1,720,961 research outputs found
Investigating the influence of a matching personality between user and chatbot on the user satisfaction of chatbot interactions
In the last couple of years, there has been an increase in the usage of chatbots
because of the low costs and convenience. Despite its increasing popularity,
there sometimes is a gap in chatbots’ understanding of users. Due to a lack
of understanding of user intentions and queries, vague answers are given
by chatbots, which in turn results in frustrated users. In these situations,
users would rather interact with humans. Previous research suggested that
personalities could help overcome this user experience with chatbots. This
study investigates how a match in personality between users and chatbots
influences user satisfaction. The focus lies on the Extraversion personality
dimension. A 2×2 between-subject experiment is performed to test the hypothesis
that a match in personality between a user and the chatbot would
increase user satisfaction. Two chatbots are designed which differ in personality
through linguistics, one with an introvert personality and one with an
extravert personality. The personality of users is determined using the Big
Five Inventory. The users interact with one chatbot at a time, and the User
Satisfaction for Information Chatbots (USIC) scale is used to assess their
satisfaction with these interactions. Based on these results, conclusions are
drawn about the influence of personality match between user and chatbot
on the user satisfaction of the interaction with the chatbots. In addition,
it is investigated how a match in personality influences the user satisfaction
of the four factors perceived speed, perceived privacy, communication
quality, and response quality of the interaction with the chatbots. These factors
are defined in the USIC scale. The responses were analyzed using the
Wilcoxon signed-rank test. One should also implement extravert chatbots
to increase the satisfaction of the perceived privacy and the communication
and response quality of the interaction. To increase the satisfaction of
the perceived speed of the interaction, an introvert chatbot would be more
satisfying. For introvert users, a significant difference was obtained for the
communication quality, which resulted in the suggestion to implement extravert
chatbots. However, no valid conclusion could be drawn about the
satisfaction of introvert users because there was no significant result, and
there were only 6 introvert users. According to this study, one should implement
extravert chatbots to increase user satisfaction of chatbot interactions
when an extravert user is involved, so a matching personality
User self-disclosure towards a sexual health chatbot: the role of chatbot self-disclosure and anthropomorphic cues
The current study aimed to investigate the impact of a sexual health chatbot’s selfdisclosure
and anthropomorphic cues on users’ self-disclosure. In a 2 × 2 factorial
design, 120 participants were randomly assigned to one of four conditions varying in the
chatbot’s level of self-disclosure and anthropomorphic cues. They engaged in discussions
about condom use with a chatbot (via the Wizard of Oz method) that employed the
motivational interviewing technique. Although Bayesian statistics showed inconclusive
evidence and lack of effects for the influence of chatbot self-disclosure and anthropomorphic
cues on user self-disclosure, a robust positive correlation emerged between user
self-disclosure and sexual orientation. In addition, the chatbot successfully integrated
motivational interviewing, triggered anthropomorphism in the user, and created a safe
environment for users to self-disclose. This study contributes to the field of humanchatbot
interaction, particularly in the sensitive realm of sexual health. It provides a
foundation for future research on chatbot attributes and inclusion within the context of
human-healthcare chatbot interaction, while also offering practical insights to improve
the interaction between humans and chatbots in sensitive healthcare domains. The
current study highlights the potential of chatbots to establish safe (sexual) health support
platforms, reducing dependence on human professionals and enhancing healthcare
accessibility.
Keywords: self-disclosure, anthropomorphism, conversational agents, sexual health,
motivational interviewing, Wizard of O
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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