How do hedonic Design Features Influence an Application's Usage

Mobile applications (apps) have permeated every walk of our life. This has motivated many companies to jump onto the «mobile wave» and develop specific apps for their products and services. With the growing number of apps, it has become ever more difficult for companies to arrest attention and to motivate users to continuously use the installed apps. A strategy that frequently is followed is to «beautify» primarily utilitarian apps with hedonic design features in order to increase enjoyment. The current study therefore attempts to understand what effects do hedonic design features have on the usage of utilitarian apps. Our findings show that the implementation of hedonic design features goes along with two effects. First, the general duration how long a user uses an app is increased. Second, there is an inadvertent side effect in that hedonic design features negatively impact the usage duration of an app's utilitarian functionality. The paper concludes with the discussion of theoretical and practical implications of these findings.

[1]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[2]  Niels Henze,et al.  Observational and experimental investigation of typing behaviour using virtual keyboards for mobile devices , 2012, CHI.

[3]  Liqiong Deng,et al.  User experience, satisfaction, and continual usage intention of IT , 2010, Eur. J. Inf. Syst..

[4]  David Meyer,et al.  Reconsidering the Adoption Process: Enjoyment and Social Norms — Antecedents of Hedonic Mobile Technology Use , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[5]  Carl Obermiller,et al.  Varieties of Mere Exposure: The Effects of Processing Style and Repetition on Affective Response , 1985 .

[6]  L. Festinger,et al.  A Theory of Cognitive Dissonance , 2017 .

[7]  R. Zmud,et al.  Information technology implementation research: a technological diffusion approach , 1990 .

[8]  Sangaralingam Kajanan,et al.  Takeoff and Sustained Success of Apps in Hypercompetitive Mobile Platform Ecosystems: An Empirical Analysis , 2012, ICIS.

[9]  A. Chernev Goal-Attribute Compatibility in Consumer Choice , 2004 .

[10]  Heshan Sun,et al.  Causal Relationships between Perceived Enjoyment and Perceived Ease of Use: An Alternative Approach , 2006, J. Assoc. Inf. Syst..

[11]  Felix B. Tan,et al.  Antecedents of perceived playfulness: an exploratory study on user acceptance of general information-searching websites , 2004, Inf. Manag..

[12]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[13]  Robin L. Wakefield,et al.  Mobile computing: a user study on hedonic/utilitarian mobile device usage , 2006, Eur. J. Inf. Syst..

[14]  Florian Michahelles,et al.  Usage Analysis of a Mobile Bargain Finder Application , 2012, EC-Web.

[15]  Adrian Holzer,et al.  Mobile application market: A developer's perspective , 2011, Telematics Informatics.

[16]  Xue Yang,et al.  The Conflict Between Absorption and Self-Control in Playing Computer Games: How Do Free Trial Restrictions Influence Playing Experience and Purchase Decision Making , 2008, ICIS.

[17]  Kar Yan Tam,et al.  Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet , 2006, Decis. Support Syst..

[18]  J. Lygeros,et al.  Decision Making I , 2014 .

[19]  Ping Zhang,et al.  The Affective Response Model: A Theoretical Framework of Affective Concepts and Their Relationships in the ICT Context , 2013, MIS Q..

[20]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[21]  Robert Winter,et al.  On the Use of Experiments in Design Science Research: A Proposition of an Evaluation Framework , 2014, Commun. Assoc. Inf. Syst..

[22]  Anol Bhattacherjee,et al.  Extending technology usage models to interactive hedonic technologies: a theoretical model and empirical test , 2010, Inf. Syst. J..

[23]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[24]  Paramvir Bahl,et al.  Anatomizing application performance differences on smartphones , 2010, MobiSys '10.

[25]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[26]  M. Speekenbrink,et al.  depmixS4: An R Package for Hidden Markov Models , 2010 .

[27]  Elena Karahanna,et al.  The Embeddedness of Information Systems Habits in Organizational and Individual Level Routines: Development and Disruption , 2013, MIS Q..

[28]  A. Adam Whatever happened to information systems ethics? Caught between the devil and the deep blue sea , 2004 .

[29]  W. E. Baker,et al.  When Can Affective Conditioning and Mere Exposure Directly Influence Brand Choice , 1999 .

[30]  Robert E. Kraut,et al.  Building Member Attachment in Online Communities: Applying Theories of Group Identity and Interpersonal Bonds , 2012, MIS Q..

[31]  Wynne W. Chin,et al.  Looking Forward: Toward an Understanding of the Nature and Definition of IT Acceptance , 2007, J. Assoc. Inf. Syst..

[32]  P. Patterson,et al.  The Roles of Habit, Self-Efficacy, and Satisfaction in Driving Continued Use of Self-Service Technologies , 2013 .

[33]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[34]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[35]  Xiang Fang,et al.  An examination of different explanations for the mere exposure effect , 2007 .

[36]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[37]  Lei-da Chen An Extended Model of IS Continuance for Information Oriented Mobile Applications , 2010, 2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR).

[38]  Kerstin Vogler,et al.  Longitudinal And Panel Data Analysis And Applications In The Social Sciences , 2016 .

[39]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[40]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[41]  Hock Chuan Chan,et al.  The Moderating Effects of Utilitarian and Hedonic Values on Information Technology Continuance , 2012, TCHI.

[42]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[43]  Heather L. O’Brien Chapter 4 Weaving the Threads of Experience into Human Information Interaction (HII): Probing User Experience (UX) for New Directions in Information Behaviour , 2011 .

[44]  P. Pliner The Effects of Mere Exposure on Liking for Edible Substances , 1982, Appetite.

[45]  Matti Rossi,et al.  The impact of use context on mobile services acceptance: The case of mobile ticketing , 2009, Inf. Manag..

[46]  Confirmation Model UNDERSTANDING INFORMATION SYSTEMS CONTINUANCE: AN EXPECTATION- , 2001 .

[47]  Alexander Serenko,et al.  User acceptance of hedonic digital artifacts: A theory of consumption values perspective , 2010, Inf. Manag..

[48]  Harri Oinas-Kukkonen,et al.  Persuasive Systems Design: Key Issues, Process Model, and System Features , 2009, Commun. Assoc. Inf. Syst..

[49]  R. Zajonc Mere Exposure: A Gateway to the Subliminal , 2001 .