Mensch-Maschine-Interaktion 2. Interactive Environments. Prof. Dr. Andreas Butz, Dr. Julie Wagner
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1 Mensch-Maschine-Interaktion 2 Interactive Environments Prof. Dr. Andreas Butz, Dr. Julie Wagner 1
2 Interactive Environments context and task challenges input challenges in interaction design output 2
3 Environment context and task challenges input challenges in interaction design output Card s Design Space Descriptive Power Linear Rotary x f z rx ry rz s Volum e o :P R: selection 5 : p E Mous e. u (D a G ~ dp dr ~ : d > 5 al $ :F TG L c o a) 0 : = b k df dt ; g a : Inf Inf Inf Inf Inf Inf c m Measure Measure Measure Measure Measure Measure 3
4 Environment context and task challenges input challenges in interaction design output Card s Design Space Predictive Power Mental preparation Hand from keyboard to mouse or vice versa Point the mouse to on-screen object Button press or release (mouse) Select on-screen object with the mouse after typing text on the keyboard: 1.20 s 0.40 s 1.10 s 0.10 s 2.80 s 4
5 Environment context and task challenges input Card s Design Space Generative Power Linear Rotary x I t I z rx ry I I rz Mont I i Kn\,hnarA \lpl CInwn I Pm ia*n,, challenges in interaction design output AOnlY Foley! only Buxton O Both Foley& Bu.ton O Other 5
6 Environment context and task challenges input challenges in interaction design Challenge: body involvement BodyScape Involvement of body parts Relationship between the body and the interactive environment output 6
7 Environment context and task challenges motor Involvement of Body Parts input challenges in interaction design output motor = body part that contributes to the overall performance of a movement Y.Guiard Kinematic Chain 7
8 Environment context and task challenges Involvement of Body Parts input challenges in interaction design output Input motor assembly: a group of motors that handle a specific interaction task. Output motor assembly: a group of motors that is responsible for bringing the eyes into an appropriate position to enable visual perception of output. 8
9 Environment context and task challenges Body-environment Relationship Input Motor Assembly input challenges in interaction design external display output directed input input motor assembly body-relative world-fixed 9
10 Environment context and task challenges Body-environment Relationship Output Motor Assembly input challenges in interaction design external display output body-relative visual output coordination output motor assembly input motor assembly world-fixed 10
11 Environment context and task CHI 2013: Changing Perspectives, Paris, France Classifying Interaction Techniques challenges output fixed in the world challenges in interaction design VIsual Output input relative to the body groups dy parts a relative to the body mid-air touch b free c free Input restricted d e f free g restricted fixed in the world mid-air touch free restricted h restricted Figure 2. BodyScape presents a taxonomy of atomic body-centric cted interaction techniques, organized according to Input and Visual Output. a) Virtual Shelves [22]; b) Skinput [16]; c) Body-centric interaction odyscape, LMU München Medieninformatik Andreas Butz!Mensch-Maschine-Interaktion II WS2013/14 11
12 context and task challenges input challenges in interaction design output Session: Full-Body Interaction Generating Power of the Design Space Number of Involved & Affected Body Parts Environment 5 + On-body Touch PinStripe On-body Touch & Mid-air Pointing VIDEOPLACE 5 groups of body parts Armura 2 PUB Skinput Shoemaker PalmRC Virtual Shelves Input: relative Output: fixed Multitoe Touch Projector + Charade Input: relative Output: relative free Pick & Drop + Handheld touch 1 barcode Mid-air Pointing mid-air touch Input: fixed Output: relative mid-air touch Input: fixed Output: fixed Body Restriction in the Environment restricted Figure 1. Atomic body-centric interaction techniques in BodyScape, according to the level of Body Restriction in the Environment and 12
13 Environment context and task Composing Motor Assemblies challenges input IMA1 IMA2 IMA1 IMA1 challenges in interaction design in series IMA2 separated IMA2 overlapping output IMA = Input Motor Assembly = pointing = select 13
14 BodyScape Body s involvement Relationship between the body and the interactive environment Categorize related work Generate and analyze new compositions 14
15 Challenge: limited attention resources We have seen change blindness as an example limited visual attention reasons physiological and cognitive Attention is generally a limited resource various parts of the environment may compete for our attention how does the mind decide what to pay attention to? Visual stimuli might be out of sight Acoustic stimuli might drown each other out cocktail party effect may help us 15
16 Negative Example (from Minority report) 16
17 A Model of Human Attention Christopher D. Wickens, Jason S. McCarley: Applied Attention Theory, CRC Press, May 7, Descriptive? Predictive? Generative? 17
18 SEEV model of influencing factors Wickens_AppliedAttentionTheory.pdf 18
19 Mini-discussion on SEEV: remember: change blindness examples (flicker) remember the moonwalking bear? (a.k.a Simon s gorilla: other effects you ve come across? 19
20 Example: unexpected warnings F. Lauber, A. Butz: In-Your-Face, Yet Unseen? Improving Head-Stabilized Warnings to Reduce Reaction Time, CHI 2014 driving scenario with a secondary visually demanding task warnings in HUD and HMD Warnings in the main field of view (HMD) were not faster than in the constant location (HUD) After introducing a visual maker for the place where warnings would appear (expectancy), they were faster!!! 20
21 Example: notification in ambient soundscapes known effect: we recognize known sounds even when they are played in the background crosses the border from subconscious to conscious idea: use this to notify people of events play an ambient piece of music to notify, mix in a motif known to that person...or a specific instrument effect: remains unnoticed to other people 21
22 Notification in Ambient Soundscapes [Butz, Jung, IUI 2005] Piano (opt.) FX (opt.) Cello Keyboard Keyboard Violin Drums 22
23 Notification in Ambient Soundscapes [Butz, Jung, IUI 2005] Core music always present Notification in a musically fitting way Learned by target person Crosses the border to conscious perception by the target person Ignored by other people Quantitative user study Audio Workshop at Pervasive 2005 Piano (opt.) Piano (opt.) Piano (opt.) FX (opt.) FX (opt.) FX (opt.) FX (opt.) Musical core 23
24 Challenge: Social interaction & awareness Instrumented environments are no longer single user users might collaborate locally users might compete for resources locally users might collaborate remotely Users need to be aware of technology discoverability: How do I see what I can do? Technology aware of users Example: proxemic interactions Example: group mirrors 24
25 A spatial model for social interactions: F-formations Conducting Interaction: Patterns of Behavior in Focused Encounters, Adam Kendon, Cambridge University Press 1990, Images taken from Nicolai Marquardt s PhD thesis: 25
26 Proxemic interactions based on F-formations extend spatial relationship concept to machines F-formations between humans and Displays remember proxemic media player shown earlier... 26
27 Environment context and task challenges input challenges in interaction design output Take-away Message Instrumented environments involve us (plural! ;-) with our entire body and all senses. This poses new research challenges, e.g. describing whole body involvement models for limited cognitive resources describing (and creating) social collaboration Interaction with these environments brings back some of the richness of the physical world 27
28 Lecture Evaluation: Discussion Thanks for graceful judgements ;-) Main points: Selection of topics interesting Level of detail and difficulty OK Too much workload in exercises have you at least learned something useful? More structure and crossreferences! Too many videos Language mix is disturbing Filming is problematic light disturbing, video of us not really needed ;-) 28
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