What do people perceive in watching video game streaming? Eliciting spectators' value structures

Abstract This study attempts to offer new insights into viewers’ perceptual process of watching video game streaming to uncover their value structures with a qualitative method of soft laddering interviews based on means-end chain (MEC) theory. A total of 60 experienced spectators in Taiwan were recruited via snowball sampling. The laddering interviews identified viewers’ perceptions of 9 attributes, 9 consequences, and 8 values that construct a hierarchical value map (HVM) consisting of salient attribute-consequence-value chains. The results show that fun and enjoyment of life as well as warm relationships with others are two major values perceived by game streaming viewers. In addition, this study preliminarily compared viewers’ laddering chains of different preferences for male and female streamers at the attribute level and found a slight divergence. The findings complement the existing literature in the game streaming field and provide practical implications for streamers to more closely meet viewers’ needs.

[1]  Klaus G. Grunert,et al.  Explaining Choice Option Attractiveness by Beliefs Elicited by the Laddering Method , 2005 .

[2]  Mahmud Mohd. Jusan,et al.  Application of means-end chain research model to explore attributes of architecture studio , 2017 .

[3]  Chen Su Fu,et al.  Implications of integrating e-leisure constraints and means-end hierarchies of young people's perceptions toward video-sharing websites , 2018, Online Inf. Rev..

[4]  Hyun-Soo Kang,et al.  A consumer value analysis of mobile internet protocol television based on a means-end chain theory , 2014 .

[5]  J. Gutman.  A Means-End Chain Model Based on Consumer Categorization Processes , 1982 .

[6]  I. Fraser,et al.  Functional ingredients and food choice: Results from a dual-mode study employing means-end-chain analysis and a choice experiment , 2011 .

[7]  Juho Hamari,et al.  Why do people watch others play video games? An empirical study on the motivations of Twitch users , 2017, Comput. Hum. Behav..

[8]  Yu-Ling Lin,et al.  Value hierarchy for Massive Open Online Courses , 2015, Comput. Hum. Behav..

[9]  Deepak Prem Subramony,et al.  Why Users Choose Particular Web Sites Over Others: Introducing a "Means-End" Approach to Human-Computer Interaction , 2002, J. Electron. Commer. Res..

[10]  Konrad Rudnicki,et al.  The effects of celebrity gossip on trust are moderated by prosociality of the gossipers , 2019, Personality and Individual Differences.

[11]  Nicholas-Brie Guarriello,et al.  Never give up, never surrender: Game live streaming, neoliberal work, and personalized media economies , 2019, New Media Soc..

[12]  Yu-Ling Lin,et al.  Players’ Value Structure in Digital Games , 2017, Games Cult..

[13]  Amanda L. L. Cullen,et al.  Nothing but a “titty streamer”: legitimacy, labor, and the debate over women’s breasts in video game live streaming , 2019, Critical Studies in Media Communication.

[14]  Lynn R. Kahle,et al.  USING THE LIST OF VALUES (LOV) TO UNDERSTAND CONSUMERS , 1988 .

[15]  Jaemin Jung,et al.  Impact of viewer engagement on gift-giving in live video streaming , 2018, Telematics Informatics.

[16]  Chia-Chen Chen,et al.  What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement , 2018, Telematics Informatics.

[17]  T. Falk,et al.  To earn is not enough: A means-end analysis to uncover peer-providers' participation motives in peer-to-peer carsharing , 2017 .

[18]  Yoonhyuk Jung,et al.  User goals in social virtual worlds: A means-end chain approach , 2010, Comput. Hum. Behav..

[19]  Vero Vanden Abeele,et al.  Motivation profiles of online Poker players and the role of interface preferences: A laddering study among amateur and (semi-) professionals , 2014, Comput. Hum. Behav..

[20]  Patricia R Todd,et al.  Gender Differences in Perceptions of Trolling in Livestream Video Broadcasting , 2019, Cyberpsychology Behav. Soc. Netw..

[21]  Dong-Mo Koo,et al.  The fundamental reasons of e-consumers' loyalty to an online store , 2006, Electron. Commer. Res. Appl..

[22]  Qun Zhao,et al.  Determinants of live streamers' continuance broadcasting intentions on Twitch: A self-determination theory perspective , 2017, Telematics Informatics.

[23]  An Examination of Personal Values and Value Systems of Chinese and U.S. Business Students. , 2012 .

[24]  E. Katz.  Mass Communications Research and the Study of Popular Culture: An Editorial Note on a Possible Future for This Journal , 1959 .

[25]  Paul A. Pavlou,et al.  Swift Guanxi in Online Marketplaces: The Role of Computer-Mediated Communication Technologies , 2014, MIS Q..

[26]  Pablo Rodriguez,et al.  I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system , 2007, IMC '07.

[27]  Chin-Feng Lin,et al.  Constructing a hybrid hierarchical value map to understand young people’s perceptions of social networking sites , 2020, Behav. Inf. Technol..

[28]  Jerry C. Olson,et al.  Consumer behavior & marketing strategy , 2010 .

[29]  P. Homer,et al.  A structural equation test of the value-attitude-behavior hierarchy. , 1988 .

[30]  Juho Hamari,et al.  Social motivations of live-streaming viewer engagement on Twitch , 2018, Comput. Hum. Behav..

[31]  S. Schwartz.  Universals in the Content and Structure of Values: Theoretical Advances and Empirical Tests in 20 Countries , 1992 .

[32]  Kristine Ask,et al.  The new practices and infrastructures of participation: how the popularity of Twitch.tv challenges old and new ideas about television viewing , 2018, Information, Communication & Society.

[33]  Yu Wang,et al.  Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification framework , 2017, Comput. Hum. Behav..

[34]  Enrico Gandolfi.  Enjoying death among gamers, viewers, and users: A network visualization of Dark Souls 3’s trends on Twitch.tv and Steam platforms , 2018, Inf. Vis..

[35]  M. Rokeach.  The Nature Of Human Values , 1974 .

[36]  Joanna Melancon,et al.  Gender and live-streaming: source credibility and motivation , 2017 .

[37]  D. Y. Wohn,et al.  Live Streaming, Playing, and Money Spending Behaviors in eSports , 2019, Games Cult..

[38]  Jörg Heinze,et al.  Ladders to m-commerce resistance: A qualitative means-end approach , 2017, Comput. Hum. Behav..

[39]  Agam Gupta,et al.  Playing games, receiving gifts, creating experiences and building brands , 2016 .

[40]  Nicholas David Bowman,et al.  Setting the digital stage: Defining game streaming as an entertainment experience , 2019, Entertain. Comput..

[41]  Yu-Ling Lin,et al.  Digital educational game value hierarchy from a learners' perspective , 2014, Comput. Hum. Behav..

[42]  T. J. Reynolds,et al.  Understanding consumer decision making : the means-end approach to marketing and advertising strategy , 2001 .

[43]  Xiaotong Liu,et al.  Why should I pay for e-books?: An empirical study to investigate Chinese readers' purchase behavioural intention in the mobile era , 2017, Electron. Libr..

[44]  Sara R. Berzenski,et al.  Women’s Experiences in eSports: Gendered Differences in Peer and Spectator Feedback During Competitive Video Game Play , 2018 .

[45]  Adam N. Joinson,et al.  Looking at, looking up or keeping up with people?: motives and use of facebook , 2008, CHI.

[46]  Jerry C. Olson,et al.  Means-end chains: Connecting products with self , 1991 .

[47]  Peiyu Pai,et al.  User adoption of social networking sites: Eliciting uses and gratifications through a means-end approach , 2013, Comput. Hum. Behav..

[48]  Juho Hamari,et al.  What is eSports and why do people watch it? , 2017, Internet Res..

[49]  Klaus G. Grunert,et al.  MEANS-END CHAINS AND LADDERING : AN INVENTORY OF PROBLEMS AND AN AGENDA FOR RESEARCH , 1998 .

[50]  Wei Gao,et al.  How does social presence influence SNS addiction? A belongingness theory perspective , 2017, Comput. Hum. Behav..

[51]  Yi-Sheng Wang,et al.  User experiences in live video streaming: a netnography analysis , 2019, Internet Res..

[52]  John Short,et al.  The social psychology of telecommunications , 1976 .

[53]  Paul John Hopkinson,et al.  Fundamentals of Marketing , 1989 .

[54]  T. J. Reynolds,et al.  Laddering theory, method, analysis, and interpretation. , 2001 .

[55]  Joseph Macey,et al.  Content structure is king: An empirical study on gratifications, game genres and content type on Twitch , 2017, Comput. Hum. Behav..

[56]  Tobias Schaefers,et al.  Exploring carsharing usage motives: A hierarchical means-end chain analysis , 2013 .

[57]  K. Grunert,et al.  Measuring subjective meaning structures by the laddering method: Theoretical considerations and methodological problems , 1995 .

[58]  Yoonhyuk Jung,et al.  Virtual goods, real goals: Exploring means-end goal structures of consumers in social virtual worlds , 2014, Inf. Manag..

[59]  Tillmann Wagner,et al.  Towards a hierarchical theory of shopping motivation , 2010 .

[60]  R. Pitts,et al.  Consumers' evaluative structures in two ethical situations: A means-end approach , 1991 .