Next Article in Journal
Effects of Mix Factors on the Mechanistic-Empirical Flexible Pavement Design
Previous Article in Journal
Reliability-Based Design Optimization of Load Sharing Systems Using SSI-Markov Models
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Influence of the Interface Button Design of Touch Screens on Operation and Interpretation by Elderly and Middle-Aged Adults

Institute of Creative Design and Management, National Taipei University of Business, Taoyuan City 324, Taiwan
Designs 2019, 3(3), 35; https://doi.org/10.3390/designs3030035
Submission received: 26 May 2019 / Revised: 18 June 2019 / Accepted: 5 July 2019 / Published: 9 July 2019

Abstract

:
Body function begins to decline in middle age, with changes becoming increasingly noticeable over time. With the popularization of educational and information technology, people know more about healthcare and are becoming accustomed to self-testing using health equipment. Technological changes are reflected in products, which present innovations including the switch from traditional to touch-controlled interface designs. This can cause difficulties in the interpretation and interface operation for older adults, who may be facing physiological and psychological alterations. Understanding users’ physiological limitations has become an important aspect of product design. This study explored the effects of physiological limitations on touch-screen operation in middle-aged and elderly people, specifically regarding button type, display position, and button size. A total of 64 participants were included in the study: 32 middle-aged people (aged 45–64 years) and 32 elderly people (65 years of age and older). Each participant was asked to complete 32 tasks (two button categories × four button sizes × four presentation positions). The results revealed no differences between the elderly and the middle-aged groups with regard to the interpretation of image buttons and text buttons; however, button size affected the operation and interpretation time. Middle-aged participants demonstrated good interpretation performance when the buttons were displayed in the upper or lower part of the screen, whereas elderly participants only had a good interpretation performance when the buttons were in the upper part. For both groups, the ideal image button size was 16 mm with a text font size of 22.

1. Introduction

1.1. Social Status

Between 2011 and 2015, Taiwan’s population increased by 243,000. During this time, the younger population (0–14 years of age) decreased by 291,000, while the working-age population (15–64 years of age) increased by 167,000, and the elderly population (65 years of age and older) increased by 367,000. The elderly population increased each year, while the younger population decreased due to a decline in fertility, leading to the phenomenon of population aging. This will become a major social problem for Taiwan in the future.
According to the National Development Council [1], 72.5% of the working population are aged 15–64 years, and 14.6% are 65 years of age and older (2017 data). By 2065, this is expected to change to 49.7% and 41.26%, respectively, indicating that most people will likely delay their retirement age, and many elderly people will be living alone.

1.2. Status of the Elderly

The definition of middle-aged and elderly varies by country. Typically, middle age is defined as 45 to 65 years of age [2]. Taiwan’s amended Elderly Welfare Act issued in 1997 defined “elderly” as 65 years of age. The current trend, therefore, is to regard those who are 65 and older as elderly [3].
Aging inevitably leads to a decline in physiological functions [4], which may include impairments in vision, hearing, limbs, and mental functioning [5]. The Taiwan Ministry of Health and Welfare [6] reported that 60.9% of patients with chronic diseases are middle-aged adults between 55 and 64 years old. The most prevalent chronic diseases are high blood pressure, hyperlipidemia, osteoporosis, and diabetes. Aging contributes to the deterioration of the cardiovascular system, which is the main cause of the increase in diseases associated with chronic high blood pressure [7,8]. This phenomenon is apparent in both developing and developed countries [9].
Self-monitoring is becoming an increasingly important component of individual health care. The home-based medical electronic market accounted for 20% of the total market of medical electronics in 2010 [10]. As electronic products need to be operated through interfaces, interface design is extremely important.

1.3. Interface Design

Interfaces are composed of various elements, including text, images, colors, and videos. The aesthetic quality of the composition of elements enhances the usability of the product and improves the interaction between the product and the users. Traditional interfaces were primarily presented in plain-text mode, whereas the current trend in interface design is to emphasize graphics display, i.e., a graphic user interface (GUI). Ware [11] suggested that image icons are not only more beautiful but also easier to recognize and remember. On the other hand, Islam and Bouwman [12] found that images could also make it difficult for users to understand their meaning. A user-friendly interface design should be user-centered to ensure quick and accurate interpretation [13,14,15].
Legibility and readability are the keys to interface design, presenting a simple display [16,17] and easy operation options [18,19]. Factors affecting interpretation are message position, message volume, and character size [20,21]. The message is more noticeable when it appears on the right or at the top center and least noticeable when it appears at the bottom right. Bernard, Chaparro, Mills, and Halcomb [22] compared characters in font sizes 10 and 12 and demonstrated that font size 12 was preferred by users. Ramadan [23] found that a white background with black font, size 14, was the most legible.
The popularization of the Internet has driven the development of mobile devices and especially the increasing use of touch-based mobile phones and tablets [24], making communication through interfaces an integral part of daily life [18,25]. Other than the number, size [26], and position of buttons, the touch area is the most important factor affecting the operation of touch screens [27]. In past studies, users have expressed concern regarding the touch area of the screen, as the size of the touch area affects performance and operation [28,29].
Changes in products interface affect not only younger age groups. In fact, with the gradual changes in related products, the user group age range has gradually expanded to include middle-aged and elderly individuals [30,31,32,33]. Elderly people accept the use of technology products to interact with others. However, aging affects their ability to use technology products; they often require more time [29] and experience difficulties when searching for information [34,35]. Elderly users’ interpretation rate is affected by the information presentation time and font size [36,37,38]. Johnson and Finn [39] found that the sans-serif font is easier to read for older users; Charness and Bosman [40] found that, among older users, black and white text and background improved the accuracy of interpretation compared with colorful text and background; no differences were noted for younger age groups.
Touch-screen products are influencing the design of medical and other related products. Touch-screen products have been developed for patients [41,42] and caregivers to help users [43] and practitioners better perform caretaking tasks [44]. With increased knowledge and familiarity, people have become accustomed to using health instruments for self-detection of health changes. However, elderly users may experience difficulties in the operation of these instruments. Therefore, this study uses the interface of health instruments as a research basis and explores the visual and physiological limitations encountered by middle-aged and elderly adults in operating touch interfaces, with the following objectives:
  • Elucidating the effect of different categories of interface on the interpretation time.
  • Understanding the operational differences between image and text buttons.
  • Understanding the operational differences based on button sizes and display positions.

2. Methods

2.1. Testing and Stimuli

The study design was based on the current interface operation mode of medical products. After the participants operated three image buttons (start, measure, end), they were asked to read the numbers presented on the screen. The participants had to evaluate three independent variables: button category, button size, and display position. These varied as follows:
  • Button category: two types, the text button and image button; the text button used the sans-serif font; the text and image button are shown in Figure 1.
  • Button size: four sizes of text buttons, four sizes of image buttons (text button: 22 pt, 18 pt, 14 pt, 10 pt; image button: 16 mm, 12 mm, 9 mm, 5 mm);
  • Presentation position: four positions (top, bottom, left, right).
The order of operation was as follows: start, measure, press end after interpretation, and read the numbers presented on the screen. In order to prevent the subject from interpreting the next button while waiting for the screen to appear, the button was rearranged after the subject operated it. The sequences of appearance of the three buttons and the numbers to interpret were random. The color matching of buttons was based on Ramadan [23], with a combination of white background and black font. Table 1 presents the Commission internationale de l’éclairage (CIE) coordinate values (L, a, b) and RGB color model (RGB ) codes.

2.2. Subjects

According to Gay, Mills, and Airasian [45], a minimum of 30 subjects are required for comparative and relationship studies. A total of 64 participants were recruited for the study: 32 subjects aged between 45 and 64 years (mean: 54.12; SD = 7.54) and 32 subjects aged 65 years and above (mean: 70.59; SD = 3.62). The inclusion criteria were the following: familiar with using touch technology (mobile phones, tablets, etc.) with over six months of experience; literate; corrected visual acuity over 0.8 and no major visual dysfunction (color blindness, amblyopia, blindness); right-handed.

2.3. Instruments

The experimental stimulus was presented on a 9.7 inch tablet computer (Asus T101HA), mounted on a 70 cm-high table. The center of the screen was located 23 cm away from the desktop, and the screen inclination was set at 30°. The subjects completed the test on the screen using one hand, and the responses were recorded by researchers sitting beside them. During the test, the visual distance was fixed at 40 cm by using a support frame. To reduce the test error, there was no glare on the screen.

2.4. Experimental Environment

The study was conducted in the classrooms of a university for elderly people. To avoid interference from surrounding factors, an environment with adequate sunshine, slight noise, and a controlled indoor temperature of 26 °C was chosen as the experiment site. Only one participant and one researcher were present at any time during the test (Figure 2).

2.5. Procedure

Prior to the formal test, researchers introduced subjects to the experimental tools, test samples, and operation instructions. The participants were given time to practice the operation to ensure that they understood the entire procedure and content of the experiment.
During the formal test, the participants were asked to focus on an “X” in the center of the screen. When the participants were ready, they touched the blank area of the screen. The stimulus would then appear in the center of the screen. The stimulus screen was composed of three buttons labeled “start,” “test,” and “end.” The participants needed to touch the “start” button with one hand, at which point, the interpretation position showed the image “000”; at the same time, the three buttons were rearranged. The participants would then re-interpret and press the “test” button. After 3–5 s, a set of numbers appeared on the screen. The three buttons were rearranged again. After interpreting these numbers, the participants touched the “end” button and read out the numbers presented on the screen to complete the test. A computer program was used to control the test sequence; the test sequence needed to follow the order “start”, “test”, and “end”, and, if an error occurred, the operation would not proceed. The operation time was recorded by the computer program. The operation time was calculated from the time the participants touched the “start” button to the time they touched the “end” button. Each participant completed 32 tasks (two button categories × four button sizes × four presentation positions). A total of 32 interface types and a group of numbers were presented randomly. The total test time was approximately 30 min.

3. Results

A total of 64 participants were included in the study: 32 participants each, in the middle-aged and elderly groups. A statistically significant difference in the operation time was observed between the groups (F = 328.69, p = 0.00, <0.001). The operation time for the middle-aged subjects (M = 4.02, SD = 2.07) was shorter than that of the elderly subjects (M = 5.99, SD = 2.81).
There was no significant difference based on the interface type between middle-aged subjects (F = 1.701, p = 0.192 > 0.05) and elderly subjects (F = 0.000, p = 0.985 > 0.05). Both the display position and the button size had significant effects, and they also had interactive effects (Table 2).
Left-stochastic decomposition (LSD) clustering revealed that the middle-aged participants performed better at interpretation when the display position was in the upper (M = 3.904, SD = 2.052) or lower position (M = 3.969, SD = 2.124) than when it was on the right (M = 4.083, SD = 2.056) and left sides (M = 4.111, SD = 2.04). Performance was better when the text button used character size 22 (M = 2.209, SD = 0.500) and when the image button display was size 16 mm (M = 2.357, SD = 0.439). Performance was inferior when the image button size was 5 mm (M = 7.339, SD = 0.738).
The elderly participants performed better at interpretation when the display position was in the upper position (M = 5.689, SD = 2.700) compared to the lower (M = 6.105, SD = 2.882) and left positions (M = 6.175, SD = 2.797). Performance was better when the text button was presented with character size 22 (M = 2.192, SD = 0.457) and the image button size was 16 mm (M = 2.359, SD = 0.626). Performance was worse when the image button size was 5 mm (M = 9.566, SD = 1.141) and when the text button character size was 10 (M = 9.659, SD = 0.946) (Table 3).
Further analysis of the interaction between the position and the size of the buttons indicated that both the position and the size were significant (Table 4).
Table 5 presents the LSD clustering of button positions and sizes for the middle-aged participants. When the button appeared on the top, bottom, and right side, performance was the same for the 16 mm image button and the text button character sizes of 18 or 22.
Table 6 presents the LSD clustering of the position and size of buttons for the elderly participants. Performance was best with the 16 mm image button and the character size 22 for the text button at any position.

4. Discussion

This study explored the interpretation ability of users operating touch-based interface buttons. In contrast to Ware [11], no difference between the elderly and the middle-aged participants in the interpretation of image and text buttons was found. This result may be due to the fact that elderly and middle-aged participants can, nowadays, readily accept technology products [30,31,32,33] and, being used to them, they are able to promptly adapt to interface changes, so that their interpretation of two different interfaces is not affected.
Button size affects operation and interpretation time. These results are consistent with previous findings [29,34,35]. The interface design recommendations reported below are based on the results of this study.
The display position of buttons designed for middle-aged users can be at the top or at the bottom; for elderly users, locating the button at the top of the screen can improve the interpretation performance.
  • Whether it is the text button or image button, elderly users need the largest size button (22 pt and 16 mm), whereas middle-aged users can accept the 18 pt text button.
  • Buttons designed for middle-aged users should not be displayed on the right or left side; those for elderly users should avoid the bottom and the left sides of the screen.
It is worth noting that the interface button designs of many medical products (e.g., sphygmomanometer) currently on the market position buttons at the bottom and on the right side, contrary to the suggestions of this study. Further analysis may be required to determine whether this touch interface configuration or other factors affect outcomes.
The physiological changes caused by aging cannot be rectified by surgery and technological accessories. People are becoming increasingly familiar with technology products; however, it is often more difficult for elderly and middle-aged people to use these products. Touch-based interfaces have changed the market of interface products in recent years. Understanding the capability and physiological limitations faced by users is a topic that requires further investigation. The results of this study can be applied to the touch interface design of products such as sphygmomanometers and measuring instruments. The conclusions of this study provide important references for future research and design work by interface researchers and designers and for care workers for the elderly, to ensure that suitable products for older users are designed, benefitting both users and the medical electronics industry.

Funding

This research was funded by the National Science Council (MOST 105-2410-H-364-008) and National Taipei University of Business.

Acknowledgments

The author gratefully acknowledge the contribution of Wang, Po-Wei for experimental material design.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. National Development Council. Available online: https://www.ndc.gov.tw/ (accessed on 28 April 2018).
  2. Ministry of Justice. Available online: http://law.moj.gov.tw/ (accessed on 12 November 2018).
  3. Chou, H.M. Discussion on the issue of elder. Fu Hsing Kang Acade. J. 2000, 69, 1–28. [Google Scholar]
  4. Paterson, D.H.; Jones, G.R.; Rice, C.L. Ageing and physical activity: Evidence to develop exercise recommendations for older adults. Appl. Physiol. Nutr. Metab. 2007, 32, S69–S108. [Google Scholar] [CrossRef]
  5. Goodpaster, B.H.; Park, S.W.; Harris, T.B.; Kritchevsky, S.B.; Nevitt, M.; Schwartz, A.V.; Simonsick, E.M.; Tylavsky, F.A.; Visser, M.; Newman, A.B. The loss of skeletal muscle strength, mass, and quality in older adults: The health, aging and body composition study. J. Gerontol. Ser. Biol. Sci. Med. Sci. 2006, 61, 1059–1064. [Google Scholar] [CrossRef] [PubMed]
  6. Ministry of Health and Welfare. Available online: http://www.shh.org.tw/ (accessed on 1 July 2018).
  7. Angeli, F.; Verdecchia, P.; Poltronieri, C.; Bartolini, C.; Filippo, V.; D’Ambrosio, C.; Reboldi, G. Ambulatory blood pressure monitoring in the elderly: Features and perspectives. Nutr. Metab. Cardiovasc. Dis. 2014, 24, 1052–1056. [Google Scholar] [CrossRef] [PubMed]
  8. Kapoor, P.; Kapoor, A. Hypertension in the elderly: A reappraisal. Clin. Queries Nephrol. 2013, 2, 71–77. [Google Scholar] [CrossRef]
  9. Kearney, P.M.; Whelton, M.; Reynolds, K.; Muntner, P.; Whelton, P.K.; He, J. Global burden of hypertension: Analysis of worldwide data. Lancet 2005, 365, 217–223. [Google Scholar] [CrossRef]
  10. Institute for Information Industry & Multimedia Consumer Electronics Research Team, The Develop Trend on Global Portable electronics market. Optolink 2010, 85, 60–61.
  11. Ware, C. Information Visualization, 3rd ed-Perception for Design; Morgan Kaufmann: Burlington, MA, USA, 2012; pp. 325–343. [Google Scholar]
  12. Islam, M.N.; Bouwman, H. Towards user-Intuitive web interface sign design and evaluation: A semiotic framework. Int. J. Hum.-Comput. Stud. 2016, 86, 121–137. [Google Scholar] [CrossRef]
  13. Burkolter, D.; Weyers, B.; Kluge, A.; Luther, W. Customization of user interfaces to reduce errors and enhance user acceptance. Appl. Ergonomics 2014, 45, 346–353. [Google Scholar] [CrossRef] [PubMed]
  14. Jansson-Boyd, C.V. The role of touch in marketing: An introduction to the special issue. Psychol. Mark. 2011, 28, 219–221. [Google Scholar] [CrossRef]
  15. Peck, J.; Childers, T. To have and to hold: The influence of haptic information on product judgments. J. Marketing 2003, 67, 35–48. [Google Scholar] [CrossRef]
  16. Yau, Y.J.; Chao, C.J.; Hwang, S.L. Optimization of Chinese interface design in motion environments. Displays 2008, 29, 308–315. [Google Scholar] [CrossRef]
  17. Sheedy, J.; Tai, Y.C.; Subbaram, M.; Gowrisankaran, S.; Hayesm, J. Clear type sub-pixel text rendering: Preference, legibility and reading performance. Displays 2008, 29, 138–151. [Google Scholar] [CrossRef]
  18. Lee, D.; Moon, J.; Kim, Y.J.; Yi, M.Y. Antecedents and consequences of mobile phone usability: Linking simplicity and interactivity to satisfaction, trust, and brand loyalty. Inf. Manag. 2015, 52, 295–304. [Google Scholar] [CrossRef]
  19. Choi, J.H.; Lee, H.J. Facets of simplicity for the smart phone interface: A structural model. Int. J. Hum.–Comput. Stud. 2012, 70, 129–142. [Google Scholar] [CrossRef]
  20. Lee, D.S.; Ko, Y.H.; Shen, I.H.; Chao, C.Y. Effect of light source, ambient illumination, character size, and interline spacing on visual performance and visual fatigue with electronic paper displays. Displays 2011, 32, 1–7. [Google Scholar] [CrossRef]
  21. Ziefle, M. Information presentation in small screen devices: The trade-off between visual density and menu foresight. Appl. Ergon. 2010, 41, 719–730. [Google Scholar] [CrossRef]
  22. Bernard, M.L.; Chaparro, B.S.; Mills, M.M.; Halcomb, C.G. Comparing the effects of text size and format on the readability of computer-displayed Times New Roman and Arial text. Int. J. Hum.-Comput. Stud. 2003, 59, 823–835. [Google Scholar] [CrossRef]
  23. Ramadan, M.Z. Evaluating college students’ performance of Arabic typeface style, font size, page layout and foreground/background color combinations of e-book materials. J. King Saud Univ. Eng. Sci. 2011, 23, 89–100. [Google Scholar] [CrossRef]
  24. Hein, W.; O’Donohoe, S.; Ryan, A. Mobile phones as an extension of the participant observer’s self: Reflections on the emergent role of an emergent technology. Qual. Mark. Res. Int. J. 2011, 14, 258–273. [Google Scholar] [CrossRef]
  25. Paulins, N.; Balina, S.; Arhipova, I. Learning content development methodology for mobile devices. Proced. Comput. Sci. 2015, 43, 147–153. [Google Scholar] [CrossRef]
  26. Huang, Y.C.; Wu, F.G. Visual and manual loadings with QWERTY-like ambiguous keyboards: Relevance of letter-key assignments on mobile phones. Int. J. Ind. Ergon. 2015, 50, 143–150. [Google Scholar] [CrossRef]
  27. Huang, H.; Lai, H. Factors influencing the usability of icons in the LCD touchscreen. Displays 2008, 29, 339–344. [Google Scholar] [CrossRef]
  28. Jung, E.S.; Im, Y. Touchable area: An empirical study on design approach considering perception size and touch input behavior. Int. J. Ind. Ergon. 2015, 49, 21–30. [Google Scholar] [CrossRef]
  29. Lindberg, T.; Näsänen, R.; Müller, K. How age affects the speed of perception of computer icons. Displays 2006, 27, 170–177. [Google Scholar] [CrossRef]
  30. Moisescu, P.C. The social integration of elders through free-time activities. Proced. Soc. Behav. Sci. 2014, 116, 4159–4163. [Google Scholar] [CrossRef]
  31. Im, C.; Park, M. Development and evaluation of a computerized multimedia approach to educate older adults about safe medication. Asian Nurs. Res. 2014, 8, 193–200. [Google Scholar] [CrossRef]
  32. Rodrigues, É.; Carreira, M.; Gonçalves, D. Developing a multimodal interface for the older. Proced. Comput. Sci. 2014, 27, 359–368. [Google Scholar] [CrossRef]
  33. Ryu, M.H.; Kim, S.; Lee, E. Understanding the factors affecting online older user’s participation in video UCC services. Comput. Hum. Behav. 2009, 25, 619–632. [Google Scholar] [CrossRef]
  34. Oehl, M.; Sutter, C. Age-related differences in processing visual device and task characteristics when using technical devices. Appl. Ergon. 2015, 48, 214–223. [Google Scholar] [CrossRef]
  35. Wang, A.H.; Hwang, S.L.; Kuo, H.T. Effects of bending curvature and ambient illuminance on the visual performance of young and elderly participants using simulated electronic paper displays. Displays 2012, 33, 36–41. [Google Scholar] [CrossRef]
  36. Borg, O.; Casanova, R.; Coton, C.; Barla, C.; Bootsma, R.J. Stimulus duration thresholds for reading numerical time information: Effects of visual size and number of time units. Displays 2015, 36, 30–33. [Google Scholar] [CrossRef] [Green Version]
  37. Mahmud, A.A.; Mubin, O.; Shahid, S.; Martens, J.B. Designing social games for children and older adults: Two related case studies. Entertain. Comput. 2010, 1, 147–156. [Google Scholar] [CrossRef]
  38. Huang, K.C.; Yeh, P.C. Numeral size, spacing between targets, and exposure time in discrimination by older people using an LCD monitor. Percept. Mot. Skills 2007, 104, 543–546. [Google Scholar] [CrossRef] [PubMed]
  39. Johnson, J.; Finn, K. Designing User Interfaces for an Aging Population: Towards Universal Design; Morgan Kaufmann: Burlington, MA, USA, 2017; pp. 137–143. [Google Scholar]
  40. Charness, N.; Bosman, E. Human Factors and Design. In Handbook of the Psychology of Aging; Birren, J.E., Schaie, K.W., Eds.; Academic Press: San Diego, CA, USA, 1990; Volume 3, pp. 446–463. [Google Scholar]
  41. Jackson, M.; Peters, J. Introducing touchscreens to black and ethnic minority groups—A report of processes and issues in the three cities project. Health Inf. Libr. J. 2003, 20, 143–149. [Google Scholar] [CrossRef]
  42. Holzinger, A. Finger instead of mouse: Touch screens as a means of enhancing universal access. In Universal Access Theoretical Perspectives, Practice, and Experience; Carbonell, N., Stephanidis, C., Eds.; Springer: Berlin, Germany, 2003; Volume 2615, pp. 387–397. [Google Scholar]
  43. Astell, A.J.; Ellis, M.P.; Bernardi, L.; Alm, N.; Dye, R.; Gowans, G.; Campbell, J. Using a touch screen computer to support relationships between people with dementia and caregivers. Interact. Comput. 2010, 22, 267–275. [Google Scholar] [CrossRef]
  44. Rogers, W.A.; O’Brien, M.A.; McLaughlin, A.C. Selection and design of input devices for assistive technologies. In Proceedings of the 9th International Conference on Control, Automation, Robotics, and Vision, Singapore, Singapore, 5–8 December 2006. [Google Scholar]
  45. Gay, L.R.; Mills, G.E.; Airasian, P. Educational Research Competencies for Analysis and Application, 10th ed.; Pearson: Boston, MA, USA, 2012; pp. 203–226. [Google Scholar]
Figure 1. Image button (left) and text button (right).
Figure 1. Image button (left) and text button (right).
Designs 03 00035 g001
Figure 2. The layout of the experimental setting.
Figure 2. The layout of the experimental setting.
Designs 03 00035 g002
Table 1. CIE coordinate values (L, a, b) and RGB codes.
Table 1. CIE coordinate values (L, a, b) and RGB codes.
ColorCode
CIE (L, a, b,)RGB code value
LabRGB
Background
White9900254254254
Text
Black000000
Table 2. ANOVA table for button categories, presentation positions, button sizes.
Table 2. ANOVA table for button categories, presentation positions, button sizes.
SourceSSdfMSFpEffect Size
Middle-aged
button categories7.26317.2631.7010.1920.002
presentation positions7.20932.4035.1260.002*0.015
button sizes3831.0806638.5131361.9530.000*0.892
presentation positions × button sizes45.644182.5365.4090.000*0.089
Elderly
button categories0.00310.0030.0000.9850.000
presentation positions35.322311.77417.0130.000*0.049
button sizes7270.76261211.7941751.0110.000*0.914
presentation positions × button sizes67.793183.7665.4420.000*0.090
SS: Sum of Squares; df: Degrees of Freedom; MS: Mean Squares; F: F Ratio; p: p Value; *< 0.001.
Table 3. Left-stochastic decomposition (LSD) table of presentation positions and button size for the two groups.
Table 3. Left-stochastic decomposition (LSD) table of presentation positions and button size for the two groups.
SourceMSDLSD Group
Middle-Aged
Presentation positions
top3.9042.052AB
bottom3.9692.124ABC
right4.0832.056 BCD
left4.1112.04 CD
Button size
22 pt2.2090.500A
16 mm2.3570.439A
18 pt2.5820.708 B
12 mm2.8840.635 E
9 mm3.8220.771 C
14 pt3.8370.888 C
10 pt7.1010.960 D
5 mm7.3390.738 F
Elderly
Presentation positions
top5.6892.700A
right5.9992.841 BC
bottom6.1052.882 BCD
left6.1752.797 CD
Button size
22 pt2.1920.457A
16 mm2.3590.626A
18 pt5.0020.697 B
12 mm5.4340.759 C
9 mm6.6031.212 D
14 pt7.1210.963 E
5 mm9.5661.141 F
10 pt9.6590.946 F
Table 4. Interaction between presentation positions and button size.
Table 4. Interaction between presentation positions and button size.
SourceSSdfMSFpEffect Size
Middle-aged
top903.9657129.138188.1590.000*0.842
bottom1030.0217147.146301.9940.000*0.895
left974.2687139.181397.1660.000*0.918
right990.4817141.497402.8040.000*0.919
Elderly
top1658.2627236.895292.5730.000*0.892
bottom1958.2407279.749433.1530.000*0.924
left1809.9267258.561347.0330.000*0.907
right1917.0057273.858482.4700.000*0.932
Table 5. LSD table of presentation positions and button size for the middle-aged participants.
Table 5. LSD table of presentation positions and button size for the middle-aged participants.
SourceM (SD)LSD Group
Middle-aged
top22 pt2.131 (0.580)AB
18 pt2.193 (0.616)AB
16 mm2.408 (0.512)ABC
12 mm2.813 (0.458) BC
9 mm3.791 (0.971) D
14 pt4.064 (1.005) D
10 pt6.388 (1.304) E
5 mm7.446 (0.808) F
bottom22 pt2.168 (0.425)AB
16 mm2.373 (0.410)AB
18 pt2.483 (0.692)ABC
12 mm2.756 (0.480) BC
9 mm3.568 (0.713) D
14 pt3.756 (1.222) D
10 pt7.228 (0.515) E
5 mm7.417 (0.757) E
left22 pt2.223 (0.328)AB
16 mm2.441 (0.360)AB
12 mm2.632 (0.444) B
18 pt3.232 (0.648) C
9 mm3.684 (0.562) D
14 pt3.981 (0.487) E
5 mm7.282 (0.792) F
10 pt7.409 (0.876) F
right16 mm2.205 (0.443)A
22 pt2.315 (0.609)A
18 pt2.421 (0.382)A
12 mm3.339 (0.844) B
14 pt3.547 (0.568) B
9 mm4.243 (0.634) C
5 mm7.214 (0.581) D
10 pt7.379 (0.568) D
Table 6. LSD table of presentation positions and button size for the elderly participants.
Table 6. LSD table of presentation positions and button size for the elderly participants.
SourceM (SD)LSD Group
Elderly
top22 pt2.013 (0.377)A
16 mm2.391 (0.434)A
12 mm5.049 (0.833) B
18 pt5.183 (0.613) B
9 mm5.760 (1.057) C
14 pt6.518 (1.352) D
10 pt9.238 (0.867) E
5 mm9.362 (1.175) E
bottom16 mm2.220 (0.662)A
22 pt2.284 (0.515)A
18 pt4.642 (0.677) B
12 mm5.523 (0.720) C
9 mm7.308 (1.153) D
14 pt7.486 (0.536) D
5 mm9.576 (0.968) E
10 pt9.796 (0.965) E
left22 pt2.344 (0.401)A
16 mm2.641 (0.704)A
18 pt5.110 (0.811) B
12 mm5.840 (0.703) C
9 mm6.495 (1.259) D
14 pt7.380 (0.707) E
5 mm9.371 (1.212) F
10 pt10.222 (0.774) G
right22 pt2.127 (0.464)A
16 mm2.183 (0.592)A
18 pt5.072 (0.558) B
12 mm5.323 (0.560) B
9 mm6.848 (0.818) C
14 pt7.101 (0.774) C
10 pt9.383 (0.879) D
5 mm9.954 (1.145) E

Share and Cite

MDPI and ACS Style

Po-Chan, Y. The Influence of the Interface Button Design of Touch Screens on Operation and Interpretation by Elderly and Middle-Aged Adults. Designs 2019, 3, 35. https://doi.org/10.3390/designs3030035

AMA Style

Po-Chan Y. The Influence of the Interface Button Design of Touch Screens on Operation and Interpretation by Elderly and Middle-Aged Adults. Designs. 2019; 3(3):35. https://doi.org/10.3390/designs3030035

Chicago/Turabian Style

Po-Chan, Yeh. 2019. "The Influence of the Interface Button Design of Touch Screens on Operation and Interpretation by Elderly and Middle-Aged Adults" Designs 3, no. 3: 35. https://doi.org/10.3390/designs3030035

Article Metrics

Back to TopTop