Communication Technology, Design, and Availability Management.

Communication Technology and Availability Management

Competing Goals and Stakeholders in Communication Technology

  • Communication technology (e.g., mobile phones) has competing goals: It does not serve a single person or task but must manage multiple stakeholders and their diverse objectives.

  • Stakeholders and their goals for mobile phones in the classroom include:

    • Students: Communication, learning, entertainment, social bonding.

    • Teachers: Facilitate learning, maintain order, prevent distraction.

    • Parents: Safety, communication with their children.

    • Friends: Social messaging and connection.

    • Taxpayers: Efficient use of educational resources.

    • Tech companies: Profit, user engagement, data collection.

    • Creators/Influencers: Engagement with their content.

Problems Associated with Mobile Phones in Schools

  • Bullying: Some administrators and policymakers argue that reducing young people's access to phones will decrease digital bullying.

  • Mental Health: Some psychologists suggest social media exposure contributes to declines in mental health. However, population-level arguments are highly disputed and remain an open question in psychology, despite clear individual cases of severe harm.

  • Distraction: Teachers frequently report students paying attention to phones instead of class content.

    • Limited randomized trials indicate that students without phone access:

      • Scored much higher grades.

      • Remembered course material significantly better.

Proposed Interventions for Mobile Phone Use in Schools

  • Option: Add "School Mode" to receiver's phones

    • Goal: Disable messaging and entertainment for all student phones in school while permitting other legitimate uses.

    • Who implements: Tech companies and schools.

    • Who pays: Tech companies (and schools to some extent).

  • Option: Confiscate phones

    • Goal: State government requires school administrators to securely confiscate student phones during class and return them afterwards.

    • Who implements: State government and schools.

    • Who pays: Schools.

  • Option: Tax app-makers for youth attention

    • Goal: State government taxes companies for student attention occupied during school and homework, funding programs that support youth flourishing.

    • Who implements: State government.

    • Who pays: Tech companies, app makers, media producers.

The Role of Psychology in Design

  • Assumptions and Backfiring: All design proposals make assumptions about how people and organizations will behave in response. These assumptions can often backfire, leading to unintended consequences.

Availability Management

  • Technological Mediation Creates Uncertainty: As per Aoki & Woodruff (2005), communication technologies introduce ambiguity in personal communication.

  • Core Questions of Availability Management:

    • Is a person available for social interaction?

    • Do they have your attention?

    • Would they be willing/want to grant you their attention?

  • Historical Context: For most of human history, availability was governed by co-presence, meaning physical proximity.

    • Rituals and routines for co-presence were arranged.

    • Behaviors were adopted to manage what others thought about one's availability.

    • Example: The traditional role of a butler in a household managing access to residents.

  • Impact of Technology: Technology expands the set of people who might be available but also hides or disguises clues about their true availability.

    • Example: Lyla and Miguel's relationship in "Into the Spiderverse" illustrates remote connection.

    • Student reflection (Cameron Pien): Instagram DMs with read receipts lead to avoiding opening messages when busy to manage expectations. This highlights a societal shift devaluing solitude and promoting constant connection.

  • Availability as Expectation:

    • Relationships carry specific availability expectations (i.e., situations when one is supposed to be available and attentive to fulfill the relationship).

    • Interpersonal examples:

      • Calling on birthdays.

      • Listening when a person is upset.

    • Professional examples:

      • Showing up on time.

      • Responding to emails within a specific timeframe.

Accounts

  • Definition: In relationships, an account is an explanation provided for a relational failure (e.g., not meeting an availability expectation).

  • Purpose: An account reconciles two claims:

    • "I violated your expectations."

    • "I care/am trustworthy/am competent enough to continue to make this relationship worthwhile."

  • Presentation: Accounts are generally presented through stories rather than formal arguments (Garfinkel, 1967).

  • Function: Accounts provide a plausible, mutually agreeable narrative that saves face for both parties.

    • Examples: "I'm sorry I missed your birthday, my phone broke." or "I realize I didn't call you back but this has been a crazy day!!"

  • Plausibility: Based on typical behavior (for the individual, in the culture) and the evidence hidden by mediating technology.

Availability Management Strategies: Butler Messages and Lies

  • Constant Connectivity: Technology forces us to manage availability as constant connectivity is often expected, requiring us to account for unavailability.

  • Butler Message:

    • Definition: A verbal message sent to manage one's availability or unavailability.

    • Analogy: Like a real butler, the technology "buffers" or mediates between you and the recipient.

    • Student reflection: Butler messages highlight how people manage social boundaries politely, often delaying interaction in digital communication.

  • Active (Technological) Mediation: Features of a technical system that suggest or contradict particular accounts for availability (Aoki & Woodruff, 2005).

  • Butler Lie:

    • Definition: A deceptive butler message; a knowingly false verbal message.

    • What they do: Account for various states of unavailability:

      • Having been unavailable in the past: "I’m sorry I missed your call, [LIE]" or "I’m sorry I didn’t get back to you, [LIE]".

      • Being unavailable now: "Gotta run now, [LIE]".

      • Being unavailable in the future: "I won’t be able to come next weekend, [LIE]".

      • Being "available" when it might otherwise be embarrassing: "I just happened to be here at the same time as you."

    • Student examples:

      • Using a butler lie to decline overtime work to maintain future job opportunities.

      • Using a butler lie to prioritize intimate relationships over casual acquaintances when asked to hang out.

    • How they work: They exploit two sources of ambiguity:

      • Technological mediation.

      • Unclear norms of response and duration for many mediating technologies.

  • Conversational Ambiguity: When it is not clear whether a conversation is ongoing or has ended.

Reynolds et al. (2013) Study: Butler Lies in Texting

  • Research Questions:

    • What are the actual rates of lying in text messaging?

    • What are the perceived rates of lying in text messages?

    • How accurate are receivers when detecting which messages are deceptive?

    • What is the emotional impact of telling and being told butler lies?

  • Research Design: Utilized a "Messages From Both Sides" approach, gathering data from both senders and receivers.

    • Message Categorization ("Quad Chart"):

      • Deceptive Butler Content: Butler Lie

      • Non-Deceptive Butler Content: Butler Message

      • Deceptive No Butler Content: Other Lie

      • Non-Deceptive No Butler Content: Other Message

  • RQ1: Actual Rate of Lies (Senders):

    • Butler messages had a significantly higher deception rate than general messages. For senders, the average percentage of deceptive messages was roughly between 30%30\% and 40%40\% for butler messages, compared to under 10%10\% for general messages.

  • RQ2: Perceived Rate of Lies (Receivers vs. Senders):

    • Senders admitted to lying more in butler messages than receivers perceived lies in other messages.

    • Specifically, senders' reported deception rate for butler messages was higher than their general message deception rate and also higher than receivers' perceived deception rate for other messages.

  • RQ3: Emotional Impact (for detected lies):

    • For detected lies, butler lies had a lower emotional impact rating (closer to 2.02.0 on a 151-5 scale) than other types of lies (closer to 3.03.0 on the same scale) for both senders and receivers.

Reducing Butler Lies with Design

  • Change the availability user experience (Design):

    • Utilize "Do Not Disturb" features (though users may forget to turn them off).

    • Publish auto-replies to emails.

    • Give people a limited number of contacts, requiring them to offer accounts for who is on or off the list.

    • Turn off the phone (though this prevents learning of emergencies).

  • Change the structure of who's available (Sociology):

    • Reduce the size of the Cornell student body (though this would diminish what makes Cornell special).

    • Recruit capable TAs to field student questions.

  • Change people's expectations (Psychology):

    • Change society to be more understanding about delayed responses.

    • Become more accepting that a functioning society depends on some amount of untruth.

Professor Matias's Account Management

  • Personal Example: Cycling is part of Professor Matias's availability management; he cannot answer emails from the middle of the forest.

  • Annual Cornell Outdoor Air Quality Index (AQI) for an academic term:

    • Mean AQI: 38.838.8

    • Days over 5050 AQI: 6868

    • Weekdays over 5050 AQI: 5151 (31.1%31.1\%)

    • Weekends over 5050 AQI: 25.8%25.8\%

  • Highlights the challenge of account management with a disability.

Next Steps and Opportunities

  • Assignments: Read Przybylski, A. K., & Weinstein for Thursday; essay assignments due Thursday.

  • Voting: Register to vote by October 2626 at www.cornellvotes.org.

  • SONA Opportunities: Virtual Reality Interaction study offering 2525 CASH / 22 SONA Credits (contact ktm62@cornell.edu for more info).