Week 1 project

Cognitive computing apps that can interpret images or answer mails are becoming the norm due to recent advances in deep learning and open sourcing of tools such as TensorFlow. Applying a Word2Vec neural network model makes it possible to learn word embeddings i.e. high dimensional feature vectors in order to infer semantic associations and analogies from raw text, or retrieve shared representations enabling classification of novel images based on their nearest word vector neighbors. Sequential representations are likely to evolve into thought vectors capturing patterns of reasoning that will increasingly be incorporated into autonomous software

Learning objectives

• Map out user needs, existing alternatives, market segments, unique value propositions and solutions provided by your cognitive computing app using a lean business model canvas
• Create user story maps for your cognitive computing app in order to hierarchically model high level goals, activities and tasks as basis for scoping the prototype
• Prioritize what slices of the user story map tasks you would translate into the wireframes and storyboard that would make up a first teration for your cognitive computing app prototype
• Define how your cognitive computing app prototype will enable you to validate whether it solves a user "problem" for a specific market "segment" and to what degree that is reflected in your MVP minimum viable product "solution" 

Monday January 4

8: Short lecture followed by group work on the assignment : conceptualize a cognitive app based on Word2Vec using a lean business model canvas which is to be uploaded to campusnet as a PDF before lunch - if you feel lost play around with the demo app to figure out what semantic associations and analogies can be inferred from the feature vectors and imagine how this could be utilized in a shared representation combining different modalities or a sequence2sequence neural network conversational model

13: Brief presentations and feedback  on  selected projects followed by group work

16: Upload group work as a PDF containing business model canvas and user story map to peergrade.io - subsequently review the projects you have been assigned.

Tuesday January 5

8: Short lecture followed by group work  on   the  assignment:  conceptualize a cognitive app based on Word2Vec illustrating its functionality using a landing page which is to be uploaded to campusnet as a PDF before lunch.

13: Brief presentations and feedback  on  selected projects followed by group work : translating your landing page concept based on user story map task slices into wireframe iterations using POP

16: Upload group work (PDF with business models canvas, user story map, link to public POP url +  screenshot of  wireframe storyboard) to  peergrade.io  - subsequently review the projects you have been assigned.

Wednesday January 6

8: Short lecture followed by group work  on  assignment  to be uploaded before lunch:   add microinteractions (trigger rules feedback loops modes) which describe what happens between the wireframes in your POP storyboard.

13:  Brief presentations of  selected projects followed by group work: validate your prototype with at least three other groups, utilize the feedback as input for a revised next iteration, update your storybard adding microinteractions (triggers rules feedback loops modes) which describe what happens between the wireframes.

16: Upload group work to  peergrade.io  and review the assigned projects

Thursday January 7

8: Short lecture followed by group work  on  assignment  to be uploaded before lunch: optimize the wireframes in your storyboard by applying gestalt principles based on flat UI design patterns

13:  Brief presentations and feedback  on  selected projects followed by group work:  validate your prototype with at least three other groups, utilize the feedback as input for a revised next iteration, update your storybard wireframes by applying gestalt principles based on flat UI design patterns

16: Upload group work to peergrade.io and review the assigned projects

Friday January 8

8: Project presentations (3 mins per group)  with live peer review assessing 1.  to what extent does the prototype address clearly defined user needs for a specific segment ? 2.  to what extent does the prototype as a minimum viable product solve these needs ?

For the grading, please use this form. The results will be available later here.

17: Upload final project report  fulfilling the above learning objectives for a Word2Vec based smartphone app, including lean business model canvas, user story map, screenshot of storyboard and link to POP prototype, using the ACM  article format (half a page per group member, only PDFs accepted as hand-in) 

Video lectures

Lean methods related to UX design prototyping, business modeling and user story mapping

UX design prototyping

Lean business model canvas

User story mapping

UX design for qualitative and quantitive prototyping

UX design microinteractions: triggers, rules & feedback

UX design microinteractions: loops & modes

UX design turning shapes into gestalts

UX design translating gestalts into design patterns

Slides

UX engineering cognitive apps

UX modeling of needs and solutions

Literature

DL4J http://deeplearning4j.org Thought vectors, deep learning and the future of AI

DL4J http://deeplearning4j.org Word2Vec

Rare Technologies: Word2Vec tutorial and demo app

Jon Kolko: "Design thinking comes of age" (Harvard Business Review, 2015)

Ash Maura: "Running Lean", Chapter 1 Meta-principles (free sample)

Jeff Patton:  "User Story Mapping", Chapter 1  The big picture" (free sample)

Laura Klein: "UX for lean startups"  Chapter 1   Early validation (free sample)

Dan Saffer: "Microinteractions" Chapter 1 "Designing microinteractions"   (free sample)