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Anthropomorphic AI traits and roles in customer journeys: a systematic review and the interaction–activation–outcome framework

Md Al Amin et al.

Internet Research2026https://doi.org/10.1108/intr-01-2025-0116article
AJG 3ABDC A
Weight
0.50

Abstract

Purpose Although artificial intelligence (AI) has been studied in marketing for over two decades, the field still lacks an integrative framework that explains how anthropomorphic AI influences consumer perceptions and behaviors. This article presents a systematic review to identify key traits and roles of anthropomorphic AI and how they shape consumer responses and outcomes through the customer journey lens. Design/methodology/approach Using a systematic review methodology, this article analyzes 122 articles through thematic coding. The analysis identifies seven aggregate dimensions, focusing on anthropomorphic AI traits and roles, their associated consumer response mechanisms, and outcomes across diverse interaction contexts. Findings Our analysis reveals four key findings: (1) anthropomorphic AI exhibits distinct traits (social, thinking, emotional, autonomous, and responsible) and roles (functional and relational), which (2) activate consumer response mechanisms (cognitive, affective, and social); (3) influence consumer journey outcomes (behavioral, hedonic, utilitarian, and sustainable); and (4) are moderated by consumer journey conditions (individual differences, interaction contexts, and interaction structures). Originality/value This article introduces a novel, three-stage Interaction–Activation–Outcome framework that explains how interactions with anthropomorphic AI, when its traits and roles are aligned, activate consumer response mechanisms and journey outcomes, with effects being moderated by journey conditions. It also proposes a 2 × 2 matrix illustrating how the intersections between anthropomorphic AI traits (single vs. multiple) and roles (functional vs. relational) necessitate different strategic approaches, offering practical managerial insights. The article concludes by outlining future research directions, including examination of human–AI collaborative journeys, and AI applications in sustainable and base-of-the-pyramid markets.

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https://doi.org/https://doi.org/10.1108/intr-01-2025-0116

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@article{md2026,
  title        = {{Anthropomorphic AI traits and roles in customer journeys: a systematic review and the interaction–activation–outcome framework}},
  author       = {Md Al Amin et al.},
  journal      = {Internet Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/intr-01-2025-0116},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.