Sustainable usage through emotional engagement: a user experience analysis of an adaptive driving school application

This paper explores the factors affecting sustainable usage of digital services, such as mobile learning (m-learning) applications. We define a conceptual model of digital service sustainability and its measurement indicators and criteria. We assess the conceptual model by applying it to an adaptive m-learning application, which provides theory and assessment for driving school students based on their competence and learning progress. Additionally, the application provides mandatory self-evaluation reports to instructors after each practical driving session. The application assessment focused on how students’ performed the predefined tasks at a usability laboratory. The assessment was based on educational components in conjunction with user experience factors of delightfulness, adjustability, satisfaction, and reliability. The key qualitative performance aspects proved to be user-centered (e.g. individual differences in cognitive and learning capabilities), UI-focused (e.g. interaction and adaptability to screen resolution), and content-related (e.g. contextual delivery, emotional appeal, adaptability). These elements resulted in overall delightful and effortless experience. The evaluation results indicate that the user experience factors impact sustainable usage because students are emotionally attached to the application. Therefore, we suggest that emotional attachment assessment results may serve as an indicator for sustainability of m-learning applications. These results help mobile application designers to design sustainable applications.

[1]  Turkka Keinonen,et al.  User-centered design and fundamental need , 2008, NordiCHI.

[2]  Morten Hertzum,et al.  Images of Usability , 2010, Int. J. Hum. Comput. Interact..

[3]  Christine L Borgman,et al.  Access to Knowledge: New Information Technologies and the Emergence of the Virtual University , 2001 .

[4]  F. Herzberg One More Time: How Do You Motivate Employees? , 2008 .

[5]  Birgit Penzenstadler,et al.  Towards a definition of sustainability in and for software engineering , 2013, SAC '13.

[6]  David Watson,et al.  Positive and Negative Affect Schedule , 2011 .

[7]  Amir Dirin,et al.  mLUX: Usability and User Experience Development Framework for M-Learning , 2015, Int. J. Interact. Mob. Technol..

[8]  Donald A. Norman,et al.  Emotional design , 2004, UBIQ.

[9]  Virpi Roto,et al.  USER EXPERIENCE WHITE PAPER Bringing clarity to the concept of user experience , 2011 .

[10]  P. L. Broadhurst,et al.  Emotionality and the Yerkes-Dodson law. , 1957, Journal of experimental psychology.

[11]  T. Dalgleish Basic Emotions , 2004 .

[12]  Emma Nuraihan Mior Ibrahim,et al.  Trust Contributing Factors in M-Learning Technology , 2014 .

[13]  Daniel Su Kuen Seong,et al.  Usability guidelines for designing mobile learning portals , 2006, Mobility '06.

[14]  Joonwon Lee,et al.  Hooked on smartphones: an exploratory study on smartphone overuse among college students , 2014, CHI.

[15]  Matti J. Haverila Mobile Phone Feature Preferences, Customer Satisfaction and Repurchase Intent among Male Users , 2011 .

[16]  B. A. Conway,et al.  The effects of laforin, malin, Stbd1, and Ptg deficiencies on heart glycogen levels in Pompe disease mouse models , 2015 .

[17]  Naveen Kumar,et al.  Sentence Emotion Analysis and Recognition Based on Emotion Words Using Ren-CECps ∗ , 2010 .

[18]  Phil Turner,et al.  Emotional and aesthetic attachment to digital artefacts , 2013, Cognition, Technology & Work.

[19]  Amir Dirin,et al.  Adaptive M-learning Application for Driving Licencess Candidates Based on UCD for M-learning Framework , 2014, CSEDU.

[20]  E. Peacock,et al.  The stress appraisal measure (SAM): A multidimensional approach to cognitive appraisal , 1990 .

[21]  Richard E. Mayer,et al.  Students' beliefs about mobile devices Vs. desktop computers in South Korea and the United States , 2012, Comput. Educ..

[22]  Xuehong Du,et al.  Understanding customer satisfaction in product customization , 2006 .

[23]  J. Wolpe Cognitive therapy: Basics and beyond: By Judith Beck Guilford Press, New York, 1995 , 1996 .

[24]  M. Schweitzer,et al.  Feeling and believing: the influence of emotion on trust. , 2003, Journal of personality and social psychology.

[25]  Markus T Mattsson,et al.  The complex relationship between emotions, approaches to learning, study success and study progress during the transition to university , 2016, Higher Education.

[26]  Michael J E Sternberg,et al.  Integrative top-down system metabolic modeling in experimental disease states via data-driven Bayesian methods. , 2008, Journal of proteome research.

[27]  M. Hassenzahl,et al.  Designing Moments of Meaning and Pleasure. Experience Design and Happiness , 2013 .

[28]  Stephan Riek,et al.  Physiological measurement of anxiety to evaluate performance in simulation training , 2013, Cognition, Technology & Work.

[29]  Chris Argyris,et al.  Satisfactions in the White Collar Job. , 1954 .

[30]  John M. Gottman,et al.  The Specific Affect Coding System (SPAFF). , 2007 .

[31]  Frédéric F. Brunel,et al.  Linking thoughts to feelings: Investigating cognitive appraisals and consumption emotions in a mixed-emotions context , 2002 .

[32]  Lorne J. Kavic Canada-Japan Relations , 1971 .

[33]  Gaetano Cascini,et al.  A framework for user experience, needs and affordances , 2014 .

[34]  Marco Aurisicchio,et al.  THE SCENARIO OF USER EXPERIENCE , 2011 .

[35]  M. Teplan FUNDAMENTALS OF EEG MEASUREMENT , 2002 .

[36]  Harry Bouwman,et al.  Analysis of users and non-users of smartphone applications , 2010, Telematics Informatics.

[37]  S. Shyam Sundar,et al.  The effects of immersive tendency and need to belong on human-robot interaction , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[38]  L. F. Barrett,et al.  Experience Sampling Methods: A Modern Idiographic Approach to Personality Research. , 2009, Social and personality psychology compass.

[39]  Michael Glanznig User Experience Research: Modelling and Describing the Subjective , 2012 .

[40]  Carl W. Turner A Strategic Approach to Metrics for User Experience Designers , 2011 .

[41]  Brian O'Neill,et al.  Trust in the information society , 2012, Comput. Law Secur. Rev..

[42]  Xavier Franch,et al.  Sustainability in software engineering: A systematic literature review , 2012, EASE.

[43]  Noel Entwistle,et al.  Motivational Factors in Students' Approaches to Learning , 1988 .

[44]  K. Scherer What are emotions? And how can they be measured? , 2005 .

[45]  Dowming Yeh,et al.  What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction , 2008, Comput. Educ..

[46]  Diana Liverman,et al.  Global sustainability: Toward definition , 1987 .

[47]  J. Beck,et al.  Cognitive Therapy: Basics and Beyond , 1995 .

[48]  Sarah Elaine Eaton Formal, Non-Formal and Informal learning: The Case of Literacy, Essential Skills, and Language Learning in Canada. , 2010 .

[49]  David Dorman The case for open source software in the library market , 2004, UBIQ.

[50]  Christer Carlsson,et al.  Factors driving the adoption of m-learning: An empirical study , 2010, Comput. Educ..

[51]  N. C. Morse,et al.  Satisfactions in the white-collar job , 1977 .

[52]  Michael G. Morris,et al.  User Acceptance of Information Technology: Theories and Models , 1996 .

[53]  Hamido Fujita,et al.  Towards Developing Adjustable Software: A Case Study with the Lyee Approach , 2006, SoMeT.

[54]  Sylvia D. Kreibig,et al.  Autonomic nervous system activity in emotion: A review , 2010, Biological Psychology.

[55]  Carlo Strapparava,et al.  Learning to identify emotions in text , 2008, SAC '08.

[56]  F. Herzberg One more time: how do you motivate employees? 1968. , 2003, Harvard business review.

[57]  Jettie Hoonhout,et al.  Functional Fun with Tangible User Interfaces , 2007, 2007 First IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning (DIGITEL'07).

[58]  P. Ekman,et al.  Facial action coding system: a technique for the measurement of facial movement , 1978 .

[59]  Aaron Marcus,et al.  Fun! fun! fun! in the user experience we just wanna have fun...don't we? , 2007, Interactions.

[60]  Li Chen,et al.  Evaluating recommender systems from the user’s perspective: survey of the state of the art , 2012, User Modeling and User-Adapted Interaction.

[61]  Kenneth Ka Kei Kwong Effects of service delivery on customer delight : an experimental approach in a restaurant chain , 2006 .

[62]  D. Watson,et al.  Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.

[63]  Virpi Roto,et al.  Understanding, scoping and defining user experience: a survey approach , 2009, CHI.

[64]  T. Allen,et al.  Toward a definition of sustainability , 1994 .

[65]  Hilary Hutchinson,et al.  Measuring the user experience on a large scale: user-centered metrics for web applications , 2010, CHI.

[66]  Vincent G. Duffy,et al.  User Experience Design Based on Eye-Tracking Technology: A Case Study on Smartphone APPs , 2017 .