Imagine a smart car virtual assistant that would help you with directions and finding parking. This is exactly what Jane Motz and Geoffrey Hunter of Tribal Scale designed and prototyped. This post shares Jane and Geoff’s top tips when designing a smart car console: considerations around the cognitive load of the driver, entering and exiting the modality, regional linguistic variations, and how to build off what other’s have already done.Read More
This post explores machine learning considerations of two products. The first is Wattpad, an ai-augmented storytelling platform that, on the reader-side makes story recommendations and on the writer side assists with story tagging. And, the second is Dango, an ai-first smartphone emoji-suggester, which required designers to develop algorithm empathy (the algorithm only knows what you tell it) and required Dango's CEO to hand label 30,000 data points because the appropriate data set didn’t exist. This post was co-authored by Satsuko VanAntwerp and Scott Wright.Read More
This post jam packed with juicy questions and ponderings about how to design responsibly in an AI-first world.
- What do we even mean by design? (changing existing states to preferred states)
- How to design responsibility in an AI-first world? (prototyping and testing is needed more than ever)
- How can we gain a better understanding of the basics of AI in order to be able to join more effectively and gain agency over the conversation?
- What if we flip the order and start with technology as a probe, in order to learn more (research) then designing?
- Paradox: we want our lives to be made easier (make choices for us!) but we still want to retain choice (I do what I want!).
- There is a danger of only seeing our own point of view and not challenged, which may lead to becoming less open minded (news and social feeds based on our preferences)
- How can AI augment human creativity?
- Can we build effective scaffolding to eliminate bias in machine intelligent systems? (the airport security example)
Toronto is poised to become a hot spot for the fast-growing field of AI. While most of the current practitioner level conversation is engineering-centric, we’re interested in the intersection of AI and design. How is AI shaping human experiences? What does the work of designers look like in an AI-first future? This post explores a number of topics, including:
- What do we mean by the term AI?
- Our fear of sentient AI taking over stems from our sense of self importance as a species.
- Designing for AI forces us to self reflect and confront the systemic bias in our societies.
- We'll adjust to AI; soon it will be NBD.
- Sometimes transparency doesn’t matter (there is likely bias in the data: racism, sexism, etc.)
- AI has the potential to help us do our jobs better and do more of what we enjoy most.
My mind was blown at the Spotlight AR/VR conference. This post digs into my reflections and lingeringthoughts around:
- AR that helps kids receive faster medical treatment
- VR that incentivizes strangers to talk with one another
- AR for smells, tastes, and hearing
- Designing VR to create video-game-like feedback in the physical world
- AR clutter is a thing
- Hologram chat is a thing
- AR as a tool for self expression
The process of creating influential documents turns out to be incredibly political. The mere existence of a document makes it’s the ideas it contains powerful. Documentation equals sense making - rather than simply recording pre-conceived ideas.Documents build and bound communities. And, Authors hold power. In this post, I dig into these reflections about the secret powers and politics of documentation.Read More
The most common criticism of focus groups is that people's opinions will be swayed or silenced by whoever is the more dominant voice in the group. But what if we accept that opinions are constantly shifting, then this is just part of what group discussion is about. So then what we want to watch for in focus groups are the dynamics and social norms about the topics. At what point are people being silenced, how and why might that be happening, what can that tell us about attitudes and societal norms? In this post, I dig into these and other reflections about user research methods.Read More