UGS 302 – Usability and UCD - Scientific Underpinnings - Memory and Cognition i Day 5 R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 1 Objectives i After this class you will be able to (it is my hope!): • Explain the human memory system • Explain how psychologists gathered data to infer the two-stage theory of memory • Explain some aspects of the psychology of reading • Explain how perceptual and cognitive psychology influence HCI designs • Have an excellent memory for “VAM” • Discuss the importance of designing systems to match the human. R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 2 Whole point . . . i • Let’s design systems to fit people instead of the other way around. R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 3 Human Information Processing i • How do human beings take in and process information? – Sensory psychology – how humans transform physical energy (e.g., light and sound waves) into sensory signals to and in the brain. – Perceptual psychology – how humans interpret these sensory signals as perceptions. – Cognitive psychology – how humans think about these perceptions, and previous experiences, and their own mental creations, and . . . – Psycholinguistics – The psychology of language -- what goes on between the time I have a thought and you have the same (or similar!) thought, whether I say it or write it. R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 4 What do we know about humans? i – In the physical realm: Anthropometry. – These days we’re more interested in the cognitive realm. – Question: Can you remember a 30-digit number? – I say that you can, right now, without practice, seeing it only once, for 1 second, with no time to rehearse. R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 5 i 3333333333333333333333333333333 R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 6 Experiment 1 i Instead of numbers, I’ll present CVC (consonant-vowel-consonant) strings -- like “NEH”. 10 CVCs, one at a time. Presented visually. Don’t have to remember them in order. Pencils down. Ready? R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 7 i BOV NAZ TOL RIJ DIH REN WUK CAQ GOC MEB R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 8 i BOV NAZ TOL RIJ DIH REN WUK CAQ GOC MEB R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 9 Experiment 2 i •Now, 10 new CVCs. •Same task -- recall them. •This time, after we read the 10th item, we’ll all count backwards from 100 by 3s, aloud, together. •Then when I say “Go,” write down as many of the 10 CVCs as you can. •Pencils down. •Ready? R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 10 i VAM LUN XOP REH WIV CIT JEG KUC ZOB YAD R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 11 i VAM LUN XOP REH WIV CIT JEG KUC ZOB YAD R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 12 Experiment 3 • • • • • • i Same as Experiment 2. Yet 10 more CVCs. Backwards counting. Don’t have to recall them in order. Pencils down. Ready? R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 13 i GEP TIV WOH LUP MAZ SEX KOL RUC NID BIR R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 14 i GEP TIV WOH LUP MAZ SEX KOL RUC NID BIR R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 15 So? i • So, the answer to “Can you remember a 30digit number?”, is . . . It depends. On what? – Whether you hear or see the number. – Whether the number is masked. – Whether you have time to rehearse. – Whether you can “chunk” the numbers. – If there are any intervening tasks. – How meaningful the number is. – WHAT the number is. So, what’s a usable interface? It depends. R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 16 Psycholinguistics i • The psychology of language. • What goes on from the time I get an idea until you have the same idea, – Whether I speak my idea (speech production, auditory science, speech perception) – Or write my idea (motor movements, visual system, reading) R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 17 The Psychology of Reading i • Except for fairly rare cases of “phonetic symbolism” (onomatopoeia) words have no inherent meaning. – (And rarer cases of “orthographic symbolism”!!) • So, READING is the interpreting of words, the acts that go on to impose meaning, from within, on external visual stimuli. R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 18 Some facts about reading i • Eyes of the mature reader move rhythmically across the page (from left to right). • Eye movement consists of fixations, saccades, regressions, and return sweeps. • No information is taken in during saccades (10-25 msec), regressions (same duration), or return sweeps (40 msec). • During fixation (250 msec) a visual pattern is reflected onto the retina. • Span of perception = amount of print seen during a single fixation. • Span of perception = 12 letter spaces for good readers, 6 for poor readers. R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 19 More facts i • Span of recognition – 1.21 words for senior high, 1.33 words for college readers. • So, 7 to 8 fixations per line of print. • As content gets tougher, duration of fixations, not number, changes (increases). • Regressive movements aren’t systematic. Used when attention is faltering. • College readers have 1 regressive movement per 3 or 4 lines of print. Immature readers have 3 or 4 regressions per line. R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 20 Iconic Memory i • Earlier I mentioned a two-stage memory process – STM and LTM. • A third stage, Iconic Memory: The unidentified, “pre-categorical” pattern of lines, curves and angles; formed in about 100 msec. • Icon can hold up to 20 letter spaces. • Pattern recognition routines are applied to the lines, curves. • It takes about 10 – 20 msec to read each letter out of the iconic memory. • Neural signal takes about 30 msec to go from the retina to the visual cortex. R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 21 Iconic Memory (cont’d.) i • At some point, thanks to pattern recognition routines, letters are read out. • Letters are transformed into abstract phonemic representations. • The abstract phonemes are used to search the mental lexicon. • About 300 msec after the eye has fallen upon the page, the first word is “understood,” i.e., placed in Primary Memory (STM, Working Memory). • Syntactic and semantic rules are applied to gain the meaning of the sentence. R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 22 How do you know, Randolph? i • Psycholinguists employ a variety of methods to acquire this data about human behavior. • One question: Why do we think readers routinely transform the visual representation into a phonological representation? – Cognitive economy – all (healthy) new readers come to the task as skilled hearers. – “I thought you said something about data?” R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 23 Rubenstein et al. (1971) i • Used a lexical decision task (word/nonword?). • Two types of nonwords – homophonous (with real words), like burd and nonhomophonous like rolt. Equally “wordlike.” • Longer latencies for burd. • Similarly, longer for real homophones like meat. • Pointed to “false matches” in the mental lexicon. R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 24 More Data i • McCusker et al. (1977) proofreading experiment – Homophonous typos (e.g., furst) went undetected more often than nonhomophonous typos (e.g., farst). • Gough and Cosky (1977) used the Stroop task. – Nonwords homophonous with color words (e.g,. bloo) led to more interference than control words (e.g., blot) or nonwords nonhomophonous with color words (e.g., blop). • I found readers took longer to process words with irregular “spelling-to-sound rules” (e.g., pint) than words with regular rules (e.g., hint) (Bias, 1978). R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 25 The Point i • The reasons for this somewhat esoteric discourse on the psychology of reading are: – To communicate the complexity that is human information processing – The illustrate the ways scientists go about answering questions about info processing – To sensitize you to the sorts of things known about human behavior R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 26 Upcoming i • This Thursday – more presentations. • Also, remember: – Bring to class a URL showing a good and poor WEB design. (Actually, send me the URLs in advance of class – say, by 1/29/2013, midnight tonight, and I’ll have it ready to go.) R. G. Bias | School of Information | UTA 5.424 | Phone: 512 471 7046 | rbias@ischool.utexas.edu 27