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CourseQ: the impact of visual and interactive course recommendation in university environments

Boxuan Ma, Min Lu, Yuta Taniguchi, Shin'ichi Konomi
2021 Research and Practice in Technology Enhanced Learning  
Our results and discussions highlight the impact of visual and interactive features in course recommendation systems and inform the design of future recommendation systems for higher education.  ...  A large number of existing studies in course recommendation systems focus on the accuracy of prediction to show students the most relevant courses with little consideration on interactivity and user perception  ...  Acknowledgements The authors would like to thank the participants in our experiment.  ... 
doi:10.1186/s41039-021-00167-7 doaj:c164b40837434c61b6295e3f249ea216 fatcat:xhmatr2j2jfb3ldkqprnpwqnle

Influences of Transparency and Feedback on Customer Intention to Reuse Online Recommender Systems
온라인 추천시스템에서 고객 사용의도를 위한 시스템 투명성과 피드백의 영향

Januel L. Hebrado, Hong Joo Lee, Jaewon Choi
2013 The Journal of Society for e-Business Studies  
RSs aid users in filtering products and decisions on matters relating to personal taste.  ...  However, most previous research on RSs has focused on the accuracy of the algorithms, with little emphasis on user interface and perspectives.  ...  Thus, this research focused on examining and identifying the roles of transparency and feedback in RSs and how they affected users' behavior toward the recommender system.  ... 
doi:10.7838/jsebs.2013.18.2.279 fatcat:74d7obgiq5covmcliggh4uypoe

Mixed-Initiative Interface Personalization as a Case Study in Usable AI

Andrea Bunt, Cristina Conati, Joanna McGrenere
2010 The AI Magazine  
Interface personalization aims to streamline the process of working in a feature-rich application by providing the user with an adapted interface tailored specifically to his/her needs.  ...  In doing so, we focus primarily on how MICA handles threats to usability that are often found in adaptive interfaces including obtrusiveness and lack of understandability and control.  ...  MICA compares the results of these simulations and makes recommendations based on the interface determined to be optimal in terms of time on task for the particular user in question.  ... 
doi:10.1609/aimag.v30i4.2264 fatcat:a53zsltydzgidjrcwyvuurz7ou

Guest Editorial: Agent and System Transparency

Jessie Y. C. Chen, Frank Ole Flemisch, Joseph B. Lyons, Mark A. Neerincx
2020 IEEE Transactions on Human-Machine Systems  
Two studies examine the effects of individual and cultural differences and, based on the compelling results, provide design recommendations related to transparent interfaces.  ...  With transparency information, participants were able to calibrate their trust in the agent's recommendations more appropriately (e.g., rejecting incorrect recommendations) than in opaque conditions.  ... 
doi:10.1109/thms.2020.2988835 fatcat:b6d6wa3fczdcfkdcw5bs2lwj6u

See what you want to see

Denis Parra, Peter Brusilovsky, Christoph Trattner
2014 Proceedings of the 19th international conference on Intelligent User Interfaces - IUI '14  
aspects of the interface and user characteristics that influence the user experience on recommender systems.  ...  Behavioral analysis and subjective evaluation indicate that the proposed controllable interface had a positive effect on the user experience.  ...  ACKNOWLEDGMENTS The last author of this paper is supported by the Know-Center.  ... 
doi:10.1145/2557500.2557542 dblp:conf/iui/ParraBT14 fatcat:yiwvhlvy55ggxh2wypejvdzzdm

A user-centric evaluation framework for recommender systems

Pearl Pu, Li Chen, Rong Hu
2011 Proceedings of the fifth ACM conference on Recommender systems - RecSys '11  
usability, usefulness, interface and interaction qualities, users' satisfaction with the systems, and the influence of these qualities on users' behavioral intentions, including their intention to purchase  ...  In this paper, we describe a unifying evaluation framework, called ResQue (Recommender systems' Quality of user experience), which aimed at measuring the qualities of the recommended items, the system's  ...  To date, many researchers have emphasized that transparency has a certain impact on other critical aspects of users' perception.  ... 
doi:10.1145/2043932.2043962 dblp:conf/recsys/PuCH11 fatcat:2oqib6gqqbguxkdxtkium6iuw4

An approach to controlling user models and personalization effects in recommender systems

Fedor Bakalov, Marie-Jean Meurs, Birgitta König-Ries, Bahar Sateli, René Witte, Greg Butler, Adrian Tsang
2013 Proceedings of the 2013 international conference on Intelligent user interfaces - IUI '13  
Also, we report on a user study evaluating the impact of controllable personalization on the usefulness, usability, user satisfaction, transparency, and trustworthiness of personalized systems.  ...  In this paper, we propose an approach to controlling adaptive behavior in recommender systems.  ...  Acknowledgements We thank Justin Powlowski and all the participants of the user study for their time, patience, and valuable feedback.  ... 
doi:10.1145/2449396.2449405 dblp:conf/iui/BakalovMKSWBT13 fatcat:cy2zbviaojclrevlmv7677zkci

A Cross-Cultural Analysis of Explanations for Product Reviews

John O'Donovan, Shinsuke Nakajima, Tobias Höllerer, Mayumi Ueda, Yuuki Matsunami, Byungkyu Kang
2016 ACM Conference on Recommender Systems  
Results of the study show that 1) Korean and Japanese speakers chose the most complex UI more often than English speakers. 2) older participants also preferred more options in cosmetic product selection  ...  We applied a 3 by 2 within subjects experimental design in a user study (N=150) to evaluate e↵ects of UI design and personalization on a range of user experience metrics in a cosmetics shopping scenario  ...  , and on the impact of personalization on these perceptions.  ... 
dblp:conf/recsys/ODonovanNHUMK16 fatcat:kohixwxzkvgbhpgqdufeo2enj4

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.  ...  Whether users are likely to accept the recommendations provided by a recommender system is of utmost importance to system designers and the marketers who implement them.  ...  Indeed, the important role and impacts of embodied interface agents in the context of recommender systems have recently been emphasized in a number of studies.  ... 
doi:10.1007/978-0-387-85820-3_14 fatcat:w5w3ab2rvrcsrja7e77azohemm

An Empirical Analysis on Transparent Algorithmic Exploration in Recommender Systems [article]

Kihwan Kim
2021 arXiv   pre-print
Besides, users evaluated that our new interface is better than the conventional mix-in interface in terms of novelty, diversity, transparency, trust, and satisfaction.  ...  Our results indicated that users left significantly more feedback on items chosen for exploration with our interface.  ...  Specifically, revealed exploration not only got higher scores in novelty, diversity, transparency, trust and satisfaction in a user-centric evaluation, but also gathered more implicit feedback on the exploratory  ... 
arXiv:2108.00151v2 fatcat:copt7dvm55acjaysb2uullzexa

User-controllable personalization: A case study with SetFusion

Denis Parra, Peter Brusilovsky
2015 International Journal of Human-Computer Studies  
In this research we investigated the role of user controllability on personalized systems by implementing and studying a novel interactive recommender interface, SetFusion.  ...  Through the analysis of these metrics, we confirmed results from recent studies, such as the effect of trusting propensity on accepting the recommendations and also unveiled the importance of features  ...  We also hope that similar research of other teams on the transparency and controllability of recommender interfaces will help us better understand the impact of these factors eventually leading to better  ... 
doi:10.1016/j.ijhcs.2015.01.007 fatcat:pds253rlxvaspipkkjf3msb7ya

User Control in Adaptive Information Access

Peter Brusilovsky
2022 Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization  
This is also one of the oldest types of adaptive systems where the ideas of user control were explored.  ...  Adaptive information access systems is one of the most popular types of adaptive systems.  ...  In the area of recommender systems, the work on user control is frequently integrated with research on transparency, which explores visualization approaches that make it more clear to the user how personalization  ... 
doi:10.1145/3503252.3533722 fatcat:7rn2akqsdzcsppkbmgwwfjied4

Human-Autonomy Teaming and Agent Transparency

Jessie Y.C. Chen, Anthony R. Selkowitz, Kimberly Stowers, Shan G. Lakhmani, Michael J. Barnes
2017 Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction - HRI '17  
We developed the user interfaces for two HRI tasking environments based on the Situation awareness-based Agent Transparency (SAT) model: dismounted infantry interacting with a ground robot (Autonomous  ...  Squad Member) and human interacting with an intelligent agent to manage a team of heterogeneous robotic vehicles (IMPACT).  ...  Department of Defense's Autonomy Research Pilot Initiative (PM, Dr. DH Kim). The authors wish to thank Daniel Barber's team for their support.  ... 
doi:10.1145/3029798.3038339 dblp:conf/hri/ChenSSLB17 fatcat:zt3zb27cxfejfeyouwztujt5te

Short-Term Satisfaction and Long-Term Coverage

Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims
2018 Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM '18  
We find that users respond non-linearly to the amount of exploration, where some exploration mixed into the set of recommendations has little effect on short-term satisfaction and behavior.  ...  To this end, we conduct a behavioral study with over 600 people, where we vary how algorithmic exploration is mixed into the set of recommendations.  ...  Analytis as well as the anonymous reviewers for their valuable feedback and questions.  ... 
doi:10.1145/3159652.3159700 dblp:conf/wsdm/SchnabelBDJ18 fatcat:uuebw4u7m5dghcxoxit3zldoqu

Designing an Adaptive Web Navigation Interface for Users with Variable Pointing Performance

Aqueasha Martin-Hammond, Foad Hamidi, Tejas Bhalerao, Christian Ortega, Abdullah Ali, Catherine Hornback, Casey Means, Amy Hurst
2018 Proceedings of the Internet of Accessible Things on - W4A '18  
., a computer mouse) to select elements on a website can be difficult. Adaptive user interfaces dynamically change their functionality in response to user behavior.  ...  While adaptive interfaces are increasingly prevalent on the Web, little is known about the preferences and expectations of users with variable pointing abilities and how to design systems that dynamically  ...  To help solidify our recommendations, in the next section, we demonstrate how we applied these recommendations in the design of a webbased adaptive interface to support pointing.  ... 
doi:10.1145/3192714.3192818 dblp:conf/w4a/Martin-HammondH18 fatcat:3pmcvyctyrfvrcca62fsmwe4mu
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