Abstract
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 coauthorship 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.
Original language | English |
---|---|
Article number | 107697 |
Number of pages | 12 |
Journal | Computers in Human Behavior |
Volume | 143 |
DOIs | |
Publication status | Published - 1 Jun 2023 |
Keywords
- Augmented reality
- Co-authorship networks
- Topic modeling
- AUGMENTED REALITY
- POKEMON GO
- FRAMEWORK
- IMPACT
- COLLABORATION
- TECHNOLOGIES
- BENEFITS
- ADOPTION
- SYSTEM