Computer-Mediated Communication Media Richness and Visual Interfaces Coye Cheshire & Andrew Fiore // 15 February 2012
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Computer-Mediated Communication Media Richness and Visual Interfaces Coye Cheshire & Andrew Fiore // 15 February 2012 Projects and Assignment #1 Assignment 1 is a short 2-3 page description of your group project idea and the division of labor within the group. Due Feb. 22 at beginning of class (one assignment per group, 2 printed copies) Groups will be signing up for a meeting with us to discuss the project the following Wednesday. http://courses.ischool.berkeley.edu/i216/s12/assignment1.php 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 1 Theories of mediated communication 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 2 Cues Filtered Out Social presence: Lower bandwidth Less warm, others seem less salient Lack of non-verbal cues — disinhibition and hostility (e.g., flaming) unsealedprophecy.wordpress.com Is this the experience of online interaction? 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 3 Social Identity/Deindividuation Theory (Cues About Us, Not You or Me) Visual anonymity “deindividuation” salience to group identity “Overinterpreting” based on limited info could lead to greater social attraction based on in-group status, stereotyping. 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 4 Media richness — “ formation of shared [C]apacity to facilitate the meaning within a given time interval. 2/15/12 ” — Dennis & Kinney Cheshire & Fiore — Computer-Mediated Communication 5 A plausible ranking? Richer Face-to-face Synchronous video Synchronous audio / asynch. video Synchronous text / asynch. audio Asynchronous text Leaner 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 6 Rich 2/15/12 Elements of richness Multiplicity of cues (bandwidth) Immediacy of feedback Use of natural language Personal focus Cheshire & Fiore — Computer-Mediated Communication 7 Lean 2/15/12 Elements of richness Multiplicity of cues (bandwidth) Immediacy of feedback Use of natural language Personal focus Cheshire & Fiore — Computer-Mediated Communication 8 Channels, cues, and signals Channel conduit for a particular type of info, Channel: e.g., for voice or text Cue Cue: “any feature of the world, animate or inanimate, that can be used ... as a guide to future action” (Donath 2007) — i.e., informative, not necessarily intentional Signal a cue meant to indicate an otherwise Signal: hidden quality 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 9 Some types of social cues Verbal Non-verbal Beyond FTF? Textual Production cost to encode meaning equivalent to FTF in text 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 10 Feedback Type of feedback Acknowledgment — understanding Repair — correction or clarification Proxy — completion Immediacy of feedback Concurrent: synchronous nods, mm-hmms a.k.a. backchannel Sequential: brief interjection 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 11 Media choice vs. use (Cues to Choose By) What medium would you choose for a given task? vs. What medium “performs” best? Media Richness (the theory) originally examined media choice and use in organizations. Claim: Managers should choose medium based on task to be effective. More ambiguous tasks need richer medium. But when might we want a “less rich” medium? 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 12 Media choice vs. media use Types of tasks “Uncertain” — missing information “Equivocal” — ambiguous interpretations “Best” medium for an (un)equivocal task What do managers choose? What do they say they would choose? What yields the best performance? P.S.: What is “best performance”? 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 13 Dennis & Kinney hypotheses H1a: Performance improves as multiplicity of cues increases … H1b: … more for more equivocal tasks. H2a: Performance improves as immediacy of feedback increases … H2b: … more for more equivocal tasks. 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 14 Dennis & Kinney experiment Tasks Low-equivocality: SAT-type questions High-equivocality: College admissions Media 2/15/12 Cues: Low Cues: High Feedback: Delayed Text chat (turn-based) Video (half-duplex) Feedback: Immediate Text chat (live typing) Video (full-duplex) Cheshire & Fiore — Computer-Mediated Communication 15 Mean decision time (D&K) Task High cues (AV) Low cues (CMC) Immed. Delayed Immed. Delayed Low equiv. 12.21 17.00 26.29 31.53 High equiv. 13.14 14.35 18.71 23.71 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 16 — Clark & Brennan (1991) 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 17 Social Information Processing (Cues Filtered In) Walther (1992) re-examined early CMC research: “Given sufficient time and message exchanges for interpersonal impression formation and relationship development to accrue, and all other things being equal, relational [quality] in later periods of CMC and F2F communication will be the same.” Users compensate for attributes of CMC (e.g., emoticons to replace non-verbal affective displays) 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 18 Hyperpersonal communication (Cues Bent and Twisted) Contributing factors: Selective self-presentation Shared group membership Channel effects Feedback effects Bottom line: Perceptions more extremely positive (or negative) than FTF in the face of limited information 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 19 “ The sensorial parsimony of plain text tends to entice users into engaging their imaginations to fill in missing details while, comparatively speaking, the richness of stimuli in fancy [systems] has an opposite tendency, pushing users’ imaginations into a more passive role. — Curtis (1992) ” 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 20 Walther, Slovacek, & Tidwell 2001 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 21 Social attraction Long-term, no photos Short-term, photos Long-term, photos Short-term, no photos 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 22 Farnham & Riegelsberger 2004 Photo profiles Count Text profiles Gaming partner preference (1 = Don’t want to play with, 7 = Want to play with) 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 23 “ The study of CMC effects is not best served by blanket statements about technology main effects on social, psychological, and interpersonal processes, nor by proclamations that online relationships are less rewarding than FTF ones. Rather, qualities of CMC are … more often the product of interesting and predictable interactions of several mutual influences than main effects of media. — Walther et al. (2001) ” 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 24 Abstract visual interfaces 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 25 Social translucence Visibility: make social information apparent Awareness: knowing based on what you see Accountability: knowing that I know you know Why? To recreate a “social physics.” Why not “social transparency”? 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 26 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 27 “[T]ranslucence … stands in for the notion that, in the physical world, cues are differentially propagated through space — something which, as social creatures, we understand and make use of in governing our interactions. Thus, we know that those across the room may see we are talking, but will be unable to hear what we say; and we adjust our interactions to take advantage of this.” — Erickson et al. 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 28 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 29 Babble social proxy “provide cues about the presence and activity of those in the current conversation” 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 30 “Socially useful ambiguity” Pretending to pay attention, e.g., clicking the Babble proxy to feign attention to the conversation Plausible deniability: consider the fallibility of cell phones, email/spam filtering, etc. — tech. limitations, not design decisions, but the social utility of these devices would change without them. 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 31 Lecture proxy 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 32 Auction proxy 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 33 Waiting-in-line proxy 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 34 Chat Circles 2 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 35 The Chat Circles avatar Vaguely humanoid form, but stylized, not realistic — no faces! Words centered in/around the form — ties words to identity, “face” 2D location allows proximity Size tied to length of utterance 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 36 Temporality and spatiality Utterances vanish after a few seconds Hearing range: can see only nearby utterances What is the real-world effect mimicked here? 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 37 Movement Rhythm of conversation: growing and shrinking circles set the pace Proximity: friendliness, intimacy, or aggression Expressivity: fidgeting, dancing, leading, following, playing 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 38 Traces Movement traces Speech traces Visual indicator of social history of the chat space 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 39 History 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 40 Faces 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 41 What are faces good for? Conveying, among other things: Social presence Individual identity Social identity Emotion Gaze Source: galante.com By means of: Structure Dynamics Decorations 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 42 Ekman (1999) Ekman, Friesen, & Ellsworth (1972) (and many others) Basic emotions Anger Disgust Fear Characteristics of basic emotions Joy 1. Distinctive universal signals Sadness 2. Distinctive physiology Surprise 3. Automatic appraisal Contempt 4. Distinctive universals in antecedent events 5. Distinctive appearance developmentally 6. Presence in other primates 7. Quick onset 8. Brief duration 9. Unbidden occurrence 10. Distinctive thoughts, memories images 11. Distinctive subjective experience 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 43 Facial muscles 2/15/12 Action units Cheshire & Fiore — Computer-Mediated Communication 44 Facial expressions: Emotions revealed http://www.youtube.com/watch?v=-PFqzYoKkCc 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 45 Representing the face: “Being close may be worse.” 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 46 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 47 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 48 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 49 The Uncanny Valley http://www.youtube.com/watch?v=FKTAJBQSm10 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 50 “being there” vs. “beyond being there” 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 51 Chernoff faces 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 52 The New York Times and Prof. Steve C. Wang 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 53 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 54 Indeed, the 2007 managerial statistics, as presented in an annual register published by the baseball analyst Bill James, are a relatively dull grid of digits. But the facial maps make comparisons much easier to grasp. The St. Louis Cardinals’ Tony La Russa, known as a constant tinkerer, had his National League-leading 150 different batting orders (in 162 games) translate into an elongated head and wider eyes. By contrast, the Philadelphia Phillies’ Charlie Manuel — who said this spring that he used far fewer lineups because he preferred to “get into a routine and stay with it” — had a much squatter face and dots for eyes. — The New York Times 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 55 Designing with faces and bodies We read meaning in lots of things, but especially human forms! There is no such thing as neutral. 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 56 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 57 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 58 Faces in interfaces 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 59 Chit Chat Club (Karahalios and Dobson) 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 60 Chit Chat Club 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 61 Second Life facial expressions 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 62 Second Life expression plug-in 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 63 Facial Expression Analysis (Mateos: http://dis.um.es/~ginesgm/fip/problems.html#expression) 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 64 Eyes 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 65 2/15/12 & Kohshima Cheshire & Fiore — Computer-Mediated Communication Kobayashi 2001 66 2/15/12 Cheshire & Fiore — Computer-Mediated Communication Kobayashi & Kohshima 2001 67 Video chat 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 68 The gaze angle problem, or… Why so glum? Source: http://staffx.webstore.ntu.edu.sg/personal/astjcham/Web/Research/percepter.htm 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 69 Source: http://www.freepatentsonline.com/7126627.html 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 70 Yang & Zhang 2004 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 71 Source: D. Nguyen 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 72 Cameras Projectors MultiView Display 2/15/12 Source: D. NguyenCheshire & Fiore — Computer-Mediated Communication 73 Lag, lip synch, social judgments When audio precedes video by 5 video fields, viewers evaluate people on television more negatively (e.g. less interesting, more unpleasant, less influential, more agitated, less successful). Audio-video asynchrony has no effect on viewer's memory for audio information. Viewers can accurately tell when a television segment is in perfect synch, and when it is 5 fields out of synch. Viewers cannot accurately tell the same segments are 2.5 fields out of synch. Even though detection is low when asynchrony is moderate (2.5 fields), viewer evaluations are still affected. (Reeves and Voelker 1993) 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 74 For next Wednesday… Visualizations and Visual Interfaces Monmonier, M. (1996) Chapters 3 and 10. In How to Lie with Maps. Chicago, Ill.: University Of Chicago Press. Erickson, T. (2003) Designing visualizations of social activity: six claims. In Extended abstracts of ACM Computer-Human Interaction. Donath, J. (2011) Visualizing Conversation. Narayan, S., Cheshire, C. (2010) Not too long to read: The tldr Interface for Exploring and Navigating Large-Scale Discussion Spaces. In Proceedings of the 43rd Annual Hawaii International Conference on System Sciences. (HICSS). Computer Society Press. Remember to write your review! 2/15/12 Cheshire & Fiore — Computer-Mediated Communication 75