital Library, and be presented in an oral session. For questions, please contact program co-chairs Bilge Mutlu and Leila Takayama at firstname.lastname@example.org.
To facilitate quality interdisciplinary reviewing, authors of full paper submissions will be required to select a theme for their work as “Studies of Human-Robot Interaction,” “Enabling Technologies,” Enabling Design,” “Enabling Method,” or “Enabling Knowledge.” These themes represent different types of contributions to human-robot interaction and thus involve different criteria for evaluating what constitutes a significant contribution to the field. For instance, work on enabling technologies must demonstrate technical soundness and feasibility in targeted domains, but do not necessarily have to demonstrate effectiveness through user studies. Common to contributions across all themes are top-quality research that demonstrates technical soundness, methodological rigor, and/or practical usefulness, as has been established by the HRI Community in the last decade.
The “Studies of Human-Robot Interaction” theme includes naturalistic and experimental studies of how humans and robots interact in real-world settings or might interact in experimental scenarios to establish new understanding, principles, and design recommendations for human-robot interaction. Submissions under this theme must provide a detailed account of the research method, robot platform and behaviors, manipulations (if any) and measurements used, and data obtained from the study.
Theme Chair: Takayuki Kanda, ATR
- Rachid Alami, LAAS/CNRS
- Tony Belpaeme, Plymouth University
- Cindy Bethel, Mississippi State University
- Guy Hoffman, IDC Herzliya
- Yukie Nagai, Osaka University
- Brian Scassellati, Yale University
- Adriana Tapus, ENSTA-ParisTech
- James Young, University of Manitoba
“Enabling Technologies” include contributions that describe new robot systems, algorithms, and computational methods that enable robots to better understand, interact with, and collaborate with their users. Submissions under this theme must present the proposed technology or method in a form that allows replication, such as formal descriptions, pseudocode, or open-sourced code, demonstrate the applicability of the technology for enabling human-robot interaction, and evaluate the soundness of the proposed technology using methods that are best suited to assess technical soundness.
Theme Chair:Nicholas Roy, Massachusetts Institute of Technology
- Brenna Argall, Northwestern University
- Kai Oliver Arras, University of Freiburg
- Maya Cakmak, University of Washington
- Ana Paiva, University of Porto
- Julie Shah, Massachusetts Institute of Technology
- Siddhartha Srinivasa, Carnegie Mellon University
- Stefanie Tellex, Brown University
3. The “Enabling Designs” theme involves contributions that describe new robot designs, including new robot morphology, behaviors, or services. Submissions that fall under this theme must provide a detailed account of the process followed as well as resources and materials involved in the design of the robot, steps that the design team has taken to ensure good design choices, such as formative evaluations, design iterations, and heuristics carried out, and a clear demonstration of the promise of the new design in enabling human-robot interaction.
Theme Chair: Jodi Forlizzi, Carnegie Mellon University
- Wendy Ju, Stanford University
- Sonya Kwak, Ewha Womans University
- Mark Neerincx, TNO & Delft University of Technology
“Enabling Methods” include contributions that describe new techniques and methods that enable the study, analysis, or construction of human-robot interactions form. Submissions to this category must provide a detailed description of the proposed technique, method, or measurement, analysis, or synthesis tool in a form that enables use by the community, a demonstration of how it may be employed to study, analyze, or synthesize interaction, such as a tutorial, and an evaluation of the usefulness of the technique, method, or tool through case studies or its applications to available datasets.
Theme Chair: Greg Trafton, Navy Research Laboratory
- Kerstin Fischer, South Denmark University
- Dylan Glas, ATR
- Min Kyung Lee, Carnegie Mellon University
- Laurel Riek, University of Notre Dame
- Selma Sabanovic, Indiana University
- Aaron Steinfeld, Carnegie Mellon University
- Andrea Thomaz, Georgia Institute of Technology
- Holly Yanco, University of Massachusetts Lowell
The “Enabling Knowledge” theme describes contributions that provide new understanding of human interaction, needs, and environments that will inform the development of new robot technologies, systems, and applications. Submissions that fall under this theme must describe studies that characterize human interactions or behaviors that future robot systems may support, reveal human needs that future robot systems may meet, or describe environments in which robot systems may function. These submissions must provide rich knowledge about humans and demonstrate the rigor with which such knowledge was constructed, such as details on coding procedure, reliability analysis, etc.
Theme Chair: Manfred Tscheligi, University of Salzburg
- Vanessa Evers, University of Twente
- Malte Jung, Cornell University
- Astrid Weiss, Vienna University of Technology