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| Author | Data sources | Sample | Major findings |
|
| Li et al. [11] | Body pressure measurement system and cushion comfort questionnaire | 16 adult college student volunteers (8 male and 8 female) | Both the seat cushion contour and the sitting posture result in significant pressure distribution differences, while the seat cushion contour additionally results in changes in pressure parameters, and the sitting posture affects the location of peak pressure. |
| Choi et al. [12] | Elasticity measurement system | Seven healthy male students participated in the experiment and had no musculoskeletal disorders | Proposed a model of the self-adjustable seats (SSA seats) that have a uniform and improved pressure distribution, compared to the conventional seat, in various sitting postures; the contact area between the seat and user is enlarged, and the pressure concentrated on the ischial bone is lowered. |
| Fasulo et al. [13] | A pressure data acquisition system, a photo/video-graphic acquisition system, and a (dis)comfort questionnaire | Twenty-five students (12 females, 13 males), all volunteers. None had a history of musculoskeletal diseases | In our study, however, the movements were obligatory as subjects had to write or listen within a limited space, with no possibility to change the combo-desk layout. We thus observed the opposite result: a decrease in discomfort when the subject changed position. |
| Chen et al. [14] | Online-review analysis and online questionnaire investigations | Using web crawler tools, the online reviews were collected from a microblogging platform | This research constructs an index system of HSR passenger satisfaction evaluation based on online-review analysis and evaluates the process by using LSGDM approaches. |
| Estrada and Vea [15] | Accelerometer sensor of smartphones and JACK Siemens software | Some participant | This study concludes that each person has different body frames that require different degrees in recognizing proper and improper sitting posture. |
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