Comparison of VR-interviews to Online Video Conferencing Software and its Impact on User Experience : Studying the experience of VR-interviews compared to generic online video conferencing software like Zoom and MS Teams and its impact on the Interviewer and the Candidate

With the recent advancement of computer technology, having an immersive experience has become more accessible. A technology that offers that is the one of virtual reality, or VR, for short, which immerses the user in another reality that is artificially constructed. It is natural to argue if there is even a need to switch from the general Online Video Conferencing software to VR-interviews.  The proposed research looks to dive into the user experience in this area to answer this question. This problem is important from the perspective of business owners, companies, and employees trying to have the best experience to recruit new employees or get recruited as a new employee, having the best possible experience. This research has three questions, where the first question examines how the user experience of an interview is different in VR compared to video conferencing software. The second and third question examines the user experience "job candidate's and recruiter's perspectives", in comparison to video conferencing software. For RQ1 a mixture of a small experiment followed by a think-aloud session with the participants was done. To gather the data for RQ 2 & 3, a total of three methods were chosen (experiment, interview, and survey), where these methods were both quantitative and qualitative to allow for triangulation.   The conclusions from the gathered data and the analysis of this research were that the user experience of virtual reality was preferable than that of the video conferencing software for both the recruiter and the candidate

Comparison of VR-interviews to Online Video Conferencing Software and its Impact on User Experience : Studying the experience of VR-interviews compared to generic online video conferencing software like Zoom and MS Teams and its impact on the Interviewer and the Candidate

With the recent advancement of computer technology, having an immersive experience has become more accessible. A technology that offers that is the one of virtual reality, or VR, for short, which immerses the user in another reality that is artificially constructed. It is natural to argue if there is even a need to switch from the general Online Video Conferencing software to VR-interviews.  The proposed research looks to dive into the user experience in this area to answer this question. This problem is important from the perspective of business owners, companies, and employees trying to have the best experience to recruit new employees or get recruited as a new employee, having the best possible experience. This research has three questions, where the first question examines how the user experience of an interview is different in VR compared to video conferencing software. The second and third question examines the user experience "job candidate's and recruiter's perspectives", in comparison to video conferencing software. For RQ1 a mixture of a small experiment followed by a think-aloud session with the participants was done. To gather the data for RQ 2 & 3, a total of three methods were chosen (experiment, interview, and survey), where these methods were both quantitative and qualitative to allow for triangulation.   The conclusions from the gathered data and the analysis of this research were that the user experience of virtual reality was preferable than that of the video conferencing software for both the recruiter and the candidate

Bi-directional Position and Speed Estimation Algorithm for Sensorless Control of BLDC Motor

The observer design for estimation of back EMF to control the Brushless DC (BLDC) motor is described in this paper. Using the sequence of estimated back EMF, rotor position is estimated. During negative rotation, the actual and estimated values of speed fail to track the reference speed and if corrective action is not taken by the observer, the motor goes into the unstable region. To overcome this problem, the speed estimation algorithm is proposed to control the behavior of motor during negative rotation. Infinite Impulse Response (IIR) Butterworth first order low-pass filters are used in observer for smoothing the estimated back EMFs of BLDC motor. A new controller scheme based on Modified Hybrid Fuzzy PI (MHFPI) controller is proposed to control the speed of BLDC motor. Simulations have been carried out for different disturbances such as step changes in the reference speed and load torque of the motor. Comparison of the proposed scheme with the existing schemes clearly depicts that the effect of disturbance on actual and estimated responses are very less

Bi-Directional Position and Speed Estimation Algorithm for Sensorless Control of BLDC Motor

The observer design for estimation of back EMF to control the Brushless DC (BLDC) motor is proposed in this paper. Rotor position of the BLDC motor is estimated using the sequence of estimated back EMF. During speed reversal of motor, the actual and estimated values of speed fail to track the reference speed and if corrective action is not taken by the observer, the motor goes into the unstable region. To overcome this problem, the speed estimation algorithm is proposed for BLDC motor control during its speed reversal operation. Infinite Impulse Response (IIR) Butterworth first order low-pass filters are used in the observer for smoothing the estimated back EMFs of the BLDC motor. A new controller scheme based on Modified Hybrid Fuzzy PI (MHFPI) controller is proposed to control the speed of the BLDC motor. The effectiveness of the proposed method has been validated through simulations for different disturbances such as step changes in the reference speed and load torque of the motor and results are compared with the existing methods