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SSpoon: A Shape-changing Spoon That Optimizes Bite Size for Eating Rate Regulation

Published: 07 September 2022 Publication History

Abstract

One key strategy of combating obesity is to slow down eating; however, this is difficult to achieve due to people's habitual nature. 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.

References

[1]
Michael D Abràmoff, Paulo J Magalhães, and Sunanda J Ram. 2004. Image processing with ImageJ. Biophotonics international 11, 7 (2004), 36--42.
[2]
Monica G Aguayo-Mendoza, Eva C Ketel, Erik van der Linden, Ciarán G Forde, Betina Piqueras-Fiszman, and Markus Stieger. 2019. Oral processing behavior of drinkable, spoonable and chewable foods is primarily determined by rheological and mechanical food properties. Food Quality and Preference 71 (2019), 87--95.
[3]
Pierre-Emmanuel Aguera, Karim Jerbi, Anne Caclin, and Olivier Bertrand. 2011. ELAN: a software package for analysis and visualization of MEG, EEG, and LFP signals. Computational intelligence and neuroscience 2011 (2011).
[4]
Wes Airgood. 2009. Spoon Forms: Exploring the Intersections of Art, Craft, and Design within the Context of the Spoon. Ph.D. Dissertation. University of Georgia.
[5]
Eva Almiron-Roig, Melina Tsiountsioura, Hannah B Lewis, Jianhua Wu, Ivonne Solis-Trapala, and Susan A Jebb. 2015. Large portion sizes increase bite size and eating rate in overweight women. Physiology & behavior 139 (2015), 297--302.
[6]
Katerina Baousi, Nate Fear, Christos Mourouzis, Ben Stokes, Henry Wood, Paul Worgan, and Anne Roudaut. 2017. Inflashoe: A shape changing shoe to control underfoot pressure. In Proceedings of the 2017 CHI Conference extended abstracts on human factors in computing systems. 2381--2387.
[7]
France Bellisle. 2017. Cultural resistance to an obesogenic world: infrequently examined differences in lifestyle between France and America. Nutrition Today 52, 1 (2017), 5--9.
[8]
Dieuwerke P Bolhuis and Ciarán G Forde. 2020. Application of food texture to moderate oral processing behaviors and energy intake. Trends in Food Science & Technology 106 (2020), 445--456.
[9]
Dieuwerke P Bolhuis, Ciaran G Forde, Yuejiao Cheng, Haohuan Xu, Nathalie Martin, and Cees de Graaf. 2014. Slow food: sustained impact of harder foods on the reduction in energy intake over the course of the day. PloS one 9, 4 (2014), e93370.
[10]
Dieuwerke P Bolhuis, Catriona MM Lakemond, Rene A de Wijk, Pieternel A Luning, and Cees de Graaf. 2013. Consumption with large sip sizes increases food intake and leads to underestimation of the amount consumed. PloS One 8, 1 (2013), e53288.
[11]
Kyung Yun Choi and Hiroshi Ishii. 2021. Therms-Up!: DIY Inflatables and Interactive Materials by Upcycling Wasted Thermoplastic Bags. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction. 1--8.
[12]
JYM Choy, AT Goh, Georgia Chatonidi, S Ponnalagu, SMM Wee, M Stieger, and CG Forde. 2021. Impact of food texture modifications on oral processing behaviour, bolus properties and postprandial glucose responses. Current Research in Food Science 4 (2021), 891--899.
[13]
Stanley Coren. 1971. A size-contrast illusion without physical size differences. American Journal of Psychology 84, 4 (1971), 565--566.
[14]
Nils Dahlbäck, Arne Jönsson, and Lars Ahrenberg. 1993. Wizard of Oz studies---why and how. Knowledge-based systems 6, 4 (1993), 258--266.
[15]
John M de Castro. 2004. Genes, the environment and the control of food intake. British Journal of Nutrition 92, S1 (2004), S59-S62.
[16]
René A De Wijk, D Kaneko, GB Dijksterhuis, M Van Zoggel, I Schiona, Michel Visalli, and EH Zandstra. 2019. Food perception and emotion measured over time in-lab and in-home. Food Quality and Preference 75 (2019), 170--178.
[17]
Panteleimon Dimitriadis and Jason Alexander. 2014. Evaluating the effectiveness of physical shape-change for in-pocket mobile device notifications. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2589--2592.
[18]
Marion Doyennette, Monica G Aguayo-Mendoza, Ann-Marie Williamson, Sara IFS Martins, and Markus Stieger. 2019. Capturing the impact of oral processing behaviour on consumption time and dynamic sensory perception of ice creams differing in hardness. Food Quality and Preference 78 (2019), 103721.
[19]
Myles S Faith, Lisa K Diewald, Samantha Crabbe, Brenda Burgess, and Robert I Berkowitz. 2019. Reduced eating pace (RePace) behavioral intervention for children prone to or with obesity: does the turtle win the race? Obesity 27, 1 (2019), 121--129.
[20]
Gemma P Faulkner, M Barbara E Livingstone, L Kirsty Pourshahidi, Michelle Spence, Moira Dean, Sinead O'Brien, Eileen R Gibney, Julie MW Wallace, Tracy A McCaffrey, and Maeve A Kerr. 2016. An evaluation of portion size estimation aids: precision, ease of use and likelihood of future use. Public Health Nutrition 19, 13 (2016), 2377--2387.
[21]
Danielle Ferriday, Matthew L Bosworth, Nicolas Godinot, Nathalie Martin, Ciarán G Forde, Emmy Van Den Heuvel, Sarah L Appleton, Felix J Mercer Moss, Peter J Rogers, and Jeffrey M Brunstrom. 2016. Variation in the oral processing of everyday meals is associated with fullness and meal size; a potential nudge to reduce energy intake? Nutrients 8, 5 (2016), 315.
[22]
Kyle Fitzgerald. 2017. Design of Customizable Assistive Utensil Grip. Ph.D. Dissertation. Worcester Polytechnic Institute.
[23]
A Flint, A Raben, JE Blundell, and A Astrup. 2000. Reproducibility, power and validity of visual analogue scales in assessment of appetite sensations in single test meal studies. International journal of obesity 24, 1 (2000), 38--48.
[24]
Anna Fogel, Ai Ting Goh, Lisa R Fries, Suresh A Sadananthan, S Sendhil Velan, Navin Michael, Mya-Thway Tint, Marielle V Fortier, Mei Jun Chan, Jia Ying Toh, et al. 2017. Faster eating rates are associated with higher energy intakes during an ad libitum meal, higher BMI and greater adiposity among 4- 5-year-old children: Results from the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) cohort. British Journal of Nutrition 117, 7 (2017), 1042--1051.
[25]
Sean Follmer, Daniel Leithinger, Alex Olwal, Akimitsu Hogge, and Hiroshi Ishii. 2013. inFORM: dynamic physical affordances and constraints through shape and object actuation. In Uist, Vol. 13. 2501--988.
[26]
CG Forde, C Leong, E Chia-Ming, and K McCrickerd. 2017. Fast or slow-foods? Describing natural variations in oral processing characteristics across a wide range of Asian foods. Food & function 8, 2 (2017), 595--606.
[27]
CG Forde, N Van Kuijk, T Thaler, C De Graaf, and N Martin. 2013. Oral processing characteristics of solid savoury meal components, and relationship with food composition, sensory attributes and expected satiation. Appetite 60 (2013), 208--219.
[28]
Ciarán G Forde and Dieuwerke Bolhuis. 2022. Interrelations Between Food Form, Texture, and Matrix Influence Energy Intake and Metabolic Responses. Current Nutrition Reports (2022), 1--9.
[29]
Tany E Garcidueñas-Fimbres, Indira Paz-Graniel, Stephanie K Nishi, Jordi Salas-Salvadó, and Nancy Babio. 2021. Eating speed, eating frequency, and their relationships with diet quality, adiposity, and metabolic syndrome, or its components. Nutrients 13, 5 (2021), 1687.
[30]
Thomas Grah, Felix Epp, Martin Wuchse, Alexander Meschtscherjakov, Frank Gabler, Arnd Steinmetz, and Manfred Tscheligi. 2015. Dorsal haptic display: a shape-changing car seat for sensory augmentation of rear obstacles. In Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. 305--312.
[31]
Armita Hamidi and Yonas Tadesse. 2020. 3D printing of very soft elastomer and sacrificial carbohydrate glass/elastomer structures for robotic applications. Materials & Design 187 (2020), 108324.
[32]
Julian Hamilton-Shield, Joanna Goodred, Lesley Powell, Joanna Thorn, Jon Banks, Sandra Hollinghurst, Alan Montgomery, Katrina Turner, and Debbie Sharp. 2014. Changing eating behaviours to treat childhood obesity in the community using Mandolean: the Community Mandolean randomised controlled trial (ComMando)-a pilot study. Health technology assessment (Winchester, England) 18, 47 (2014), i.
[33]
Teng Han, Fraser Anderson, Pourang Irani, and Tovi Grossman. 2018. Hydroring: Supporting mixed reality haptics using liquid flow. In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology. 913--925.
[34]
Spencer E Harpe. 2015. How to analyze Likert and other rating scale data. Currents in pharmacy teaching and learning 7, 6 (2015), 836--850.
[35]
Fabian Hemmert, Matthias Löwe, Anne Wohlauf, and Gesche Joost. 2013. Animate mobiles: proxemically reactive posture actuation as a means of relational interaction with mobile phones. In Proceedings of the 7th International Conference on Tangible, Embedded and Embodied Interaction. 267--270.
[36]
Sander Hermsen, Jeana Frost, Reint Jan Renes, and Peter Kerkhof. 2016. Using feedback through digital technology to disrupt and change habitual behavior: A critical review of current literature. Computers in Human Behavior 57 (2016), 61--74.
[37]
Sander Hermsen, Monica Mars, Suzanne Higgs, Jeana H Frost, and Roel CJ Hermans. 2019. Effects of eating with an augmented fork with vibrotactile feedback on eating rate and body weight: a randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 16, 1 (2019), 1--11.
[38]
Suzanne Higgs and Helen Ruddock. 2020. Social influences on eating. Handbook of eating and drinking: Interdisciplinary perspectives (2020), 277--291.
[39]
Elanor C Hinton, Laura A Birch, John Barton, Jeffrey MP Holly, Kalina M Biernacka, Sam D Leary, Aileen Wilson, Olivia S Byrom, and Julian P Hamilton-Shield. 2018. Using neuroimaging to investigate the impact of Mandolean® training in young people with obesity: a pilot randomised controlled trial. BMC pediatrics 18, 1 (2018), 1--10.
[40]
Gareth J Hollands, Ian Shemilt, Theresa M Marteau, Susan A Jebb, Hannah B Lewis, Yinghui Wei, Julian PT Higgins, and David Ogilvie. 2015. Portion, package or tableware size for changing selection and consumption of food, alcohol and tobacco. Cochrane database of systematic reviews 9 (2015).
[41]
Christian Homburg, Martin Schwemmle, and Christina Kuehnl. 2015. New product design: Concept, measurement, and consequences. Journal of marketing 79, 3 (2015), 41--56.
[42]
Katrina Hordern. 2012. Impacts of social factors on free-living eating rate as assessed by multiple-pass, 24-hour recalls. (2012).
[43]
Hiroo Iwata, Hiroaki Yano, and Naoto Ono. 2005. Volflex. In ACM SIGGRAPH 2005 Emerging technologies. 31-es.
[44]
Lewis J James, Tyler Maher, Jack Biddle, and David R Broom. 2018. Eating with a smaller spoon decreases bite size, eating rate and ad libitum food intake in healthy young males. British Journal of Nutrition 120, 7 (2018), 830--837.
[45]
S Jaspin, R Anbarasan, M Dharini, and R Mahendran. 2021. Structural analysis of tapioca xerogel and its water and oil triggered shape change. Food Structure 30 (2021), 100226.
[46]
Tanika Kelly, Wenjie Yang, Chung-Shiuan Chen, Kristi Reynolds, and Jiang He. 2008. Global burden of obesity in 2005 and projections to 2030. International journal of obesity 32, 9 (2008), 1431--1437.
[47]
Eva C Ketel, Monica G Aguayo-Mendoza, René A de Wijk, Cees de Graaf, Betina Piqueras-Fiszman, and Markus Stieger. 2019. Age, gender, ethnicity and eating capability influence oral processing behaviour of liquid, semi-solid and solid foods differently. Food Research International 119 (2019), 143--151.
[48]
Eva C Ketel, Rene A de Wijk, Cees de Graaf, and Markus Stieger. 2020. Relating oral physiology and anatomy of consumers varying in age, gender and ethnicity to food oral processing behavior. Physiology & Behavior 215 (2020), 112766.
[49]
Seoktae Kim, Hyunjung Kim, Boram Lee, Tek-Jin Nam, and Woohun Lee. 2008. Inflatable mouse: volume-adjustable mouse with air-pressure-sensitive input and haptic feedback. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 211--224.
[50]
Sofie Kinch, Erik Grönvall, Marianne Graves Petersen, and Majken Kirkegaard Rasmussen. 2014. Encounters on a shape-changing bench: exploring atmospheres and social behaviour in situ. In Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction. 233--240.
[51]
Harry R Kissileff. 2022. The Universal Eating Monitor (UEM): objective assessment of food intake behavior in the laboratory setting. International Journal of Obesity (2022), 1--8.
[52]
Kazuki Kobayashi and Seiji Yamada. 2013. Shape changing device for notification. In Proceedings of the adjunct publication of the 26th annual ACM symposium on User interface software and technology. 71--72.
[53]
Karl D Kryter. 2013. The effects of noise on man. Elsevier.
[54]
Marlou Lasschuijt, Monica Mars, Cees de Graaf, and Paul AM Smeets. 2020. How oro-sensory exposure and eating rate affect satiation and associated endocrine responses---a randomized trial. The American journal of clinical nutrition 111, 6 (2020), 1137--1149.
[55]
Young Suk Lee. 2015. Spiky Starfish: Exploring'Felt Technology'Through a Shape Changing Wearable Bag. In Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction. 419--420.
[56]
Daniel Leithinger and Hiroshi Ishii. 2010. Relief: a scalable actuated shape display. In Proceedings of the fourth international conference on Tangible, embedded, and embodied interaction. 221--222.
[57]
James R Lewis. 2018. The system usability scale: past, present, and future. International Journal of Human-Computer Interaction 34, 7 (2018), 577--590.
[58]
Hung-Ming Lin, Chien-Huang Lin, and Hui-Hsi Hung. 2015. Influence of chopstick size on taste evaluations. Psychological Reports 116, 2 (2015), 381--387.
[59]
Clare H Llewellyn, Cornelia HM Van Jaarsveld, David Boniface, Susan Carnell, and Jane Wardle. 2008. Eating rate is a heritable phenotype related to weight in children. The American journal of clinical nutrition 88, 6 (2008), 1560--1566.
[60]
Kirsten H Lund and Jens Petersen. 2002. Safety of food contact silicone rubber: Liberation of volatile compounds from soothers and teats. European food research and technology 214, 5 (2002), 429--434.
[61]
Harvey Mackay. 2020. Etiquette Essentials. Retrieved January 3 (2020), 2020.
[62]
David Marchiori, Olivier Corneille, and Olivier Klein. 2012. Container size influences snack food intake independently of portion size. Appetite 58, 3 (2012), 814--817.
[63]
Corby K Martin, Donald A Williamson, Paula J Geiselman, Heather Walden, Monique Smeets, Silvia Morales, and Stephen Redmann Jr. 2005. Consistency of food intake over four eating sessions in the laboratory. Eating Behaviors 6, 4 (2005), 365--372.
[64]
Signe Lund Mathiesen, Line Ahm Mielby, Derek Victor Byrne, and Qian Janice Wang. 2020. Music to eat by: A systematic investigation of the relative importance of tempo and articulation on eating time. Appetite 155 (2020), 104801.
[65]
Lakmal Meegahapola, Salvador Ruiz-Correa, Viridiana del Carmen Robledo-Valero, Emilio Ernesto Hernandez-Huerfano, Leonardo Alvarez-Rivera, Ronald Chenu-Abente, and Daniel Gatica-Perez. 2021. One More Bite? Inferring Food Consumption Level of College Students Using Smartphone Sensing and Self-Reports. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, 1 (2021), 1--28.
[66]
Alyson A Miller and Sarah J Spencer. 2014. Obesity and neuroinflammation: a pathway to cognitive impairment. Brain, behavior, and immunity 42 (2014), 10--21.
[67]
Brijesh Mishra and Sumit Sharma. 2021. Shape memory materials with reversible shape change and self-healing abilities: A review. Materials Today: Proceedings 44 (2021), 4563--4568.
[68]
Stephan J Motowidlo. 1983. Predicting sales turnover from pay satisfaction and expectation. Journal of Applied Psychology 68, 3 (1983), 484.
[69]
Rei Nakaoka, Yugo Nakamura, Yuki Matsuda, Shinya Misaki, and Keiichi Yasumoto. 2021. eat2pic: Food-tech design as a healthy nudge with smart chopsticks and canvas. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE Computer Society, 389--391.
[70]
Raymond S Nickerson. 1998. Confirmation bias: A ubiquitous phenomenon in many guises. Review of general psychology 2, 2 (1998), 175--220.
[71]
Ilse MT Nijs, Peter Muris, Anja S Euser, and Ingmar HA Franken. 2010. Differences in attention to food and food intake between overweight/obese and normal-weight females under conditions of hunger and satiety. Appetite 54, 2 (2010), 243--254.
[72]
Kimihiro Noguchi, Yulia R Gel, Edgar Brunner, and Frank Konietschke. 2012. nparLD: an R software package for the nonparametric analysis of longitudinal data in factorial experiments. Journal of Statistical software 50 (2012), 1--23.
[73]
Fuka Nojiri and Yasuaki Kakehi. 2014. BelliesWave: color and shape changing pixels using bilayer rubber membranes. In ACM SIGGRAPH 2014 Posters. 1--1.
[74]
T Ohkuma, Y Hirakawa, U Nakamura, Y Kiyohara, T Kitazono, and T Ninomiya. 2015. Association between eating rate and obesity: a systematic review and meta-analysis. International journal of obesity 39, 11 (2015), 1589--1596.
[75]
World Health Organization. 2008. World health statistics 2008. World Health Organization.
[76]
Rei Otsuka, Koji Tamakoshi, Hiroshi Yatsuya, Chiyoe Murata, Atsushi Sekiya, Keiko Wada, Hui Ming Zhang, Kunihiro Matsushita, Kaichiro Sugiura, Seiko Takefuji, et al. 2006. Eating fast leads to obesity: findings based on self-administered questionnaires among middle-aged Japanese men and women. Journal of epidemiology 16, 3 (2006), 117--124.
[77]
Soojin Park and Weon-Sun Shin. 2015. Differences in eating behaviors and masticatory performances by gender and obesity status. Physiology & behavior 138 (2015), 69--74.
[78]
Isabel PS Qamar, Rainer Groh, David Holman, and Anne Roudaut. 2018. HCI meets material science: A literature review of morphing materials for the design of shape-changing interfaces. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 1--23.
[79]
Majken K Rasmussen, Esben W Pedersen, Marianne G Petersen, and Kasper Hornbæk. 2012. Shape-changing interfaces: a review of the design space and open research questions. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 735--744.
[80]
Eric Robinson, Paul Aveyard, and Susan A Jebb. 2015. Is plate clearing a risk factor for obesity? A cross-sectional study of self-reported data in US adults. Obesity 23, 2 (2015), 301--304.
[81]
Barbara J Rolls, Erin L Morris, and Liane S Roe. 2002. Portion size of food affects energy intake in normal-weight and overweight men and women. The American journal of clinical nutrition 76, 6 (2002), 1207--1213.
[82]
Barbara J Rolls, Liane S Roe, Tanja VE Kral, Jennifer S Meengs, and Denise E Wall. 2004. Increasing the portion size of a packaged snack increases energy intake in men and women. Appetite 42, 1 (2004), 63--69.
[83]
Barbara J Rolls, Edward A Rowe, Edmund T Rolls, Breda Kingston, Angela Megson, and Rachel Gunary. 1981. Variety in a meal enhances food intake in man. Physiology & behavior 26, 2 (1981), 215--221.
[84]
S Sasaki, A Katagiri, T Tsuji, T Shimoda, and K Amano. 2003. Self-reported rate of eating correlates with body mass index in 18-y-old Japanese women. International journal of obesity 27, 11 (2003), 1405--1410.
[85]
Hendrik Jan Smit, E Katherine Kemsley, Henri S Tapp, and C Jeya K Henry. 2011. Does prolonged chewing reduce food intake? Fletcherism revisited. Appetite 57, 1 (2011), 295--298.
[86]
Shu-E Soh, Mya Thway Tint, Peter D Gluckman, Keith M Godfrey, Anne Rifkin-Graboi, Yiong Huak Chan, Walter Stünkel, Joanna D Holbrook, Kenneth Kwek, Yap-Seng Chong, et al. 2014. Cohort profile: Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study. International journal of epidemiology 43, 5 (2014), 1401--1409.
[87]
Theresa A Spiegel, Joel M Kaplan, Antonina Tomassini, and Eliot Stellar. 1993. Bite size, ingestion rate, and meal size in lean and obese women. Appetite 21, 2 (1993), 131--145.
[88]
Ryo Suzuki, Clement Zheng, Yasuaki Kakehi, Tom Yeh, Ellen Yi-Luen Do, Mark D Gross, and Daniel Leithinger. 2019. Shapebots: Shape-changing swarm robots. In Proceedings of the 32nd annual ACM symposium on user interface software and technology. 493--505.
[89]
John Tiab and Kasper Hornbæk. 2016. Understanding affordance, system state, and feedback in shape-changing buttons. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 2752--2763.
[90]
Dishita G Turakhia, Yini Qi, Lotta-Gili Blumberg, Andrew Wong, and Stefanie Mueller. 2021. Can Physical Tools That Adapt Their Shape Based on a Learner's Performance Help in Motor Skill Training?. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction (Salzburg, Austria) (TEI '21). Association for Computing Machinery, New York, NY, USA, Article 17, 12 pages. https://doi.org/10.1145/3430524.3440636
[91]
Dishita G Turakhia, Yini Qi, Lotta-Gili Blumberg, Andrew Wong, and Stefanie Mueller. 2021. Can Physical Tools that Adapt their Shape based on a Learner's Performance Help in Motor Skill Training?. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction. 1--12.
[92]
Allan Joshua Veale, Kyrian Staman, and Herman Van Der Kooij. 2021. Soft, wearable, and pleated pneumatic interference actuator provides knee extension torque for sit-to-stand. Soft Robotics 8, 1 (2021), 28--43.
[93]
Luke Vink, Viirj Kan, Ken Nakagaki, Daniel Leithinger, Sean Follmer, Philipp Schoessler, Amit Zoran, and Hiroshi Ishii. 2015. Transform as adaptive and dynamic furniture. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems. 183--183.
[94]
Wen Wang, Lining Yao, Teng Zhang, Chin-Yi Cheng, Daniel Levine, and Hiroshi Ishii. 2017. Transformative appetite: shape-changing food transforms from 2D to 3D by water interaction through cooking. In Proceedings of the 2017 CHI conference on human factors in computing systems. 6123--6132.
[95]
Brian Wansink, James E Painter, and Jill North. 2005. Bottomless bowls: why visual cues of portion size may influence intake. Obesity research 13, 1 (2005), 93--100.
[96]
Brian Wansink and Koert Van Ittersum. 2013. Portion size me: plate-size induced consumption norms and win-win solutions for reducing food intake and waste. Journal of Experimental Psychology: Applied 19, 4 (2013), 320.
[97]
Brian Wansink, Koert Van Ittersum, and James E Painter. 2006. Ice cream illusions: Bowls, spoons, and self-served portion sizes. American journal of preventive medicine 31, 3 (2006), 240--243.
[98]
MS Westerterp-Plantenga, KR Westerterp, NA Nicolson, A Mordant, PFM Schoffelen, and F Ten Hoor. 1990. The shape of the cumulative food intake curve in humans, during basic and manipulated meals. Physiology & behavior 47, 3 (1990), 569--576.
[99]
Laura L Wilkinson, Danielle Ferriday, Matthew L Bosworth, Nicolas Godinot, Nathalie Martin, Peter J Rogers, and Jeffrey M Brunstrom. 2016. Keeping pace with your eating: Visual feedback affects eating rate in humans. PLoS One 11, 2 (2016), e0147603.
[100]
Lining Yao, Ryuma Niiyama, Jifei Ou, Sean Follmer, Clark Della Silva, and Hiroshi Ishii. 2013. PneUI: pneumatically actuated soft composite materials for shape changing interfaces. In Proceedings of the 26th annual ACM symposium on User interface software and Technology. 13--22.
[101]
Lining Yao, Jifei Ou, Chin-Yi Cheng, Helene Steiner, Wen Wang, Guanyun Wang, and Hiroshi Ishii. 2015. BioLogic: natto cells as nanoactuators for shape changing interfaces. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. 1--10.
[102]
Zuoyi Zhang, Junhyeok Kim, Yumiko Sakamoto, Teng Han, and Pourang Irani. 2019. Applying a pneumatic interface to intervene with rapid eating behaviour. In Improving Usability, Safety and Patient Outcomes with Health Information Technology. IOS Press, 513--519.
[103]
Ce Zhong, Ron Wakkary, Amy Yo Sue Chen, and Doenja Oogjes. 2021. deformTable: Crafting a Shape-changing Device for Creative Appropriations Over Time. In Designing Interactive Systems Conference 2021. 1253--1265.
[104]
Lei Zhou, Chu Zhang, Fei Liu, Zhengjun Qiu, and Yong He. 2019. Application of deep learning in food: a review. Comprehensive reviews in food science and food safety 18, 6 (2019), 1793--1811.
[105]
Yong Zhu and James H Hollis. 2014. Increasing the number of chews before swallowing reduces meal size in normal-weight, overweight, and obese adults. Journal of the Academy of Nutrition and Dietetics 114, 6 (2014), 926--931.

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 6, Issue 3
September 2022
1612 pages
EISSN:2474-9567
DOI:10.1145/3563014
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Published: 07 September 2022
Published in IMWUT Volume 6, Issue 3

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  1. Eating rate
  2. Empirical study
  3. Human food interaction
  4. Shape-changing interfaces

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