Optimal control location for the customer-oriented design of smart phones

Kim, Taeil; Jung, Eui S.; Im, Youngjae

doi:10.1016/j.ins.2013.05.034

Cited by 15 publications

(13 citation statements)

References 25 publications

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“…Product attributes can evoke users' affection responses, and users' affections before purchasing mainly consist of amazement, contentment, pleasure, and hopefulness (Seva & Helander, 2009). Beauty perception stimulated by product form can be measured with delicate, integrated, symmetrical, and colorful aspects (Kim, Jung, & Im, 2014). Apparent usability evoked by the visual usability of products consists of layout, ease of use, and friendliness of appearance (Mugge & Schoormans, 2012).…”

Section: Indexes Of Visual Aestheticmentioning

confidence: 99%

Using event related potentials to investigate visual aesthetic perception of product appearance

Ding

Guo

et al. 2017

Hum Ftrs & Erg Mfg Svc

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Visual aesthetic directly affects the user's purchase decision and results from the user's analysis and judgment after perceiving product appearance. Therefore, understanding the neural mechanisms of visual experience is critical for product design. This study combined subjective evaluation with ERPs (event‐related potentials) to investigate the user's aesthetic experience as evoked by smartphones. A visual aesthetic scale was constructed, and the results from the questionnaire were used to verify the reliability of the aesthetic scale. Before the ERPs experiment was constructed, smartphones were divided into higher visual aesthetic and lower visual aesthetic based on subjective evaluation according to the aesthetic scale. An amended oddball paradigm was then used in the ERPs experiment. Landscapes were presented as rare targets, while smartphone pictures were presented as frequent nontarget stimuli. The ERPs were then averaged separately for each aesthetic type. Two negative components were recorded and compared with respect to two aesthetic types on the participants’ prefrontal, frontal, and central sites. The smartphone pictures with lower scores of visual aesthetic elicited larger amplitudes of N100/N200 than those with higher scores according to the within‐subjects, repeated‐measures analysis of variance. The exploring of neural responses correlated with visual aesthetic can provide an accurate method of measuring the user's perception and can help marketers know which product gives the user a higher visual aesthetic experience. The difference of ERPs may be taken as an evaluating indicator of product design.

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Section: Indexes Of Visual Aestheticmentioning

confidence: 99%

Using event related potentials to investigate visual aesthetic perception of product appearance

Ding

Guo

et al. 2017

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

“…The previous studies [8,9] derived the discomfort area or preferable zone based on a single hand control. It is notable that the control area of both hands is somewhat larger than that of a single hand control at the same level of preference.…”

Section: Discussionmentioning

confidence: 99%

“…The tasks were basically identical to the previous studies [8,9]. During this experiment, the subjects were asked to perform the menu selection in the use of handheld devices by both hands.…”

Section: Tasksmentioning

confidence: 99%

I8-2　Comparative Study on User Preference of Handheld Device based on Grip Types

Im¹,

Park

Kim

2017

The Japanese journal of ergonomics

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This study mainly aims to investigate critical factors that enhance usability and propose the preference contour of control location for the handheld device according to the grip posture. To achieve these goals, the grip postures while using the handheld devices were firstly categorized based on representative user activity and product geometry features. As a result, a hierarchical tree of grip posture classification was constructed. Meanwhile, an empirical test was conducted through a series of selection task on the handheld device interface. The grip type (three types of both hands grip), form factor (product width and thickness) and user's hand length were manipulated as an independent variable. The subjective preference score was measured to evaluate the user satisfaction according to different control locations. The results of experiment show that the form factor had a significant effect on user preference. In addition, iso-preference contours employed by Support Vector Machine (SVM) were derived to suggest the preferable control zone. This research will be expected to contribute to practical guidelines for the layout of various functions on a display.

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“…Good input functions can greatly affect users' emotional state when using a system and may also indirectly affect work performance (Mijailovic´& Milic´ev, 2014;Muji, 2015). It is worth noting whether data are entered correctly at the start of a work session, as incorrectly entered data may generate unexpected results (Chen, Rau, & Chen, 2014;Kim et al, 2014). Therefore, we propose the following hypotheses:…”

Section: Input Functionmentioning

confidence: 99%

“…In general, the design of system software and hardware and users' intentions are closely related to the performance of actual system use (Kim, Jung, & Im, 2014; Lau & Oger, 2012). Most researchers use the Technology Acceptance Model (TAM, as shown in Figure 1) to explore user intentions of information systems, and the model is mainly used to predict the behavioral intentions of users (Davis, 1989).…”

Section: Research Purposementioning

confidence: 99%

Using a Two-Stage System Evaluation Approach to Explore the New Adoption of an Information System in the Mobile Era

Chen

Liu

2017

Journal of Educational Computing Research

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Currently, e-learning systems are being widely used in all stages of education. However, it is difficult for school administrators to accurately assess the actual usage performance of a new system, especially when an organization wishes to update the system for users from different backgrounds using new devices such as smartphones. To allow school administrators to conduct upgrades of e-learning systems that take into consideration students' current usage conditions, this study proposed a two-stage system evaluation approach to explore the adoption of new systems. We collected 352 samples in Stage I. The goal of this Stage I was to propose a research model to understand the usage intentions of college students toward campus e-learning systems and also the factors which showed significant differences between PC and smartphone usage. A total of 30 trained students participated in Stage II. The goal of Stage II was to propose a system performance evaluation method to evaluate the performance of the new and existing systems according to the concerned factors of smartphone users after actual system use. Finally, based on our research model and system performance evaluation method, we put forward conclusions and suggestions that schools could use as references for future system procurements and updates.

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Optimal control location for the customer-oriented design of smart phones

Cited by 15 publications

References 25 publications

Using event related potentials to investigate visual aesthetic perception of product appearance

Using event related potentials to investigate visual aesthetic perception of product appearance

I8-2　Comparative Study on User Preference of Handheld Device based on Grip Types

Using a Two-Stage System Evaluation Approach to Explore the New Adoption of an Information System in the Mobile Era

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Optimal control location for the customer-oriented design of smart phones

Cited by 15 publications

References 25 publications

Using event related potentials to investigate visual aesthetic perception of product appearance

Using event related potentials to investigate visual aesthetic perception of product appearance

I8-2 Comparative Study on User Preference of Handheld Device based on Grip Types

Using a Two-Stage System Evaluation Approach to Explore the New Adoption of an Information System in the Mobile Era

Contact Info

Product

Resources

About

I8-2　Comparative Study on User Preference of Handheld Device based on Grip Types