An empathy learning problem for HSI

To be empathic, self-improving and ambient

Roberto Legaspi, Satoshi Kurihara, Ken Ichi Fukui, Koichi Moriyama, Masayuki Numao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Empathy is a learnable skill that requires experiential learning and practice of empathic ability for it to improve and mature. In the context of human-system interaction (HSI) this can mean that a system should be permitted to have an initial knowledge of empathy provision that is inaccurate or incomplete, but with this knowledge evolving and progressing over time through learning from experience. This problem has yet to be defined and dealt in HSI. This paper is an attempt to state an empathy learning problem for an ambient intelligent system to self-improve its empathic responses based on user affective states.

Original languageEnglish
Title of host publication2008 Conference on Human System Interaction, HSI 2008
Pages209-214
Number of pages6
DOIs
Publication statusPublished - 2008 Sep 22
Externally publishedYes
Event2008 Conference on Human System Interaction, HSI 2008 - Krakow, Poland
Duration: 2008 May 252008 May 27

Other

Other2008 Conference on Human System Interaction, HSI 2008
CountryPoland
CityKrakow
Period08/5/2508/5/27

Fingerprint

Intelligent systems
Problem-Based Learning

Keywords

  • Empathic computing
  • Machine learning
  • User modeling and user-adaptive interfaces

ASJC Scopus subject areas

  • Human-Computer Interaction

Cite this

Legaspi, R., Kurihara, S., Fukui, K. I., Moriyama, K., & Numao, M. (2008). An empathy learning problem for HSI: To be empathic, self-improving and ambient. In 2008 Conference on Human System Interaction, HSI 2008 (pp. 209-214). [4581435] https://doi.org/10.1109/HSI.2008.4581435

An empathy learning problem for HSI : To be empathic, self-improving and ambient. / Legaspi, Roberto; Kurihara, Satoshi; Fukui, Ken Ichi; Moriyama, Koichi; Numao, Masayuki.

2008 Conference on Human System Interaction, HSI 2008. 2008. p. 209-214 4581435.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Legaspi, R, Kurihara, S, Fukui, KI, Moriyama, K & Numao, M 2008, An empathy learning problem for HSI: To be empathic, self-improving and ambient. in 2008 Conference on Human System Interaction, HSI 2008., 4581435, pp. 209-214, 2008 Conference on Human System Interaction, HSI 2008, Krakow, Poland, 08/5/25. https://doi.org/10.1109/HSI.2008.4581435
Legaspi R, Kurihara S, Fukui KI, Moriyama K, Numao M. An empathy learning problem for HSI: To be empathic, self-improving and ambient. In 2008 Conference on Human System Interaction, HSI 2008. 2008. p. 209-214. 4581435 https://doi.org/10.1109/HSI.2008.4581435
Legaspi, Roberto ; Kurihara, Satoshi ; Fukui, Ken Ichi ; Moriyama, Koichi ; Numao, Masayuki. / An empathy learning problem for HSI : To be empathic, self-improving and ambient. 2008 Conference on Human System Interaction, HSI 2008. 2008. pp. 209-214
@inproceedings{9963ec6e46154a7696b691343f0ee590,
title = "An empathy learning problem for HSI: To be empathic, self-improving and ambient",
abstract = "Empathy is a learnable skill that requires experiential learning and practice of empathic ability for it to improve and mature. In the context of human-system interaction (HSI) this can mean that a system should be permitted to have an initial knowledge of empathy provision that is inaccurate or incomplete, but with this knowledge evolving and progressing over time through learning from experience. This problem has yet to be defined and dealt in HSI. This paper is an attempt to state an empathy learning problem for an ambient intelligent system to self-improve its empathic responses based on user affective states.",
keywords = "Empathic computing, Machine learning, User modeling and user-adaptive interfaces",
author = "Roberto Legaspi and Satoshi Kurihara and Fukui, {Ken Ichi} and Koichi Moriyama and Masayuki Numao",
year = "2008",
month = "9",
day = "22",
doi = "10.1109/HSI.2008.4581435",
language = "English",
isbn = "1424415438",
pages = "209--214",
booktitle = "2008 Conference on Human System Interaction, HSI 2008",

}

TY - GEN

T1 - An empathy learning problem for HSI

T2 - To be empathic, self-improving and ambient

AU - Legaspi, Roberto

AU - Kurihara, Satoshi

AU - Fukui, Ken Ichi

AU - Moriyama, Koichi

AU - Numao, Masayuki

PY - 2008/9/22

Y1 - 2008/9/22

N2 - Empathy is a learnable skill that requires experiential learning and practice of empathic ability for it to improve and mature. In the context of human-system interaction (HSI) this can mean that a system should be permitted to have an initial knowledge of empathy provision that is inaccurate or incomplete, but with this knowledge evolving and progressing over time through learning from experience. This problem has yet to be defined and dealt in HSI. This paper is an attempt to state an empathy learning problem for an ambient intelligent system to self-improve its empathic responses based on user affective states.

AB - Empathy is a learnable skill that requires experiential learning and practice of empathic ability for it to improve and mature. In the context of human-system interaction (HSI) this can mean that a system should be permitted to have an initial knowledge of empathy provision that is inaccurate or incomplete, but with this knowledge evolving and progressing over time through learning from experience. This problem has yet to be defined and dealt in HSI. This paper is an attempt to state an empathy learning problem for an ambient intelligent system to self-improve its empathic responses based on user affective states.

KW - Empathic computing

KW - Machine learning

KW - User modeling and user-adaptive interfaces

UR - http://www.scopus.com/inward/record.url?scp=51849121566&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=51849121566&partnerID=8YFLogxK

U2 - 10.1109/HSI.2008.4581435

DO - 10.1109/HSI.2008.4581435

M3 - Conference contribution

SN - 1424415438

SN - 9781424415434

SP - 209

EP - 214

BT - 2008 Conference on Human System Interaction, HSI 2008

ER -