TRV-2026-0055Version 3 · Retracted
Reason for this version
Model backfill: source did not support a publishable AI-impact claim
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TRUVACE RECORD VERSION record: TRV-2026-0055 version: 3 kind: retracted reason: Model backfill: source did not support a publishable AI-impact claim timestamp: 2026-07-13T00:39:01.071156Z status: archived lens: g_space sector: health headline: Consumers and Artificial Intelligence: An Experiential Perspective dek: Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-activated virtual assistants. However, although AI can be seen as a neutral tool to be evaluated on efficiency and accuracy, this approach does not consider the social and individual challenges that can occur when AI is deployed. This research aims to bridge these two perspectiv… gain_title: Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-activated virtual assistants. problem_title: (none) trace_subject: (none) gain_reading: Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-activated virtual assistants. problem_reading: (none) quick_read: Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-activated virtual assistants. However, although AI can be seen as a neutral tool to be evaluated on efficiency and accuracy, this approach does not consider the social and individual challenges that can occur when AI is deployed. This research aims to bridge these two perspectives: on one side, the authors acknowledge the value that embedding AI technology into products and services can provide to consumers. On the other side, the authors build on and integrate sociological and psychological scholarship to examine some of the costs consumers experience in their interactions with AI. limitation: Historical research candidate. An editor must verify study design, population, effect size, and whether later evidence changes the reading before publication. tag: Evidence-backed gain key_points: However, although AI can be seen as a neutral tool to be evaluated on efficiency and accuracy, this approach does not consider the social and individual challenges that can occur when AI is deployed. | This research aims to bridge these two perspectives: on one side, the authors acknowledge the value that embedding AI technology into products and services can provide to consumers. | On the other side, the authors build on and integrate sociological and psychological scholarship to examine some of the costs consumers experience in their interactions with AI. rundown: Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-activated virtual assistants. However, although AI can be seen as a neutral tool to be evaluated on efficiency and accuracy, this approach does not consider the social and individual challenges that can occur when AI is deployed. This research aims to bridge these two perspectives: on one side, the authors acknowledge the value that embedding AI technology into products and services can provide to consumers. On the other side, the authors build on and integrate sociological and psychological scholarship to examine some of the costs consumers experience in their interactions with AI. sources: - peer_reviewed | Journal of Marketing | https://doi.org/10.1177/0022242920953847 | 2020-10-16 prev: a2de507a64a0ac6f61c1f6d000d614227d17c0ec99a9621f5b2538b69c05293a
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- a2de507a64a0ac6f61c1f6d000d614227d17c0ec99a9621f5b2538b69c05293a
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