For: 1st International Workshop on Algorithmic affordances in recommender interfaces held in conjunction with INTERACT 2023 19th IFIP TC13 Conference on Human- Computer Interaction.
AIMS AND SCOPE
Algorithms play a significant role in our daily lives, making decisions for users on a regular basis. This widespread adoption necessitates a thorough examination of how users interact with algorithms via interfaces, particularly in the context of recommender systems. The design of a recommender’s interface and specifically its algorithmic affordances have a serious impact on the user experience. Algorithmic affordances are mechanisms in the interface of recommender systems, that allow users tangible control over the algorithm. A straightforward example of an algorithmic affordance is ‘feeding the algorithm’, where the user specifically provides data to the algorithm to influence subsequent recommendations. Examples of implementations of ‘feeding the algorithm’ are rating and blacklisting. Other algorithmic affordances are, for instance, explanations, or allowing a user to manipulate parameters, in a way that shifts the recommendations’ original prominence..
For recommender interface design, it is crucial to understand how algorithmic affordances impact interaction qualities such as transparency, trust, and serendipity, and as a result, the user experience. Currently, the precise nature of the relation between algorithmic affordances, their implementation in recommender interfaces, interaction qualities, and user experience remains unclear. Consequently, much is still to be explored in this domain; furthermore, designers are largely without guidance when making design choices on algorithmic affordances in their algorithm-driven design projects. In response, this one-day workshop aims to bring together designers and researchers, providing a platform to exchange insights, research findings, design experiences, and knowledge on these complex interrelationships. The concluding segment of the workshop will focus on exploring the feasibility of a prospective tool designed to facilitate collaboration between designers and researchers in this field to aid both research and design practice.
- the user’s experience of increased control provided by algorithmic affordances
- mental model construction signalled by algorithmic affordances
- design patterns of algorithmic affordances
- balancing algorithmic affordances & cognitive overload
- how interface elements signal the presence of algorithmic affordances
- the relationship between algorithmic affordances and various interaction qualities
- general principles of the relationship between algorithmic affordances, interaction qualities and user experience
- a practitioner’s hands-on experience with designing algorithmic affordances in a recommender’s interface
- means to have fundamental research results on algorithmic affordances in recommender interface design land in the design practice
We invite both researchers and designers to submit papers. We will reserve a limited amount of spots for participants who did not submit a paper but for whom the topic is relevant. They are requested to submit a 200-500 word statement via our submittal tool that includes a short introduction and a motivation.
|09:00 – 09:30||Introduction + Keynote|
|09:30 – 10:45||Panel session 1: short presentations by authors of accepted papers/accepted cases|
|10:45 – 11:00||Break|
|11:00 – 12:15||Panel session 2: short presentations by authors of accepted papers/accepted cases|
|12:15 – 13:00||Lunch|
|13:00 – 14:15||Panel session 3: short presentations by authors of accepted papers/accepted cases|
|14:15 – 14:45||Presentation concept of an algorithmic affordances pattern library|
|14:45 – 15:00||Break|
|15:00 – 17:00||Case studies in groups (including breaks and plenary presentations): on translation of academic results to the design practice|
SUBMISSIONS AND PUBLICATIONS
We invite ux/ui-designers, researchers into HCI and HAII, and AI engineers working on topics or designs related to recommender interfaces to submit original papers of the following kinds:
- research papers describing recent results, user studies, literature reviews
- statements of interests or position papers describing novel ideas or perspectives
- case studies of interfaces including algorithmic affordances designed by the submitter, including a rationale of the decisions regarding algorithmic affordances and interaction qualities
- case studies of recommender interfaces encountered by the submitter, that sparked ideas or considerations on algorithmic affordances and interaction qualities in recommenders
All submissions should represent original and previously unpublished work currently not under review in any conference or journal. Papers and submitted design examples will be peer-reviewed and selected by relevance and likelihood of stimulating and contributing to a discussion related to the workshop theme. Should for the discussions of examples an NDA for participants be needed, that can be taken under consideration.
The maximum paper length is 6 pages, but shorter submissions are also welcome. When submitting an example of a design, please provide clear visual material of the interfaces as far as that is possible without breaching confidentiality agreements.
Please submit your paper electronically to https://easychair.org/conferences/?conf=alaf01
Templates for submission: Springer Word Templates (.zip) or Springer Word LaTeX (.zip)
Submitters of accepted contributions must guarantee that their paper will be presented at the workshop. Accepted work, both papers and design examples, will be published in a volume dedicated to the proceedings of this workshop.
IMPORTANT DATES AND DEADLINES
- May 5, 2023: deadline submission of position papers to workshops
- May 20, 2023: Notification to submitters of papers and examples
- To be announced: Data of end of early bird registration
- August 28 – September 1st: Interact 2023 (the workshop is on 28 August)
Deadlines are AOE
- Aletta Smits – HU University of Applied Sciences, Utrecht, The Netherlands
- Ester Bartels, MA – HU University of Applied Sciences, Utrecht, The Netherlands
- Chris Detweiler – The Hague University of Applied Sciences, The Hague, The Netherlands
- Koen van Turnhout – HU University of Applied Sciences, Utrecht, The Netherlands
For further information and questions, please contact: email@example.com at HU University of Applied Sciences