week 10. wabi-sabi

Expanding on Wabi-Sabi as a Design Resource in HCI

student presentation of case studies


History of Ideas: wabi-sabi


In search of wabi sabi (BBC)



Is Zen life wabisabi (曹洞宗)



道元禪師 (引進中國曹洞宗)


一代茶聖千利休 電影



Questions:

1. What is wabi-sabi
2. How to design with wabi-sabi?
3. How to relate wabi-sabi to slow design?

4. How to design wabi-sabi in Experiential AI?

Project 2. wabi-sabi as interaction design resource for Experiential AI
[Step 2] Ideation Cards: (constructive and generative methodology)

1. Collect concepts (or principles) related to Wabi-sabi

2. Collect your own design examples according to the principles

3. Select at least 22 examples for card-making

4. Create your own wabi-sabi design card deck for Experience AI.

Deadline 5/10, 2021

week 9. introducing material turn

Computational Compositions: Aesthetics, Materials, and Interaction Design, Wiberg, 
2010. 

"Material interactions": from atoms & bits to entangled practices, 2012, ACM CHI panel

Understanding agency in interaction design materials, 2012. (material talks back)

Methodology for materiality: interaction design research through a material lens, Wiberg, 2013. (Methodology)

Giving form to computational things: developing a practice of interaction design, Anna Vallga˚rda, 2014. (Framework)

Electric materialities and interactive technology, James Pierce, 2013

PUC theme issue: material interactions, 2014. (special issue, PUC)

Broken probes: toward the design of worn media, Daniela Rosner, 2014 (wabi-sabi)

Interaction Design as a Bricolage Practice, Anna Vallgårda & Ylva Fernaeus, 2015

Expanding on Wabi-Sabi as a Design Resource in HCI, Vasiliki Tsaknaki & Ylva Fernaeus, 2016

FeltRadio: Sensing and Making Sense of Wireless Traffic, 2016

Questions:
1. How does Microboundary relate to Wabi-sabi
2. Wabi-sabi and system 1/2 thinkings?
3. What is the relationship between wabi-sabi and mindful interaction?


Student presentation on Wabi-Sabi & its design cases next week.

Reference:

Wabi-Sabi：給設計者、生活家的日式美學基礎

日本美學：物哀、幽玄、侘寂（全三冊）：從唯美的物哀，深遠的幽玄，到空無的侘寂。掌握日本美學關鍵的獨家著作。

week 8. data-driven culture as experience

 1. students present Project 1.

2. revisiting "Human-AI Interaction" in four levels:

   Yang, Q., Steinfeld, A., Rosé, C. and Zimmerman, J. 2020. Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (New York, NY, Apr. 2020), 1–13. https://doi.org/10.1145/3313831.3376301

Level 1: fixed output, with statistics, 

              example

give simple examples:　

output = f(input)

new output = f(nearest_input)

What is Human-in-the-Loop?

Arts and Humanity: Human-in-the-Loop

Questions:

  what is the role of human in AI system?

  How to collect data? how to label?

3. Data-driven culture, Data Storytelling

Qian Yang, Alex Scuito, John Zimmerman, Jodi Forlizzi, and Aaron Steinfeld. 2018. Investigating How Experienced UX Designers Effectively Work with Machine Learning. In Proceedings of the 2018 Designing Interactive Systems Conference (DIS '18). Association for Computing Machinery, New York, NY, USA, 585–596. DOI:https://doi.org/10.1145/3196709.3196730

Questions:

 What are your Data Storytelling strategies? Practical, fictional, or communicative?

4.  Machine Learning as Monsters?

Graham Dove and Anne-Laure Fayard. 2020. Monsters, Metaphors, and Machine Learning. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–17. DOI:https://doi.org/10.1145/3313831.3376275