联系我们: 手动添加方式: 微信>添加朋友>企业微信联系人>13262280223 或者 QQ: 1483266981
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:
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


发表评论