TY - GEN
T1 - Designing Robots with the Context in Mind- One Design Does Not Fit All
AU - Liberman-Pincu, Ela
AU - van Grondelle, Elmer D.
AU - Oron-Gilad, Tal
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Robots’ visual qualities (VQs) impact people’s perception of their characteristics and affect users’ behaviors and attitudes toward the robot. Recent years point toward a growing need for Socially Assistive Robots (SARs) in various contexts and functions, interacting with various users. Since SAR types have functional differences, the user experience must vary by the context of use, functionality, user characteristics, and environmental conditions. Still, SAR manufacturers often design and deploy the same robotic embodiment for diverse contexts. We argue that the visual design of SARs requires a more scientific approach considering their multiple evolving roles in future society. In this work, we define four contextual layers: the domain in which the SAR exists, the physical environment, its intended users, and the robot’s role. Via an online questionnaire, we collected potential users’ expectations regarding the desired characteristics and visual qualities of four different SARs: a service robot for an assisted living/retirement residence facility, a medical assistant robot for a hospital environment, a COVID-19 officer robot, and a personal assistant robot for domestic use. Results indicated that users’ expectations differ regarding the robot’s desired characteristics and the anticipated visual qualities for each context and use case.
AB - Robots’ visual qualities (VQs) impact people’s perception of their characteristics and affect users’ behaviors and attitudes toward the robot. Recent years point toward a growing need for Socially Assistive Robots (SARs) in various contexts and functions, interacting with various users. Since SAR types have functional differences, the user experience must vary by the context of use, functionality, user characteristics, and environmental conditions. Still, SAR manufacturers often design and deploy the same robotic embodiment for diverse contexts. We argue that the visual design of SARs requires a more scientific approach considering their multiple evolving roles in future society. In this work, we define four contextual layers: the domain in which the SAR exists, the physical environment, its intended users, and the robot’s role. Via an online questionnaire, we collected potential users’ expectations regarding the desired characteristics and visual qualities of four different SARs: a service robot for an assisted living/retirement residence facility, a medical assistant robot for a hospital environment, a COVID-19 officer robot, and a personal assistant robot for domestic use. Results indicated that users’ expectations differ regarding the robot’s desired characteristics and the anticipated visual qualities for each context and use case.
KW - Context-driven design
KW - Socially assistive robot
KW - Visual qualities
UR - http://www.scopus.com/inward/record.url?scp=85148024833&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-22731-8_8
DO - 10.1007/978-3-031-22731-8_8
M3 - Conference contribution
AN - SCOPUS:85148024833
SN - 9783031227301
T3 - Springer Proceedings in Advanced Robotics
SP - 105
EP - 119
BT - Human-Friendly Robotics 2022 - HFR
A2 - Borja, Pablo
A2 - Della Santina, Cosimo
A2 - Peternel, Luka
A2 - Torta, Elena
PB - Springer Nature
T2 - 15th International Workshop on Human-Friendly Robotics, HFR 2022
Y2 - 22 September 2022 through 23 September 2022
ER -