Virtual Environments Week 9 Seminar Presence Presence Presence

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Virtual Environments Week 9 Seminar  Presence

Virtual Environments Week 9 Seminar Presence

Presence • Presence: – Refers to ‘Being in an environment – Degree of presence

Presence • Presence: – Refers to ‘Being in an environment – Degree of presence in one environment relative to another • Subjective presence – Response to questions about being there – Verbal and conscious – Evaluation of an experience • Behavioural Presence – Observable responses to stimuli – Responses to the events in the environment in question • May be measured by subjective means or through observation

Bodily Movement and Presence • Main Hypothesis: – “ The environment relative to which

Bodily Movement and Presence • Main Hypothesis: – “ The environment relative to which major body movements are made has a higher probability of being the dominant presence environment, other things being equal” – Examine influence of two factors • Extent of body movement • Complexity of task • Major interest on body movement – Motivated by two factors • “aha” type of experience • Construct interactive techniques • Null Hypothesis • Scores are attributed randomly and independently • Measured with questionnaires with six questions each on scale of 1 to 7

Factorial Design • Assess the extent to which body movement influences presence, particularly bending

Factorial Design • Assess the extent to which body movement influences presence, particularly bending and head movement • Scenario devised that would naturally induce subjects to use bending and head movements – Field of unusual plants or trees with large leaves distributed at random through the field • Half subjects put into field where heights varied, other half where heights were constant • Asked to move around field and count number of diseased plants • More complex task also given

Design Virtual field Virtual lab

Design Virtual field Virtual lab

Design(2) • 20 subjects in total, between factorial design used within 5 subjects in

Design(2) • 20 subjects in total, between factorial design used within 5 subjects in each condition • 15 male subjects, no subject had involvement in research or knowledge of purpose • 150 trees in each scene, randomly distributed in a garden of dimension 90 m-75 • Each tree had 16 leaves – A healthy one – One bad leaf – 4 bad leaves

Procedure • When initially put HMD on subjects were placed in virtual lab •

Procedure • When initially put HMD on subjects were placed in virtual lab • Carried out initial training tasks “in the lab” – Instructed to turn head, bend down, e. t. c to realise these actions were possible • Then went through door into field of plants and told to carry out tasks – 3 minutes time limit stated beforehand • Then returned to lab, removed HMD and questionnaires administered

Explanatory Variables • • • Background information: gender and occupation Pitch in degrees/sec Yaw

Explanatory Variables • • • Background information: gender and occupation Pitch in degrees/sec Yaw in degrees/sec Roll in degrees/sec Mean and standard deviation of hand height above ground level

Results • Body movement • Variation of body height (bending and standing) • Degree

Results • Body movement • Variation of body height (bending and standing) • Degree of head colation • ‘Tree height’ main source of variation for body movement, whereas task main source of variation for head colation • Low variation tree field - no bending down but considerable head movement. • Average head movement not significant between 2 tree groups – major difference was overall body movement • Body movement measured by hand height

Results 2 Variable( Tree 1 /s) (low) Tree 2 (high) Task Level 1 (simple)

Results 2 Variable( Tree 1 /s) (low) Tree 2 (high) Task Level 1 (simple) Task Level 2 (complex) Pitch Mean=3. 4 sd=1. 4 Mean =3. 3 sd =1. 4 Mean= 3. 7, sd = Mean = 5. 1 Sd = 1. 1 0. 9 Yaw Mean=12. 3 Mean=10. 1 Mean=9. 4 Sd=3. 7 Sd=3. 5 Sd=3. 3 Mean=13. 0 Sd=3. 1 Roll Mean=13. 5 Mean=11. 2 Mean=2. 6 Sd = 4. 1 Sd=3. 7 Sd=0. 7 Mean=4. 0 Sd=1. 7 Note: The differences within each pair of Task means are significant on a t test at 5% on 18 df),

Analysis • Task not as significant as interaction between gender and task • Significant

Analysis • Task not as significant as interaction between gender and task • Significant relationship between presence and body movement variables • Positively associated with yaw • Negatively associated with vertical variation

Conclusion • Presence likely to be positively associated with amount of body movement •

Conclusion • Presence likely to be positively associated with amount of body movement • Results of impact of type of task inconclusive

Walking>Walking in-Place>Flying in Virtual Environment • Previous Study: – – Slater et. al 1995

Walking>Walking in-Place>Flying in Virtual Environment • Previous Study: – – Slater et. al 1995 Walking-in-Place Vs push button flying Virtual treadmill Neural Networks to analyze the tracked head motion • Gains: – Virtual Walking has higher subjective sense of presence than push button flying.

Current Project Hypothesis: Real walking results in higher sense of presence • Current Study:

Current Project Hypothesis: Real walking results in higher sense of presence • Current Study: – Add Real Walking – Use Wide area tracker – Enhanced Graphics & Avatar representation • Objectives: – Do Results of previous study hold true given more recent technology? – To compare Virtual walking, Real Walking & flying with respect to ease of Locomotion & subjective presence.

Terminologies • Flying: – Flying is done in the direction of gaze to make

Terminologies • Flying: – Flying is done in the direction of gaze to make the Flyer & Virtual walker groups match. • Virtual Walking: – Participants reproduce the physical head motion generated during actual walking, but without physical locomotion • Real Walking: – Participants are free to walk around in the entire Virtual scene as in real.

Real Walking Implemented • Implementing Virtual Walking: – Track user’s head & one hand

Real Walking Implemented • Implementing Virtual Walking: – Track user’s head & one hand using a custom optical tracker – Track over a range of 10 m x 4 m with millimeter precision – Two optical sensors view infrared LED’s on ceiling. – Tracked Position & Orientation updated every 1. 5 k. Hz – Tracker latency of 25 ms, total latency 100 mm • Problems: – Watch the cables!!

How does the world look like? • The Virtual World – Divide tracked place

How does the world look like? • The Virtual World – Divide tracked place into a training & experimental area. (room with the virtual pit) – Modern Graphics Engine, 40000 polygons – More Detailed Avatar, 11000 polygons – Radiosity lighting & texture for almost half the polygons – Subjects looking down can see their virtual body, feet, untracked left hand & tracked right hand.

The task • In the training room: • Instructions given to – Travel to

The task • In the training room: • Instructions given to – Travel to a certain point along the corridor – Grasp virtual objects • In the experiment room – Walk to the chair

How does the world look like?

How does the world look like?

The Experiment • Technology – Silicon, Onyx 2 with 1 graphic pipeline, two raster

The Experiment • Technology – Silicon, Onyx 2 with 1 graphic pipeline, two raster managers. – Four 195 Mhz R 10000 processors, 2 GB main memory. – Scene Rendered using Open. GL, frame rate 30 Hz stereo – Viewing by V 8 Head Mounted Display with VGA resolution (640 x 3) x 480 – Display consists of two 1. 3 inch active LCD

Experiment 2 • Input – Joystick with four buttons, two were used in experiment,

Experiment 2 • Input – Joystick with four buttons, two were used in experiment, tracked by ceiling tracker. • Participants – 33 ‘naive’ subjects, grouped into virtual walkers, real walkers, flyers. 5 women, 6 men. & 11 ‘expert ’ subjects, 10 men, 1 woman • Questionnaires – Simulation sickness questionnaires – Presence questionnaires – Oral sessions

Conclusions & Results • Conclusions – Confirm that presence is highly correlated with degree

Conclusions & Results • Conclusions – Confirm that presence is highly correlated with degree of association with virtual body. – Presence is higher for real walkers than for virtual walkers & flyers. • Locomotion

Results 2 • Subjective Presence – No significance difference in all groups – Association

Results 2 • Subjective Presence – No significance difference in all groups – Association with virtual body, directly related to rating of presence – Females have higher sense of presence than males (play less video games) – For flyers & virtual walkers higher discomfort is created by less sense of present but not the case for real walkers

Improvements • Cables are unsatisfactory, currently working on wireless • Real walkers are best

Improvements • Cables are unsatisfactory, currently working on wireless • Real walkers are best for human scale space but not cheap • Replace flying with virtual walking, when presence is important, & inexpensive to implement • Avatar realism, worth investing on • Clothing identification very important for some • Investigate voice location e. g. give instructions through HMD.

The concept of Presence “Perceptual illusion of non-mediation” Lombard and Ditton The extent to

The concept of Presence “Perceptual illusion of non-mediation” Lombard and Ditton The extent to which the person fails to perceive or acknowledge the existence of a medium during a technologically mediated experience.

Presence “when the individual fails to perceive the medium throughout a technologically mediated experience.

Presence “when the individual fails to perceive the medium throughout a technologically mediated experience. . ”

Types of Presence The sense of presence has been studied as some Type of

Types of Presence The sense of presence has been studied as some Type of Presence: Physical: Feeling of been located somewhere (else). Social: Feeling of been (and communicate) together.

Determinants of presence In order to improve the sense of presence we analyze the

Determinants of presence In order to improve the sense of presence we analyze the Factors that encourage or discourage the feeling of “being there” • • The extent and fidelity of sensory information. The match between sensors and displays Content factor User characteristics

The extent and fidelity of sensory information • the ability of a technology to

The extent and fidelity of sensory information • the ability of a technology to produce a sensorially rich mediated environment. • the amount of useful and salient sensory information presented in a consistent manner to the appropriate senses of the user.

The match between sensors and displays Refers to the sensory-motor contingencies, i. e. the

The match between sensors and displays Refers to the sensory-motor contingencies, i. e. the mapping between the user’s actions and the perceptible spatio-temporal effects of those actions. For example, using head tracking, a turn of the user’s head should result in a corresponding real-timeupdate of the visual and auditory display.

Content factor Our ability to interact with the content and to modify it •

Content factor Our ability to interact with the content and to modify it • objects, actors, and events represented by the medium • the user’s representation or virtual body in the VE • autonomy of the environment, i. e. the extent to which objects and actors (e. g. • Social elements, such as the acknowledgement of the user through the reactions of other actors, virtual or real, will be important for establishing a sense of social presence 15 agents) exhibit a range of autonomous behaviors

User characteristics • the user’s perceptual, cognitive and motor abilities (e. g. stereoscopic acuity,

User characteristics • the user’s perceptual, cognitive and motor abilities (e. g. stereoscopic acuity, susceptibility to motion sickness, concentration) • prior experience with and expectations towards mediated experiences • willingness to suspend disbelief • various mental health conditions, like depression, anxiety, or psychotic disorders, are also likely to affect an individuals sense of presence

Relationship between presence factors

Relationship between presence factors