Supporting conference attendees with visual decision making interfaces

Verbert, K and Brusilovsky, P and Wongchokprasitti, C and Parra, D and Cardoso, B (2017) Supporting conference attendees with visual decision making interfaces. In: UNSPECIFIED.

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Abstract

Recent efforts in recommender systems research focus increasingly on human factors affecting recommendation acceptance, such as transparency and user control. In this paper, we present IntersectionExplorer, a scalable visualization to interleave the output of several recommender engines with user-contributed relevance information, such as bookmarks and tags. Two user studies at conferences indicate that this approach is well suited for technical audiences in smaller venues, and allowed the identification of applicability limitations for less technical audiences attending larger events. Copyright held by the owner/author(s).

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Details

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Status:	Published
Creators/Authors:	Creators Email Pitt Username ORCID Verbert, K Brusilovsky, P peterb@pitt.edu PETERB 0000-0002-1902-1464 Wongchokprasitti, C chw20@pitt.edu CHW20 Parra, D Cardoso, B
Date:	7 March 2017
Date Type:	Publication
Journal or Publication Title:	International Conference on Intelligent User Interfaces, Proceedings IUI
Page Range:	161 - 164
Event Type:	Conference
DOI or Unique Handle:	10.1145/3030024.3038273
Schools and Programs:	School of Information Sciences > Information Science
Refereed:	Yes
ISBN:	9781450348935
Date Deposited:	09 Aug 2017 15:20
Last Modified:	02 Feb 2019 14:55
URI:	http://d-scholarship.pitt.edu/id/eprint/32805

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