代写辅导接单-DDES9920

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DDES9920

Information Architecture

for Immersive Aesthetics

Assessment 1

Summary of Information

Title: Assessment 1 – Information Architecture Analysis and

Weighting: Critique 40%

Assessment type: Written Report

Group work: No

Submission requirements:

Electronic PDF

Where to submit: Moodle (via Turnitin)

Due: 11.59pm on Friday of Week 3

Assessment Description:

Taking into account two case studies of immersive visualisations from this course, your own experience, as well

as required readings and your own research, analyse how the user experience is constructed in each

physical/virtual context, and how the information architectures are designed to engage embodied

experience. What are the similarities and differences in the methods used, and to what effect? Feedback to be

given individually via Turnitin and holistically on the course Moodle (1500 words)

How to complete the assessment:

Select two immersive experiences, which can be any mixed reality application (XR, AR or VR), an interactive

digital interface, or a hybrid digital/physical space. Using your knowledge from Part I, provide a written response

addressing the following questions:

• What is the intended ‘purpose’ of the immersive experience?

• What multimodal forms of data are users given access to during their experience and what interactive

strategies are employed to engage them?

• What factors within the design of the system (data, graphical, interactive or environmental) may give rise

to perceptual or interpretive biases and how might they be mitigated?

If required, you may use diagrams, charts or images to illustrate your arguments.

Submission Requirements:

COURSE CODE: DDES9920 COURSE NAME: Information Architecture for Immersive Aesthetics Modified on: Tuesday, 15 December 2020

Electronic Submission:

What to submit:

• PDF

Where to submit:

• Moodle (via Turnitin)

Due date:

• 11.59pm on Friday of Week 3

Please note:

• Penalties apply for late submission as indicated in the course outline

Assessment Criteria:

High

Criteria & Fail Pass Credit Distinction

Distinction

Weighting (<50) (50-64) (65-74) (75-84)

(85-100)

Analysis of The description of The description of The description of The description of The description of

purpose of the intended intended purpose the intended the intended the intended

experience purpose is unclear is relevant to the purpose is clear purpose is clear purpose is clear

(20%) or not relevant to chosen and relevant to and relevant to and relevant to

the chosen application. the chosen the chosen the chosen

application. No Makes an attempt application. The application and application and

attempt made at at critical analysis. critical analysis is its industry its industry

critical analysis. evidenced context. The context. The

through an critical analysis is critical analysis is

awareness of the evidenced evidenced

user experience. through an through an

awareness of the awareness of the

user experience. user experience

and the industry

context of the

application.

Identification Misidentification of Some data forms Data forms and Data forms and Data forms and

of data data forms and and interactive interactive interactive interactive

forms and interactive methods missing methods are methods are methods are

interactions methods. No or misidentified for clearly identified clearly identified clearly and

(40%) reflection on the intended and appropriate and analysed comprehensively

critical literature. purpose. An to the intended holistically identified and

attempt to reflect purpose. A sound against the analysed

on critical engagement with intended holistically

literature. critical literature purpose. A sound against the

has been engagement with intended

evidenced critical literature purpose. A sound

through well- has been engagement with

considered evidenced critical literature

reflection. . through well- has been

considered evidenced

reflection. through well-

considered

reflection.

Analysis of Little Sufficient Good Very good Excellent

design understanding or identification of identification of identification of identification of

biases (40%) identification of design biases design biases design biases

design biases

design biases or and/or or issues of and/or or issues and/or or issues

and/or or issues

issues of user user perceptions. of user of user

of user

COURSE CODE: DDES9920 COURSE NAME: Information Architecture for Immersive Aesthetics Last Modified on: Tuesday, 15

December 2020

High

Criteria & Fail Pass Credit Distinction

Distinction

Weighting (<50) (50-64) (65-74) (75-84)

(85-100)

perceptions. Poor Adequate attempt perceptions. perceptions perceptions

recommendations. at Good attempt at based on an based on an

No attempt to recommendations. recommendations understanding of understanding of

reflect on Sufficient drawn from user experience

user experience

theoretical reflection on theoretical considerations.

considerations.

literature. theoretical literature. Good attempt at

literature. recommendations Novel and

drawn from original

theoretical recommendations

literature. extending

theoretical

literature.

Course Learning Outcomes addressed in this task:

1. Analyse the information architectures of immersive and embodied 3D experiences

How you will receive Feedback for this task:

• You will receive formal feedback within two weeks of submission.

COURSE CODE: DDES9920 COURSE NAME: Information Architecture for Immersive Aesthetics Last Modified on: Tuesday, 15

December 2020

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