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TRUVACE RECORD VERSION
record: TRV-2026-2560
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T07:54:22.621627Z
status: published
lens: trace
sector: business
headline: When AI Remembers: Investigating the Dual Role of Long‐Term Memory in Chatbots
dek: ABSTRACT This research investigates the dual role of long‐term memory (LTM) in AI chatbots and its impact on customer outcomes. Drawing on Mind Perception Theory and Privacy Calculus Theory, we conceptualize LTM as a continuity‐based design capability that may be interpreted as a functional service feature, a privacy‐relevant cue, or a basis for anthropomorphic inference. Across three controlled scenario‐based online experiments in e‐commerce customer service, we manipulated the presence of LTM and, in Study 3,…
gain_title: In three online experiments in e-commerce customer service, chatbots with long-term memory significantly increased customer satisfaction and continuance intention, mainly by making the bot seem more competent.
problem_title: In the same experiments, the benefits of chatbot memory were partially offset by perceived anthropomorphism and privacy concerns, and baseline perceived privacy empowerment did not reduce those concerns.
trace_subject: Long-term memory in e-commerce customer service chatbots
gain_reading: In three online experiments in e-commerce customer service, chatbots with long-term memory significantly increased customer satisfaction and continuance intention, mainly by making the bot seem more competent.
gain_evidence: LTM significantly increased satisfaction and continuance intention
problem_reading: In the same experiments, the benefits of chatbot memory were partially offset by perceived anthropomorphism and privacy concerns, and baseline perceived privacy empowerment did not reduce those concerns.
problem_evidence: these benefits were partially offset by perceived anthropomorphism and privacy concerns | baseline perception of privacy empowerment was insufficient to mitigate privacy concerns associated with LTM
quick_read: A peer-reviewed paper in Psychology & Marketing reports three controlled, scenario-based online experiments in e-commerce customer service. Researchers varied whether an AI chatbot had long-term memory and found that memory significantly increased satisfaction and continuance intention.

The effect on word-of-mouth intention ran mainly through other factors rather than directly. Memory made the chatbot seem more competent, but the gain was partly cancelled by customers perceiving the bot as human-like and by privacy concerns.

In the third experiment, giving users an explicit data-control mechanism within the memory-enabled condition raised perceived privacy empowerment, which lowered privacy concerns and improved outcomes. The authors say this offers guidance for designing memory-enabled chatbots with user controls.
limitation: The findings come from controlled, scenario-based online experiments in an e-commerce customer service setting, not from observed behavior with real deployed chatbots.
tag: Dual reading
key_points: The research used three controlled, scenario-based online experiments set in e-commerce customer service. | Researchers manipulated whether the chatbot had long-term memory; Study 3 also manipulated user data control. | Memory significantly increased satisfaction and continuance intention. | The effect on word-of-mouth intention was primarily indirect. | Memory improved outcomes by making the chatbot seem more competent. | Perceived anthropomorphism and privacy concerns partially offset those benefits. | In Study 2, baseline perceived privacy empowerment did not reduce privacy concerns tied to memory. | In Study 3, an explicit data-control mechanism increased perceived privacy empowerment, reduced privacy concerns and improved outcomes.
rundown: The study draws on Mind Perception Theory and Privacy Calculus Theory and treats long-term memory as a continuity-based design feature. Customers may read it as a useful service function, a privacy-relevant signal or a sign of human-like qualities.

Across the experiments, memory increased satisfaction and continuance intention. Its link to word-of-mouth intention was mostly indirect, running through competence, anthropomorphism and privacy concerns.

Study 2 found that customers' baseline sense of privacy empowerment was not enough to ease memory-related privacy concerns. Study 3 added an explicit user data-control option to the memory-enabled chatbot.

That control increased perceived privacy empowerment, which reduced privacy concerns and improved outcomes through a serial mediation path. The authors conclude that explicit data control can help manage privacy concerns in memory-enabled chatbots.
sources:
- peer_reviewed | Psychology & Marketing | https://doi.org/10.1002/mar.70267 | 2026-09-11
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