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In this paper, we explored the feasibility of incorporating shape-changing interface into an eating spoon to directly intervene in undesirable eating behaviour. First, we investigated the optimal dimension (i.e., Z-depth) and ideal range of spoon transformation for different food forms that could affect bite size while maintaining usability. Those findings allowed the development of SSpoon prototype through a series of design explorations that are optimised for user's adoption. Then, we applied two shape-changing strategies: instant transformations based on food forms and subtle transformations based on food intake) and examined in two comparative studies involving a full course meal using Wizard-of-Oz approach. The results indicated that SSpoon could achieve comparable effects to a small spoon (5ml) in reducing eating rate by 13.7-16.1% and food consumption by 4.4-4.6%, while retaining similar user satisfaction as a normal eating spoon (10ml). These results demonstrate the feasibility of a shape-changing eating utensil as a promising alternative to combat the growing concern of obesity.<\/jats:p>","DOI":"10.1145\/3550312","type":"journal-article","created":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T14:54:27Z","timestamp":1662562467000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["SSpoon"],"prefix":"10.1145","volume":"6","author":[{"given":"Yang","family":"Chen","sequence":"first","affiliation":[{"name":"Division of Industrial Design, National University of Singapore, Singapore"}]},{"given":"Katherine","family":"Fennedy","sequence":"additional","affiliation":[{"name":"NUS-HCI Lab, Department of Computer Science, National University of Singapore"}]},{"given":"Anna","family":"Fogel","sequence":"additional","affiliation":[{"name":"Singapore Institute for Clinical Sciences, A*STAR"}]},{"given":"Shengdong","family":"Zhao","sequence":"additional","affiliation":[{"name":"NUS-HCI Lab, Department of Computer Science, National University of Singapore"}]},{"given":"Chao","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University"}]},{"given":"Lijuan","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University"}]},{"given":"Chingchiuan","family":"Yen","sequence":"additional","affiliation":[{"name":"Division of Industrial Design and Keio-NUS CUTE Center, National University of Singapore"}]}],"member":"320","published-online":{"date-parts":[[2022,9,7]]},"reference":[{"key":"e_1_2_1_1_1","first-page":"36","article-title":"Image processing with ImageJ","volume":"11","author":"Abr\u00e0moff Michael D","year":"2004","unstructured":"Michael D Abr\u00e0moff, Paulo J Magalh\u00e3es, and Sunanda J Ram. 2004. 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