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PHE - Health Improvement
Machine learning and natural language processing NLP are forms of AI
What can AI bring to evidence searching and synthesis?
RISmed (pubmed, medline), scopus, bibliometrixtidytext, text2vec, quanteda)e.g. literature on use of chatbots in Public Health
## Please wait...Your query is (chatbots[All Fields] AND "public health"[MeSH Terms]) AND 2000[PDAT] : 2018[PDAT]. This returns 2 abstracts. By default 1000 abstracts are downloaded. You downloaded 2 abstracts. To retrieve more set 'n =' argument to the desired value| title | abstract | journal | DOI | year |
|---|---|---|---|---|
| Predicting Consumer Responses to a Chatbot on Facebook. | As chatbots have become increasingly popular over the past years, most social networking sites have recognized their far-reaching potential for commercial purposes. Their rapid and widespread usage warrants a better understanding. This study examines the effectiveness of chatbots on Facebook for brands. The study proposes and tests a model based on the Consumer Acceptance of Technology model (CAT-model) including three cognitive (i.e., perceived usefulness, perceived ease-of-use, and perceived helpfulness) and three affective (pleasure, arousal, and dominance; PAD-dimensions) determinants that potentially influence consumers’ attitude toward brands providing a chatbot, and hence, their likelihood to use and recommend the chatbot (i.e., patronage intention). Structural equation modeling analyses show that two cognitive (i.e., perceived usefulness and perceived helpfulness) and all three affective predictors are positively related to consumers’ attitude toward the chatbot brand. The findings further indicate that attitude toward the brand explained a significant amount of variation in consumers’ patronage intention. Finally, all the significant determinants also have an indirect effect on patronage intention, mediated through attitude toward the brand. In conclusion, our findings hold valuable practical implications, as well as relevant suggestions for future research. | Cyberpsychology, behavior and social networking | 30036074 | 2018 |
| An artificially intelligent chat agent that answers adolescents’ questions related to sex, drugs, and alcohol: an exploratory study. | PURPOSE: The aim of this study was to investigate if and how an artificially intelligent chat agent (chatbot) that answers questions about sex, drugs, and alcohol is used and evaluated by adolescents, especially in comparison with information lines and search engines.METHODS: A sample of 929 adolescents (64% girls, mean age = 15), varying in urbanization level and educational level, participated in this study. Use of the chatbot was objectively tracked through server registrations (e.g., frequency and duration of conversations with the chatbot, the number and topics of queries), and a web-based questionnaire was used to evaluate the chatbot (e.g., the perception of anonymity, conciseness, ease of use, fun, quality and quantity of information, and speed) and to compare it with information lines and search engines.RESULTS: The chatbot reached high school attendees in general and not only adolescents with previous experience related to sex, drugs, or alcohol; this is promising from an informed decision-making point of view. Frequency (M = 11) and duration of conversations (3:57 minutes) was high and the chatbot was evaluated positively, especially in comparison with information lines and search engines.CONCLUSION: The use of chatbots within the field of health promotion has a large potential to reach a varied group of adolescents and to provide them with answers to their questions related to sex, drugs, and alcohol. | The Journal of adolescent health : official publication of the Society for Adolescent Medicine | 21501812 | 2011 |