What determines instant messaging communication? Examining the impact of person- and situation-level factors on IM responsiveness

Abstract

Acknowledging that the way mobile communication is used is shaped by socially negotiated social norms, this study examined the factors that impact instant messaging (IM) communication at the person and situation levels using the experience sampling method (ESM). We measured how the characteristics at the person level (i.e., availability and responsiveness preferences), contextual factors (i.e., location and copresence of others), and message-related attributes (i.e., sender and chat type) impact users’ responsiveness in IM communication. The study empirically investigated a sample of 90 smartphone users who completed 820 ESM protocols regarding their use of the messenger service WhatsApp. The results of the multilevel analyses revealed that users’ responsiveness in IM communication is affected by person- and situation-level factors, but the latter factors were found to have a much stronger impact. The effect of specific influential factors is discussed in detail.

Keywords

Experience sampling IM responsiveness instant messaging mobile communication situational approach

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References

Al-Saggaf

MacCulloch

(2019). Phubbing and social relationships: Results from an Australian sample. Journal of Relationships Research, 10. https://doi.org/10.1017/jrr.2019.9

Baron

N. S.

Segerstad

Y. H.

(2010). Cross-cultural patterns in mobile-phone use: public space and reachability in Sweden, the USA and Japan. New Media & Society, 12(1), 13–34. https://doi.org/10.1177/1461444809355111

Bates

Maechler

Bolker

Walker

(2015). ‘lme4’: Linear mixed-effects models using Eigen and S4. Rpackage version 1.1-10, http://CRAN.R-project.org/package=lme4.

Baumeister

R. F.

Leary

M. R.

(1995). The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117(3), 497–529. https://doi.org/10.1037/0033-2909.117.3.497

Bayer

J. B.

Campbell

S. W.

Ling

(2016). Connection cues: Activating the norms and habits of social connectedness. Communication Theory, 26(2), 128–149. https://doi.org/10.1111/comt.12090

Beal

D. J.

(2015). ESM 2.0: State of the art and future potential of experience sampling methods in organizational research. Annual Review of Organizational Psychology and Organizational Behavior, 2, 383–407. https://doi.org/10.1146/annurev-orgpsych-032414-111335

Blabst

Diefenbach

(2017). WhatsApp and wellbeing: A study on WhatsApp usage, communication quality and stress. In Hall

Flint

O’Hara

Turner

(Eds.), Proceedings of the 31st British Computer Society Human Computer Interaction Conference (pp. 1–6). BCS Learning & Development Ltd. https://doi.org/10.14236/ewic/HCI2017.85

Campbell

S. W.

(2006). Perceptions of mobile phones in college classrooms: Ringing, cheating, and classroom policies. Communication Education, 55(3), 280–294. https://doi.org/10.1080/03634520600748573

Campbell

S. W.

Ling

Bayer

J. B.

(2013). The structural transformation of mobile communication: Implications for self and society. In Oliver

M. B.

Raney

(Eds.), Media and social life (pp. 176–188). Routledge.

10.

Campbell

S. W.

Park

Y. J.

(2008). Social implications of mobile telephony: The rise of personal communication society. Sociology Compass, 2(2), 371–387. https://doi.org/10.1111/j.1751-9020.2007.00080.x

11.

Chen

(2015). Mobile technostress. In Yan

(Ed.), Encyclopedia of mobile phone behavior (pp. 732–744). IGI Global. https://doi.org/10.4018/978-1-4666-8239-9.ch060

12.

Church

de Oliveira

(2013). What’s up with WhatsApp? In Rohs

Schmidt

(Eds.), MobileHCI’13: Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services: August 27–30, 2013, Munich, Germany (p. 352). Association for Computing Machinery. https://doi.org/10.1145/2493190.2493225

13.

Cialdini

Trost

M.R.

(1998). Social influence: Social norms, conformity, and compliance. In Gilbert

D.T.

Fiske

S.T.

Lindzey

(Eds.), The handbook of social psychology. Oxford University Press.

14.

Csikszentmihalyi

Larson

(2014). Validity and reliability of the Experience-Sampling Method. In Csikszentmihalyi

(Ed.), Flow and the foundations of positive psychology (pp. 35–54). Springer Netherlands. https://doi.org/10.1007/978-94-017-9088-8_3

15.

Cui

(2016). Beyond “connected presence”: Multimedia mobile instant messaging in close relationship management. Mobile Media & Communication, 4(1), 19–36. https://doi.org/10.1177/2050157915583925

16.

Darley

J. M.

Latane

(1968). Bystander intervention in emergencies: Diffusion of responsibility. Journal of Personality and Social Psychology, 8(4), 377–383. https://doi.org/10.1037/h0025589

17.

Dennis

A.R.

Fuller

R.M.

Valacich

J.S.

(2008). Media, tasks, and communication processes: a theory of media synchronicity. MIS Quarterly, 32(3), 575–600. https://doi.org/10.2307/25148857

18.

Dingler

Pielot

(2015). I’ll be there for you. In Proceedings of the 17th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct: Copenhagen, Denmark, August 24–27, 2015 (pp. 1–5). Association for Computing Machinery Inc. (ACM). https://doi.org/10.1145/2785830.2785840

19.

Enders

C. K.

Tofighi

(2007). Centering predictor variables in cross-sectional multilevel models: A new look at an old issue. Psychological Methods, 12(2), 121–138. https://doi.org/10.1037/1082-989X.12.2.121

20.

Ferreira

Goncalves

Kostakos

Barkhuus

Dey

A. K.

(2014). Contextual experience sampling of mobile application micro-usage. In Ley

(Ed.), Exeter Performance Studies. Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services: September 23–26, 2014, Toronto, ON, Canada (pp. 91–100). Association for Computing Machinery Inc. (ACM). https://doi.org/10.1145/2628363.2628367

21.

Green

(2002). On the move: Technology, mobility, and the mediation of social time and space. The Information Society, 18(4), 281–292. https://doi.org/10.1080/01972240290075129

22.

Hall

J.A.

Baym

N.K.

(2012). Calling and texting (too much): Mobile maintenance expectations, (over)dependence, entrapment, and friendship satisfaction. New Media & Society 14(2), 316–331. https://doi.org/10.1177/1461444811415047

23.

Hall

J. A.

Baym

N. K.

Miltner

K. M.

(2014). Put down that phone and talk to me: Understanding the roles of mobile phone norm adherence and similarity in relationships. Mobile Media & Communication, 2(2), 134–153. https://doi.org/10.1177/2050157913517684

24.

Hogg

M. A.

Reid

S. A.

(2006). Social identity, self-categorization, and the communication of group norms. Communication Theory, 16(1), 7–30. https://doi.org/10.1111/j.1468-2885.2006.00003.x

25.

Hoyle

Das

Kapadia

Lee

A. J.

Vaniea

(2017). Was my message read? In Explore, innovate, inspire: Chi 2017: May 6–11, Denver, CO, USA (pp. 3838–3842). Association for Computing Machinery Inc. (ACM). https://doi.org/10.1145/3025453.3025925

26.

Hox

J. J.

(2010). Multilevel analysis: Techniques and applications (2nd ed.). Routledge.

27.

Karapanos

Teixeira

Gouveia

(2016). Need fulfillment and experiences on social media: A case on Facebook and WhatsApp. Computers in Human Behavior, 55, 888–897. https://doi.org/10.1016/j.chb.2015.10.015

28.

Karnowski

Jandura

(2014). When lifestyle becomes behavior: A closer look at the situational context of mobile communication. Telematics and Informatics, 31(2), 184–193. https://doi.org/10.1016/j.tele.2013.11.001.

29.

Kneidinger-Müller

(2017). Mobile communication as invader in face-to-face interactions. An analysis of predictors for parallel communication habits. Computers in Human Behavior, 73, 328–335. https://doi.org/10.1016/j.chb.2017.03.055

30.

Koch

Frees

(2017). ARD/ZDF-Onlinestudie 2017: Neun von zehn Deutschen online: Ergebnisse aus der Studienreihe „Medien und ihr Publikum“ (MiP) [ARD/ZDF online study 2017: Nine out of ten Germans online: Results from the study series “Media and their audience”]. Media Perspektiven, 9, 434–446.

31.

Lapinski

M. K.

Rimal

R. N.

(2005). An explication of social norms. Communication Theory, 15(2), 127–147. https://doi.org/10.1111/j.1468-2885.2005.tb00329.x

32.

Lee

Y.-K.

Chang

C.-T.

Lin

Cheng

Z.-H.

(2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in Human Behavior, 31, 373–383. https://doi.org/10.1016/j.chb.2013.10.047

33.

Lee

H.-P.

Chen

K.-Y.

Lin

C.-H.

Chen

C.-Y.

Chung

Y.-L.

Chang

Y.-J.

Sun

C.-R.

(2019). Does who matter? Studying the impact of relationship characteristics on receptivity to mobile IM messages. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA (pp. 1–12). Association for Computing Machinery Inc. (ACM). https://doi.org/10.1145/3290605.3300756

34.

Ling

(2010). Texting as a life phase medium. Journal of Computer-Mediated Communication, 15(2), 277–292. https://doi.org/10.1111/j.1083-6101.2010.01520.x

35.

Ling

Lai

C.-H.

(2016). Microcoordination 2.0: Social coordination in the Age of smartphones and messaging apps. Journal of Communication, 66(5), 834–856. https://doi.org/10.1111/jcom.12251

36.

Lynden

Rasmussen

(2017). Exploring the impact of ‘read receipts’ in mobile instant messaging. Tidsskrift for Medier, Erkendelse Og Formidling, 5(1). https://tidsskrift.dk/mef-journal/article/view/28781

37.

Mai

L. M.

Freudenthaler

Schneider

F. M.

Vorderer

(2015). “I know you’ve seen it!” Individual and social factors for users’ chatting behavior on Facebook. Computers in Human Behavior, 49, 296–302. https://doi.org/10.1016/j.chb.2015.01.074

38.

Mascheroni

Vincent

(2016). Perpetual contact as a communicative affordance: Opportunities, constraints, and emotions. Mobile Media & Communication, 4(3), 310–326. https://doi.org/10.1177/2050157916639347

39.

Mehrotra

Pejovic

Vermeulen

Hendley

Musolesi

(2016). My phone and me: Understanding people’s receptivity to mobile notifications. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI ’16) (pp. 1021–1032). https://doi.org/10.1145/2858036.2858566

40.

Montag

Błaszkiewicz

Sariyska

Lachmann

Andone

Trendafilov

Eibes

Markowetz

(2015). Smartphone usage in the 21st century: Who is active on WhatsApp? BMC Research Notes, 8, article 331. https://doi.org/10.1186/s13104-015-1280-z

41.

Pielot

de Oliveira

Kwak

Oliver

(2014). Didn’t you see my message? Predicting attentiveness to mobile instant messages. In CHI 2014: ACM SIGCHI Conference on Human Factors in Computing Systems (pp. 3319–3328). https://doi.org/10.1145/2556288.2556973

42.

Przybylski

A. K.

Murayama

DeHaan

C. R.

Gladwell

(2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. https://doi.org/10.1016/j.chb.2013.02.014

43.

Reis

H. T.

Gable

S. L.

Maniaci

M. R.

(2014). Methods for studying everyday experience in its natural context. In Reis

H. T.

Judd

C. M.

Reis

H. T.

Judd

C. M.

(eds.), Handbook of research methods in social and personality psychology (pp. 373–403). Cambridge University Press. https://doi.org/10.1017/CBO9780511996481.019

44.

Rettie

(2009). SMS: exploiting the interactional characteristics of near-synchrony. Information, Communication & Society, 12(8), 1131-1148. https://doi.org/10.1080/13691180902786943

45.

Rimal

R. N.

Lapinski

M. K.

(2015). A re-explication of social norms, ten years later. Communication Theory, 25(4), 393–409. https://doi.org/10.1111/comt.12080

46.

Schneider

F. M.

Hitzfeld

(2019). I Ought to Put Down That Phone but I Phub Nevertheless: Examining the Predictors of Phubbing Behavior. Social Science Computer Review. https://doi.org/10.1177/0894439319882365

47.

Shuter

Chattopadhyay

(2010). Emerging interpersonal norms of text messaging in India and the United States. Journal of Intercultural Communication Research, 39(2), 123–147. https://doi.org/10.1080/17475759.2010.526319

48.

Trieu

Bayer

J. B.

Ellison

N. B.

Schoenebeck

Falk

(2017). Who likes to be reachable? Availability preferences, weak ties, and bridging social capital. Information, Communication & Society, 22(8), 1096–1111. https://doi.org/10.1080/1369118X.2017.1405060

49.

Tyler

J.R.

Tang

J.C.

(2003). When can I expect an email response? A study of rhythms in email usage. In Kuutti

Karsten

E.H.

Fitzpatrick

Dourish

Schmidt

(eds.) ECSCW 2003 (pp. 239-258). Springer.

50.

Vanden Abeele

M. M.P.

Antheunis

M. L.

Schouten

A. P.

(2016). The effect of mobile messaging during a conversation on impression formation and interaction quality. Computers in Human Behavior, 62, 562–569. https://doi.org/10.1016/j.chb.2016.04.005

51.

Vanden Abeele

M. M.P.

Hendrickson

A. T.

Pollmann

M. M.H.

Ling

(2019). Phubbing behavior in conversations and its relation to perceived conversation intimacy and distraction: An exploratory observation study. Computers in Human Behavior, 100, 35–47. https://doi.org/10.1016/j.chb.2019.06.004

52.

Vorderer

Kohring

(2013). Permanently online: A challenge for media and communication research. International Journal of Communication, 7, 188–196.

53.

Vorderer

Krömer

Schneider

F. M.

(2016). Permanently online – permanently connected: Explorations into university students’ use of social media and mobile smart devices. Computers in Human Behavior, 63, 694–703. https://doi.org/10.1016/j.chb.2016.05.085

54.

Wirth

Pape

von, & Karnowski

(2008). An integrative model of mobile phone appropriation. Journal of Computer-Mediated Communication, 13(3), 593–617. https://doi.org/10.1111/j.1083-6101.2008.00412.x

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