25 February New Interaction Techniques Target Selection Under Time Pressure Conditions New Interaction Techniques Department of Computer and Information Sciences University of Tampere, Finland Zhang Weiwei

25 February Introduction to the Problem Under the time conditions, how users make their decision Under the time conditions, how users make their decision User performance in objective time User performance in objective time Dynamic tracking without any static state Dynamic tracking without any static state To find useful (temporal) parameters facilitating human computer interaction for people with special needs To find useful (temporal) parameters facilitating human computer interaction for people with special needs New Interaction Techniques

25 February Background Research data with operators working in extremely conditions. Such as open space, deep-water research Research data with operators working in extremely conditions. Such as open space, deep-water research General, conventional mouse or joystick can be used to control direction and tracking targets. General, conventional mouse or joystick can be used to control direction and tracking targets. Temporal parameters during HCI (lead or lag cues) cause negative emotions, e.g., annoyance and anger, lead to stress and increase mental workload user. Temporal parameters during HCI (lead or lag cues) cause negative emotions, e.g., annoyance and anger, lead to stress and increase mental workload user. The challenge to usability exploration of temporal model in user behavior dynamics. The challenge to usability exploration of temporal model in user behavior dynamics. New Interaction Techniques

25 February Objectives in General To study the features of user performance in strongly restricted temporal intervals for decision making and adequate action (capturing targets). To study the features of user performance in strongly restricted temporal intervals for decision making and adequate action (capturing targets). How to reduce the complexity of the decision-making and to save time in urgent conditions. How to reduce the complexity of the decision-making and to save time in urgent conditions. In particular, doing comparison for user behavior data when: controlled parameters (cursor coordinates) are redistributed between two hands (manipulation through two analog buttons) and a targets exposition is progressively decreasing. In particular, doing comparison for user behavior data when: controlled parameters (cursor coordinates) are redistributed between two hands (manipulation through two analog buttons) and a targets exposition is progressively decreasing. New Interaction Techniques

25 February ScheduleActivityweeksResult Overview (brief) to the problem & design for usability testing scenario, software installation & familiarization 2 usability testing scenario usability testing 3data Data analysis 2results Writing Project report 21 Project paper/Draft Final version New Interaction Techniques

25 February Research Methods Empirical research and usability testing the new techniques software and tools: Empirical research and usability testing the new techniques software and tools: redistributed controlled parameters (cursor coordinates) redistributed controlled parameters (cursor coordinates) analog buttons software to collect and process data Doing interview to subjects who took part in tests Doing interview to subjects who took part in tests New Interaction Techniques

25 February Preliminary Results The new software had been installed and more familiar with them. The new software had been installed and more familiar with them. Already install that new tool on computer and learn how to use it to track targets. Already install that new tool on computer and learn how to use it to track targets. Do more practices with that new tool to improve the speed of tracking. Do more practices with that new tool to improve the speed of tracking. New Interaction Techniques

25 February Experimental Setup Software installation, calibration for analog buttons. Software installation, calibration for analog buttons. 3 minutes for training. 3 minutes for training. Data collection with different targets exposition: Data collection with different targets exposition: Change the time pressure Change the time pressure 2 sessions per person, 5 trials for each subject Data analysis. Data analysis. New Interaction Techniques

25 February Experimental Setup Analysis data with that software. Do testing with time conditions and collecting data. New Interaction Techniques

25 February Forecasted results Forecasted results Dynamics for user performance and strategy for task realization will be evaluated through the next parameters: reaction time per target a number of errors individual behavior patterns Ave (on 8 subjects) + standard deviation (s) New Interaction Techniques

25 February Prospective applications Understanding human behavior under different time pressure conditions. Understanding human behavior under different time pressure conditions. Adaptive drivers: through analysis of user behavior reactions in special condition, similar to calibration for mouse, to set individual (temporal) parameters in system which are adequate for user performance. Adaptive drivers: through analysis of user behavior reactions in special condition, similar to calibration for mouse, to set individual (temporal) parameters in system which are adequate for user performance. Adaptive interaction techniques for people who has special needs. Adaptive interaction techniques for people who has special needs. New Interaction Techniques

25 February References Hayne, S. and Smith, C.A.P. Decision-Making Under Time Pressure: An investigation of decision speed and decision quality of computer supported groups. AIS Conference, Available at: Hayne, S. and Smith, C.A.P. Decision-Making Under Time Pressure: An investigation of decision speed and decision quality of computer supported groups. AIS Conference, Available at: Mann, L. and Tan, Ch. The Hassled Decision Maker: The Effects of Perceived Time Pressure on Information Processing in Decision Making. Australian Journal of Management, V. 18(2) December, 1993, The University of New South Wales, Available at: Mann, L. and Tan, Ch. The Hassled Decision Maker: The Effects of Perceived Time Pressure on Information Processing in Decision Making. Australian Journal of Management, V. 18(2) December, 1993, The University of New South Wales, Available at: Matiasek, J., Baroni, M. and Trost, H. FASTY – A Multi-lingual Approach to Text Prediction. In Proc. of the 8 th Int. Conf. on Computers Helping People with Special Needs. ICCHP 2002, Linz, Austria, July. J.Klaus, K.Miesenberger, W. L. Zagler (Eds.), LNCS Vol. 2398, Springer-Verlag Berlin Heidelberg, 2002, pp Matiasek, J., Baroni, M. and Trost, H. FASTY – A Multi-lingual Approach to Text Prediction. In Proc. of the 8 th Int. Conf. on Computers Helping People with Special Needs. ICCHP 2002, Linz, Austria, July. J.Klaus, K.Miesenberger, W. L. Zagler (Eds.), LNCS Vol. 2398, Springer-Verlag Berlin Heidelberg, 2002, pp Nobuki, O. and Sakai, Y. Human Characteristic on Phase Discrimination between Visual and Auditory Sine-Wave Stimuli. Available at: u.ac.jp/ICCS/olp/o1-11/o1-11.htm Nobuki, O. and Sakai, Y. Human Characteristic on Phase Discrimination between Visual and Auditory Sine-Wave Stimuli. Available at: u.ac.jp/ICCS/olp/o1-11/o1-11.htmhttp:// u.ac.jp/ICCS/olp/o1-11/o1-11.htmhttp:// u.ac.jp/ICCS/olp/o1-11/o1-11.htm Zagler, W.I. Matching Typing Persons and Intelligent Interfaces. In Proc. of the 8 th Int. Conf. on Computers Helping People with Special Needs. ICCHP 2002, Linz, Austria, July. J.Klaus, K.Miesenberger, W. L. Zagler (Eds.), LNCS Vol. 2398, Springer-Verlag Berlin Heidelberg 2002, p Zagler, W.I. Matching Typing Persons and Intelligent Interfaces. In Proc. of the 8 th Int. Conf. on Computers Helping People with Special Needs. ICCHP 2002, Linz, Austria, July. J.Klaus, K.Miesenberger, W. L. Zagler (Eds.), LNCS Vol. 2398, Springer-Verlag Berlin Heidelberg 2002, p Fabre, J., Howard, S. and Smith, R. Designing time at the user interface. Behaviour & Information Technology, 2000, Vol. 19(6), Fabre, J., Howard, S. and Smith, R. Designing time at the user interface. Behaviour & Information Technology, 2000, Vol. 19(6), New Interaction Techniques