Cristin-resultat-ID: 2151281
Sist endret: 3. januar 2024, 10:23
NVI-rapporteringsår: 2023
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2023

Health Professionals’ Views on the Use of Social Robots with Vulnerable Users: A Scenario-Based Qualitative Study Using Story Dialogue Method

Bidragsytere:
  • Diana Saplacan
  • Trenton Schulz
  • Jim Tørresen og
  • Zada Pajalic

Bok

Proceedings of the 32nd IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) 2023
ISBN:
  • 979-8-3503-3671-9

Utgiver

IEEE conference proceedings
NVI-nivå 1

Serie

Ro-Man Proceedings
ISSN 1944-9437

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2023
Hefte: 32
Sider: 421 - 428
ISBN:
  • 979-8-3503-3671-9
Open Access

Klassifisering

Fagfelt (NPI)

Fagfelt: Tverrfaglig teknologi
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

Health Professionals’ Views on the Use of Social Robots with Vulnerable Users: A Scenario-Based Qualitative Study Using Story Dialogue Method

Sammendrag

We used the story dialog method (SDM) to gather the viewpoints of health professionals about the use of social ro-bots in the home and healthcare services with vulnerable users. SDM consists of participants bringing stories that are discussed together. The aim of the study was to address universal design and accessibility issues with robots in specific use situations. Three social robots were used for this purpose in four stories: TIAGo, Romibo and robot companions. SDM method was used in two workshops with eight participants (33 invited, 12 re-cruited, and 8 participated in the end). The participants uncov-ered issues regarding ethics, responsibility, use of data, infra-structure, design, and user concerns based on provided stories and own experiences. These issues provide important aspects that should be considered when using robots with vulnerable us-ers and ensuring that a robot is usable by as many people as pos-sible. The main contribution of the paper is introducing the SDM method to Human-Robot Interaction community, as well as find-ings around universal design and accessibility of robots, in order to create more inclusive social robots.

Bidragsytere

Diana Saplacan

  • Tilknyttet:
    Forfatter
    ved Institutt for informatikk ved Universitetet i Oslo

Trenton Schulz

  • Tilknyttet:
    Forfatter
    ved Avdeling for anvendt IKT-forskning DART ved Norsk Regnesentral

Jim Tørresen

  • Tilknyttet:
    Forfatter
    ved Forskningsgruppe for robotikk og intelligente systemer ved Universitetet i Oslo
Aktiv cristin-person

Zada Pajalic

  • Tilknyttet:
    Forfatter
    ved Institutt for sykepleie ved VID vitenskapelige høgskole
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Resultatet er en del av Resultatet er en del av

Proceedings of the 32nd IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) 2023.

Choi, Jong Suk; Jang, Minsu; Park, Chung Hyuk; Kwon, Dong-Soo; Cho, Young-Jo; Kyung, Ki-Uk; Nakadai, Kazuhiro; Barakova, Emilia. 2023, IEEE conference proceedings. Vitenskapelig antologi/Konferanseserie
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