Young Sam Ryu

T-less : A novel touchless human-machine interface based on infrared proximity sensing

In todays industry, intuitive gesture recognition, as manifested in numerous consumer electronics devices, becomes a main issue of HMI device research. Although finger-tip touch based user interface has paved a main stream in mobile electronics, we envision touch-less HMI as a promising technology in futuristic applications with higher potential in areas where sanity or outdoor operation become of importance. In this paper, we introduce a novel HMI device for non-contact gesture input for intuitive HMI experiences. The enabling technology of the proposed device is the IPA (infrared Proximity Array) sensor by which realtime 3 dimensional depth information can be captured and realized for machine control. For the usability study, two different operating modes are adopted for hand motion inputs: one is a finger tip control mode and the other is a palm control mode. Throughput of the proposed device has been studied and compared to a traditional mouse device for usability evaluation. During the human subject test, the proposed device is found to be useful for PC mouse pointer control. The experimental results are shared in the paper as well.

Instantaneous saccade driven eye gaze interaction

In this paper, we introduce and evaluate a new Instantaneous Saccade (IS) selection scheme for eye gaze driven interfaces where the speed of the target selection is of utmost importance. In the IS selection scheme, target selection occurs at the start (onset) of a saccade requiring only constant amount of time to be completed. The IS performance is compared to the conventional Dwell Time (DT) selection scheme where target selection is triggered when a user fixates on an object for a certain amount of time. The IS method is also compared to the Saccade Offset (SO) selection scheme where target selection occurs at the end of a saccade. All three schemes were evaluated in terms of task completion time and the throughput of input performance in horizontal target selection task by six subjects. Results show that the Instantaneous Saccade selection was 57% faster than the DT selection to complete a task. In terms of throughput comparison, the throughput of the IS selection is 1.9 times greater than the throughput of DT selection. We hypothesize that Instantaneous Saccade selection will be beneficial in gaming environments that require fast very interaction speeds.

Mobile Phone Usability Questionnaire (MPUQ) and Automated Usability Evaluation

The mobile phone has become one of the most popular products amongst todays consumers. The Mobile Phone Usability Questionnaire (MPUQ) was developed to provide an effective subjective usability measurement tool, tailored specifically to the mobile phone. Progress is being made in the HCI research community towards automating some aspects of the usability evaluation process. Given that this effort is gaining traction, a tool for measurement of subjective usability, such as MPUQ, may serve as a complement to automated evaluation methods by providing user-centered values and emotional aspects of the product. Furthermore, experimental comparison of MPUQ assessments and automated usability analysis may enable researchers to determine whether automated usability tools generate metrics that correlate with user impressions of usability.

Comparison of Design Requirements Methods for Monitoring Eating Patterns of Seniors in a Smart House

The Smart House technology introduced an intelligent home designed to monitor the health and well being of senior residents unobtrusively. As one of the most important components of the smart house technology, we are developing an online eating-pattern monitoring system to be incorporated into a Smart House. A combination of four needs assessment methods including focus groups, observation, questionnaire and document review was used to gather information from seniors to determine critical design requirements for the system. A framework of information and interface requirements was developed to compare the effectiveness of the four methods used in our needs assessment. All four methods provided useful design recommendations, but each method differed in terms of specification of information and interface requirements. Based on the classification and comparison of methods, other practitioners can determine tradeoffs and select relevant needs assessment methods for their particular application.