Are lonely youngsters turning to chatbots for companionship? The relationship between chatbot usage and social connectedness in Danish high-school students

• 2.44 % of Danish high-school students engage in mutual participative conversations or seek emotional support from chatbots. • Students who engage in such interactions with chatbots are lonelier than their peers. • Students seem to be using chatbots to cope with negative feelings. Are lonely youngsters turning to chatbots to fill their social needs? The present research contributes to the ongoing scientific endeavors to understand the adoption of chatbots as social companions. Specifically, we examined how many Danish high-school students engage in friend-like conversations with chatbots, why they engage in such conversations, and whether this trend is associated with the sense of social connectedness (operationalized as loneliness and perceived social support). In pursuing this goal, a preregistered mixed-methods cross-sectional survey study was carried out. A total sample of 1599 students from 15 Danish high schools was collected. In total, 234 students (14.6 %) responded that they engaged in friend-like conversations with chatbots. Qualitative thematic analyses of free-text responses revealed two dominant ways of engaging with chatbots: utilitarian conversations ( n = 174) and social-supportive conversations ( n = 39). A major finding was that social-supportive chatbot users reported significantly more loneliness than non-chatbot users ( d = 0.53) and utilitarian chatbot users ( d = 0.52). Furthermore, social-supportive chatbot users also reported significantly less perceived social support than non-chatbot users ( d = −0.46). Analyses also showed significant associations between higher loneliness and less perceived social support and various situational triggers for initiating conversations with chatbots, including bad mood, a need for self-disclosure, and a sense of loneliness, but not with a sense of friendship to the chatbot as a trigger of chatbot interactions. These findings suggest a trend among some socially disconnected Danish high-school students toward using chatbots to cope with negative emotions.

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Publication Details

Journal
International Journal of Human-Computer Studies
Published
2024-11-28
DOI
https://doi.org/10.1016/j.ijhcs.2024.103409
Citations
37
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
12.85
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article

Are lonely youngsters turning to chatbots for companionship? The relationship between chatbot usage and social connectedness in Danish high-school students

Malene Flensborg Damholdt, Arthur Bran Herbener
37 citations
International Journal of Human-Computer Studies
AI in Service Interactions
12.85
article

Are lonely youngsters turning to chatbots for companionship? The relationship between chatbot usage and social connectedness in Danish high-school students

Malene Flensborg Damholdt, Arthur Bran Herbener
article en
37 citations

Abstract

• 2.44 % of Danish high-school students engage in mutual participative conversations or seek emotional support from chatbots. • Students who engage in such interactions with chatbots are lonelier than their peers. • Students seem to be using chatbots to cope with negative feelings. Are lonely youngsters turning to chatbots to fill their social needs? The present research contributes to the ongoing scientific endeavors to understand the adoption of chatbots as social companions. Specifically, we examined how many Danish high-school students engage in friend-like conversations with chatbots, why they engage in such conversations, and whether this trend is associated with the sense of social connectedness (operationalized as loneliness and perceived social support). In pursuing this goal, a preregistered mixed-methods cross-sectional survey study was carried out. A total sample of 1599 students from 15 Danish high schools was collected. In total, 234 students (14.6 %) responded that they engaged in friend-like conversations with chatbots. Qualitative thematic analyses of free-text responses revealed two dominant ways of engaging with chatbots: utilitarian conversations ( n = 174) and social-supportive conversations ( n = 39). A major finding was that social-supportive chatbot users reported significantly more loneliness than non-chatbot users ( d = 0.53) and utilitarian chatbot users ( d = 0.52). Furthermore, social-supportive chatbot users also reported significantly less perceived social support than non-chatbot users ( d = −0.46). Analyses also showed significant associations between higher loneliness and less perceived social support and various situational triggers for initiating conversations with chatbots, including bad mood, a need for self-disclosure, and a sense of loneliness, but not with a sense of friendship to the chatbot as a trigger of chatbot interactions. These findings suggest a trend among some socially disconnected Danish high-school students toward using chatbots to cope with negative emotions.

International Journal of Human-Computer StudiesVol. 196
Aarhus University (DK)
Reduced inequalities
Openalex Percentile: Top 1%
AI in Service Interactions
12.85
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