بررسی نقش "واقعیت افزوده" (AR) در غنی‌سازی تجربه خرید حضوری: فرصت‌ها، تهدیدها و منحنی یادگیری (یک رویکرد نوروپدیدارشناسانه)

Objective:

The contemporary retail landscape is undergoing a profound paradigm shift driven by the emergence of "Retail 5.0," an era defined by the seamless integration of cyber-physical systems, the Internet of Things (IoT), and advanced human-centric technologies. Within this evolving ecosystem, the convergence of physical and virtual realities under the framework of "Phygital Marketing" has fundamentally disrupted traditional models of customer interaction, redefining the architecture of organizational social capital and consumer trust. This study aims to conduct a deep, multi-layered investigation into the role of Augmented Reality (AR) technology in enriching the in-store shopping experience. Specifically, it seeks to analyze the nuanced impact of AR interventions on the cognitive and emotional dimensions of consumers, with a distinct focus on the Iranian cultural context. Given the unique sociocultural dynamics of Iran, where trust mechanisms, relational orientation, and social capital play pivotal roles in consumer decision-making, this research utilizes Digikala, the leading e-commerce platform in the region, as a critical case study. The primary objective is to bridge the significant gap between behavioral self-reports and neurophysiological responses, thereby offering a holistic, biopsychosocial understanding of how phygital technologies influence consumer trust, cognitive load, and emotional engagement. Furthermore, this research addresses a critical theoretical void in existing marketing literature regarding the neuro-cognitive mechanisms of phygital adoption in emerging markets, where digital infrastructure is rapidly evolving but consumer neuro-adaptation remains underexplored.



Methodology:

Adopting a robust mixed-methods research design with a qualitative dominance (QUAL + quan) approach, this study leverages a "neurophenomenological" framework. This methodological integration allows for the triangulation of subjective lived experiences with objective biological data, ensuring a comprehensive analysis of consumer behavior that transcends the inherent limitations and biases of self-reported surveys. The qualitative phase involved Interpretative Phenomenological Analysis (IPA) to explore the deep-seated perceptions, meanings, and emotional responses of consumers engaging with AR features. These insights were subsequently integrated with quantitative data collected via high-density Electroencephalography (EEG), capturing real-time neural activity from 15 participants during controlled, immersive shopping simulations. The experimental protocol included continuous EEG signal recording to monitor brain wave patterns, the "video-cued recall" technique to trigger and anchor specific memory traces during the analysis, and semi-structured in-depth interviews to contextualize the physiological data within the participants' personal narratives. Key neuro-marketing metrics were rigorously analyzed, including "Frontal Alpha Asymmetry" (FAA) as a robust proxy for approach-avoidance motivational tendencies and emotional valence, and the "Cognitive Load Index" (CLI) to assess the mental effort and attentional resources required to process phygital information. This multi-modal approach ensures that the findings are not only statistically significant but also phenomenologically valid, providing a granular, neural-level view of the correlates of phygital engagement.

Findings:

The empirical results reveal a complex, non-linear interplay between technological immersion and psychological response. Firstly, a precise alignment between physical product attributes and AR-enhanced information was found to induce a significant positive shift in FAA (mean difference = 0.25), indicating a stronger left-frontal activation associated with approach behavior, positive affect, and reward processing. This neurophysiological shift correlated directly with enhanced trust, thereby reinforcing the relational dimension of social capital within the phygital environment. Secondly, the study identified a phenomenon termed the "Paradox of Effortful Pleasure." Contrary to the conventional marketing assumption that ease of use is the sole driver of satisfaction, the data demonstrated that an optimal level of challenge within the AR experience led to a state of "flow," where consumers experienced heightened engagement, presence, and enjoyment despite the increased cognitive demand. This suggests that moderate cognitive friction can enhance perceived value and brand involvement. Finally, a critical finding emerged regarding the role of "Human Anchoring"—the integration of human cues, avatars, or agent-like interactions within the AR interface. This element played a vital role in reducing the Cognitive Load Index (CLI) and significantly enhancing emotional satisfaction (r=0.79). The presence of human-like elements acted as a powerful heuristic for reliability and empathy, mitigating the alienation and uncertainty often associated with pure digital interfaces. Additionally, the study found that individual differences, including gender and prior tech-savviness, influenced the CLI, with less experienced users showing higher sensitivity to UI complexity, suggesting the need for adaptive and personalized phygital experiences.

Conclusion:

The success of phygital marketing strategies is contingent upon achieving a delicate, dynamic balance between technological innovation and customer cognitive comfort. The proposed theoretical model, which demonstrated high explanatory power (R 2 >0.8), underscores the necessity of maintaining meaningful human interactions alongside advanced technologies. In the Iranian context, where social capital is deeply rooted in interpersonal trust and relational networks, the integration of human-like cues in digital interfaces is not merely a design preference but a strategic imperative for market acceptance. This study concludes that to bolster social capital and mitigate "data anxiety"—the stress associated with information overload and technological uncertainty in digital environments—organizations must adopt a human-centric approach to phygital design. By harmonizing the efficiency and personalization capabilities of AR with the empathy and reliability of human interaction, marketers can create more resilient, trustworthy, and emotionally resonant consumer experiences in the Retail 5.0 era. These findings offer actionable insights for digital strategists and brand managers in emerging markets, emphasizing that technology should serve as an enabler of human connection rather than a replacement for it. Future research should explore longitudinal effects of phygital exposure on brand loyalty, the role of cultural dimensions in shaping neural responses to AR technologies, and the scalability of neurophenomenological methods in larger consumer samples.