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an in-situ study of mobile search and app interactions JP Carrascal, Human Media Lab [email protected] Karen Church, Yahoo Labs [email protected] Presented @ CHI 2015, Seoul, Korea
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An In-Situ Study of Mobile Search & Mobile App Interactions

Jul 17, 2015

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Page 1: An In-Situ Study of Mobile Search & Mobile App Interactions

an in-situ study of mobile search and app interactions

JP Carrascal, Human Media Lab [email protected]

Karen Church, Yahoo Labs [email protected]

Presented @ CHI 2015, Seoul, Korea

Page 2: An In-Situ Study of Mobile Search & Mobile App Interactions

Motivation

Katy Peter

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Motivation

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Motivation

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Motivation

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Motivation

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Motivation

10 minutes later...

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•  How does mobile search activity interacts with mobile app activity?

•  What are some common triggers of mobile search and actions that are commonly taken after search?

Research Question

Mobile apps

Triggers & Actions

Mobile search

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participants & method

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o  18 participants

o  Average age 32.7 (sd=9.8)

o  8 females, 10 males

o  All living in SF / Greater Bay Area

o  Diverse occupations

o  Varying levels of education: high-school to college

o  Majority of the devices were Samsung Galaxy’s

Participants

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1.  Initial Interview:

o  Asked participants about their device, their app usage, their app

arrangement patterns, their use of mobile search

o  Focused on their most recent searches, triggers and actions

2.  Installed 2 apps and ran a 2 week in-situ study (Jun-Jul 2014):

o  App logging software

§  tracked all app opens, timestamp and duration of app use

o  Yahoo prototype mobile search app (MSearch app)

§  embedded yahoo mobile search, tracked mobile sensors

o  Daily online diary

3.  Final interview:

o  Clarified any diary entries

o  Probed participants about triggers, actions and app interactions

Mixed-Method Study

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data collected

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54,022 app launches (avg 3,001.2, s = 2, 003.9).

394 unique android apps (avg of 52, s = 20.6)

> 4 hours per day using mobile apps (s = 248.2 mins).

App Usage

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882 unique queries through the MSearch app

2794 webpage visits

Mobile Search Usage

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535 Total diary entries

~20 Hours of interview data

>3000 Individual quotes

Online Diary & Interviews

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analysis

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1-hour of a participant in our study

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●  Device sessions: sequence of interactions with a device that

occur without the device going into standby mode (i.e.

displaying turning off) for >30 secs

●  App sessions: sessions that involve at least one app open/app

launch

●  Search sessions: app sessions in which the user interacted with

mobile search

●  Non-search sessions: app sessions in which the user did not

engage with mobile search

Definitions

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1-hour of a participant in our study

Non-search session

Search session Non-search sessions

… …

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Statistical analysis for app sessions

•  Two researchers categorized the logged app launches and search queries

•  Comparison of app launches between

Search and Non-search sessions Non-paired Welch’s t-tests, significance at p<0.05 •  Comparison of application launches, per-

category, before and after search activity Paired t-tests, significance at p<0.05

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Analysis of diary and interview data

Grounded-theory affinity analysis

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results

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#1 are search & non-search sessions different?

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Yes, they are different

●  Differ in number of app launches, use of unique apps

and in session duration

o  Search sessions involve > 2 times as many app launches as

non-search sessions on average

o  Search sessions involve > 2 times as many unique app

usages compared to non-search sessions

o  Search sessions are almost 4 times longer than non-search

sessions in terms of duration

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#2 how do they differ?

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Search vs. Non-Search: Categories

Several app categories were used more intensively when people engaged with mobile search, both in terms of app launches and duration of app usage (apps categories with the highest differences shown)

Browsers

Games

Tools & Utilities

Social Networks

SMS / Texting

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app use before & after mobile search...

#3

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Apps Before & After Search

Several categories of apps are launched significantly more

frequently after mobile search (top 5 categories shown)

Browsers

Email

Tools & Utilities

Photography

Games

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#4 triggers

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Identified 6 Mobile Search Triggers

2 broad categories o  External: sensory stimuli

o  Internal: connected with our thoughts, emotions, body, or habits.

●  4 External triggers

o  Media: e.g. watching tv, listening to music, reading a newspaper;

o  Conversations: face to face as well as in apps;

o  Tangible: noticing something material in physical surroundings;

o  Activities & Events: e.g. 4 July, doing something, etc.

●  2 Internal triggers

o  Physiological: signals like hungry, stress, etc.

o  State of Mind: e.g. random thoughts.

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How app interactions trigger search?

Manual inspection of data showed interesting

connections between app launches and succeeding

mobile search queries (anecdotal)

Closer Hollywood sign

BCBG Generation Jelly Thong Sandals

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#5

post-search actions

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Identified 9 Post Mobile-Search Actions

●  9 actions that take place as result of mobile search

o  Consuming content, e.g. watching, reading, listening

o  Sharing information/content

o  Keeping information (digitally, physical notes, mental notes)

o  Buying goods/services

o  Booking something

o  Visiting somewhere

o  Contacting a person, business or place

o  Making/doing, e.g. trying a recipe

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How search actions map to app usage?

P2: “I called store and confirmed they have what I’m looking for and will

stop by after work Tuesday to buy the item”.

(Contacting)

P1: “I posted the picture of a Mohawk warrior on Facebook.”

(Sharing)

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#5 complex switching between apps...

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App switching to buy tickets….

P8: “I will actually go to Ticketmaster, see the price and then open up another window or another Groupon like that and then if I get one [groupon code], I'll copy it. Get out of there and go back to Ticketmaster to where it usually has a little icon where it says you can enter a coupon code, so paste it.”

Search for tickets

Check for deals

Copy+paste

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App switching to share results….

P6: “Voxer is her favorite, and so, she had me sign up for Voxer so that she can communicate with me, which is actually kind of cool because while I'm searching for stuff, we can talk back and forth or we could text or we can send pictures between us”

P6: “I will give her the information and she'll look at it, and then she'll text me something back and then we'll both look at it, so we were just going back and forth with ideas”

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implications

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(1) Task Completion

●  Overarching theme is task completion, e.g. buying

concert tickets, going to a beach with family,

involving the use of several apps

●  Participants used multiple information sources & take

common post-search actions

●  Scope for search engines to take app interactions into

account

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(2) Sharing

●  Search is frequently conducted collaboratively with

loved ones and family

●  Sharing is required in order to make joint decisions

and purchases

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(3) Keeping

●  Users need to take notes and/or keep track of their

search results

●  Including mental and written notes, digital notes,

screenshots and bookmarking

●  In some cases keeping was done for the individual

but in many cases it was done for others

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(4) Looking beyond sessions

●  Searches can span multiple sessions to address a given

need, and these sessions can span differing hours, days,

weeks, etc.

●  Especially when searching for bigger events like buying a

car or planning a vacation.

●  These tasks take more time and involve more research

before a decision is made.

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Summary

There is a need for more collaborative, shared mobile

search that supports joint note-taking & bookmarking,

and variable time frame search activity.

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●  Interesting to gather similar data for a longer time period and

with more users to determine if such patterns could be mined to

provide predictive mobile search capabilities.

o  Perhaps the probability of issuing certain queries is higher after using

certain types of apps?

o  Likewise probably of using certain apps is higher after engaging with

different types of mobile search interactions.

o  If such probabilities can be detected, future mobile search could pre-empt

these behaviors and offer more proactive search experiences.

o  Essentially supporting users in task continuation and task completion.

●  Future work should focus on cross-session and cross device

interactions

Future work

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Thank you! Questions?

JP Carrascal, Human Media Lab [email protected]

Karen Church, Yahoo Labs [email protected]