TY - GEN
T1 - A questionnaire for the evaluation of physical assistive devices (quead)
T2 - 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
AU - Schmidtler, Jonas
AU - Bengler, Klaus
AU - Dimeas, Fotios
AU - Campeau-Lecours, Alexandre
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/27
Y1 - 2017/11/27
N2 - Many novel physical assistance devices are beginning to incorporate intelligent robotic systems and mechatronic components. In terms of a human-centered design it is crucial to assess the perceived subjective usability and acceptance of these systems. A questionnaire was thus designed to evaluate novel physically assisting devices in order to support developers in their design decisions as well as users during individualizing of their assistive devices. Two studies (n1 = 9, n2 = 21), using two different devices, were conducted to analyze objectivity, reliability, and validity. The results show an overall high internal consistency (Cronbach's α > 0.8), which indicates reliability and applicability of the QUEAD. Criterion validity was tested applying correlations with established objective measures for efficiency (time to task completion), effectivity (errors and collisions), and commitment (mean force). Construct validity was applied using a proposed model and correlations to verify convergence. The results show that the QUEAD is able to assess perceived usability and acceptance.
AB - Many novel physical assistance devices are beginning to incorporate intelligent robotic systems and mechatronic components. In terms of a human-centered design it is crucial to assess the perceived subjective usability and acceptance of these systems. A questionnaire was thus designed to evaluate novel physically assisting devices in order to support developers in their design decisions as well as users during individualizing of their assistive devices. Two studies (n1 = 9, n2 = 21), using two different devices, were conducted to analyze objectivity, reliability, and validity. The results show an overall high internal consistency (Cronbach's α > 0.8), which indicates reliability and applicability of the QUEAD. Criterion validity was tested applying correlations with established objective measures for efficiency (time to task completion), effectivity (errors and collisions), and commitment (mean force). Construct validity was applied using a proposed model and correlations to verify convergence. The results show that the QUEAD is able to assess perceived usability and acceptance.
KW - Acceptance
KW - Human Factors
KW - Human-Robot Collaboration
KW - Physical Human-Robot Interaction
KW - Questionnaire
KW - Usability
UR - http://www.scopus.com/inward/record.url?scp=85044113503&partnerID=8YFLogxK
U2 - 10.1109/SMC.2017.8122720
DO - 10.1109/SMC.2017.8122720
M3 - Conference contribution
AN - SCOPUS:85044113503
T3 - 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
SP - 876
EP - 881
BT - 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 October 2017 through 8 October 2017
ER -