Walking partner robot chatting about scenery. (18th August 2019)
- Record Type:
- Journal Article
- Title:
- Walking partner robot chatting about scenery. (18th August 2019)
- Main Title:
- Walking partner robot chatting about scenery
- Authors:
- Sono, Taichi
Satake, Satoru
Kanda, Takayuki
Imai, Michita - Abstract:
- ABSTRACT: We believe that many future scenarios will exist where a partner robot will talk with people on walks. To improve the user experience, we aim to endow robots with the capability to select an appropriate conversation topics by allowing them to start chatting about a topic that matches the current scenery and to extend it based on the user's interest and involvement in it. We implemented a function to compute the similarities between utterances and scenery by comparing their topic vectors. First, we convert the scenery into a list of words by leveraging Google Cloud Vision library [Google Cloud Vision Api [Online]. Available from: https://cloud.google.com/vision/ ] . We form a topic vector space with the Latent Dirichlet Allocation method and transform a list of words into a topic vector. Our system uses this function to choose (from an utterance database) the utterance that best matches the current scenery. Then it estimates the user's level of involvement in the chat with a simple rule based on the length of their responses. If the user is actively involved in the chat topic, the robot continues the current topic using pre-defined derivative utterances. If the user's involvement sags, the robot selects a new topic based on the current scenery. The topic selection that is based on the current scenery was proposed in our previous work [Totsuka R, Satake S, Kanda T, et al. Is a robot a better walking partner if it associates utterances with visual scenes? ACM/IEEEABSTRACT: We believe that many future scenarios will exist where a partner robot will talk with people on walks. To improve the user experience, we aim to endow robots with the capability to select an appropriate conversation topics by allowing them to start chatting about a topic that matches the current scenery and to extend it based on the user's interest and involvement in it. We implemented a function to compute the similarities between utterances and scenery by comparing their topic vectors. First, we convert the scenery into a list of words by leveraging Google Cloud Vision library [Google Cloud Vision Api [Online]. Available from: https://cloud.google.com/vision/ ] . We form a topic vector space with the Latent Dirichlet Allocation method and transform a list of words into a topic vector. Our system uses this function to choose (from an utterance database) the utterance that best matches the current scenery. Then it estimates the user's level of involvement in the chat with a simple rule based on the length of their responses. If the user is actively involved in the chat topic, the robot continues the current topic using pre-defined derivative utterances. If the user's involvement sags, the robot selects a new topic based on the current scenery. The topic selection that is based on the current scenery was proposed in our previous work [Totsuka R, Satake S, Kanda T, et al. Is a robot a better walking partner if it associates utterances with visual scenes? ACM/IEEE Int. Conf. on Human–Robot Interaction (HRI2017), Aula der Wissenschaft, Vienna, Austria; 2017. p. 313–322]. Our main contribution is the whole chat system, which includes the user's involvement estimation. We implemented our system with a shoulder-mounted robot and conducted a user study to evaluate its effectiveness. Our experimental results show that users evaluated the robot with the proposed system as a better walking partner than one that randomly chose utterances. GRAPHICAL ABSTRACT: UF0001 … (more)
- Is Part Of:
- Advanced robotics. Volume 33:Number 15/16(2019)
- Journal:
- Advanced robotics
- Issue:
- Volume 33:Number 15/16(2019)
- Issue Display:
- Volume 33, Issue 15/16 (2019)
- Year:
- 2019
- Volume:
- 33
- Issue:
- 15/16
- Issue Sort Value:
- 2019-0033-NaN-0000
- Page Start:
- 742
- Page End:
- 755
- Publication Date:
- 2019-08-18
- Subjects:
- Walking partner robot -- chatting while walking -- association of utterance and visual scene -- topic selection
Robotics -- Periodicals
Robotics -- Japan -- Periodicals
Robotics
Japan
Periodicals
629.89205 - Journal URLs:
- http://www.catchword.com/rpsv/cw/vsp/01691864/contp1.htm ↗
http://catalog.hathitrust.org/api/volumes/oclc/14883000.html ↗
http://www.tandfonline.com/toc/tadr20/current ↗
http://www.tandfonline.com/ ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0169-1864;screen=info;ECOIP ↗
http://www.ingentaselect.com/vl=16659242/cl=11/nw=1/rpsv/cw/vsp/01691864/contp1.htm ↗ - DOI:
- 10.1080/01691864.2019.1610062 ↗
- Languages:
- English
- ISSNs:
- 0169-1864
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0696.926500
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 23755.xml