Embed Size (px)
DESCRIPTION
Little is known about the navigation tactics employed by screen reader users when they face problematic situations on the Web. Understanding how these tactics are operationalised and knowing the situations that bring about such tactics paves the way towards modeling navigation behaviour. Modeling the navigation of users is of utmost importance as it allows not only to predict interactive behaviour, but also to assess the appropriateness of the content in a link, the information architecture of a site and the design of a web page. Current navigation models do not consider the extreme adaptations, namely coping tactics, that screen reader users undergo on the Web. Consequently, their prediction power is lessened and coping tactics are mistakenly considered outlying behaviours. We draw from existing navigation models for sighted users to suggest the incorporation of emerging behaviours in navigation models for screen reader users. To do so, we identify the navigation coping tactics screen reader users exhibit on the Web, including deliberately clicking on low scented links, escaping from useless or inaccessible content and backtracking to a shelter. Our findings suggest that, especially in problematic situations, navigation is not driven by information scent or utility, but by the need of increasing autonomy and the need of escaping from the current web patch.
Citation preview
Challenging Information Foraging Theory: Screen Reader Users are not Always Driven by Information Scent
24th ACM Conference on Hypertext and Social Media Hypertext 2013
Markel Vigo1 & Simon Harper2 University of Manchester (UK)
1: @markelvigo2: @sharpic
[email protected]@manchester.ac.uk
http://dx.doi.org/10.6084/m9.figshare.695073
Problem
• We do not know all the navigation tactics employed by screen reader users
• Key to build navigation models
• Lack of navigation models for screen reader users
ACM Hypertext 20132 May 2013 2
Goal
• Bridge the gap on the lack of knowledge on navigation tactics
• Survey existing navigation models (for sighted user)
• Inform navigation models to make robust models
• Consider coping strategies
ACM Hypertext 20132 May 2013 3
Navigation models
• High certainty about a constrained universe
• Predict user behaviour
• Interaction models: GOMS, KLM
• Evaluation of interfaces
• Often used in research settings
ACM Hypertext 20132 May 2013 4
Navigation models
• Built on Information Foraging Theory (IFT)– Web page ≈ information patch– User ≈ consumer
• Link selection=
• Information scent (IS) measures the relevance of proximal cues that lead towards distal goals
ACM Hypertext 20132 May 2013 5
Navigation models
• Models for sighted user differ on– The conceptualisation of information scent– On the strategy for page reading
• Few empirical studies are based on link selection or navigation strategies
• Low predictive power
ACM Hypertext 20132 May 2013 6
Who are screen reader users
• Blind users
• Low vision users
• Potentially generalisable to users of auditory interfaces:– Applications on the move: car, walking, cycling– Situationally disabled users
ACM Hypertext 20132 May 2013 7
How do screen readers navigate
• What do we know so far?
• Behaviours occurring on ideal situations
• How is the navigation when encountering:– Accessibility barriers– Design issues– Usability problems
ACM Hypertext 20132 May 2013 8
Stereotypical behaviours
ACM Hypertext 20132 May 2013
1. Miscellaneous top links
2. Mast header
4. Main content
5. Banner
3. Primarynavigation links
6. 2ndarynavigation links
7. Footer
8. Miscellaneous bottom links
1. Miscellaneous top links
2. Mast header
3. Primary navigation links
4. Main content
1. Miscellaneous top links
2. Mast header
3. Primary navigation links
4. Main content
(a) Listening to content (b) Exhaustive scanning
9
Stereotypical behaviours
ACM Hypertext 20132 May 2013
1. Miscellaneous top links
2. Mast header
4. Main content
5. Banner
3. Primarynavigation links
6. 2ndarynavigation links
7. Footer
8. Miscellaneous bottom links
H
1. Miscellaneous top links
2. Mast header
3. Primary navigation links
4. Main content
(d) Information scent driven gambling scanning: headings navigation
H
H
H
H
H1. Miscellaneous top links
2. Mast header
3. Primary navigation links
4. Main content
(c) Gambling scanning: skip line navigation
skip 6 lines
skip 5 lines
skip 5 lines
skip 5 lines
10
Analysis of coping tactics
• Secondary analysis of 2 user studies– Ethnographic longitudinal– User test
• 17 users
• Isolated 9 coping tactics grouped by– Link selection tactics– Exploration tactics– Navigation tactics
ACM Hypertext 20132 May 2013 11
Link selection tactics
T1: Deliberately clicking on low scented links
• Accessibility problems:– “I'm just going to click on one of these
things, I don’t know what it is for ”
• Information overload:– “when I was listening I heard the target
link... you can have 30 or 230 links that you have to sit and listen to! ”
ACM Hypertext 20132 May 2013 12
Link selection tactics
T2: Clicking on any link
• When coming across unexpected functionalities or content– On a linked keyword search where search
box expected: “does not tell me where to do this ”
– On a SERP that did not contain expected results: “found a few links, none directly what I want ”
ACM Hypertext 20132 May 2013 13
Intra-page exploration tactics
T3: Escaping from useless or inaccessible content by tabbing down
T4: Fast tab/arrow down the page without completely listening to content
– By default– On familiar pages– On content arranged according to some
criterion
ACM Hypertext 20132 May 2013 14
Intra-page exploration tactics
T5: Gaining orientation
• By going to the top of the page – “not sure where I am...if in doubt go back
to the beginning ”
• Users pay more attention in the second reading
ACM Hypertext 20132 May 2013 15
Inter-page navigation tactics
T6: Backtracking to a shelter
• When user mobility is reduced – Getting stuck: “I seem to have come to a
dead end here”– Looping behaviours: “I’ve got back to
shorts again...shorts again!”
ACM Hypertext 20132 May 2013 16
Inter-page navigation tactics
T7: Re-checking
• Fast revisitations as reassurance mechanisms
T8: Retracing
• Users retrace their steps from a shelter
ACM Hypertext 20132 May 2013 17
Withdrawal
T9: Giving up
• Provoked by sequence of failures and unsuccessful interactions.
• Observed on users who navigate with trouble and encounter an obstacle different to ones experienced.
• E.g.: encountering accessibility barriers after escaping from a loop of pages
ACM Hypertext 20132 May 2013 18
Implications
Informing navigation models
• Navigation models for sighted users mimic screen reader user behaviour in ordinary circumstances
• To cover extraordinary circumstances minor modifications are needed:– Gaining orientation (T5)– Re-tracing (T8)
ACM Hypertext 20132 May 2013 19
ImplicationsChallenging established conceptions
• In ordinary circumstances IS is a reliable indicator
• In extraordinary circumstances users are not driven by IS but escape from problems– Click on low scented (t1) or any link (t2)– Fast tabbing down (t3, t4)– Backtracking to a shelter (t6)
ACM Hypertext 20132 May 2013 20
ImplicationsChallenging established conceptions
• IFT: a hyperlink will be selected when the tradeoff between information gaining and cost of accessing is low
• SR users: cost of accessing is minimised at the expenses of gaining low quality information
• Alternatively, SR users have low satisficing levels: any web patch is good enough
ACM Hypertext 20132 May 2013 21
ImplicationsChallenging established conceptions
• This behaviour reminds of that of animals making risk-sensitive foraging decisions– Risk prone individuals: those undergoing
extreme situations take the risk of selecting low scented link (t1,t2)
– Risk averse individuals: less severe problems take a more conservative strategy by moving to another web patch (t3, t4, t6)
ACM Hypertext 20132 May 2013 22
ImplicationsChallenging established conceptions
• IFT: users leave a website when the scent of the current page is below the average of the pages visited
• SR users give up after overcoming a number of problematic interactions
• We have 2 thresholds: information scent and frustration threshold
ACM Hypertext 20132 May 2013 23
Follow up
2 May 2013 24
Contact@markelvigo | [email protected]
Presentation DOIhttp://dx.doi.org/10.6084/m9.figshare.695073
Datasetshttp://wel-data.cs.manchester.ac.uk/investigations/2
24th ACM Conference on Hypertext and Social Media Hypertext 2013
![Evolution of sustained foraging in three-dimensional ... · concepts are the bacterial foraging optimization algorithm (BFOA) [18], and artificial bee colony (ABC)[19]. Information](https://img.dokumen.tips/doc/110x75/602f7045505a0833176355a6/evolution-of-sustained-foraging-in-three-dimensional-concepts-are-the-bacterial.jpg)
