TY - JOUR
T1 - The mediated moderation model of interactivity
AU - Bucy, Erik P.
AU - Tao, Chen-Chao
PY - 2007
Y1 - 2007
N2 - This paper argues for enhanced consideration of third variables in interactivity research and proposes a "mediated moderation" model to bring increased sophistication to bear on the study of information technology effects. Interactivity, a central phenomenon in new media research, is an elusive concept that has enduringly intrigued and confused scholars. Extant conceptualizations have produced incomplete causal models and have generally ignored the effect of third variables. We conceptualize interactivity as technological attributes of mediated environments that enable reciprocal communication or information exchange, which afford interaction between communication technology and users, or between users through technology. Specifying roles for mediator and moderator variables, this paper proposes a model that incorporates interactive attributes, user perceptions (mediators such as perceived interactivity), individual differences (moderators such as Internet self-efficacy), and media effects measures to systematically examine the definition, process, and consequences of interactivity on users. Lastly, statistical procedures for testing mediated moderation are described.
AB - This paper argues for enhanced consideration of third variables in interactivity research and proposes a "mediated moderation" model to bring increased sophistication to bear on the study of information technology effects. Interactivity, a central phenomenon in new media research, is an elusive concept that has enduringly intrigued and confused scholars. Extant conceptualizations have produced incomplete causal models and have generally ignored the effect of third variables. We conceptualize interactivity as technological attributes of mediated environments that enable reciprocal communication or information exchange, which afford interaction between communication technology and users, or between users through technology. Specifying roles for mediator and moderator variables, this paper proposes a model that incorporates interactive attributes, user perceptions (mediators such as perceived interactivity), individual differences (moderators such as Internet self-efficacy), and media effects measures to systematically examine the definition, process, and consequences of interactivity on users. Lastly, statistical procedures for testing mediated moderation are described.
UR - http://www.scopus.com/inward/record.url?scp=34547263520&partnerID=8YFLogxK
U2 - 10.1080/15213260701283269
DO - 10.1080/15213260701283269
M3 - Article
AN - SCOPUS:34547263520
SN - 1521-3269
VL - 9
SP - 647
EP - 672
JO - Media Psychology
JF - Media Psychology
IS - 3
ER -