AI Companions Reduce Loneliness.
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| Title: | AI Companions Reduce Loneliness. |
|---|---|
| Authors: | Freitas, Julian De (AUTHOR), Oğuz-Uğuralp, Zeliha (AUTHOR), Uğuralp, Ahmet Kaan (AUTHOR), Puntoni, Stefano (AUTHOR) |
| Source: | Journal of Consumer Research. Apr2026, Vol. 52 Issue 6, p1126-1148. 23p. |
| Subject Terms: | *Chatbots, *Loneliness, *Artificial intelligence, *Human-computer interaction, *Interpersonal relations, *Self-disclosure |
| Abstract: | Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications (apps) are effective at alleviating loneliness. We address this question by focusing on "artificial intelligence (AI) companions": apps designed to provide consumers with synthetic interaction partners. Study 1 examines user reviews of AI companion apps and finds correlational evidence suggesting that these apps help alleviate loneliness. Study 2 finds that AI companions successfully alleviate loneliness on par only with interacting with another person and more than other activities such as watching YouTube videos. Moreover, consumers underestimate the degree to which AI companions improve their loneliness. Study 3 uses a longitudinal design and finds that an AI companion consistently provides momentary reductions in loneliness after use over the course of a week. Study 4 provides evidence that both the chatbots' performance and, especially, whether it makes users feel heard, explain reductions in loneliness. Study 5 provides an additional robustness check for the loneliness-alleviating benefits of AI companions and shows that self-disclosure and distraction alone do not explain AI companions' effectiveness. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 192754207 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AI Companions Reduce Loneliness. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Freitas%2C+Julian+De%22">Freitas, Julian De</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Oğuz-Uğuralp%2C+Zeliha%22">Oğuz-Uğuralp, Zeliha</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Uğuralp%2C+Ahmet+Kaan%22">Uğuralp, Ahmet Kaan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Puntoni%2C+Stefano%22">Puntoni, Stefano</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Consumer+Research%22">Journal of Consumer Research</searchLink>. Apr2026, Vol. 52 Issue 6, p1126-1148. 23p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink><br />*<searchLink fieldCode="DE" term="%22Loneliness%22">Loneliness</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink><br />*<searchLink fieldCode="DE" term="%22Interpersonal+relations%22">Interpersonal relations</searchLink><br />*<searchLink fieldCode="DE" term="%22Self-disclosure%22">Self-disclosure</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications (apps) are effective at alleviating loneliness. We address this question by focusing on "artificial intelligence (AI) companions": apps designed to provide consumers with synthetic interaction partners. Study 1 examines user reviews of AI companion apps and finds correlational evidence suggesting that these apps help alleviate loneliness. Study 2 finds that AI companions successfully alleviate loneliness on par only with interacting with another person and more than other activities such as watching YouTube videos. Moreover, consumers underestimate the degree to which AI companions improve their loneliness. Study 3 uses a longitudinal design and finds that an AI companion consistently provides momentary reductions in loneliness after use over the course of a week. Study 4 provides evidence that both the chatbots' performance and, especially, whether it makes users feel heard, explain reductions in loneliness. Study 5 provides an additional robustness check for the loneliness-alleviating benefits of AI companions and shows that self-disclosure and distraction alone do not explain AI companions' effectiveness. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=192754207 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/jcr/ucaf040 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 1126 Subjects: – SubjectFull: Chatbots Type: general – SubjectFull: Loneliness Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Human-computer interaction Type: general – SubjectFull: Interpersonal relations Type: general – SubjectFull: Self-disclosure Type: general Titles: – TitleFull: AI Companions Reduce Loneliness. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Freitas, Julian De – PersonEntity: Name: NameFull: Oğuz-Uğuralp, Zeliha – PersonEntity: Name: NameFull: Uğuralp, Ahmet Kaan – PersonEntity: Name: NameFull: Puntoni, Stefano IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00935301 Numbering: – Type: volume Value: 52 – Type: issue Value: 6 Titles: – TitleFull: Journal of Consumer Research Type: main |
| ResultId | 1 |