ArticleHMD Praxis der Wirtschaftsinformatik2022
[Ready for Take-off?-Design and Perception of Chatbots for Travel Vaccination Counseling].
Article in HMD Praxis der Wirtschaftsinformatik, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rise of digital speech-based assistants (e.g., Amazon's Alexa, Apple's Siri, or Hellofresh's chatbot) gained increased popularity and has also found its way into healthcare. A current example is WHO's WhatsApp chatbot that informs users about COVID-19. Such assistants can educate patients, independent of location and time, which is an incredible benefit for patients. However, in addition to existing technical challenges (including the development and optimization of speech recognition algorithms), there are also challenges in human-chatbot-interactions. This study investigates the role of a human-like design (including human name, greeting, and human avatar) of a travel vaccination advice chatbot on the perception of its users. Specifically, we aim to understand whether and how anthropomorphism (the perception of humanness and social presence in objects, animals, and machines) affects perceived trustworthiness and ultimately service satisfaction. In an online experiment with 78 participants, two chatbot designs (with human-like design elements vs. without these elements) were compared. The results show that perceived social presence significantly increases perceived trustworthiness and service satisfaction. Thus, we recommend that practitioners implement a human-like design travel vaccination counseling and similar counseling processes via chatbots.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.