A longitudinal study of human–chatbot relationships. Issue 168 (December 2022)
- Record Type:
- Journal Article
- Title:
- A longitudinal study of human–chatbot relationships. Issue 168 (December 2022)
- Main Title:
- A longitudinal study of human–chatbot relationships
- Authors:
- Skjuve, Marita
Følstad, Asbjørn
Fostervold, Knut Inge
Brandtzaeg, Petter Bae - Abstract:
- Highlights: There seem to be a substantial variation and nuance the human-chatbot relationship formation process. Self-disclosure remains important for human-chatbot relationship formation. The chatbots ability to support deep-felt human needs, as well as providing variety in interactions seem to be drives pushing human-chatbot relationships forward. Unpredictable events and technical difficulties can have a negative impact on human-chatbot relationship or lead to termination. Abstract: Social chatbots have become more advanced, paving the way for human–chatbot relationships (HCRs). Although this phenomenon has already received some research attention, the results have been contradictory, and there is uncertainty regarding how to understand HCR formation. To provide the needed knowledge on this phenomenon, we conducted a qualitative longitudinal study. We interviewed 25 participants over a 12-week period to understand how their HCRs formed with the popular chatbot Replika. We found that the HCRs formed gradually and mostly in line with the assumptions of Social Penetration Theory. Our findings indicate the need to acknowledge substantial variation and nuance in the HCR formation process, plus variation in the onset of self-disclosure and in the subsequent relationship formation. The results show that important drivers pushing the relationship toward attachment and perceived closeness appear to be Replika's ability to participate in a variety of interactions, as well as toHighlights: There seem to be a substantial variation and nuance the human-chatbot relationship formation process. Self-disclosure remains important for human-chatbot relationship formation. The chatbots ability to support deep-felt human needs, as well as providing variety in interactions seem to be drives pushing human-chatbot relationships forward. Unpredictable events and technical difficulties can have a negative impact on human-chatbot relationship or lead to termination. Abstract: Social chatbots have become more advanced, paving the way for human–chatbot relationships (HCRs). Although this phenomenon has already received some research attention, the results have been contradictory, and there is uncertainty regarding how to understand HCR formation. To provide the needed knowledge on this phenomenon, we conducted a qualitative longitudinal study. We interviewed 25 participants over a 12-week period to understand how their HCRs formed with the popular chatbot Replika. We found that the HCRs formed gradually and mostly in line with the assumptions of Social Penetration Theory. Our findings indicate the need to acknowledge substantial variation and nuance in the HCR formation process, plus variation in the onset of self-disclosure and in the subsequent relationship formation. The results show that important drivers pushing the relationship toward attachment and perceived closeness appear to be Replika's ability to participate in a variety of interactions, as well as to support more deep-felt human needs related to social contact and self-reflection. In contrast, unpredictable events and technical difficulties could hinder relationship formation and lead to termination. Finally, we discuss the appropriateness of using a theoretical framework developed for human–human relationships when investigating HCRs, and we suggest directions for future research. … (more)
- Is Part Of:
- International journal of human-computer studies. Issue 168(2022)
- Journal:
- International journal of human-computer studies
- Issue:
- Issue 168(2022)
- Issue Display:
- Volume 168, Issue 168 (2022)
- Year:
- 2022
- Volume:
- 168
- Issue:
- 168
- Issue Sort Value:
- 2022-0168-0168-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12
- Subjects:
- Human–chatbot relationships -- Social chatbots -- Social penetration theory
Human-machine systems -- Periodicals
Systems engineering -- Periodicals
Human engineering -- Periodicals
Human engineering
Human-machine systems
Systems engineering
Periodicals
Electronic journals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10715819 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijhcs.2022.102903 ↗
- Languages:
- English
- ISSNs:
- 1071-5819
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.288100
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- 23339.xml