TY - JOUR
T1 - An interdisciplinary Co-authorship networking perspective on AR and human behavior
T2 - Taking stock and moving ahead
AU - Heller, Jonas
AU - Mahr, Dominik
AU - de Ruyter, Ko
AU - Schaap, Eric
AU - Hilken, Tim
AU - Keeling, Debbie I.
AU - Chylinski, Mathew
AU - Flavián, Carlos
AU - Jung, Timothy
AU - Rauschnabel, Philipp A.
N1 - Publisher Copyright:
© 2023 The Authors
PY - 2023/6
Y1 - 2023/6
N2 - The field of augmented reality (AR) and human behavior emerged when Azuma et al. (2001) refined the term augmented reality in 2001. Research on the topic has grown steadily in the past decade, yet there is a notable lack of consensus on humans' motivations and outcomes in interacting with AR. The present research takes a bibliographic approach to shed light on current research on AR in human-computer interaction and, using topic modeling, to identify and classify the topics that have drawn researchers’ interest. The results reveal three major topics of interest to researchers, namely “Education, Learning & Training Research”, “Marketing, Consumer Behavior & Business Research”, and “Digital Tourism & Cultural Heritage Research”. Drawing upon co-authorship theory, we identify prominent AR expert co-authorship networks that work on similar topics, yet also highlight that AR research is concentrated in a few research groups that publish articles with similar groups of authors and little outside their own networks. Together with AR experts from the four largest co-authorship networks, we highlight the common challenges that emerge in AR research, suggest solutions, and jointly propose a research agenda for AR and human behavior research.
AB - The field of augmented reality (AR) and human behavior emerged when Azuma et al. (2001) refined the term augmented reality in 2001. Research on the topic has grown steadily in the past decade, yet there is a notable lack of consensus on humans' motivations and outcomes in interacting with AR. The present research takes a bibliographic approach to shed light on current research on AR in human-computer interaction and, using topic modeling, to identify and classify the topics that have drawn researchers’ interest. The results reveal three major topics of interest to researchers, namely “Education, Learning & Training Research”, “Marketing, Consumer Behavior & Business Research”, and “Digital Tourism & Cultural Heritage Research”. Drawing upon co-authorship theory, we identify prominent AR expert co-authorship networks that work on similar topics, yet also highlight that AR research is concentrated in a few research groups that publish articles with similar groups of authors and little outside their own networks. Together with AR experts from the four largest co-authorship networks, we highlight the common challenges that emerge in AR research, suggest solutions, and jointly propose a research agenda for AR and human behavior research.
KW - 113 Computer and information sciences
KW - 515 Psychology
KW - Augmented reality
KW - Co-authorship networks
KW - Topic modeling
UR - http://www.scopus.com/inward/record.url?scp=85148109512&partnerID=8YFLogxK
U2 - 10.1016/j.chb.2023.107697
DO - 10.1016/j.chb.2023.107697
M3 - Article
AN - SCOPUS:85148109512
SN - 0747-5632
VL - 143
JO - Computers in Human Behavior
JF - Computers in Human Behavior
M1 - 107697
ER -