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author:

Jiang, Qiaolei (Jiang, Qiaolei.) [1] | Zhang, Yadi (Zhang, Yadi.) [2] | Pian, Wenjing (Pian, Wenjing.) [3] (Scholars:骈文景)

Indexed by:

SSCI EI Scopus SCIE

Abstract:

As a global health crisis, the COVID-19 pandemic has also made heavy mental and emotional tolls become shared experiences of global communities, especially among females who were affected more by the pandemic than males for anxiety and depression. By connecting multiple facets of empathy as key mechanisms of information processing with the communication theory of resil-ience, the present study examines human-AI interactions during the COVID-19 pandemic in order to understand digitally mediated empathy and how the intertwining of empathic and commu-nicative processes of resilience works as coping strategies for COVID-19 disruption. Mixed methods were adopted to explore the using experiences and effects of Replika, a chatbot com-panion powered by AI, with ethnographic research, in-depth interviews, and grounded theory -based analysis. Findings of this research extend empathy theories from interpersonal communi-cation to human-AI interactions and show five types of digitally mediated empathy among Chi-nese female Replika users with varying degrees of cognitive empathy, affective empathy, and empathic response involved in the information processing processes, i.e., companion buddy, responsive diary, emotion-handling program, electronic pet, and tool for venting. When pro-cessing information obtained from AI and collaborative interactions with the AI chatbot, multiple facets of mediated empathy become unexpected pathways to resilience and enhance users' well-being. This study fills the research gap by exploring empathy and resilience processes in human -AI interactions. Practical implications, especially for increasing individuals' psychological resil-ience as an important component of global recovery from the pandemic, suggestions for future chatbot design, and future research directions are also discussed.

Keyword:

COVID-19 pandemic Empathy Human-AI interaction Information processing Resilience Well-being

Community:

  • [ 1 ] [Jiang, Qiaolei]Tsinghua Univ, Sch Journalism & Commun, Beijing 100084, Peoples R China
  • [ 2 ] [Zhang, Yadi]Tsinghua Univ, Sch Journalism & Commun, Beijing 100084, Peoples R China
  • [ 3 ] [Pian, Wenjing]Fuzhou Univ, Sch Econ & Management, Xueyuan Rd, Qishan Campus, Fuzhou 350116, Peoples R China
  • [ 4 ] [Pian, Wenjing]Wuhan Univ, Ctr Studies Informat Resources, 299 Bayi Rd, Wuhan 430072, Peoples R China

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Source :

INFORMATION PROCESSING & MANAGEMENT

ISSN: 0306-4573

Year: 2022

Issue: 6

Volume: 59

8 . 6

JCR@2022

7 . 4 0 0

JCR@2023

ESI Discipline: SOCIAL SCIENCES, GENERAL;

ESI HC Threshold:36

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 23

SCOPUS Cited Count: 34

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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