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YOU LOOK LIKE ME, AND I LIKE YOU: AN EMPIRICAL STUDY ON THE INFLUENCE OF DOCTOR-PATIENT PERSONALITY SIMILARITY ON PATIENT SELECTION
Research on online doctor-patient interaction is vast but has rarely examined its internal factors from a psychological point of view. Drawing on interpersonal attraction theory, this study explores whether potential personality traits of doctors and patients strengthen or weaken the behavior of patient selection and the contingent roles of patient psychological stress and doctor's title in online doctor-patient interaction. We leverage text mining in combination with econometrics techniques and studying the online doctor-patient interaction text data from a total of 245,027 consultations with 961 doctors in a large online health community in China, and we found that doctor-patient personality similarity plays a primary role in inducing patients selection behavior. Particularly, similarities in the openness, conscientiousness, and agreeableness dimensions of personality attract more patient selection, in contrast to similarities in the extroversion and neuroticism dimensions. In addition, patient psychological stress and the doctor's title both strengthen the link between doctor-patient personality similarity and patient selection. Grounded in the perspective of social psychology, this study reveals the mechanism and influence of personality traits on doctors' online services provided to patients, and it implies that doctors and patients with high personality similarities could be productively matched to facilitate high-quality service delivery.
Journal Article
A science of falling in love?
Poets, historians and philosophers have, for centuries, provided answers to age-old questions like: Why do we fall in love? What makes us fall in love? And what happens to love once the first fiery spike of attraction fades? But more-recently scientists have joined the debate to explore \"the brain in love\" and this short film features contributions from Oxford University academic Dr. Anna Machin and Laura Mucha, acclaimed author of Love, Factually, as we follow a young couple as they fall into - and out of - love. Along the way students are introduced to a range of neuroscientific evidence that can be used to illustrate and explain the addiction, obsession and madness of the condition we call love - and also how and why it frequently evolves into various forms of long-term attachment.
Streaming Video
How do interpersonal interaction factors affect buyers' purchase intention in live stream shopping? The mediating effects of swift guanxi
PurposeThe purpose of this paper is to investigate the impact of buyer-seller interpersonal interactions on the purchase intention of buyers, incorporating swift guanxi as a mediator.Design/methodology/approachBased on survey data obtained from 336 Taobao Live users, PLS techniques were used to test hypotheses.FindingsSwift guanxi exists in buyer-seller interactions and matters, as it drives buyers' purchase intention in live stream shopping. Perceived expertise, perceived similarity and perceived likeability are found to be the three essential interpersonal interaction factors promoting the formation of swift guanxi. Perceived familiarity is also found to be significant but to a lesser extent. In addition, all these interpersonal interaction factors are found to significantly affect purchase intention through the mediation of swift guanxi.Originality/valueSwift guanxi has been less explored in live stream shopping. This study takes the lead in empirically examining the mediating role of swift guanxi in the relationship between interpersonal interaction factors and purchase intention and offers a description of key buyer-seller interpersonal interaction factors (perceived expertise, perceived similarity and perceived likeability), thereby helping to extend the swift guanxi literature in social commerce.
Journal Article
How anthropomorphism affects trust in intelligent personal assistants
PurposeWith the continuous improvement of artificial intelligence (AI) technology, intelligent personal assistants (IPAs) based on AI have seen unprecedented growth. The present study investigates the effect of anthropomorphism on cognitive and emotional trust and the role of interpersonal attraction in the relationship between anthropomorphism and trust.Design/methodology/approachA structural equation modeling technique with a sample of 263 consumers was used to analyze the data and test the conceptual model.FindingsThe findings illustrate that the anthropomorphism of IPAs did not directly induce trust. Anthropomorphism led users to assign greater social attraction and task attraction to IPAs, which in turn reinforced cognitive or emotional trust in these assistants. Compared with task attraction, social attraction was more powerful in strengthening both cognitive trust and emotional trust. The present study broadens the current knowledge about interpersonal attraction and its role in AI usage by examining two types of interpersonal attraction of IPAs.Originality/valueAs trust plays an important role in the rapid development of human–computer interaction, it is imperative to understand how consumers perceive these intelligent agents and build or improve trust. Prior studies focused on the impact of anthropomorphism on overall trust in AI, and its underlying mechanism was underexplored. The findings can help marketers and designers better understand how to enhance users' trust in their anthropomorphic products, especially by increasing social interactive elements or promoting communication.
Journal Article
We came first : relationship advice from women who have been there
\"History's most fabulous, revered, and sassy women provide wise counsel about modern life's romantic complexities, from feminist conundrums to how not to give a f*ck. In her ... book, ... author Jennifer Wright imagines how history's most powerful women would approach current-day dating anxieties, with agony-aunt-style questions, quirky illustrations, and more\"--Publisher's market.
Book
A comparison between chatbot and human service: customer perception and reuse intention
PurposeChatbot users’ communication experience with disembodied conversational agents was compared with instant messaging (IM) users’ communication experience with human conversational agents. The purpose of this paper is to identify what affects users’ intention to reuse and whether they perceive any difference between the two.
Design/methodology/approachA conceptual model was developed based on computer-mediated communication (CMC) and interpersonal communication theories. Data were collected online from four different continents (North America, Europe, Asia and Australia). Partial least squares structural equation modeling was applied to examine the research model.
FindingsThe findings mainly reveal that media richness and social presence positively influence trust and reuse intention through task attraction and social attraction; IM users reported significantly higher scores in terms of communication experience, perceived attractiveness of the conversational agent, and trust than chatbot users; users’ trust in the conversational agents is mainly determined by perceived task attraction.
Research limitations/implicationsCustomers’ evaluation of the communication environment is positively related to their perceived competence of the conversational agent which ultimately affect their intention to reuse chatbot/IM. The findings reveal determinants of chatbot/IM adoption which have rarely been mentioned by previous work.
Practical implicationsPractitioners should note that consumers in general still prefer to interact with human conversational agents. Practitioners should contemplate how to combine chatbot and human resources effectively to deliver the best customer service.
Originality/valueThis study goes beyond the Computer as Social Actor paradigm and Technology Acceptance Model to understand chatbot and IM adoption. It is among one of the first studies that compare chatbot and IM use experience in the tourism and hospitality literature.
Journal Article