HRI 2019 WORKSHOP ON SOCIAL HUMAN-ROBOT

INTERACTION OF HUMAN-CARE SERVICE ROBOTS

March 11-14, 2019 

EXCO Convention Center, Daegu, Korea

The 14th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI 2019) invites papers for a Workshop on Social Human-Robot Interaction of Human-care Service Robots.

Service robots with social intelligence are coming to the human world, and they will help us to make our lives better. We are organizing an exciting workshop at HRI 2019 that is oriented towards sharing the ideas of participants with diverse backgrounds ranging from Human-Robot Interaction design, social intelligence, decision making, social psychology and robotic skills. The purpose of this workshop is to explore how social robots can interact with humans socially and facilitate the integration of social robots into our daily lives.

This workshop will focus on the current advances in the area of social Human-Robot Interaction, social intelligence, social skills, and their applications including clinical evaluations, user studies exploring consumer acceptance of social robots, and so on. Papers are solicited on all areas directly related to these topics, including but not limited to:

  • Social perception and context awareness
  • Short/long-term behaviour recognition
  • Social expression and interactive behavior
  • Social task modelling and management
  • Social grasping and navigation skills
  • Social humanoid robot design
  • Human-robot interaction design
  • Emotion recognition and model design
  • Dialogue based interaction
  • User evaluation
  • Applications such as healthcare, receptionist, education

All papers for this workshop must be submitted in PDF format and conform to ACM SIG Proceedings specifications. Please note that we are not following the SIGCHI format, but rather the general ACM SIG format. Templates are available at the ACM webpage (http://www.acm.org/publications/proceedings-template), where you should use the sample-sigconf.tex or ACM_SigConf.docx files.

Submission Instructions

We invite short papers of 2-4 pages in the standard double-column ACM HRI conference format. Submissions should be in accordance with the topics of interest, and they will be available on the workshop’s website: https://cares.blogs.auckland.ac.nz/education/activities-on-international-conferences-and-journals/hri-2019-deeptask/

Templates (sigconf): http://www.acm.org/sigs/publications/proceedings-templates

Email your papers to Ho Seok Ahn (hs.ahn@auckland.ac.nz) by the submission due.

Important Dates

  • Paper submission: February 1, 2019
  • Notification of acceptance: February 20, 2019
  • Final camera-ready manuscript: March 1, 2019
  • Final slide/poster file: March 7, 2019

Workshop Program (TBD)
9:00 – 9:10 Greeting & Opening
9:10 – 10:10 Invited Session I
10:10 – 10:30 Interactive Session Teaser
10:30 – 10:50 Coffee break
10:50 – 11:20 Interactive Session Poster
11:20 – 12:05 Invited Session II
12:05 – 12:40 Panel Discussion
12:40 – 13:00 Closing

Invited Speakers 

  • David Michael Sirkin (Stanford University, USA)

  • Luis Yoichi Morales Saiki (Nagoya University, Japan)

  • Hee Rin Lee (Michigan State University)

Technical Speakers (Interactive session)

  • Towards Long-Term Relations in Social Robot Interactions [Teaser]   
    Kristiina Jokinen (AIST, Japan), Graham Wilcock (Kyoto University, Japan)
  • Developing robotics healthcare technology according to the needs of a public body [Teaser]  
    Franziska Kirstein (Blue Ocean Robotics), Fernando Fernández Rebollo (Universidad Carlos III), Juan Pedro Bandera, Antonio Bandera (University of Malaga), Cristina Suarez (Servicio Andaluz de Salud)
  • Evaluation of Robot Social Intelligence based on the ESI(Evaluation of Social Interaction) Assessment [Teaser]  
    Miyoung Cho (ETRI, Korea)
  • A Color-Based Hair Detection Technology Using 3D Camera [Teaser] 
    SeongWoo Park (ETRI, Korea)
  • Motivation-based Social Expression for Agent’s Learning Performance Representation [Teaser]  
    WonHyong Lee, and Chung Hyuk Park (The George Washington Univ., USA)
  • Online-sequential extreme learning machine based double thresholding strategy for human detection and tracking [Teaser]  
    Youngmin Park (KAIST, Korea)
  • Data Acquisition System at the Living Labs for Elderly Care Robot [Teaser]  
    Dongin Shin (KETI, Korea)
  • User Perception on IoT-based Social Robot Applications in Hospital Settings [Teaser]  
    Min-Gyu Kim, Nahyun Lee (Korea Institute of Robot and Convergence, Korea), SunKyuong Kim (University of Tsukuba, Japan), Sang-Seok Yun (Silla University, Korea)
  • A Synthetic Data Creation Platform for Daily Activity Recognition of Elderly People [Teaser]  
    Geon Woo Park (KIST, Korea)
  • Toward real-time personality recognizer for social human-robot interaction [Teaser]  
    Hyeonuk Bhin (KIST, Korea)
  • Designing Social Dialogue Model for Human-Robot Interactions [Teaser]  
    Seo-young Lee, Gyeore Lee, Jongsuk Choi, Yoonseob Lim (KIST, Korea)
  • Generation of co-speech gestures using gesture unit and type based on morphemic analysis of robot utterances [Teaser]  
    YuJung Chae, ChangHwan Kim, Sung-Kee Park (KIST, Korea)
  • Predictive Driving For Human Passenger Comfortable Navigation [Teaser]  
    Luis Yoichi Morales Saiki (Nagoya University, Japan) 
  • Human Intention Prediction Using Two-Stream Spatio-Temporal Features [Teaser]   
    Shengchao Li, Lin Zhang, and Xiumin Diao (Purdue University) 
  • Implementation of Obscured Object Grasping Using A PDDL Based Task-Motion Planner [Teaser] 
    Jeongmin Jeon (Sungkyunkwan University, Korea) 
  • ‘Pass Me the Cup!’ Object Passing Service with Stable Pushing Planner [Teaser] 
    Sujong Kim (Sungkyunkwan University, Korea)  
  • Enabling Socially Competent navigation through incorporating HRI [Teaser]
    Arturo Cruz-Maya, Fernando Garcia, Amit Kumar Pandey (Softbank Robotics Europe) 
  • Visual Perception Framework for Human care Service Robots [Teaser]
    Chung Yeon Lee, Hyundo Lee, Injune Hwang, Byoung Tak Zhang (Surromind Robotics, Seoul National University)
  • Robots for people with early stage dementia at home [Teaser]  
    Elizabeth Broadbent, Ho Seok Ahn, Craig Sutherland, Mikaela Law, Sara Vajsakovic, Bruce A. MacDonald (The University of Auckland, New Zealand) 
  • Intention prediction from sentence using CNN for Robot Behavior Generation [Teaser]  
    JongYoon Lim, Ho Seok Ahn, Bruce A. MacDonald (The University of Auckland, New Zealand)

Conference Information

Workshop Organizers

  • Ho Seok Ahn, University of Auckland, New Zealand (hs.ahn[at]auckland.ac.nz)
  • Jongsuk Choi, KIST, Korea (pristine70[at]gmail.com)
  • Hyungpil Moon, SungKyunKwan University, Korea (hyungpil[at]me.skku.ac.kr)
  • Minsu Jang, ETRI, Korea (minsu[at]etri.re.kr)
  • Sonya S. Kwak, KIST, Korea (sonakwak@gmail.com)
  • Yoonseob Lim, KIST, Korea (yslim[at]kist.re.kr)