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Managerial CommunicationFour Questions
• Is there a standard pattern to managerial work?• What causes this pattern of work?• Can you improve how they work?• How can you support it at a distance?
Outline
Pattern of managerial
communication
Functional?
Support at a distance
Remediate
Y N
How do managers spend their time?
• In talk • Cumulatively with lots of others• Talk with peers & subordinates, not boss• Meetings are frequently small, informal, and
spontaneous• In fragmented activities
• Multiple tasks per day• Each task gets a small slice of attention at a time• Pattern is accentuated for senior managers
Time allocation among different managers (1980s & 1990s)
Medium (% of day) Average CEOCollege
presidentMiddle
managerMiddle
managerSchool
principal
Elementary school
principalScheduled face-to-face 27.8 35 34 10 34 26Unscheduled face-to-face 37.4 32 26 55 34 40Phone 8.8 6 6 9 13 10Total verbal 75.0 78 75 66 74 81 76Alone 25.0 22 25 34 26 19 24
Participants (% interactions)Subordinates 54.6 48 52 37 66 70Larger organization 18.8 7 8 52 21 6Peers & public 26.4 45 40 11 12 24
RhythmWork hours 45.4 44 52 42 44 45% of inteactions with 1 person 50.2 48 47 32 25 60 89# verbal contacts/day 15
Tasks per day
Interactants per day
% day in communication
0 10 20 30 40 50 60 70 80 90
Senior MgmtOther
Face-to-face
Phone
Other communication
Solitary work
0 2 4 6 8 10 12 14 16
Senior MgmtOther
Tasks on stack
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5
Senior Mgmt
Other
• Days are filled with people and interlocking tasks
• Each episode gets a few minutes
• Tasks are accomplished in small chunks
• Senior managers have more demands, but shorter attention spans
Minutes per episodes
OtherSenior
Phone Company Execs, 1990
IBM Managers, 2002
• Time-sampling method
• Face-to-face communication ~50% of time
• Unplanned ~40% of communication time – Planning increases
with number of participants
– With managerial level
IT & Financial Consultants 2004Gonzalez & Marks
Time spent in desk vs communication work~ 48% of work day in communication
Average time per episode before switch in form or substance
• ~ 48% of work day in communication• 2/3s in verbal communication• Short work episodes
Interrupted
• > 50% of all task externally interrupted• Average time on task 3-11 minutes
Q: Does this pattern of communication serve a purpose?• Lots of communication• Many partners, especially peers & reportees• Spontaneous communication• Preference for face-to-face & interactive communication• Short episodes of communication & work, with lots of interruptions
• Functional explanations• Based on the evolution-like assumption that common behaviors are
retained because they benefit the person/organization exhibiting them
• Mechanistic explanations• Identify the underlying mechanisms that produce the pattern• No assumption of beneficial outcomes
What causes this pattern?Is it functional or dysfunctional?
Functions of “Informal Communication”
Mintzberg: Debunking the traditional view of managerial work
• Myth: Manager as systematic, analytic planner– Reality: Works in short time blocks, time pressured, responding to
problems, in communication
• Myth: Delegates & oversee, rather than works– Reality: Many ritual & regular duties, responding to crises
• Myth: Uses abstract, aggregate data to see “big picture”– Reality: Strong preference for verbal media over documents– ad hoc
meetings, phone calls, meetings
• Myth: “Scientific management” exists– Reality: Management is still highly craft-based and intuitive
Managerial work
• Functions– Plan– Organize– Coordinate– Decide– Control
• Roles– Interpersonal
• Figurehead• Leader• Liaison
– Informational• Nerve center• Disseminator• Spokesperson
– Decisional• Entrepreneur• Dispute resolver• Resource allocater• Negotiator
COMMUNICATION IS ESSENTIAL TO ALL
FUNCTIONS & ROLES
Functional: Benefits from this type of communication
• Informal communication – Helps managers do environmental scanning, get info from lots of
sources, predigested, just in time decision making, incrementally shaping organization (nudging) towards larger plan
– Provides managers with fresh information to deal with uncertain tasks– Allows managers to fulfill communication roles– Gives managers better quality communication
• Interactivity for common ground• Visual elements for focus on work objects• Rich media for complex, equivocal, & ambiguous communication
tasks (?)
• Examples of informal workplace communication
Can you support this type of communication at a distance?
• What kind of communication do you need?• What kind of information do you need?• How do you provide it?
Can you support this type of communication at a distance?
• Three video based systems:– Cruiser
– VideoWindow
– Montage
• Alternate technologies– IM (interaction & outeraction)
– Virtual team rooms
What are the problems with this style of communication?
Possible problems
• Interruption costs & switching costs– Too little time for sustained analysis & decision making
– http://interruptions.net/
• Opportunistic communication – Over exposure to local partners
– Importance of communication not a criteria
• Managerial communication needs lead to communication burden on individual workers
Interruptions
• O'Conaill and Frohlich (1995). – 29 hours of shadowing of two managers– 125 interruptions - unscheduled, synchronous interactions
taking recipient away from current task• Every 13.9 minutes• 80% face-to-face, 20% by phone
– Interrupter benefits more than recipient– Recipient often fails to return to ongoing task
Interruptions II Tétard (2002)
Length of Interruption
26%
18%
12%8% 8% 8% 8%
3% 3% 3% 3% 3%
0%5%
10%15%20%25%30%
Time for recovery after interruption
47%
39%
4%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
0-5 min 5-15 min 15-30 min
Reason for Interruption
30%
16%
8%
26%
0%
5%
10%
15%
20%
25%
30%
35%
Ask for advice Social interaction Docum entationissues
Organnisationalissues
Impact of Interruption
20%
15%
42%
8%
32%
0%5%
10%15%20%25%30%35%40%45%
Promoteslearning
Promotessocial
interaction
Disturbed myconcentration
Not part of mywork
Delayed mywork
• Managers at 6 firms in 1999 each describe 5 interruptions
Perlow (1999): Time FamineResearch Methods
• Multiple methods– Participant observation– Interviews– Shadowing– Diaries: Beeper-Report activities in last hour
Perlow (1999): Mechanistic
Perlow’s explanation• Managers (and engineers) need to communicate for organizational success• But also need solo work time Engineers think interrupts are helpful to the organization, but get in the way of “real” (i.e.,
technical) work
• Failure of synchronization• A particular communication is likely to be more beneficial to the initiator than the recipient• Initiator knows own current need, but not recipient’s state• Initiator schedules communication to fit own schedule• Much communication is opportunistic
• Coordination failures compounded by “heroic culture”• Best performers work 80-100/hrs weeks
• Engineers spent 60% of time in solo work• Short bursts, interrupted with interactions• 60% < hour long• 25% < 30 minutes long
What do you recommend to improve managerial communication?
• To handle the tension between spontaneous, informal communication vs. need for sustained periods of concentration
Perlow: One Attempt to Fix This Problem
• Concentrated “quiet time” gave impression of improved efficiency– Phase 1: Quiet morning vs interactive afternoons– Phase 2: Quiet 11-2– Phase 1: Quiet morning vs interactive afternoons
• Engineers report ~ 50% productivity gains• Gains evaporated as organizational culture reasserted itself
• Why?
Will Email Help? Shift from immediate to asynchronous interaction
• Trade-offs btw information delays & interruption
Control is Only Hypothetical
• Email is only slightly less interruptive than face-to-face or phone interaction
– Study of 16 employees for 160 hours using Outlook– Software checks new mail every 5 minutes & had alerts
• Employees respond to 70% of new msgs < 6 sec and 85% in < 2 minutes of arriving
• Disruptions of work (time to return to prior task) 64s– Less than 15 min disruption– Differ by worker type
Jackson, T., Dawson, R., & Wilson, D. (2003). Reducing the effect of email interruptions on employees. International Journal of Information Management, 23, 55-65.
Pricing Communication as Coordination Mechanism
• Interruptions typical benefit interrupter over interruptee• Pricing encourages sender, who knows the content, to evaluate
a message.• For receive, price serves as
– Signal — “Is the message worth my time?”– Incentive to communication
Email Pricing Examined in Lab Experiments & Field Trials
• Serio.com offers a virtual economy for email
– Users get 100 ‘serios’ per week – Senders can place value on
particular msg they send
Sender: Pricing a msg Receiver: Sorting by price
Results of 11 Week Field Trial
• 26 people in a single department
• Serios influenced speed of attending: < 1-9 serios 37 min
> 20 serios 20 min
No serios 28 min
Attention Costs of Pricing Mail
• Fix priced email may make it easier to figure out whether reading is worth the time
• Subjects play a memory game & can send mail to others to get help– No market– Variable priced market
• Send sets an arbitrary ‘bids’ for help• Receive sets an arbitrary reservation price• Help exchanged if bid >= reservation price
– Fixed priced market• Send pays $.20 for help• Receivers get $.20 for giving help• Help exchanged if sender asks and receiver agrees
Game Interface
No market
Variable market
Fixed market
Everyone Wins With Fixed Market
• People ask for less help, but more requests are honored
• Earnings– Markets > No market– Fix market > Variable market
EXTRAS
Voluntary Regulation: Letting Interrupters Know When Interruptee is Busy
• Can we predict whether someone is interruptable?
Wizard of Oz Interruption Study Fogarty, Hudson, Forlizzi, Kiesler, Atkeson, Yang, Lee, & Avrahami
• Person passing by can quickly judge whether “Now is a bad time”
• Current interfaces & communication devices are blind to this human context– End up being “rude”
• Can we judge interruptibility with sensors in the room?– How (what predicts)?– How simple can we get away with?
• Wizard of Oz study to find out
The Study• Long term audio
and video recording in a space
• After the fact, human “plays sensor” – Code for 27 simulated sensor values
• Experience sampling to get estimate of current interruptibility– Audio prompt averaging every ½ hour– “How interruptible are you on a scale of 1 to 5?”
• Machine learning techniques to build predictive models
Study Data
• 4 Subjects in office (similar job function)• 602 hours of video, 672 samples• 51 hours of simulated sensor values
– 5 minutes prior to each interruption
0.0%
10.0%
20.0%
30.0%
40.0%
Most Least
Interruptibility
Try to predict least interruptible via
machine learning
Can We Predict – Yes!
• 82.4% prediction of least interruptible state (68.0% baserate)
• Equivalent results via 2 different models
• Better than human observers (76.9% accurate)
Can it be Simple – Yes!
With just 5 simple sensors:• “Someone is talking” • Phone off hook• Keyboard activity• Mouse activity• Time of day
we get 79.2% (statistically equivalent to people)
Interesting fact:
Almost all the result comes from this one
sensor (~75%)
Replication in corporate research
• Three classes of subjects: Managers, researcher/programmers & summer interns
• Sensors: – Computer & room mike anyone talking?– Door position: open, cracked, closed– Phone off-hook– Keyboard, mouse move & mouse clicks– Title, type & name of active window
Results
Phone off-hookTalking> 30 mouse moves
Talking> 60 mouse moves in visual studio (programming)> 60 characters types interruptible
Eclipse programmingMotion detector firingguest in roomLong talking
Does This Reduce Interruptions?
• Fogarty et al MyVine for modeling availability
• Deployed at IBM, 16 people, 4 weeks• User “hovered” to find someones
availability ~ once every 20 min– More common when partner was
‘moderately available’ MyVine showing availability
MyVine suggesting communication channels
• Participants didn’t seem to respect availability when phoning, but did with IM (Urgency?)
• ‘Hovers’ showing partner talking did not deter conversation
MyVine Only Partially Regulated Communication
Pricing Communication as Coordination Mechanism
• Interruptions typical benefit interrupter over interruptee• Pricing encourages sender, who knows the content, to evaluate
a message.• For receive, price serves as
– Signal — “Is the message worth my time?”– Incentive to communication
Email Pricing Examined in Lab Experiments & Field Trials
• Serio.com offers a virtual economy for email
– Users get 100 ‘serios’ per week – Senders can place value on
particular msg they send
Sender: Pricing a msg Receiver: Sorting by price
Results of 11 Week Field Trial
• 26 people in a single department
• Serios influenced speed of attending: < 1-9 serios 37 min
> 20 serios 20 min
No serios 28 min
Attention Costs of Pricing Mail• Fix priced email may make it easier to figure out whether
reading is worth the time• Subjects play a memory game & can send mail to others to
get help– No market– Variable priced market
• Send sets an arbitrary ‘bids’ for help• Receive sets an arbitrary reservation price• Help exchanged if bid >= reservation price
– Fixed priced market• Send pays $.20 for help• Receivers get $.20 for giving help• Help exchanged if sender asks and receiver agrees
Game Interface
No market
Variable market
Fixed market
Everyone Wins With Fixed Market• People ask for less help, but more
requests are honored
• Earnings– Markets > No market– Fix market > Variable market
Extra
Displays for Peripheral Awareness Laura Dabbish & Robert Kraut
• Can one support spontaneous, interaction at a distance, while minimizing disruption?
• Consider help requests– Can a requester get help, while minimizing impact on the
helper?– Investigate impact of displays and motivation on joint
performance • Hypothesis: Requesters will time interruptions to be
least disruptive if:– Have motivation to consider partner's well-being (e.g.,
team identity) – Have information that tells them about a recipient’s
workload• But too much information in a display will distract the
interrupter
Asker: Tries to guess a puzzle & asks helper for hint
Helper: Tries to save jumpers. Is interrupted when Askers asks for hint.
Asker Helper
Send
Type your question
Does it have four legs?
Asker Helper
Question from other player
Does it have four legs?
[ Yes ] [ No ] [ ? ]
Vary Information Displays
Abstract Feedback
No Feedback
Full Feedback
Vary Team Identity
• Team– Joint Rewards– Common identity through
team name, jersey
• Solo– Individual Rewards– No common identity
Displays Regulate Interruptions• Probability of Asker
sending question when jumpers were on Helper's screen
• Askers sent fewer questions in team condition
• No interaction of display with team identity on – Number of questions
asked – Timing of questions 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
None Abstract Full
Pro
bab
ilit
y o
f se
nd
ing
a q
ues
tio
n
Helper’s performance improved when asker had displays
• Displays– Reduced number of
questions asked
– Appropriate timing of questions
66
67
68
69
70
71
72
73
74
None Abstract Full65
66
67
68
69
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None Abstract Full
pe
rce
nt
sa
ve
d
Display Condition
Study 2: Display are more effective when subjects are on the same team
20
25
30
35
40
45
50
55
60
65
70
None Abstract Full
Per
cen
t Ju
mp
ers
Sav
ed
Non-team
Team
1
1.2
1.4
1.6
1.8
2
2.2
None Abstract FullJu
mp
ers
on
sc
ree
n w
he
n q
ue
sti
on
se
nt
Independent
Team
Too Much Information Harmed the Asker
• Asker took longer to complete puzzle with full information display
• Best joint performance (askers + helper) with an abstract display
100
105
110
115
120
125
No Info Abstract Info Full Info
Tim
e T
o C
om
ple
te P
uzz
le (
se
c)
Display Condition
Eye-tracking shows whether displays capture attention
Higher Fidelity Display Requires More Visual Attention
0
5
10
15
20
25
30
No info Abstractinfo
Full info
% Ti
me V
iewi
ng D
ispl
ay
• Askers spent over twice as long looking at full vs. abstract information display (p <0.001)
• Askers reduced time attending to primary task and formulating questions
Display Condition
How to construct the display?
• Experiment suggested that an appropriate display about partner’s interruptibility could improve joint performance
• Is it feasible to measure interruptibility with technology?
Overview
• Substance
• Managers (more so than scientist & other professionals) spend their time in talk
• Talk supports frequent, interactive & rich communication
consistent with managerial and collaborative tasks
• Physical proximity is the medium for this type of
communication
• Proximity has major influences on communication patterns
and outcomes
• Discussion
• Why does this occur?
• How can you improve on managerial work practice?
• Can you/should you enable this pattern for distributed work?
Focus of attention• Use letters to shareholders to infer managerial focus of attention• Track letters for 5 year prior to a bankruptcy & compare matched bankrupt
and successful firms• Relative to successful firms, bankrupt firms
– Shift attention away from to internal factors– Shift environment factors from demand factors to input factors
0.00
0.05
0.10
0.15
0.20
0.25
0.30
12345
bankruptcy-output
bamkruptcy-input
bakruptcy-Internal
success-output
success-input
success-internal
•Rationalistic:
•Plan
•Organize
•Coordinate
•Control
•Leader
•Set direction - challenging, but doable
•Align employees & stakeholders
•Motivate people
Traditional views of management
•Leader
•Liaison
•Scanner
•Disseminator
•Fire fighter
•Resource allocator
•Negotiator
•Decider
Managerial roles based on communication
TaskUncertainty/Equivocality
Media richness
Low
High
Low High
++ --
++--
Reports Email Phone Face/face
Low High
Functional: Benefits from this type of communication
• Timeliness of communication• Each episode of communication is
improved– Interactivity for common ground– Visual elements for focus on work
objects– Rich media for complex, equivocal, &
ambiguous communication tasks (?)
• Possible problems– Opportunistic communication =>
• Over exposure to local partners• Importance of communication not a
criteria• Interruption costs• Switching costs
When are “rich media” valuable?• Richness is probably the wrong concept.• Media can be broken down into potentially important features
• Intrinsic
• Amount of information (multiplicity of cues)
• Interactivity
• By convention
• E.g., Difference btw email and instant messaging
Dennis & Kinney (ISR,1998)
• Lab experiment varying equivocality & media richness– Equivocality:
• High equivocality : Undergrad admissions problem, witharguments about weighting SATs,
GPA, extracurricular activities, jobs, residency,
etc.• Low equivocality: SAT problem solving questions
– Richness:• Immediate feedback: Full duplex vs. half-duplex
audio/video Chat vs. email
• Multiplicity of cues: Full duplex audio/video vs. chat Half-duplex audio/video vs. email
– Outcomes: Time, Consensus, Decision quality, Satisfaction
Results
0 10 20 30 40
Full DupA/V
Half DupA/V
Chat
Minutes to completion
Lo EquivHi Equiv
• No effects on decision quality
• No effects on consensus• No effects on
communication satisfaction• Interaction between
multiplicity of cues & equivocality on completion time, but inconsistent with theory
• Multiple 2-person referential communication
tasks
• Common results:
• Voice speeds solutions
•Faster times•More turns•More words
• Visual channel doesn't help (in a
talking head set-up)
Solution time0
10
20
30
40
50
60
70
Face to face
Voice
Writing
Typing
Solution time0
5
10
15
20
25
30
35
VoiceVoice+videoWritingWriting+videoTypingTyping+video
(fm Chapanis, 1972)
Interactivity consistently helps
Managerial social networks• Communication primarily with subordinates, peers & outsiders, not
boss• Manager as liaison & gatekeeper
– By virtue of position (representing organization) and personal attributes, manager is more likely than others to be group gatekeeper for information
– Importance of communication with outside constituencies• Customers, suppliers, rivals, community leaders, etc.• Failure to maintain strong communication with external environment is
associated with group and organizational failure• Smith et al data: More frequent & informal communication internal to
the group is associated with lower firm performance (sales growth & ROI)
• Crisis can be associated with withdrawal from external communication
IBM Managers’ Assessment of Interrupt-driven Nature of their Work
• Perceived benefits
• [It’s] useful to be open to interruption to – in an informal way – pick up information or be able to make a connection that you wouldn’t have otherwise. Often [the] more relaxed or offhand way… can be more effective than setting up an appointment.
• Being flexible enough to respond and respond quickly to certain kinds of interruption, I find to be useful in getting things done.
• One [benefit of interruption] is so that I don’t have such a short-term memory load. I can deal with something now and not have to deal with it later.
• I have sort of come to rely on interrupts. If I’m not being interrupted, I don’t know what to do. I have to generate an internal interrupt of some sort to get me going.
• Interruption management
• Either my door is open, in which case I’m available, or it’s closed, in which case I’m not there.
• I can’t tell you how many degrees of door openness or closeness there are, but there are many degrees. And people generally interpret those fairly well.
• If someone decides not to bug me [not only] will I not know that in most cases, but I might disagree with their decision. In fact, I know this. I know that there are times when people did not tell me about this thing or the other thing because they said, “Well, your door was closed. I didn’t want to interrupt you.” And, I very strongly disagreed and was unhappy about that decision.
• It’s like reaching for the chocolate or potato chips you’re not supposed to have. I just don’t have enough willpower to stop myself from reaching for [the email] and seeing what it is.
Informal communication
Formal Informal
• Scheduled in advance • Arranged participants • Participants in role • Preset agenda • One-way • Impoverished content • Formal language & speech register
• Unscheduled • Random participants • Participants out of role • Unarranged agenda • Interactive • Rich content • Informal language & speech register
Methods
• People grossly misestimate how they spend their time– Over-report important activities and longer time blocks
– Under-report mundane and short activities
• More accurate measures through:– Shadowing
– Time diaries: Recording as events unfold or with a short recall. Use temporal cues (What did you do next)
– Instrumentation & random sampling (Experience Sampling Method)
Craft (landscape
gardening)
Non routine (strategic
planning)
Engineering(Law,
accounting)
Routine (Sales)
Variety
Analyz-ability
-
+
- +
Mostly mechanistic(Moderate formalization;
moderate centralization; formal
training; moderate span; written
& oral communication)
MechanisticHigh formalization; high
centralization; little training;
wide span; vertical, written
communication)
OrganicLow formalization; low
centralization; training +
experience; narrow span;
horizontal communication &
meetings)
Mostly organic(Moderate formalization;
moderate centralization;work
experience; moderate to wide
span; horizontal oral
communication)
Fit between task and organizational structure
How do you evaluate media richness theory?
• Conceptually: – Is the uncertainty/equivocality distinction valid?
– Is the concept of richness well specified?
• Empirically: Do predictions about choice and effectiveness hold?
Initiators Benefit More than Receivers
0
0.5
1
1.5
2
Use
fuln
ess
Other
Self
Who Initiated
More
Less
Other
Self
Who Initiated
0
0.5
1
1.5
2
Other
Self
Who Initiated
Fax
Phone
Face
Work Relationship News
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Deg
ree
of in
terr
upti
on
Other
Self
Who Initiated
Fax
Phone
Face
• Communication is less costly and more beneficial to for its initiator
Markets for AttentionKraut, Sunder, Morris & Telang
• Markets are societal mechanisms to balance supply and demand for scare resources without revealing private information
• In this case, the scare good is human attention• Can markets for attention balance
– Information producer’s goals to get a message seen– Receiver’s interests in conserving attention?
• Research– Economic modeling– Empirical studies
Economic Modeling Suggests Charging for Communication Can Help
• Scenario– Consumers have attributes that
imperfectly predict interest in messages
– Consumer can only process a fraction of all messages they receive
• With costless or fixed rate communication (e.g. email):– All vendors broadcast
messages to all consumers– Harms both senders & receivers– Irrelevant messages crowd out
the relevant
• With costly communication– Vendors are motivated to send only to
interested consumers– Benefits both senders & receivers
• Prerequisites– Per-recipient pricing– Information to discriminate recipients
Hei
ght
Income
CrossWord Figures
Experimental Test of Model• Players earn money by completing puzzles • Communication is valuable
– Get help from other players– Provide answers to others, earning money for each accepted
• Communication interrupts puzzles• Pricing regime
– Inexpensive rate ($.02/message sent)– Costly rate ($.04/recipient)
• Message types– Advertisement – Can’t differentiate recipients– Questions – Can differentiate expert vs. non-expert recipients
Predictions are Confirmed• With variable rate postage,
sender– Rations communication– Targets communication
• Rationing is greatest when sender has information about relevance of message to potential recipients
Dependent variable Postage p Cheap Costly Rationing Unique messages sent 13.6 9.8 ** Recipients per message 3.6 3.0 * % high priority message
81% 41% ***
Targeting % relevant messages 32% 45% **
2.5
2.7
2.9
3.1
3.3
3.5
3.7
3.9
Cheap CostlyPostage
Rec
ipie
nts
per
mes
sage
No discriminating info Descriminating info
But those aren’t real sensorsCan it be done with noisy sensors?
Processed the recorded audio (very poor quality) with “silence detector” from local speech recognition package– Get quite high error rate (~20% )
Using this instead of “someone talking” get 76.9% (equal to human performance)
Robustness of result: Suppose you can’t use a camera or microphone
Recall that “someone talking” was primary sensor (75% prediction alone)
Can still get good results!– No microphone: 80.4%– No microphone or camera: 78.6%
What’s going on here??
Robustness of result: Suppose you can’t use a camera or microphone
Recall that “someone talking” was primary sensor (75% prediction alone)
Can still get good results!– No microphone: 80.4%– No microphone or camera: 78.6%
What’s going on here??
Less predictive sensors combine to pull out underlying behavioral phenomenon
Social engagement
Uncertainty versus Equivocality
• Daft & Lengel:• Uncertainty = absence of information to answer well defined questions• Equivocality = ambiguity about what question to ask, often generated by conflict in values
• E.g. What kind of bullets should a police department buy?• Easy decision if there is consensus about importance of stopping power versus safety of
bystanders => collect data & run studies• Difficult decision if there is disagreement about whether protecting the police under threat
or protecting bystanders has the highest priority
• E.g., Should the US invade Iraq?• A decision filled with uncertainty about its consequences for US security• A decision filled with equivocality when the discussion is about the relative value of Iraq’s
national sovereignty, US security, & international coalitions. ,
Media richness hypothesis:
Example of contingency theory
Task Equivocality
Media richness
Low
High
Low High
Preferred &Effective --
--
Reports Email Phone Face/face
Low High
• Attempts to explain managerial preference for face-to-face communication
• Predictions at both organizational and interpersonal levels
• Media vary in richness• Rich media are useful for
complex, equivocal, & ambiguous communication tasks
• 'Fit' will influence both media choice & task outcomes Preferred &
Effective
Dennis & Kinney (ISR,1998)
• Lab experiment varying equivocality & media richness– Equivocality:
• High equivocality : Undergrad admissions problem, with
arguments about weighting SATs, GPA, extra
curricular activities, jobs, residency, etc.
• Low equivocality: SAT problem solving questions– Richness:
• Immediate feedback: Full duplex vs. half-duplex audio/video
Chat vs. email• Multiplicity of cues: Full duplex audio/video vs. chat
Half-duplex audio/video vs. email– Outcomes: Time, Consensus, Decision quality, Satisfaction
Results
0
5
10
15
20
25
30
35
Lo Equiv Hi Equiv
Tim
e to
co
mp
lete
tas
k
Fewer cues
Multi-cue
• Faster with– Multiple cues– Interactivity
• Contingency effects– No effects on decision quality– No effects on consensus– No effects on communication
satisfaction– Interaction between multiplicity of cues
& equivocality on completion time, but inconsistent with theory
• Multiple cues improves performance most for SAT task, not admissions task
Media richness X Task equivocality
0
5
10
15
20
25
30
Lo Equiv Hi Equiv
Tim
e to
co
mp
lete
tas
k
Non-interactive
Interactive
Spontaneity of conversations
02
04
06
0
**
**
*
*
**
*
s c h e du l e d i n t e n d e d o p po r t u n i s t i c s po n t a n e o u s
S p o n t a n e i t y
mi
nu
te
s
0.
00
.2
0.
4
S p o n t a n e i t y
%o
fc
on
ve
rs
at
io
ns
s c he d u l e d i n t e n de d o p p o r t u n i s t i c s po n t a n e o u s
• Much of the talk is unscheduled
• Proximity increases odds of spontaneous communication
Examples from Bellcore
Interruption rules (L. Sproull)