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https://ceur-ws.org/Vol-1705/00-preface.pdf
Preface
EnCHIRes 2016 In our daily activities we interact with different types of de-
Bruxelles, June 21, 2016 vices, i.e. personal computers, smartphones and tablets,
in order to access information. The interactions exploit also
different means, such as the usage of mobile applications,
the visualization and the upload of user-generated content
in social networks, the browsing of a website, and so on.
Recommender Systems produce suggestions to users for
items, contents, user profiles, etc. they have not considered
but might interest them, by analyzing what they previously
liked, bought, watched or listened. Such an explicit feed-
back is an expression of extreme ratings either positive or
negative. In the middle of the range stays a set of different
actions in the interface that might be interpreted as feed-
back, but that needs to be collected implicitly. Even if the
literature provides different techniques for collecting implicit
feedback, they are tailored for specific types of applications.
From the user’s point of view Recommender Systems re-
main a black box that suggests objects or contents, but
the users hardly understand why some items are included
in the suggestion list. Providing the users with an under-
standable representation of how the system represents
EICS’16, June 21-24, 2016, Bruxelles, Belgium. them would have two types of benefits. On the one hand,
the user is able to track the origin of each suggested item,
connecting it to a property in the user model. This would
increase the user’s trust towards the system. On the other
hand, the user may change incorrect attributes and this
would lead to more precise recommendations. For instance, The workshop was an event co-located with the eight ACM
it would be possible for the user to search for the latest al- SIGCHI conference on Engineering Interactive Systems
bum of her sister’s favorite band in order to give a present (EICS 2016). After the review process for ensuring the pa-
for her birthday. But maybe the user likes a completely dif- per quality, the programme committee selected 6 papers:
ferent genre. 4 full and 2 short papers. In addition, Markus Zanker was
invited for presenting his work on persuasive recommender
In this regard the user interface engineering community systems during the workshop keynote.
has the expertise for generalizing the existing approaches,
and to elaborate new patterns and metaphors for support- We thank all the authors for their submissions and all mem-
ing users in both inspecting and controlling Recommender bers of the program committee. We are grateful to the EICS
Systems and the goal of this workshop is to solicit the col- workshop chairs Judy Bowen, Bruno Dumas and Jan Van
laboration between recommendation and user interface den Bergh for their support in the workshop organization.
experts.
October 2016 Lucio Davide Spano
The papers in this workshop proceedings book present dif- Ludovico Boratto
ferent results and ongoing research on the following topics: Salvatore Mario Carta
Gianni Fenu
• Design patterns, metaphors and innovative solutions
for the end-user inspection and control of a Recom-
mender System
• Case studies, applications, prototypes of innovative
ways for considering the users’ interactions as data
for Recommender Systems
• Position papers on problems and solutions for sup-
porting the Recommender Systems through user
interaction and the user while interacting with appli-
cations that exploit Recommender Systems
• Feature selection and data filtering approaches to
extract information from the data gathered through
Human-Computer Interaction techniques, for recom-
mendation purposes
• Analysis of implicit data collected from real-world sys-
tems, in order to evaluate their effectiveness for rec-
ommendation and personalization purposes
Organizing Committee • Toon De Pessemier (Ghent University, Belgium)
Workshop organizers • Anisio Mendes Lacerda (CEFET-MG, Brazil)
• Ludovico Boratto, (University of Cagliari, Italy) • Denis Parra Santander (Pontificia Universidad Católica
• Lucio Davide Spano, (University of Cagliari, Italy) de Chile, Chile)
• Salvatore Mario Carta, (University of Cagliari, Italy) • Sangkeun Lee (Oak Ridge National Laboratory, USA)
• Gianni Fenu, (University of Cagliari, Italy) • Elisabeth Lex (Graz University of Technology, Austria)
• Lara Quijano SÃanchez
˛ (Carlos III University of Madrid,
Spain)
Programme Committee • Mustansar Sulehri (University of Southampton, United
• Panagiotis Adamopoulos (Stern School of Business, Kingdom)
New York University, USA) • Christoph Trattner (Graz University of Technology,
• Mohammad Alshamri (KSA and Ibb University, Yemen) Austria)
• Marcelo Armentano (Universidad Nacional del Centro • Hao Wu (School of Information Science and Engi-
de la Pcia. de Buenos Aires, Argentina) neerin, China)
• Pedro G. Campos (Universidad del Bío-Bío, Chile) • Eva Zangerle (University of Innsbruck, Austria)
• Michael D. Ekstrand (Texas State University, USA) • Yong Zheng (DePaul University, USA)
• Sampath Jayarathna (Texas A&M University, USA)
Table of Contents
Persuasive recommender systems - Keynote (invited paper) 1
Markus Zanker
Free University of Bozen-Bolzano
Interactive Recommending: Framework, State of Research and Future Challenges 3
Benedikt Loepp, Catalin-Mihai Barbu and Jügen Ziegler
University of Duisburg-Essen
What Can Be Learnt from Engineering Safety Critical Partly-Autonomous 14
Systems when Engineering Recommender Systems
Camille Fayollas1 , Célia Martinie1 , Philippe Palanque1 , Eric Barboni1 and Yannick Deleris2
1
ICS-IRIT, University of Toulouse
2
AIRBUS Operations
Evaluating an Assistant for Creating Bug Report Assignment Recommenders 26
John Anvik
University of Lethbridge
Beyond De-Facto Standards for Designing Human-Computer Interactions in Configurators 40
Tony Leclercq1 , Jean-Marc Davril1 , Maxime Cordy2 and Patrick Heymans1
1
University of Namur
2
Skalup
Improving the Accuracy of Latent-space-based Recommender Systems by 44
Introducing a Cut-off Criterion
Ludovico Boratto, Salvatore Carta and Roberto Saia
University of Cagliari
Recommendation Centre: inspecting and controlling recommendations with radial layouts 54
Lucio Davide Spano and Gianni Fenu
University of Cagliari