TY - GEN
T1 - Does Who Matter?: Studying the Impact of Relationship Characteristics on Receptivity to Mobile IM Messages
AU - Lee, Hao Ping
AU - Chen, Kuan Yin
AU - Lin, Chih Heng
AU - Chen, Chia-Yu
AU - Chung, Yu-Lin
AU - Chien-Ru Sun
AU - Chang, Yung-Ju
PY - 2019
Y1 - 2019
N2 - This study examines the characteristics of mobile instant-messaging users' relationships with their social contacts and the effects of both relationship and interruption context on four measures of receptivity: Attentiveness, Responsiveness, Interruptibility, and Opportuneness. Overall, interruption context overshadows relationship characteristics as predictors of all four of these facets of receptivity; this overshadowing was most acute for Interruptibility and Opportuneness, but existed for all factors. In addition, while Mobile Maintenance Expectation and Activity Engagement were negatively correlated with all receptivity measures, each such measure had its own set of predictors, highlighting the conceptual differences among the measures. Finally, delving more deeply into potential relationship effects, we found that a single, simple closeness question was as effective at predicting receptivity as the 12-item Unidimensional Relationship Closeness Scale.
AB - This study examines the characteristics of mobile instant-messaging users' relationships with their social contacts and the effects of both relationship and interruption context on four measures of receptivity: Attentiveness, Responsiveness, Interruptibility, and Opportuneness. Overall, interruption context overshadows relationship characteristics as predictors of all four of these facets of receptivity; this overshadowing was most acute for Interruptibility and Opportuneness, but existed for all factors. In addition, while Mobile Maintenance Expectation and Activity Engagement were negatively correlated with all receptivity measures, each such measure had its own set of predictors, highlighting the conceptual differences among the measures. Finally, delving more deeply into potential relationship effects, we found that a single, simple closeness question was as effective at predicting receptivity as the 12-item Unidimensional Relationship Closeness Scale.
U2 - 10.1145/3290605.3300756
DO - 10.1145/3290605.3300756
M3 - Conference contribution
VL - 526
BT - CHI '19 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Paper
ER -