Anthropomorphic technology in everyday life: focus on chatbots and impacts on mental health.
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| Title: | Anthropomorphic technology in everyday life: focus on chatbots and impacts on mental health. |
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| Authors: | Monteith, Scott (AUTHOR), Glenn, Tasha (AUTHOR), Geddes, John R. (AUTHOR), Whybrow, Peter C. (AUTHOR), Achtyes, Eric (AUTHOR), Bauer, Michael (AUTHOR) |
| Source: | European Archives of Psychiatry & Clinical Neuroscience. Feb2026, Vol. 276 Issue 1, p391-397. 7p. |
| Subjects: | Chatbots, Mental health, Social media, Artificial intelligence, Electronic commerce, Human-computer interaction |
| Abstract: | Chatbots are widely used by business in everyday life to interact with consumers in e-commerce, social networking, education, and government settings. Anthropomorphism is a fundamental aspect of chatbot design and implementation, and increases the interaction of chatbots with humans. As part of the recent expansion of artificial intelligence (AI) technologies, chatbots incorporated AI to engage more personally with consumers. The anthropomorphic characteristics of chatbots, including both visual appearance and language, influence the interaction of chatbots with humans in diverse ways that may have both positive and negative consequences. The purpose of this review is to increase physician awareness of the use of chatbots which use AI to enhance anthropomorphism. Consumers routinely anthropomorphize products including chatbots. Physicians need to be aware of the wide-ranging and routine use of chatbots, and the importance of anthropomorphism in chatbot design and implementation. Physicians also need to recognize potential negative consequences of anthropomorphism of chatbots on mental health. [ABSTRACT FROM AUTHOR] |
| Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 191574281 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00406-025-02088-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 391 Subjects: – SubjectFull: Chatbots Type: general – SubjectFull: Mental health Type: general – SubjectFull: Social media Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Electronic commerce Type: general – SubjectFull: Human-computer interaction Type: general Titles: – TitleFull: Anthropomorphic technology in everyday life: focus on chatbots and impacts on mental health. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Monteith, Scott – PersonEntity: Name: NameFull: Glenn, Tasha – PersonEntity: Name: NameFull: Geddes, John R. – PersonEntity: Name: NameFull: Whybrow, Peter C. – PersonEntity: Name: NameFull: Achtyes, Eric – PersonEntity: Name: NameFull: Bauer, Michael IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09401334 Numbering: – Type: volume Value: 276 – Type: issue Value: 1 Titles: – TitleFull: European Archives of Psychiatry & Clinical Neuroscience Type: main |
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