CHAPTER 7 CONCLUSION
7.3 L IMITATIONS AND F UTURE W ORKS
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Figure 7.2.1 Strategy Direction of Service Attributes
7.3 Limitations and Future Works
(1) The design of the experiment and the amount of the subjects
The experiment is still complicated and it takes minutes to complete for each user. Therefore, subjects may be affected by the complexibility and lack of patience to complete all anchor questions. Also, some subjects can’t understand the anchor questions or imagine the description immediately and they need some hints. These are the reasons we only have 30 subjects in experiment 2 and it becomes one of our research limitation. In the future, we should make the anchor questions and process easier and more understandable.
(2) The quality of preference system
The service content in the experiment 1 came from our thoughts and the service content in the experiment 2 came from the official site of LazyTrip.
So the setting of the experiment might be restricted by our thoughts. In the future, we can co-work with the real service providers and examine the quality of the system by field studies in order to improve the system and make it more practical.
(3) The extension of mental state models built by adjustment index
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Although we found that the mental state models can represent the preference and motivation, but the models only represent for the result of preference and motivation, not the reasons. For example, we can’t know the exact reasons why a person usually views an online music service with promotion-concerns from the models now. However, the ways and the reasons which are driving human behavior are complicated and valuable. In the future, it is interesting to extend the models in order to represent the deeper reasons.
(4) User experience of using preference analysis system
The process of the system is designed under the objective from the academic point of view. From the service providers’ opinions, the user experience including the user interface, the structure of the website and the incentives of using the system should be improved in order to fit the commercial standard.
(5) An application interface for apps and websites
From the suggestion of service providers, it will be more attractive to them if we can package the mechanism into a standardized application interface for apps and websites. Thus, the providers can do the survey of the cognitive data of the users directly through theirs apps and websites.
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Appendix A. 12-item version of URICA for reduced drinking project
No. Statement Subscale
1
It doesn’t make much sense for me to consider changing my
drinking. Precontemplation
2
Trying to change my drinking is pretty much a waste of time
for me. Precontemplation
3
I guess I have faults, but there’s nothing that I really need to
change about my drinking. Precontemplation
4
I’ve been thinking that I might want to change something
about my drinking. Contemplation
5
I may have a problem with drinking and I think I should work
on it. Contemplation
6
I hope that someone will have some good advice for me about
my drinking. Contemplation
7
At times my drinking causes problems and I’m determined to
change. Action
8
Anyone can talk about changing the way they drink; I’m
actually going to do something about it. Action
9
I am really working hard to change my drinking. Action
10
It is frustrating, but I feel I might be having a recurrence of a
drinking problem I thought I had resolved. Maintenance
11
I thought once I had resolved my problem drinking I would be free of it, but sometimes I still find myself struggling with it.
Maintenance
12
After all I had done to try and change my problem drinking,
every now and then it comes back to haunt me. Maintenance
Notice:In each case, make your choice in terms of how you feel right now, not what you have felt in the past or would like to feel.
1: Strongly Disagree ; 2: Disagree ; 3: Undecided ; 4: Agree ; 5: Strongly Agree