Introduction: About myself

Week 5: Augmented Reality: The Blurring of Reality in human-computer Interaction

Edited by Dominik Mahr, Ko De Ruyter, & Jonas Heller (April 2023). Computers in Human Behavior.

Article One: Augmented Reality and Human-Computer Interaction: A Transformative Shift in Digital Engagement

The rapid evolution of Augmented Reality (AR) is reshaping human-computer interaction by blurring the boundaries between the physical and digital worlds. This special issue, as highlighted in Computers in Human Behavior (2023), presents a comprehensive examination of AR’s growing influence across industries, from education and business to entertainment and healthcare. The research underscores the positive impacts of AR—such as enhanced user experiences, innovative learning environments, and immersive storytelling—and its potential challenges, including privacy, ethical concerns, and user adaptation.

One of the most intriguing aspects of this special issue is its exploration of how AR fosters engagement. Studies on consumer interactions with AR-powered applications (e.g., virtual try-on apps for cosmetics) demonstrate how digital overlays can enhance decision-making, reduce cognitive load, and improve user satisfaction. This aligns with the Technology Acceptance Model (TAM), suggesting that AR adoption hinges on perceived ease of use, usefulness, and trust. Similarly, educational applications of AR—like vocational training, programming education, and medical simulations—highlight its ability to enhance skill acquisition by bridging imagination gaps.

However, the research also acknowledges the ethical and societal concerns surrounding AR. As digital environments become more immersive, questions arise regarding data privacy, psychological well-being, and digital dependency. Future research, as suggested in the article, should focus on the intersection of AR with artificial intelligence (AI), extended reality (XR), and virtual reality (VR) to understand how these technologies collectively shape human behavior, social interactions, and decision-making processes.

As AR evolves, one critical question emerges: How can we design AR experiences that balance immersive engagement with ethical responsibility and long-term user well-being? This remains an essential area for exploration as we move toward an increasingly augmented future. 

Article Two: Augmented Reality and Consumer Decision-Making: A Tool for Reducing Cognitive Dissonance

The research by Barta, Gurrea, and Flavián (2023) sheds light on how Augmented Reality (AR) can significantly enhance consumer decision-making by reducing cognitive dissonance and increasing purchase intention. One of the key challenges of online shopping is the inability to physically test products, which often leads to uncertainty and hesitation. AR technology bridges this gap by allowing users to visualize products in real-world contexts—such as trying on cosmetics or previewing furniture in their homes—ultimately making online shopping more intuitive and reliable.

A major takeaway from this study is how AR minimizes confusion caused by over-choice. When consumers are presented with an overwhelming number of similar options, decision fatigue sets in, often leading to dissatisfaction or abandonment of the purchase process. The findings suggest that AR helps consumers differentiate between options, thereby reducing their cognitive load and enhancing their confidence in making a choice. This aligns with the stimulus-organism-response (SOR) model, where AR serves as a stimulus that alters the consumer’s psychological state (organism) and influences behavior (response)—in this case, increasing purchase intention and willingness to pay.

Moreover, the study highlights AR's potential as a business strategy. By integrating Web AR into e-commerce platforms, retailers can not only increase sales volume but also justify higher price points, as consumers perceive greater value in products they can interact with virtually. However, while AR reduces prepurchase cognitive dissonance, it is essential to explore whether over-reliance on AR may also create unrealistic expectations, leading to post-purchase dissatisfaction.

This study prompts an important question: Can AR’s effectiveness in reducing cognitive dissonance extend beyond e-commerce to other decision-making contexts, such as education, healthcare, or job recruitment? As AR continues to evolve, its applications in cognitive processing and user experience design will be an exciting area for future research.

Article Three: Enhancing Programming Learning through Augmented Reality: A High-Interactive Approach

The study by Kao and Ruan (2022) explores the potential of Augmented Reality (AR) in programming education, emphasizing how high interactivity enhances student learning. Given that programming is a fundamental skill in STEM education, it often presents challenges due to its abstract nature. Traditional teaching methods, relying on textbooks and static exercises, fail to engage students fully. This research presents a compelling case for using AR-based learning systems to make programming more tangible and interactive, thereby improving student motivation, cognitive load management, and learning outcomes.

A key innovation in this study is the use of puzzle cards within a highly interactive AR mode. Unlike conventional low interactive AR, where students passively observe animations, the high interactive approach allows learners to assemble puzzle pieces, scanning them with a device to visualize real-time programming outcomes. The findings reveal that this hands-on interaction significantly enhances understanding of programming logic, fosters higher motivation, and reduces cognitive overload—a common issue for novice programmers.

Moreover, AR alone does not inherently boost motivation—rather, it is the design of interaction within the AR environment that matters. The study underscores the importance of active engagement in learning, aligning with constructivist principles, which suggest that learners construct knowledge more effectively when actively involved in problem-solving.

This research raises important questions: How can AR-based programming instruction be scaled to higher education or professional training? Could adaptive AI-driven AR environments further personalize the learning experience? As AR technology continues to evolve, its role in bridging abstract programming concepts with interactive, real-world applications will likely expand, making learning more immersive and effective.

References

Barta, S., Gurrea, R., & Flavián, C. (2023). Using augmented reality to reduce cognitive dissonance and increase purchase intention. Computers in Human Behavior, 140, 107564. https://doi.org/10.1016/j.chb.2022.107564

Heller, J., Mahr, D., de Ruyter, K., Schaap, E., Hilken, T., Keeling, D. I., Chylinski, M., Flavián, C., Jung, T., & Rauschnabel, P. A. (2023). Augmented reality: The blurring of reality in human-computer interaction. Computers in Human Behavior, 145, 107755. https://doi.org/10.1016/j.chb.2023.107755

Kao, G. Y.-M., & Ruan, C.-A. (2022). Designing and evaluating a highly interactive augmented reality system for programming learning. Computers in Human Behavior, 132, 107245. https://doi.org/10.1016/j.chb.2022.107245