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Jan 15-19: Adaptive Systems and Beyond
Page last edited by Per Bækgaard (pgba) 18/01-2018
Adaptive systems tries to learn from user behaviour and biometric measurements, and adapts to our preferences and intents. This week will focus on designing systems that improves the UX by incorporating biometric measurements and learns from observed behaviour and metrics. Notice: This page will be updated throughout the week with additional information and material. Learning objectives
Monday 08:00: Wrap-Up and Introductory lecture on Adaptive Systems and Beyond 09:00: Group work and Hand-In of 3 ideas, each described by a Lean Canvas 12:00: Lunch break 13:00: Guest Lecture (Michael Kai Petersen) 14:00: Continued Group work, validating problems and markets and selecting one key idea 17:00: Hand-In of a Landing Page, Lean Canvas (and maybe initial USM and Annotated Wireframes) for the selected idea The FITTS law experiment will be available from around lunch and the rest of the day Slides: Morning Lecture. Guest Lecture. Tuesday 08:00: Feedback and lecture on Eye Tracking 09:00: Group work 12:00: Hand-In to CampusNet and Lunch break 13:00: Short feedback session followed by group work 15:59: Hand-In to Peergrade 16:00: Peergrade open until 20:00 The FITTS law experiment will be available during most of the day Slides: Morning Lecture. Wednesday 08:00: Feedback and short discussion 08:30: Group work 12:00: Lunch break 13:00: Guest lecture on usability scoring and scoring of the MORIBUS app 15:59: Hand-In to Peergrade (partial focus on validation) 16:00: Peergrade open until 20:00 The FITTS law experiment will be available during the day Short read: What every designer can learn from Alexa. Slides: Guest lecture. 08:00: Feedback and final reflecting lecture 09:00: Group work 12:00: Hand-In to CampusNet and Lunch break 13:00: Short feedback session followed by group work and preparation for final presentation 17:00: Hand-In to CampusNet (your presentation for tomorrow) The FITTS law experiment will be available durin the day Slides: Morning Lecture Friday 08:00: Group Presentation with Live Feedback Form (Results) 10:00: Group work 17:00: Hand-In of Report (0.5 page/groupmember) with Lean Canvas, Landing Page, User Story Map and Annotated (Micro-interactions) Wireframes, as well as documentation of your validations, as appendices in one pdf file to CampusNet. Name your file "GroupNN_title.pdf" (where title is a description of your work). Include also links to POP/Marvell/Invision "executable prototypes" if relevant, but make sure you have all details of the wireframes readable in the PDF file you hand in. For the report content, please follow the guidelines given earlier (page 25 of this deck, also adding relevant validation documentation). Literature (use findit.dtu.dk to read the articles not linked directly) Findlater, L. and McGrenere, J., 2004, April. A comparison of static, adaptive, and adaptable menus. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 89-96). ACM. Siefert, D.M. and McCollum, T.A., Ncr Corporation, 1998. Predictive, adaptive computer interface. U.S. Patent 5,726,688. Gomez-Uribe, C.A. and Hunt, N., 2016. The netflix recommender system: Algorithms, business value, and innovation. ACM Transactions on Management Information Systems (TMIS), 6(4), p.13. Bradley, M.M. and Lang, P.J., 1994. Measuring emotion: the self-assessment manikin and the semantic differential.
Journal of behavior therapy and experimental psychiatry, 25(1), pp.49-59 Jackson, Beatty: Task-evoked pupillary responses, processing load, and the structure of processing resources. Psychological Bulletin, 91(2):276–292, 1982. affectiva.com (or AffdexMe) Wallentin, M., Nielsen, A.H., Vuust, P., Dohn, A., Roepstorff, A. and Lund, T.E., 2011.
Amygdala and heart rate variability responses from listening to emotionally intense parts of a story. Neuroimage, 58(3), pp.963-973. Khalfa, S., Isabelle, P., Jean-Pierre, B. and Manon, R., 2002.
Event-related skin conductance responses to musical emotions in humans. Neuroscience letters, 328(2), pp.145-149. Eckstein et al. 2016: Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development Bækgaard, Petersen, and Larsen 2016: Separating Components of Attention and Surprise Bækgaard, Jalaliniya, and Paulin. 2016: Pupillary Measurement During an Assembly Task (DRAFT, published as part of PhD Thesis) Bækgaard 2015: Eye Movements (short summary) L4J 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)
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