Your browser doesn't support javascript.
loading
Connecting the Dots of Social Robot Design From Interviews With Robot Creators.
Alves-Oliveira, Patrícia; Orr, Alaina; Björling, Elin A; Cakmak, Maya.
Afiliação
  • Alves-Oliveira P; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States.
  • Orr A; Department of Human-Centered Design and Engineering, University of Washington, Seattle, WA, United States.
  • Björling EA; Department of Human-Centered Design and Engineering, University of Washington, Seattle, WA, United States.
  • Cakmak M; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States.
Front Robot AI ; 9: 720799, 2022.
Article em En | MEDLINE | ID: mdl-35719208
Despite promises about the near-term potential of social robots to share our daily lives, they remain unable to form autonomous, lasting, and engaging relationships with humans. Many companies are deploying social robots into the consumer and commercial market; however, both the companies and their products are relatively short lived for many reasons. For example, current social robots succeed in interacting with humans only within controlled environments, such as research labs, and for short time periods since longer interactions tend to provoke user disengagement. We interviewed 13 roboticists from robot manufacturing companies and research labs to delve deeper into the design process for social robots and unearth the many challenges robot creators face. Our research questions were: 1) What are the different design processes for creating social robots? 2) How are users involved in the design of social robots? 3) How are teams of robot creators constituted? Our qualitative investigation showed that varied design practices are applied when creating social robots but no consensus exists about an optimal or standard one. Results revealed that users have different degrees of involvement in the robot creation process, from no involvement to being a central part of robot development. Results also uncovered the need for multidisciplinary and international teams to work together to create robots. Drawing upon these insights, we identified implications for the field of Human-Robot Interaction that can shape the creation of best practices for social robot design.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Qualitative_research Idioma: En Revista: Front Robot AI Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Qualitative_research Idioma: En Revista: Front Robot AI Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos