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Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations [chapter]

Kyung-Hyan Yoo, Ulrike Gretzel
2010 Recommender Systems Handbook  
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

Kyung Hyan Yoo, Ulrike Gretzel
2008 Information Technology & Tourism  
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

Chuan Luo, Xin (Robert) Luo, Laurie Schatzberg, Choon Ling Sia
2013 Decision Support Systems  
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

Matthew D. Pickard, Jeffrey L. Jenkins, Jay F. Nunamaker Jr.
2012 2012 45th Hawaii International Conference on System Sciences  
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

Paolo Cremonesi, Franca Garzotto, Roberto Turrin
2012 ACM transactions on interactive intelligent systems (TiiS)  
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

Nava Tintarev, Judith Masthoff
2007 2007 IEEE 23rd International Conference on Data Engineering Workshop  
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


Maria Corazon A. Buena, Eduardo G. Ong
2019 Journal of Information System and Technology Management  
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

Alaa Alslaity, Thomas Tran
2021 Frontiers in Artificial Intelligence  
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

Nataliya Shevchuk, Harri Oinas-Kukkonen
2020 Urban Science  
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

J. Bobadilla, F. Ortega, A. Hernando, A. Gutiérrez
2013 Knowledge-Based Systems  
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

Ahmad Jawdat, Qasem Obeidat, Alaa Aljanaby
2011 Computer and Information Science  
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]

Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
2022 arXiv   pre-print
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]

Amit Sharma, Dan Cosley
2013 arXiv   pre-print
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]

Francesco Ricci, Lior Rokach, Bracha Shapira
2010 Recommender Systems Handbook  
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

Tuomas Lehto, Harri Oinas-Kukkonen
2015 AIS Transactions on Human-Computer Interaction  
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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