Revisiting habitability in conversational systems
- Publisher:
- ACM
- Publication Type:
- Conference Proceeding
- Citation:
- Conference on Human Factors in Computing Systems - Proceedings, 2020, pp. 1-8
- Issue Date:
- 2020-04-25
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| 3334480.3383014.pdf | Published version | 1.01 MB |
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Conversational systems are inherently disadvantaged when indicating either what capabilities they have or the state they are in. The notion of habitability, the appropriate balancing in design between the language people use and the language a system can accept, emerged out of these early difficulties with conversational systems. This literature review aims to summarize progress in habitability research and explore implications for the design of current AI-enabled conversational systems. We found that i) the definitions of habitability focus mostly on matching between user expectations and system capabilities by employing well-balanced restrictions on language use; ii) there are two comprehensive design perspectives on different domains of habitability; iii) there is one standardized questionnaire with a sub-scale to measure habitability in a limited way. The review has allowed us to propose a working definition of habitability and some design implications that may prove useful for guiding future research and practice in this field.
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