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Research Papers

Evaluating the Affective Aspect of Intuitive Interactions Using Image Schemas

[+] Author and Article Information
Obokhai Kess Asikhia

School of Engineering,
Cardiff University,
14-17 The Parade, Queen's Buildings,
Cardiff CF24 3AA, UK

Rossitza Setchi

School of Engineering,
Cardiff University,
14-17 The Parade, Queen's Buildings,
Cardiff CF24 3AA, UK
e-mail: setchi@cardiff.ac.uk

1Corresponding author.

Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received April 24, 2015; final manuscript received June 13, 2018; published online July 5, 2018. Assoc. Editor: Bahram Ravani.

J. Comput. Inf. Sci. Eng 18(4), 041006 (Jul 05, 2018) (12 pages) Paper No: JCISE-15-1149; doi: 10.1115/1.4040606 History: Received April 24, 2015; Revised June 13, 2018

Intuitive use is a desirable feature in product and interface design. Until recently, however, there has been little research on the affective aspects of intuitive use. This paper contributes to the research in this area by proposing a systematic analytical method for assessing the affective aspect of intuitive use; the method uses an ontology of image schemas, computational semantics, and a sentiment analysis to determine the affect associated with interactions. The approach is evaluated through an empirical study involving 40 participants who completed a task with two products. The results show that the approach links the image schemas used for the completion of a task to the affective experiences of the users. The study has the potential to lead to improvements in design and the improved evaluation of intuitive use because it allows experiences to be linked directly to the specific image schemas employed in the design.

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Figures

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Fig. 1

Method for assessing intuitive interactions

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Fig. 2

Linking image schemas and affect

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Fig. 5

Products used in the current study

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Fig. 4

Accuracy of the developed algorithm

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Fig. 3

An algorithm for extracting image schemas from utterances

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Fig. 7

Positive sentiments and image schema

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Fig. 8

Negative sentiments and image schema

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Fig. 6

Q value and positive sentiments

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