Places for News: an exploration of context and situated methods
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Transcript of Places for News: an exploration of context and situated methods
Places for NewsAn exploration of context and situated methods
Yuval CohenHCI-E MSc 2014/15
University College London
@cyuvalc [email protected] www.yuval.io
PremiseWhat is context?
Location
Identifiable Objects
Connectivity
What is it used for?
Customised content: topic, location
Offline reading
Sharing: direct, social networksDey (2001), Understanding and Using Context
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PremiseWhat’s missing?
Qualitative and experiential factors
Interface and format adaptability
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Goals & Research QuestionsResearch Question 1:
What are the experiential factors that affect news consumption? (individual, social, cultural)
Research Question 2:
What is the effect of such factors on user behaviour and consumption habits?
Exploratory research
Identify factors
Explore methods
Propose future directions
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Related WorkSituated Studies News Consumption
Context: informational vs. experiential
Dourish (2001, 2004)
Situated action: behaviour in changing circumstances
Suchman (1987)
Participant-reported data: diaries, experience sampling, interviews
Hektner (2007), Carter & Mankoff (2005)
Mobility: isolation in public, space appropriation
Augé (1995), Harrison & Dourish (1996)
Industry research: tech. platforms, devices, brands
Reuters (2014, 2015), Ofcom (2015)
User needs: information needs, mobile vs. desktop
Church (2011, 2014), Dimmick (2011)
Profiling: frequency, amount, speed
Carreira (2004), Constantinides (2015)
Adaptivity: content that matches use habits
Carreira (2004), Billsus & Pazzani (1999, 2007)
?
MethodsAutoethnography Bg. Interviews+
Initial taxonomy of factors, data collection tool
Tools
Note-taking
Notifications (researcher-initiated)
Offline editing Offline editing
Task-oriented view Task-oriented view
Notifications (researcher-initiated)
Note-taking
✗
✓
✓
✓
✓
✓
✓
✓
✗
Logos are copyrights of their respective owners: 6 Wunderkinder GmbH and Evernote, LLC
MethodsAutoethnography Bg. Interviews+
Initial taxonomy of factors, data collection tool
Participants
17Participants
Recruitment:Facebook/Twitter Notice boards Word of mouth
Remuneration£10/participant £50 Amazon voucher draw
All participants UK residents:18% London 82% elsewhere
Ages 22-47 (M=30, SD=8)
Student vs. Professional35% professionals (6 Ps) 65% students (11 Ps)
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Methods
Diary Questions (targeted)
Morning
Night
Notification 1
Notification 2
Situated Study
Contextual factors, behaviour patterns, habits
Post-study
Semi-structured Interviews
Demographic data
Targeted context-related Qs (situated data as cue)
Methodology evaluation
Snippets
Event-based ESMBrandt et al. (2007)
(two weeks)
Question DeliveryResearcher
Participant
ResultsTriggers Pos. / Conducive Neg. / Distracting
Barriers Classifications are arbitrary and can overlap:Affective state - news consumption spectrum
Interest/engrossment tradeoff
“I'll be listening for keywords, cues […] scan back and forth intermittently, based on how engrossed I am”
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Break from study or work
Notifications and widgets
Media multitasking
Morning habit
‘Me time’
News overload
Kinetosis (motion sickness)
Alertness and mood
Background activity
Connectivity
Small display
Multitasking
ResultsSituated Methods Wunderlist
✓ ✓14 of 17Participated for the entire length of the studyOne participant completed less then 50% of the study
Task-oriented interface (‘checking-off’ questions)
Low participation burden: consensus among participants
Notifications and Android widget = reminders
Offline editing and sync (not used by all participants)
Few technical issues with installation, routine use
Event-based snippet completion – as designed
ResultsSituated Methods
✗ Response aggregation:
Completing snippets and diaries at the same time
Completing snippets and/or diaries the following day(s)
ResultsWunderlist
✗ Participants:
Multiple fields for data entry
Researcher:
Scalability: large number of participants requires manual entry
Qs and As were not always simultaneously visible
Conclusions
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Context is more than location and connectivity
Experiential factors affect the way in which users consume news. They trigger, prevent and alter consumption habits.
News consumption serves momentary needs
Contextual factors constantly change, even within a given situation, often as a result of other contextual factors.
News consumption is opportunistic
Participants created their own consumption opportunities. Physical location matters, but it is not a determinant – users appropriate spaces for news consumption.
“It doesn’t matter where you are, it matters what the situation is”
“Reading is the distraction”
“My mood, […] stress in my life, how tired I am […] all play a part”
Conclusions
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Choice of methodology and tools = effectiveness
Each method provided a unique view of participants’ worlds. Triangulating the data painted a broad picture of context, habits and preferences.
Method implementation – key to low burden
Using 4 methods created potential for participation burden. Implementation was key for lowering it.
Event-based response, availability on a mobile device, phrasing of questions, providing support to participants – all contributed to perception of low burden
“Wunderlist was actually one of the easier ones I've done”
“I think it helped focus on short concise answers”
“Just the general format – ease of getting on, ease of updating, ease of just checking off that I've done it – all that was better”
Future ResearchMeasurability and Profiling
Add an experiential layer to current classification models of news consumption habits
Context
Further exploration of experiential factors in news consumption – contrast, add to or expand upon current findings
Appropriating for Data CollectionAdaptive Interfaces
Further implement and test appropriated data collection tools (additional populations?)
Create adaptive news (and media) consumption interfaces that adapt to changing use contexts
Focus: customisability and scalability (e.g. use of APIs)
Challenge: determine which factors are appropriate for use
Thank YouThis presentation is available at:
bit.ly/newsplaces
Special thanks to: Paul Marshall, Marios Constantinides, Joanne Moore, Jiri Jerabek
@cyuvalc [email protected] www.yuval.io