Determining the Effect of Users’ Mobile Phone on Design Preference via Interactive Genetic Algorithms

This study uses an Interactive Genetic Algorithm (IGA), a design space searching method, to determine the degree to which a user’s current mobile phone impacts their design preference, and how features in a product can change preference. IGAs mimic evolution by iteratively converging towards a design while exploring a design space through random mutations. 20 participants, 10 current Apple iPhone owners, and 10 non-iPhone owners were asked to use a web-based IGA tool to design touchscreen and non-touchscreen phones for dialing use only. Similar to other IGA mobile phone work (Nathan-Roberts & Liu 2010), the IGA varied screen size, button spacing, and phone radius independently. Results showed iPhone users, and non-iPhone users did have different design preferences, but that there was a bigger difference between touchscreen phone owners (iPhone and non-iPhone touchscreen phones), and non-touchscreen phone owners. Overall participants had significantly different preferences for touchscreen and non-touchscreen designs for all variables except for the vertical button spacing, and phone radius. This work is part of a larger research study of aesthetic ergonomics of mobile phones, specifically looking at usability, and the capacity of users to combine multiple goals in design. Future research needs are discussed, including further testing the effect of non-iPhone touchscreen phone ownership.

[1]  Jarod C. Kelly,et al.  Interactive genetic algorithms for shape preference assessment in engineering design , 2008 .

[2]  Paul E. Green,et al.  Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice , 1990 .

[3]  Franci Pivec,et al.  Measuring the information society , 2003 .

[4]  P. Jordan.  Human factors for pleasure in product use. , 1998, Applied ergonomics.

[5]  Yili Liu,et al.  Evaluation and Improvement of Interface Aesthetics with an Interactive Genetic Algorithm , 2009, Int. J. Hum. Comput. Interact..

[6]  Yili Liu,et al.  The aesthetic and the ethic dimensions of human factors and design , 2003, Ergonomics.

[7]  Gregory H. Wakefield,et al.  Efficient perceptual tuning of hearing aids with genetic algorithms , 2004, IEEE Transactions on Speech and Audio Processing.

[8]  Dan Nathan-Roberts,et al.  Content Analysis of Literature on Mobile Phone Design Features , 2009 .

[9]  Clive Richards,et al.  The Blind Watchmaker , 1987, Bristol Medico-Chirurgical Journal.

[10]  John Hewitt,et al.  Industrial Design: Reflections of a Century , 1995 .

[11]  Dan Nathan-Roberts,et al.  Investigation of Relative Mobile Phone Size Preference Using Interactive Genetic Algorithms , 2010 .

[12]  한성호,et al.  Identifying mobile phone design features critical to user satisfaction , 2001 .

[13]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[14]  D. Hensher,et al.  Stated Choice Methods: Analysis and Applications , 2000 .

[15]  Henry Been-Lirn Duh,et al.  Factors Affecting Emotional Responses in Mobile Phone Design Evaluation , 2006 .

[16]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[17]  Kevin Otto,et al.  Product Design: Techniques in Reverse Engineering and New Product Development , 2000 .

[18]  Sung-Bae Cho,et al.  Towards Creative Evolutionary Systems with Interactive Genetic Algorithm , 2002, Applied Intelligence.

[19]  Shang H. Hsu,et al.  Perceptual factors underlying user preferences toward product form of mobile phones , 2001 .

[20]  Jarod C. Kelly,et al.  The Development of a Tool for the Preference Assessment of the Visual Aesthetics of an Object Using Interactive Genetic Algorithms , 2005 .

[21]  Yili Liu,et al.  Engineering aesthetics and aesthetic ergonomics: Theoretical foundations and a dual-process research methodology , 2003, Ergonomics.

[22]  Panos Y. Papalambros,et al.  Evidence for using Interactive Genetic Algorithms in shape preference assessment , 2011 .

[23]  Yili Liu,et al.  Computational modeling and experimental investigation of effects of compositional elements on interface and design aesthetics , 2006, Int. J. Hum. Comput. Stud..

[24]  F. Williams.  Measuring the Information Society , 1988 .

[25]  Yili Liu,et al.  Effects of Symmetry and Number of Compositional Elements on Interface and Design Aesthetics , 2006, Int. J. Hum. Comput. Interact..

[26]  P. Evans,et al.  What is cell phone elbow, and what should we tell our patients? , 2009, Cleveland Clinic Journal of Medicine.