Can anthropomorphism be used as a tool to increase the adoption intention of chatbots in various industries and applications?
Best insight from top research papers
Anthropomorphism can indeed be utilized as a tool to enhance the adoption intention of chatbots in different industries and applications. Research suggests that anthropomorphic design cues, such as human-like appearances and conversational styles, can increase users' perception, trust, and satisfaction with chatbots . Additionally, the perceived intelligence, ease of use, and usefulness of chatbots positively influence consumers' intentions to adopt them, with anthropomorphism playing a moderating role in these relationships . However, the effectiveness of anthropomorphism depends on factors like social anxiety, where users with high social phobia can experience enhanced effects of anthropomorphism on perceived warmth, especially in creative tasks . Despite its benefits, anthropomorphism may also lead to privacy concerns among users, affecting their attitudes towards chatbot advertisements and intention to disclose personal information .
Answers from top 5 papers
More filters
| Papers (5) | Insight |
|---|---|
| Not addressed in the paper. | |
| Anthropomorphism of chatbots can enhance user satisfaction through perceived warmth and competence, potentially increasing adoption intention in various industries and applications. | |
| Anthropomorphism moderates factors influencing consumers' adoption of AI-based chatbots in the retail industry, suggesting its potential role in increasing adoption intentions across various industries and applications. | |
1 Citations | Anthropomorphic design cues, such as appearance and conversational style, enhance users' perception and attention towards chatbots, potentially increasing adoption intention across diverse industries and applications. |
| Anthropomorphism can increase adoption intention of chatbots, as shown in mental health counseling. It enhances satisfaction and reuse intention through social rapport, especially for users with lower social anxiety. |
Related Questions
Can chatbot anthropomorphism be used as a tool to increase brand loyalty in various industries?4 answersChatbot anthropomorphism can indeed enhance brand loyalty across different industries. Research indicates that high levels of anthropomorphism in AI chatbots lead to more positive consumer attitudes, intentions to use the chatbot app, and acceptance of recommendations, especially in hedonic-centered businesses. Additionally, anthropomorphic appearances and human-like conversational styles increase users' perception of chatbots' social presence, trust, and satisfaction, attracting more visual attention. Moreover, anthropomorphism positively influences perceived product personalization and willingness to pay a higher price, particularly when moderated by situational loneliness. However, it is crucial to consider individual and task characteristics as boundary conditions for the impact of anthropomorphism on user satisfaction. Despite potential privacy concerns, leveraging anthropomorphism in chatbots can enhance user experiences and potentially foster brand loyalty across diverse industries.
How does anthropomorphism be used in cause communication?5 answersAnthropomorphism is used in cause communication to engage consumers and trigger consumer engagement on social media platforms such as Twitter. Anthropomorphized brand characters leverage different communication strategies on Twitter, including the use of socioemotional tweets and dialogic principles such as generation of return visits and conservation of visitors. These strategies have been found to effectively improve consumer engagement, leading to higher levels of retweets and replies. By attributing human characteristics to brands, anthropomorphism creates a sense of relatability and connection with consumers, increasing their willingness to engage with the brand and its cause. This form of communication allows organizations to initiate and maintain conversations with consumers, expanding the traditional model of word-of-mouth communication. Overall, anthropomorphism in cause communication on social media platforms serves as a powerful tool for brands to connect with consumers and promote their causes.
How does anthropomorphism affect the intention to use a social robot?5 answersAnthropomorphism has been found to have a positive effect on the intention to use a social robot. Lonely individuals tend to anthropomorphize social robots differently based on the appearance of the robot, with human-like robots being more anthropomorphized than animal-like robots by lonely individuals. Additionally, social connectedness has been found to increase robot anthropomorphism, which in turn predicts more favorable attitudes toward robots. Furthermore, children who anthropomorphize social storytelling robots to a higher degree have higher intentions of using the robot repeatedly. Finally, the personalities displayed by voice assistants, such as humanlike linguistic traits and positive behavior traits, influence perceived enjoyment, trust, attitude to use, and continued usage intention.
How does anthropomorphism affect the effectiveness of digital marketing campaigns?4 answersAnthropomorphism appeals in digital marketing campaigns have been found to enhance attitudes towards the brand and the advertisement, ultimately increasing purchase intentions. Additionally, anthropomorphic marketing practices have been observed in commercial and social activities, although the contribution of artificial intelligence (AI) to these practices is currently limited. Brand anthropomorphism in advertisements can be more effective for rejected consumers compared to ignored consumers, particularly when the brand is portrayed as warm rather than competent. The effect of brand anthropomorphism is also influenced by the product type, with rejected consumers preferring warm brands for high safety products and competent brands for less safe products. Furthermore, anthropomorphism in ads has been found to increase attention and positively impact brand recall and attitude towards the brand, with the effects being influenced by factors such as involvement level and product type.
How does anthropomorphism influence students perceptions of chatbots?5 answersAnthropomorphism significantly and positively affects perceived product personalization and willingness to pay a higher product price in conversational commerce contexts. The anthropomorphism of chatbots affects user satisfaction, and the key boundary conditions of individual characteristics and task characteristics shape user satisfaction. Chatbot anthropomorphism positively influences customers' perceived social presence in customer-chatbot interactions, which in turn positively influences customer-related outcomes. Users' perceptions of a chatbot's animacy and intelligence are mostly dependent on the textual properties of the dialogue, and perceptions of animacy fully mediate the effect of anthropomorphism on perceptions of anthropomorphism. A high level of message interactivity compensates for the impersonal nature of a chatbot that is low on anthropomorphic visual cues, and identifying the agent as human raises user expectations for interactivity.
How does anthropomorphism improve human-AI interaction satisfaction: a dual-path model?4 answersAnthropomorphism improves human-AI interaction satisfaction through a dual-path model. The studies conducted by Li and Sungdemonstrated that participants who anthropomorphized their AI assistants had more positive attitudes towards them. This effect was mediated by psychological distance. The proposed Dual-path Actor Interaction (Dual-AI) framework by Han et al.enhances actor relations by integrating spatial and temporal transformers in two complementary orders. It also introduces a Multi-scale Actor Contrastive Loss (MAC-Loss) to reduce action confusion among different actors. The Dual-AI framework improves group activity recognition and achieves state-of-the-art performance on benchmark datasets. Muellersuggests that the mismatch between human and AI classification can be addressed through explainable AI, novel training methods for users, and new algorithms that match human cognition. These strategies can help improve the interaction between humans and AI systems.