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Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations
[chapter]
2010
Recommender Systems Handbook
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This chapter reviews the existing literature on source characteristics in the context of human-human, human-computer, and human-recommender system interactions. ...
Specifically, research regarding the influence of source characteristics, which is abundant in the context of humanhuman relationships, can provide an important framework for identifying potential influence ...
Creating More Credible and Persuasive Recommender Systems ...
doi:10.1007/978-0-387-85820-3_14
fatcat:w5w3ab2rvrcsrja7e77azohemm
The Influence of Perceived Credibility on Preferences for Recommender Systems as Sources of Advice
2008
Information Technology & Tourism
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The findings also indicate that respondents prefer humans as recommendation sources and that this preference is influenced by perceptions of lack of credibility of recommender systems as well as genderspecific ...
' perceptions of the recommendation but also of the system as the advice giver. ...
(inter-the influence of user evaluations of recommender systems (specifically credibility evaluations) on face, presentation of recommendations, etc.) that most strongly increase perceptions of credibility ...
doi:10.3727/109830508784913059
fatcat:bpznjcp6dbf2rfdy4g6oah6cca
Impact of informational factors on online recommendation credibility: The moderating role of source credibility
2013
Decision Support Systems
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This study investigates the moderating effect of recommendation source credibility on the causal relationships between informational factors and recommendation credibility, as well as its moderating effect ...
Further, we find that source credibility negatively moderates the effect of recommendation credibility on recommendation adoption. ...
identical-target recommendations based on both persuasiveness and source credibility, or based on both completeness and source credibility. ...
doi:10.1016/j.dss.2013.05.005
fatcat:tvcdxp533rhnfoknciexffaa6a
Embodied Agents and the Predictive Elaboration Model of Persuasion--The Ability to Tailor Embodied Agents to Users' Need for Cognition
2012
2012 45th Hawaii International Conference on System Sciences
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PEMP is tested in a laboratory setting involving embodied agents attempting to influence participants' credibility assessments of individuals suspected of a crime. ...
In this study, we explore the ability of embodied agents (EAs) to influence users' assessments. ...
Processing along the peripheral route focuses more on the superficial characteristics of the message source such as attractiveness, voice quality, and language power. ...
doi:10.1109/hicss.2012.10
dblp:conf/hicss/PickardJN12
fatcat:uhzjdogq5zha3cfstzbe4fnq7m
Investigating the Persuasion Potential of Recommender Systems from a Quality Perspective
2012
ACM transactions on interactive intelligent systems (TiiS)
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Our data, collected for more than one year, allow us to conclude that, (1) the adoption of an RS can affect both the lift factor and the conversion rate, determining an increased volume of sales and influencing ...
Recommender Systems (RSs) help users search large amounts of digital contents and services by allowing them to identify the items that are likely to be more attractive or useful. ...
ACKNOWLEDGMENTS The authors would like to thank all participants-evaluators and test subjects-who contributed to our empirical studies. ...
doi:10.1145/2209310.2209314
fatcat:mcihbl6a5bdj7bw72xhdltqqce
A Survey of Explanations in Recommender Systems
2007
2007 IEEE 23rd International Conference on Data Engineering Workshop
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We highlight seven possible advantages of an explanation facility, and describe how existing measures can be used to evaluate the quality of explanations. ...
This paper provides a comprehensive review of explanations in recommender systems. ...
A persuasive explanation may also influence previous evaluations of items [10] . In this study persuasive ability was calculated as the difference between two ratings. ...
doi:10.1109/icdew.2007.4401070
dblp:conf/icde/TintarevM07
fatcat:dkq4va4pvjcmxpe3noetkes7si
CONSUMER TRUST AND COGNITIVE DISSONANCE TOWARDS ONLINE REVIEWS IN SELECTED RESORTS: A PREFERENTIAL MODEL
2019
Journal of Information System and Technology Management
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Initial findings showed that argument quality (.785), source credibility (.812) and perceived quantity of reviews (.785) had greatly influence consumer trust. ...
This study particularly investigated the determinants of consumer trust in online reviews, the assertions of cognitive dissonance as part of pre-purchase behavior, and their effects on customers' purchase ...
Likewise, reviewer source credibility moderated the effects of the persuasiveness and completeness of product recommendations on perceived recommendation credibility, via an online consumer discussion ...
doi:10.35631/jistm.415003
fatcat:unurho2dbng6ljiadkk4uzub2u
Users' Responsiveness to Persuasive Techniques in Recommender Systems
2021
Frontiers in Artificial Intelligence
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To fill this gap, this study diagnoses how users of different characteristics get influenced by various persuasive principles that a recommender system uses. ...
The study also shows that, among the considered factors, culture, personality traits, and the domain of recommendations have a higher impact on the influence of persuasive principles than other factors ...
AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication ...
doi:10.3389/frai.2021.679459
fatcat:mpg7jupgejfa7gtwzfmbi5ilhu
Aiding Users in Green IS Adoption with Persuasive Systems Design
2020
Urban Science
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In the theoretical background, main concepts, especially sustainable behavior, Green IS, IS adoption, persuasive systems, and persuasive systems design (PSD) model are presented. ...
Overviews of these studies are presented and the studies were analyzed as a whole. The reviewed studies suggest that the PSD model has a high potential for becoming a tool for Green IS enhancement. ...
Based on the Fogg behavior model [7] , the persuasive systems design (PSD) model was created by Oinas-Kukkonen and Harjumaa [8] . ...
doi:10.3390/urbansci4040052
fatcat:b76cykxlrzckbebdel4us2wtkq
Recommender systems survey
2013
Knowledge-Based Systems
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Recommender systems have developed in parallel with the web. They were initially based on demographic, content-based and collaborative filtering. ...
Currently, these systems are incorporating social information. In the future, they will use implicit, local and personal information from the Internet of things. ...
Evaluation of recommender systems results Since RS research began, evaluation of predictions and recommendations has become important [94, 201] . ...
doi:10.1016/j.knosys.2013.03.012
fatcat:z3gc5qjhkrcd5dsaah2gjdyu3y
On The Design of User Experience Based Persuasive Systems
2011
Computer and Information Science
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This paper reviews the current trends of persuasive technology and shows some example of the available persuasive systems. ...
Some of the systems that follow this approach have been proposed and illustrated. ...
We believe that involving users in the persuasion process would give more credibility to the system. ...
doi:10.5539/cis.v4n4p90
fatcat:rqe5brkypjhpthy4o5grxn6v7m
Explainability in Music Recommender Systems
[article]
2022
arXiv
pre-print
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be adapted -- to the specific characteristics of music consumption and recommendation. ...
Since the evaluation of explanation quality is decoupled from pure accuracy-based evaluation criteria, we also discuss requirements and strategies for evaluating explanations of music recommendations. ...
ACKNOWLEDGMENTS This work received support from the Austrian Science Fund (FWF): P33526 and DFH-23. ...
arXiv:2201.10528v1
fatcat:k4mhwh2nhzexxgyvz3dppv3j5i
Do Social Explanations Work? Studying and Modeling the Effects of Social Explanations in Recommender Systems
[article]
2013
arXiv
pre-print
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We distinguish between two key decisions: the likelihood of checking out the recommended artist, and the actual rating of the artist based on listening to several songs. ...
Recommender systems associated with social networks often use social explanations (e.g. "X, Y and 2 friends like this") to support the recommendations. ...
Finally, the work on trust in recommender systems suggests that recommendations from domain experts are more likely to be persuasive. ...
arXiv:1304.3405v1
fatcat:b7jexr4ddzcvvfnxlsee56vywa
Introduction to Recommender Systems Handbook
[chapter]
2010
Recommender Systems Handbook
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Recommender Systems (RSs) are software tools and techniques providing suggestions for items to be of use to a user. In this introductory chapter we briefly discuss basic RS ideas and concepts. ...
Our main goal is to delineate, in a coherent and structured way, the chapters included in this handbook and to help the reader navigate the extremely rich and detailed content that the handbook offers. ...
and more credible ones. ...
doi:10.1007/978-0-387-85820-3_1
fatcat:s4s5dzb3encezea335dvoqvw5q
Examining the Persuasive Potential of Web-based Health Behavior Change Support Systems
2015
AIS Transactions on Human-Computer Interaction
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The evaluation included a hands-on approach in which we used the systems for at least one month each and evaluated in terms of four categories: primary task support, computer-human dialogue support, system ...
This study adds to the body of knowledge on designing persuasive health behavior change support systems. ...
Acknowledgments This research was conducted in the OASIS research group, which is supported by the Martti Ahtisaari Institute, University of Oulu. ...
doi:10.17705/1thci.00069
fatcat:32ky3zcozng2tkoal3bfngfi4q
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