Towards Algorithmic Experience: Initial Efforts for Social Media Contexts
summary
Proposes Algorithmic Experience (AX) as a neutral analytic framing, validated through semiotic inspection, a priming tutorial and three participatory workshops on Facebook mobile that produced five concrete design opportunities: profiling transparency, profiling management, algorithmic control, selective memory, and algorithmic awareness. Participants generate prototypes — a question‑mark explanation overlay, a low‑interaction friends list, per‑person memory suppression, and a one‑tap switch to most‑recent — and report increased critical awareness and demand for these features.
AI-written summary · about
chapters (10)
- 0:00Introduction and gratitude
- 1:52Introducing algorithmic experience
- 2:57Methodology and research steps
- 4:23User feedback and design solutions
- 6:31Design opportunities framework
- 9:43Algorithmic spaces and transparency
- 10:46Guidelines for designers
- 11:08Benefits of good algorithmic experience
- 12:14Future research directions
- 13:20Q&A session begins
related talks
20mMicrointeractions for the System: Design in the Age of Techlash
01h 20mARTOUNTABILITY: ACCOUNTABILITY, AI, AND ART
23mTech Beyond the Algorithm: Building for Communities (and Profit)
47mPixels And Place: An Integrated Approach To Online And Offline Human Experiences
20mNew Process, New Vocabulary: Axiofact = A_tefact + Memoranda
36mResponsible Design
27mAI is Eating the World, But Without AX, It’s Just Code
25mWhen design meets machine learning