Interaction Patterns in Human Augmented Mapping
Topp, Elin Anna LU
(2017)
In Advanced Robotics
31(5).
p.258-267
- Abstract
- Interactive robots can benefit from learning from humans in situated communications, for instance in a guided tour, where the human user explains the environment to a mobile robot, or from being instructed to handle a specific task in an industrial setting. We have to assume that human users do not always give unambiguous or consistent information, which might result in inconsistent information being stored, which can later lead to confusing situations in further interaction with the user. We suggest to consider behavioural features observable from user actions, including commands given to the robot, to detect inconsistencies in the information given by the user with respect to the overall understanding of the situation. We explain our... (More)
- Interactive robots can benefit from learning from humans in situated communications, for instance in a guided tour, where the human user explains the environment to a mobile robot, or from being instructed to handle a specific task in an industrial setting. We have to assume that human users do not always give unambiguous or consistent information, which might result in inconsistent information being stored, which can later lead to confusing situations in further interaction with the user. We suggest to consider behavioural features observable from user actions, including commands given to the robot, to detect inconsistencies in the information given by the user with respect to the overall understanding of the situation. We explain our concept of Interaction Patterns and discuss how such patterns can be applied to support hypothesis generation regarding the category of a presented item in a guided tour scenario, which can lead to meaningful request formulation in mixed-initiative interaction. We report on results regarding the identification of Interaction Patterns in data from a user study with 37 subjects. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3b31960c-4faa-431a-a87a-350adb5d5a55
- author
- Topp, Elin Anna
LU
- organization
- publishing date
- 2017
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Advanced Robotics
- volume
- 31
- issue
- 5
- pages
- 258 - 267
- publisher
- Taylor & Francis
- external identifiers
-
- scopus:85010987798
- wos:000396783900004
- ISSN
- 0169-1864
- DOI
- 10.1080/01691864.2017.1281758
- project
- SMErobotics
- language
- English
- LU publication?
- yes
- id
- 3b31960c-4faa-431a-a87a-350adb5d5a55
- date added to LUP
- 2016-12-23 15:24:02
- date last changed
- 2022-04-24 20:24:09
@article{3b31960c-4faa-431a-a87a-350adb5d5a55,
abstract = {{Interactive robots can benefit from learning from humans in situated communications, for instance in a guided tour, where the human user explains the environment to a mobile robot, or from being instructed to handle a specific task in an industrial setting. We have to assume that human users do not always give unambiguous or consistent information, which might result in inconsistent information being stored, which can later lead to confusing situations in further interaction with the user. We suggest to consider behavioural features observable from user actions, including commands given to the robot, to detect inconsistencies in the information given by the user with respect to the overall understanding of the situation. We explain our concept of Interaction Patterns and discuss how such patterns can be applied to support hypothesis generation regarding the category of a presented item in a guided tour scenario, which can lead to meaningful request formulation in mixed-initiative interaction. We report on results regarding the identification of Interaction Patterns in data from a user study with 37 subjects.}},
author = {{Topp, Elin Anna}},
issn = {{0169-1864}},
language = {{eng}},
number = {{5}},
pages = {{258--267}},
publisher = {{Taylor & Francis}},
series = {{Advanced Robotics}},
title = {{Interaction Patterns in Human Augmented Mapping}},
url = {{http://dx.doi.org/10.1080/01691864.2017.1281758}},
doi = {{10.1080/01691864.2017.1281758}},
volume = {{31}},
year = {{2017}},
}