Beyond the Libet Clock: Modality Variants for Agency Measurements

TY - GEN

T1 - Beyond the Libet Clock

T2 - 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018

AU - Cornelio Martinez, Patricia I.

AU - Maggioni, Emanuela

AU - Hornbæk, Kasper

AU - Obrist, Marianna

AU - Subramanian, Sriram

PY - 2018/4/20

Y1 - 2018/4/20

N2 - The Sense of Agency (SoA) refers to our capability to control our own actions and influence the world around us. Recent research in HCI has been exploring SoA to provide users an instinctive sense of "I did that" as opposed to "the system did that". However, current agency measurements are limited. The Intentional Binding (IB) paradigm provides an implicit measure of the SoA. However, it is constrained by requiring high visual attention to a "Libet clock" onscreen. In this paper, we extend the timing stimulus through auditory and tactile cues. Our results demonstrate that audio timing through voice commands and haptic timing through tactile cues on the hand are alternative techniques to measure the SoA using the IB paradigm. They both address limitations of the traditional method (e.g., lack of engagement and visual demand). We discuss how our results can be applied to measure SoA in tasks involving different interactive scenarios common in HCI.

AB - The Sense of Agency (SoA) refers to our capability to control our own actions and influence the world around us. Recent research in HCI has been exploring SoA to provide users an instinctive sense of "I did that" as opposed to "the system did that". However, current agency measurements are limited. The Intentional Binding (IB) paradigm provides an implicit measure of the SoA. However, it is constrained by requiring high visual attention to a "Libet clock" onscreen. In this paper, we extend the timing stimulus through auditory and tactile cues. Our results demonstrate that audio timing through voice commands and haptic timing through tactile cues on the hand are alternative techniques to measure the SoA using the IB paradigm. They both address limitations of the traditional method (e.g., lack of engagement and visual demand). We discuss how our results can be applied to measure SoA in tasks involving different interactive scenarios common in HCI.

U2 - 10.1145/3173574.3174115

DO - 10.1145/3173574.3174115

M3 - Article in proceedings

SN - 978-1-4503-5620-6

SP - 1

EP - 14

BT - CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

Y2 - 21 April 2018 through 26 April 2018

ER -