Medical Surgical Robot Models Design Based on Emotional Imagery

Bowen Sun*, Yidan Zhang, Saisai Li, Yuqi Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With emotion-centric design as the foundation, this study investigates the design of medical surgical robot models that better align with users' emotional needs. This paper comprehensively applies the three-tier theory of emotion-centric design and principal component analysis to analyze the emotional image impact factors of existing medical surgical robot product designs. It identifies the emotional factors affecting users and their corresponding design elements for the appearance of medical surgical robot products. Ultimately, this study identifies the key design elements in medical surgical robot products that influence user emotional preferences, develops design proposals, and conducts evaluations, providing a reference direction for future medical surgical robot design.

Original languageEnglish
Title of host publicationProceedings - 2023 International Conference on Computer, Internet of Things and Smart City, CIOTSC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages104-110
Number of pages7
ISBN (Electronic)9798350306569
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Computer, Internet of Things and Smart City, CIOTSC 2023 - Luoyang, China
Duration: 3 Nov 20235 Nov 2023

Publication series

NameProceedings - 2023 International Conference on Computer, Internet of Things and Smart City, CIOTSC 2023

Conference

Conference2023 International Conference on Computer, Internet of Things and Smart City, CIOTSC 2023
Country/TerritoryChina
CityLuoyang
Period3/11/235/11/23

Keywords

  • Emotion-Centered Design
  • Emotional Imagery
  • Influencing Factors
  • Medical Instruments

Fingerprint

Dive into the research topics of 'Medical Surgical Robot Models Design Based on Emotional Imagery'. Together they form a unique fingerprint.

Cite this