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THE INFLUENCE OF EMOTICONS ON
    RECEIVER PERCEPTION
     LAUREN DEINTINIS
        FA I T H G O VA N
     B R I A N M C E LV E N E Y


   P E N N S TAT E B E H R E N D
Source:
Electronic Communication
• 87% of teens engage in some form of
  electronic communication (Pew Internet
  Project, 2008)
• 43% of teenagers now say texting is the
  number one reason they get a cell phone
  (Nielson, 2010)
• Voice usage has decreased by 14%
  among teens and is decreasing in all age
  groups under 55 (Nielson, 2010)
Research Topic
• Increase in Electronic and Computer-
  Mediated Communication

          Loss of Non-verbal cues
• Scott Fahlman creates the “Smiley” in
  1981



    :-)           :-(             ;-)
Previous Research
• Some non-verbal information is not
  transferred fully (McKenna &
  Bargh, 2000).
• Emoticons support written communication
  like non-verbal cues (Rezabek and
  Cochenour, 1998)
• Emoticons affect emotions felt in receiver
  (Luor, Wu, Lu & Tao, 2010)
Research Questions
• Who uses emoticons?
• How are emoticons used?
• Do emoticons affect the impression of
  another’s personality in an online chat?
Participants
• 77 Participants
  – 35 Males, 42 Females
  – 18-39 years old, M=19 years old
• Research Participation Pool
• Ethical Guidelines and Informed consent
  following IRB approval
Materials
Participant
                                   Opinion of Behrend as dry
Questionnaire                      campus.
How many hours per day do you
spend talking with someone
electronically?
____ 0-2 ____ 2-4
____ 4-6 ____ 6-8
____ 8+ hours

1 2 3 4 5 6 7 8
9
Please rate your current mood
(1=very negative, 5=
neutral, 9=very positive). _____
Materials
Perception Questionnaire
1 2 3 4 5 6 7 8 9
(1=Strongly Disagree, 5=Neutral, 9=Strongly Agree)
• My chat partner is a likeable person.
• My chat partner is persuasive in his/her argument.
• I enjoyed communicating with this person.
• I would communicate with this person again.
• I use emoticons in everyday non-verbal communication.
• I only use emoticons in conversations with friends and family.
• I use emoticons more when my conversation partner uses
   emoticons.
• I use emoticons to express humor.
• I use emoticons to express sarcasm.
• I use emoticons to express sadness.
Materials
Big Five Personality Questionnaire (Saucier, 1994)
• Forty-item inventory
• Measured five personality traits:
  –   Openness
  –   Contentiousness
  –   Extraversion
  –   Agreeableness
  –   Emotional Stability
Informed Consent

                          Participant
                         Questionnaire

                           Big Five
                         Questionnaire

                          Chat About
                         “Dry Campus”
                             Article

          Positive   Negativ        Wink    None
                       e

                           Big Five
                         Questionnaire

                          Perception
                         Questionnaire

                       Debriefing/Credite
Source:                         d
Emoticon use in everyday
        communication

  R2 = .12, F = 3.21, p = .028*
– Agreeableness         β = .19, p = .096
– Extraversion          β = .14, p = .222
– Emotional Stability         β = -.26, p =
  .022*
Using Emoticons to Express Humor?


   R2 = .20, F = 6.09, p = .001*
 – Agreeableness         β = .26, p = .031*
 – Conscientiousness           β = .26, p =
   .028*
 – Emotional Stability         β = -.21, p =
   .049*
Results: Big Five Personality Ratings Based on
         7               Emoticon Type
Perceived Partner Trait Rating




                                                                                          Agreeableness
                                 6
                                                                                          Extraversion
                                                                                          Emotional Stability
                                                                                          Conscientiousness
                                                                                          Openess



                                 5
                                     Positive        Wink      Negative         None
                                                         Emoticon
                           F (3, 73) = 2.94, p = .039*              F (3,73) = .877, p = .457
                           F (3, 73) = .844, p = .474               F (3,73) = .623, p = .602
                           F (3, 73) = 1.27, p = .291
Results: Chat Analyses
                      100
Percent Affirmative


                       80

                       60                        46.8
                       40   31.2   24.7
                                          20.8          16.9   19.5
                       20

                        0
Discussion
• Less emotionally stable and the more agreeable, more
  likely to use emoticons.
• Chat partners are seen as more agreeable when they
  pair optimistic messages with positive emoticons
    – (Luor, Wu, Lu, and Tao, 2010)
• Participant’s perceived extraversion rating higher when a
  wink emoticon and support statement of campus going
  dry was used
    – Participants may have perceived the wink as a form
      of sarcasm (Walther and D’Addario, 2001)
Limitations
• Participants
  – Limited to college students only
  – Small sample size
• Time constraints
  – Unable to look at both FOR and AGAINST
    arguments
• Many variables
  – Larger interactions could not be analyzed at
    this point in research
Implications
• Emoticons do affect the emotions felt by
  the receiver of a message
• Personality does play a role in how
  emoticons are perceived in a message




       Source:
References
Brittan, D. (1995, October). The Shadow of Rezabek, L. L., & Cochenour, J. J.
     Your Smiley. Technology Review, 98(7).   (1998, Fall). Visual Cues in Computer-
                                              Mediated Communication:
Electronic Communication. (2008, May 22).     Supplementing Text With Emoticons.
     In Pew Internet and American Life        Journal of Visual Literacy, 18(2),
     Project. Retrieved April 10, 2012        201-215.

Luor, T., Wu, L., Lu, H., & Tao, Y.          U.S. Teen Mobile Report: Calling
   (2010, March 5). The Effect of               Yesterday, Texting Today, Using Apps
   Emoticons in Simplex and Complex             Tomorrow. (2010, October 14). In
   Task-Oriented Communication: An              Nielsen Wire. Retrieved April 9, 2012
   Empirical Study of Instant Messaging.
   Computers in Human Behavior, 26, 889- Walther, J. B., & D’Addario, K. P.
   895.                                         (2001, Fall). The Impacts of Emoticons
                                                on Message
McKenna, K. Y., Bargh, J. A. (2004, July        Interpretation in Computer-Mediated
   11). The Internet and Social Life. Annual    Communication. Social Science
   Review, 55(57), 573-590. doi: 10.1146        Computer Review, 19(3), 324-347. doi:
                                                10.1177/089443930101900307.
Acknowledgments
     We would like to thank our faculty
advisor, Dr. Dawn Blasko, for her continued
   support and guidance throughout the
duration of the study. We would also like to
thank Dr. Robert Light, the senior associate
 dean of the Penn State Behrend Research
   Office, for supporting this study with a
                research grant.

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The Influence of Emoticons on Receiver Perception

  • 1. THE INFLUENCE OF EMOTICONS ON RECEIVER PERCEPTION LAUREN DEINTINIS FA I T H G O VA N B R I A N M C E LV E N E Y P E N N S TAT E B E H R E N D
  • 3. Electronic Communication • 87% of teens engage in some form of electronic communication (Pew Internet Project, 2008) • 43% of teenagers now say texting is the number one reason they get a cell phone (Nielson, 2010) • Voice usage has decreased by 14% among teens and is decreasing in all age groups under 55 (Nielson, 2010)
  • 4. Research Topic • Increase in Electronic and Computer- Mediated Communication Loss of Non-verbal cues • Scott Fahlman creates the “Smiley” in 1981 :-) :-( ;-)
  • 5. Previous Research • Some non-verbal information is not transferred fully (McKenna & Bargh, 2000). • Emoticons support written communication like non-verbal cues (Rezabek and Cochenour, 1998) • Emoticons affect emotions felt in receiver (Luor, Wu, Lu & Tao, 2010)
  • 6. Research Questions • Who uses emoticons? • How are emoticons used? • Do emoticons affect the impression of another’s personality in an online chat?
  • 7. Participants • 77 Participants – 35 Males, 42 Females – 18-39 years old, M=19 years old • Research Participation Pool • Ethical Guidelines and Informed consent following IRB approval
  • 8. Materials Participant Opinion of Behrend as dry Questionnaire campus. How many hours per day do you spend talking with someone electronically? ____ 0-2 ____ 2-4 ____ 4-6 ____ 6-8 ____ 8+ hours 1 2 3 4 5 6 7 8 9 Please rate your current mood (1=very negative, 5= neutral, 9=very positive). _____
  • 9. Materials Perception Questionnaire 1 2 3 4 5 6 7 8 9 (1=Strongly Disagree, 5=Neutral, 9=Strongly Agree) • My chat partner is a likeable person. • My chat partner is persuasive in his/her argument. • I enjoyed communicating with this person. • I would communicate with this person again. • I use emoticons in everyday non-verbal communication. • I only use emoticons in conversations with friends and family. • I use emoticons more when my conversation partner uses emoticons. • I use emoticons to express humor. • I use emoticons to express sarcasm. • I use emoticons to express sadness.
  • 10. Materials Big Five Personality Questionnaire (Saucier, 1994) • Forty-item inventory • Measured five personality traits: – Openness – Contentiousness – Extraversion – Agreeableness – Emotional Stability
  • 11. Informed Consent Participant Questionnaire Big Five Questionnaire Chat About “Dry Campus” Article Positive Negativ Wink None e Big Five Questionnaire Perception Questionnaire Debriefing/Credite Source: d
  • 12.
  • 13. Emoticon use in everyday communication R2 = .12, F = 3.21, p = .028* – Agreeableness β = .19, p = .096 – Extraversion β = .14, p = .222 – Emotional Stability β = -.26, p = .022*
  • 14. Using Emoticons to Express Humor? R2 = .20, F = 6.09, p = .001* – Agreeableness β = .26, p = .031* – Conscientiousness β = .26, p = .028* – Emotional Stability β = -.21, p = .049*
  • 15. Results: Big Five Personality Ratings Based on 7 Emoticon Type Perceived Partner Trait Rating Agreeableness 6 Extraversion Emotional Stability Conscientiousness Openess 5 Positive Wink Negative None Emoticon F (3, 73) = 2.94, p = .039* F (3,73) = .877, p = .457 F (3, 73) = .844, p = .474 F (3,73) = .623, p = .602 F (3, 73) = 1.27, p = .291
  • 16. Results: Chat Analyses 100 Percent Affirmative 80 60 46.8 40 31.2 24.7 20.8 16.9 19.5 20 0
  • 17. Discussion • Less emotionally stable and the more agreeable, more likely to use emoticons. • Chat partners are seen as more agreeable when they pair optimistic messages with positive emoticons – (Luor, Wu, Lu, and Tao, 2010) • Participant’s perceived extraversion rating higher when a wink emoticon and support statement of campus going dry was used – Participants may have perceived the wink as a form of sarcasm (Walther and D’Addario, 2001)
  • 18. Limitations • Participants – Limited to college students only – Small sample size • Time constraints – Unable to look at both FOR and AGAINST arguments • Many variables – Larger interactions could not be analyzed at this point in research
  • 19. Implications • Emoticons do affect the emotions felt by the receiver of a message • Personality does play a role in how emoticons are perceived in a message Source:
  • 20. References Brittan, D. (1995, October). The Shadow of Rezabek, L. L., & Cochenour, J. J. Your Smiley. Technology Review, 98(7). (1998, Fall). Visual Cues in Computer- Mediated Communication: Electronic Communication. (2008, May 22). Supplementing Text With Emoticons. In Pew Internet and American Life Journal of Visual Literacy, 18(2), Project. Retrieved April 10, 2012 201-215. Luor, T., Wu, L., Lu, H., & Tao, Y. U.S. Teen Mobile Report: Calling (2010, March 5). The Effect of Yesterday, Texting Today, Using Apps Emoticons in Simplex and Complex Tomorrow. (2010, October 14). In Task-Oriented Communication: An Nielsen Wire. Retrieved April 9, 2012 Empirical Study of Instant Messaging. Computers in Human Behavior, 26, 889- Walther, J. B., & D’Addario, K. P. 895. (2001, Fall). The Impacts of Emoticons on Message McKenna, K. Y., Bargh, J. A. (2004, July Interpretation in Computer-Mediated 11). The Internet and Social Life. Annual Communication. Social Science Review, 55(57), 573-590. doi: 10.1146 Computer Review, 19(3), 324-347. doi: 10.1177/089443930101900307.
  • 21. Acknowledgments We would like to thank our faculty advisor, Dr. Dawn Blasko, for her continued support and guidance throughout the duration of the study. We would also like to thank Dr. Robert Light, the senior associate dean of the Penn State Behrend Research Office, for supporting this study with a research grant.

Editor's Notes

  1. Examples of Google chats
  2. By using the participants personality traits, agreeableness, extraversion, and emotional stability, being the most impactful on the results, we were able to explain 11.6% of the variance of those who use emoticons in everyday use. By using the participants personality traits, agreeableness, conscientiousness, and emotional stability, being the most impactful on the results, we were able to explain 20% of the variance of those who use emoticons to express humor. Overall, emotional stability had the greatest effect on predicting emoticon use. (More neurotic (less emotionally stable)= more emoticon use)
  3. By using the participants personality traits, agreeableness, extraversion, and emotional stability, being the most impactful on the results, we were able to explain 11.6% of the variance of those who use emoticons in everyday use. By using the participants personality traits, agreeableness, conscientiousness, and emotional stability, being the most impactful on the results, we were able to explain 20% of the variance of those who use emoticons to express humor. Overall, emotional stability had the greatest effect on predicting emoticon use. (More neurotic (less emotionally stable)= more emoticon use)