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日期:2021-11-25 09:59

COMP3771 User Adaptive Intelligent Systems

Coursework (30% of module)

Deadline for submission: 10am Monday 22 November 2021

Submit an electronic copy in Gradescope following the link in MINERVA

Learning objectives

- to apply the schema of a user-adaptive system in a specific context;

- to design a user-model for adaptation;

- to assess the strengths and weaknesses of your proposal;

- to gain a deeper understanding of the lectures and readings on general architecture of useradaptive

systems and user models;

- to practise technical report writing.

Task

Propose a conceptual design of a personalised wellbeing assistant and its underpinning user

model. The vision for this personalised wellbeing assistant is to offer relevant and timely

suggestions / advice helping people to have a healthy lifestyle and feel well.

Your application should focus on one wellbeing aspect and consider a specific user group. For

example, you may consider students or people with special needs (e.g. people with disabilities),

or people from different demographics (e.g. children, elderly, people moving to a foreign

country). Possible wellbeing aspects include (but are not limited to): mental health, activity,

fitness, diet, sleep, stress, social life, acts of kindness, etc.

The proposal should be a maximum of 1500 words (excluding illustrations and references).

You should indicate the word count at the start of your report.

Coursework specification

Your proposal should be written up in an academic style and in a report structure with

appropriate sections (as listed below), and should include appropriate illustrations and

references.

The content of the report should include the following:

1. An introduction to the wellbeing aspect and the specific user group with clear

justification why you have selected this aspect and this user group (with appropriate

references) and why personalisation is needed. The introduction should also define

clearly the purpose and scope of your personalised wellbeing assistant.

2. A user scenario that illustrates two user-adaptive features in your proposed

personalised wellbeing assistant.

3. A description of the user model with clear indication what will be included in the user

model and how it relates to the two user-adaptive features.

4. A description of how the user model can be built – describe how information can be

captured and represented (with appropriate illustrations); consider both explicit and

implicit user profiling, consider context modelling, and explain how the data collected

about the user will be used to build the user profile.

5. An overall architectural diagram of the key components for the proposed two useradaptive

features of the personal wellbeing assistant. The graphical representation

should be supported by a brief explanation of each component and its input and output.

Note that you are NOT required to describe in detail the algorithms in each component.

6. A critical review of the proposal, discussing one strength and one potential limitation

for each of the two user-adaptive feature you have proposed, including both a

computational perspective and a human factors perspective.

Resources

? Re-read articles issued in the module as you may find helpful ideas from these experts

on the overall architecture, the design of the user model, and the user modelling

methods to be used.

? Visit User Modeling Inc (https://www.um.org/) for examples of user-adaptive systems

presented at the past conferences and the journal. Visit the Recommender Systems

conferences (https://recsys.acm.org/). Reference the systems that inspire the

personalisation features to include in your application. Your inspiration may come from

another domain and can be adapted for the problem in this coursework.

? Use online digital libraries, e.g. ACM digital library (https://dl.acm.org/) or IEEE

Xplore (https://ieeexplore.ieee.org/).

? The University of Leeds Library has academic skills links

(https://library.leeds.ac.uk/info/1401/academic_skills) which can be helpful, e.g.

referencing and searching for information.

? The Institute of Engineering and Technology resource on report writing

(https://www.theiet.org/media/5182/technical-report-writing.pdf) provides useful tips.

Marking scheme

Section Points Marks

available

Section 1 -

Introduction

Introduces:

- the chosen wellbeing aspect with justification

- the selected user group with justification

- justification why personalisation is needed

- purpose clearly defined

- scope clearly defined

16

Section 2 -

User scenario

A user scenario that illustrates two user-adaptive features:

- feature 1 – appropriate and illustrated

- feature 2 – appropriate and illustrated

- suitability of scenario

12

Section 3 -

User model

description

A description of the user model, including:

- outline of the user model

- detail what is included

- appropriateness of the model for feature 1

- appropriateness of the model for feature 2

16

Section 4 -

User model building

A description of how the user model can be built, including:

- how information is captured

- how information is represented

- how the collected data is used to build the user model

- appropriate illustrations

16

Section 5 -

Overall architecture

An overall architectural diagram of the key components:

- main components clearly specified

- the architecture is suitable for the two features

- explanation of main components is appropriate

- clear indication of the input/output of each component

16

Section 6 -

Critical review of the

proposal

A critical review of the proposal:

- feature 1 strength

- feature 1 limitation

- feature 2 strength

- feature 2 limitation

- clear indication relevance to computational and

human factors perspectives

- both perspectives included

12

Write up - report structure

- clarity and presentation

- referencing

12

TOTAL 100


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