[\/et_pb_text][et_pb_image src=”https:\/\/dev-cdn.cafeimports.com\/images\/Cafe_Imports_Sensory_Analysis_2024-6-web.jpg” title_text=”Cafe_Imports_Sensory_Analysis_2024-6-web” _builder_version=”4.25.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” header_3_font=”Raleway|700|||||||” global_colors_info=”{}”]<\/p>\n
Cupping Design with Errors in Mind<\/span><\/span>\u00a0<\/span>\u200b
<\/h3>\nAs part of our study of sensory science and its practical application to specialty coffee, our sensory lab tested and demonstrated the efficacy of some common sensory errors. It\u2019s one thing to know that these errors exist, but it\u2019s quite another to observe and experience them. <\/span>It must be emphasized again that these errors are things that we are all susceptible to as human tasters.<\/span><\/i> There may be differing skill levels among cuppers. Some may even know how various of these errors occur. Even the most skilled and informed cuppers are susceptible to errors like Adaptation.\u00a0<\/span>\u00a0<\/span><\/p>\nFor this reason, it is (highly) preferable that cuppers be allowed to focus their talents on the assessment of coffee rather than the assessment of assessment, and God forbid, course correction while still attempting to assess coffee. At the end of the day, humans cannot help but be human. By far, the best practice is to control for sensory errors at the level of cupping design long before your cuppers start grinding coffee.<\/span>\u00a0<\/span><\/p>\n<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ make_equal=”on” _builder_version=”4.25.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.25.0″ _module_preset=”default” custom_css_main_element=”margin: auto;||” global_colors_info=”{}”][et_pb_text _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” header_3_font=”Raleway|700|||||||” global_colors_info=”{}”]<\/p>\n
Our goal for running these trials was to better understand cupper susceptibility to sensory errors and identify where they could occur in our cupping processes. This information would be used to design practical controls in our daily cupping protocols. We\u2019ll see that given the number of possible errors and their overlaps and interactions, perfect cupping protocols and forms are impossible. And yet, we\u2019ll also see that the common sensory errors are addressable. We\u2019ll see that doing so sets one\u2019s entire cupping panel up for success, and the cost of accomplishment is no more than an open mind and a bit of creativity.<\/span>\u00a0<\/span><\/p>\nMuch hay has been made in the last few years about sensory science in specialty coffee. Hopefully, people will not end up with their carts before their horses. Complexities and inefficiencies in cupping form design are less detrimental when supported by robust protocol. Everyone can benefit from giving more bandwidth to developing practical and easily applicable\u00b9<\/a> controls for these common sensory errors.<\/span>\u00a0<\/span><\/p>\nIndividuals may become better cuppers by tasting various solutions and infusions. Or they may not. A panel will always become better cuppers when their susceptibility to error is reduced or controlled.<\/span>\u00a0<\/span><\/p>\n<\/p>\n
[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.25.0″ _module_preset=”default” custom_css_main_element=”margin:auto;||” global_colors_info=”{}”][et_pb_image src=”https:\/\/dev-cdn.cafeimports.com\/images\/Cafe_Imports_Sensory-Analysis_2022-11-web.jpg” title_text=”Cafe_Imports_Sensory Analysis_2022-11-web” _builder_version=”4.25.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”||0px||false|false” custom_padding=”||||true|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.22.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” header_3_font=”Raleway|700|||||||” width=”100%” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n
Testing<\/span> for Adaptation<\/span><\/span><\/h3>\nA decrease or change in sensitivity to a given stimulus as a result of continued exposure to that stimulus or a similar one. For example, sugar can dampen the subsequent perception of sweetness (something moderately sweet may seem weakly sweet when tasted after something very sweet).<\/span><\/i>\u00a0<\/span><\/p>\n<\/p>\n
[\/et_pb_text][et_pb_image src=”https:\/\/dev-cdn.cafeimports.com\/images\/cupping-solutions-01.png” title_text=”cupping-solutions-01″ _builder_version=”4.25.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” header_3_font=”Raleway|700|||||||” width=”100%” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n
Test:<\/span><\/b> A series of 10 dextrose solutions were presented to 9 trained coffee tasters (T1 – T9 in the table below), who were asked to rate the sweetness of each solution from 1 (Least Sweet) to 3 (Most Sweet).\u00a0<\/span>\u00a0<\/span><\/p>\n\n- Solutions were created in 3 strength concentrations: A, B, and C, with A being the lowest concentration, B being three times the concentration of A, and C being five times A\u2019s concentration.\u00a0<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
\n- Tasters were able to identify and sort these concentrations in a simple exercise.\u00a0<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
\n- For the test, tasters were given a reference sample of each solution plus one of water before taking the test and were allowed access to the references during the test.\u00a0<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
\n- Solutions were presented blindly in the following order:<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
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[\/et_pb_text][et_pb_image src=”https:\/\/dev-cdn.cafeimports.com\/images\/cupping-solutions-02.png” title_text=”cupping-solutions-02″ url=”https:\/\/dev-cdn.cafeimports.com\/images\/Sensory-errors-table.pdf” url_new_window=”on” _builder_version=”4.25.0″ _module_preset=”default” custom_padding=”0px|0px|0px|0px|false|false” global_colors_info=”{}”][\/et_pb_image][et_pb_text quote_border_color=”#98b481″ _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” header_3_font=”Raleway|700|||||||” width=”100%” custom_margin=”||-4px|||” custom_padding=”18px||||false|false” global_colors_info=”{}”]<\/p>\n
Hypothesis:<\/span><\/b> We expected that the final B solution, labeled B<\/span>H2<\/sub><\/span> (strength B, Hypothesis test solution 2), would be rated less sweet than the rest of the B solutions. We also thought the first B<\/span>H1<\/sub><\/span> solution might be rated as less sweet than the other B solutions. These two hypotheses assumed that the Adaptation Error would be localized such that a familiar level of sweetness following a novel high level of sweetness would be underrated. We were uncertain if an Adaptation effect would occur as early as the B<\/span>H1<\/sub><\/span> placement.<\/span>\u00a0<\/span><\/p>\nAnother possibility was that an Adaptation Error would be more cumulative than localized, and the solutions in the latter half of the series would tend to be rated less sweet than their counterparts in the first half.<\/span>\u00a0<\/span><\/p>\nWe included a C solution early in the series to help avoid a Habituation Error\u00b2<\/a> and to give a sense of the cumulative impact of any Adaptation effect. If the first C sample were rated sweeter than the last two, this could suggest a more cumulative impact. If the C samples were rated with relative parity and the BH<\/sub><\/span>\u00a0solutions were rated relatively less sweet than the other B solutions, this would suggest a more localized Adaptation effect.<\/span>\u00a0<\/span><\/p>\nFormally stated, our hypotheses were:<\/span>\u00a0<\/span><\/p>\n\nH<\/span>0<\/sub><\/span>:<\/span> B = BH<\/sub><\/span>\u00a0<\/span><\/p>\nH<\/span>A<\/sub><\/span>:<\/span> B > BH<\/sub><\/span><\/p>\n<\/blockquote>\n<\/p>\n
[\/et_pb_text][et_pb_text quote_border_color=”#98b481″ _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” quote_font=”Raleway|500|||||||” quote_font_size=”18px” header_3_font=”Raleway|700|||||||” header_3_text_color=”#474747″ header_4_font=”Raleway|600|||||||” header_4_text_color=”#474747″ global_colors_info=”{}”]<\/p>\n
Results<\/span><\/b>: The two BH <\/sub><\/span>solutions were equally rated as the least sweet on the table, with mean scores of 1.11. The three C solutions were rated at relative parity with mean scores of 2.78, 2.89, and 2.78. The mean value for B (excluding the B<\/span>H<\/sub><\/span> solutions) was 1.56, while the mean value for the BH<\/sub><\/span>\u00a0solutions was 1.11.<\/span>\u00a0<\/span><\/p>\nIn addition to the likelihood of having observed an Adaptation Error, we can point out that the tasters were either biased or tentative against answering 2, though not enough to rule out an Adaptation effect. Tasters were much more confident answering 3 for the C solutions, where the mean rating was only 0.22 below the actual strength vs nearly half a point for the B solutions. C Solutions received only 5 ratings of 2 out of 27 total ratings. B solutions (excluding BH<\/sub><\/span>\u00a0solutions) received only one rating of 3 and 21 ratings of 1 out of 45. The first B solution was rated the strongest B solution overall. The decline in B solution ratings could come from a cumulative Adaptation effect or a sort of Expectation Error\u00b3<\/a>, whereby tasters were looking for A solutions despite none being presented in the test and having a reference provided.<\/span>\u00a0<\/span><\/p>\n<\/p>\n
[\/et_pb_text][et_pb_image src=”https:\/\/dev-cdn.cafeimports.com\/images\/cupping-solutions-04.png” title_text=”cupping-solutions-04″ _builder_version=”4.25.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text quote_border_color=”#98b481″ _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” quote_font=”Raleway|500|||||||” quote_font_size=”18px” header_3_font=”Raleway|700|||||||” header_3_text_color=”#474747″ header_4_font=”Raleway|600|||||||” header_4_text_color=”#474747″ global_colors_info=”{}”]<\/p>\n
Given the mean and deviation of the scores for the \u201cnon-hypothesis\u201d B solutions (1, 2, 5, 6, 7) as compared to those for our BH<\/sub><\/span> solutions (4, 9), it is unlikely that our BH<\/sub><\/span>\u00a0values could have occurred by chance. Using what is known as a \u201cOne Sample T Test,\u201d we can estimate the likelihood of a sample with the BH<\/sub><\/span>\u00a0values being pulled from a population with the B values. In this case, the likelihood is about 0.01%.<\/span>\u00a0<\/span><\/p>\nIn this case, we reject the null hypothesis in favor of the alternative:<\/span>\u00a0<\/span><\/p>\n\nH<\/span>0<\/sub><\/span>:<\/span> B = B<\/span>H<\/sub><\/span>\u00a0<\/span><\/span><\/p>\nH<\/span>A<\/sub><\/span>:<\/span> B > BH<\/sub>\u00a0<\/span>\u00a0<\/span><\/p>\n<\/blockquote>\n<\/p>\n
[\/et_pb_text][et_pb_text _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” header_3_font=”Raleway|700|||||||” width=”100%” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n
Controlling for Adaptation<\/span><\/span><\/h3>\nAdaptation is very difficult to control for in a high-volume sample cupping situation. Time and deadlines frequently push assessors toward Adaptation. Breaks must be built into the assessment protocol, and \u201cpushing through\u201d should be avoided. We want to reduce the amount of brewed coffee that a person uses to perform their assessment. Assessors must learn to do their assessments as efficiently as possible, requiring focus on the task at hand and an understanding of the protocol in use. This can be accomplished with training and test design.<\/span>\u00a0<\/span><\/p>\nTables should be arranged with coffees from different sources or differing expected grades as much as possible. Adaptation can combine potently with Habituation and we want to interrupt those tendencies. Even in a low sample volume setting, this can be accomplished by keeping a green retention sample library. Rather than roasting through or tossing out old samples, these can be kept to help build out tables and blind the coffees that you\u2019re actively interested in assessing. Current lots can, of course, be used in this way, too.<\/span>\u00a0<\/span><\/p>\nAdaptation counter-indicates test designs in which cuppers are presented with multiple cups for each sample set, particularly when additional demands are made to scour those cups for inconsistencies, poorly defined concepts of cleanliness, or other vague metrics. Multi-cup designs, for example, the 5-cup presentation\u2074<\/a> used by the SCA, give the impression of thoroughness while undermining an assessor\u2019s capacity for thorough analysis by dragging them into Adaptation, Habituation, and a surprising number of other errors. We are wise to be wary of protocols that are new just to be new, but we should be equally careful of the lure of \u201cthe way it\u2019s always been done.\u201d<\/span>\u00a0<\/span><\/p>\nWhile taste Adaptation will occur across origins and processing types (as the basic adaptive compounds are the same), we have observed that decoupling it from aromatic Adaptation seems to help. We encourage cuppers to vary the order in which they assess a table of coffees such that the 2nd and 3rd passes are not performed in the same order as the 1st pass. I strongly encourage cupping administrators to seek ways to present samples more than once and in different orders or groupings. Our system utilizes blind replication of samples in random placements within and across flights. The work we present in the <\/span>Coffee Rose<\/span><\/a> is underpinned and preceded by years of study, demonstrative trials like that presented here, and subsequent process iterations. This larger methodology is the root and stem upon which the Rose is very much a flower.<\/span>\u00a0<\/span><\/p>\n<\/p>\n
[\/et_pb_text][et_pb_text quote_border_color=”#98b481″ _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” quote_font=”Raleway|500|||||||” quote_font_size=”18px” header_3_font=”Raleway|700|||||||” header_3_text_color=”#474747″ header_4_font=”Raleway|600|||||||” header_4_text_color=”#474747″ global_colors_info=”{}”]<\/p>\n
<\/p>\n
\n <\/p>\n
\u00b9There is some evidence that the speed and degree of taste adaptation are reduced by <\/span>mouth<\/span> and tongue movement during tasting. In addition to slurping, it is also valid to \u201cchew\u201d and \u201cswish\u201d your coffee while cupping.<\/span>\u00a0<\/span><\/p>\n\u00b2<\/span>Habituation Error<\/span><\/b>: Tendency to continue to give the same response when a series of slowly increasing or decreasing stimuli are presented. Example: The same response of slowly increasing or decreasing stimuli is presented when cupping a series of 84-85 tables and missing 83s or 86s.<\/span>\u00a0<\/span><\/p>\n\u00b3<\/span>Expectation Error<\/span><\/b>: Information given with the sample may trigger preconceived ideas. Example: Naturally processed coffees are fruity in flavor.<\/span>\u00a0<\/span><\/p>\n\u2074<\/span>Five-Cup Presentation:<\/span><\/b>\u00a0<\/span><\/p>\n![\"\"](\"https:\/\/dev-cdn.cafeimports.com\/images\/cupping-solutions-03-300x133.png\")
<\/p>\n
\n <\/p>\n
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[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"
In sensory analysis, common physiological and psychological sensory errors should be accounted for when designing cupping protocols. Ian Fretheim, Director of Sensory Analysis, is diving into the research around these common sensory errors and explaining how we can control for them. Check out the second article of the series here.<\/p>\n","protected":false},"author":388,"featured_media":56505,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[240],"tags":[38,453,182,444],"class_list":["post-56502","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-education","tag-cupping","tag-ian-fretheim","tag-sensory-analysis","tag-sensory-errors"],"site_id":"","_links":{"self":[{"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/posts\/56502","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/users\/388"}],"replies":[{"embeddable":true,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/comments?post=56502"}],"version-history":[{"count":26,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/posts\/56502\/revisions"}],"predecessor-version":[{"id":58041,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/posts\/56502\/revisions\/58041"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/media\/56505"}],"wp:attachment":[{"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/media?parent=56502"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/categories?post=56502"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/tags?post=56502"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
For this reason, it is (highly) preferable that cuppers be allowed to focus their talents on the assessment of coffee rather than the assessment of assessment, and God forbid, course correction while still attempting to assess coffee. At the end of the day, humans cannot help but be human. By far, the best practice is to control for sensory errors at the level of cupping design long before your cuppers start grinding coffee.<\/span>\u00a0<\/span><\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ make_equal=”on” _builder_version=”4.25.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.25.0″ _module_preset=”default” custom_css_main_element=”margin: auto;||” global_colors_info=”{}”][et_pb_text _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” header_3_font=”Raleway|700|||||||” global_colors_info=”{}”]<\/p>\n Our goal for running these trials was to better understand cupper susceptibility to sensory errors and identify where they could occur in our cupping processes. This information would be used to design practical controls in our daily cupping protocols. We\u2019ll see that given the number of possible errors and their overlaps and interactions, perfect cupping protocols and forms are impossible. And yet, we\u2019ll also see that the common sensory errors are addressable. We\u2019ll see that doing so sets one\u2019s entire cupping panel up for success, and the cost of accomplishment is no more than an open mind and a bit of creativity.<\/span>\u00a0<\/span><\/p>\n Much hay has been made in the last few years about sensory science in specialty coffee. Hopefully, people will not end up with their carts before their horses. Complexities and inefficiencies in cupping form design are less detrimental when supported by robust protocol. Everyone can benefit from giving more bandwidth to developing practical and easily applicable\u00b9<\/a> controls for these common sensory errors.<\/span>\u00a0<\/span><\/p>\n Individuals may become better cuppers by tasting various solutions and infusions. Or they may not. A panel will always become better cuppers when their susceptibility to error is reduced or controlled.<\/span>\u00a0<\/span><\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.25.0″ _module_preset=”default” custom_css_main_element=”margin:auto;||” global_colors_info=”{}”][et_pb_image src=”https:\/\/dev-cdn.cafeimports.com\/images\/Cafe_Imports_Sensory-Analysis_2022-11-web.jpg” title_text=”Cafe_Imports_Sensory Analysis_2022-11-web” _builder_version=”4.25.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”||0px||false|false” custom_padding=”||||true|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.22.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” header_3_font=”Raleway|700|||||||” width=”100%” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n A decrease or change in sensitivity to a given stimulus as a result of continued exposure to that stimulus or a similar one. For example, sugar can dampen the subsequent perception of sweetness (something moderately sweet may seem weakly sweet when tasted after something very sweet).<\/span><\/i>\u00a0<\/span><\/p>\n <\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/dev-cdn.cafeimports.com\/images\/cupping-solutions-01.png” title_text=”cupping-solutions-01″ _builder_version=”4.25.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” header_3_font=”Raleway|700|||||||” width=”100%” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n Test:<\/span><\/b> A series of 10 dextrose solutions were presented to 9 trained coffee tasters (T1 – T9 in the table below), who were asked to rate the sweetness of each solution from 1 (Least Sweet) to 3 (Most Sweet).\u00a0<\/span>\u00a0<\/span><\/p>\n <\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/dev-cdn.cafeimports.com\/images\/cupping-solutions-02.png” title_text=”cupping-solutions-02″ url=”https:\/\/dev-cdn.cafeimports.com\/images\/Sensory-errors-table.pdf” url_new_window=”on” _builder_version=”4.25.0″ _module_preset=”default” custom_padding=”0px|0px|0px|0px|false|false” global_colors_info=”{}”][\/et_pb_image][et_pb_text quote_border_color=”#98b481″ _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” header_3_font=”Raleway|700|||||||” width=”100%” custom_margin=”||-4px|||” custom_padding=”18px||||false|false” global_colors_info=”{}”]<\/p>\n Hypothesis:<\/span><\/b> We expected that the final B solution, labeled B<\/span>H2<\/sub><\/span> (strength B, Hypothesis test solution 2), would be rated less sweet than the rest of the B solutions. We also thought the first B<\/span>H1<\/sub><\/span> solution might be rated as less sweet than the other B solutions. These two hypotheses assumed that the Adaptation Error would be localized such that a familiar level of sweetness following a novel high level of sweetness would be underrated. We were uncertain if an Adaptation effect would occur as early as the B<\/span>H1<\/sub><\/span> placement.<\/span>\u00a0<\/span><\/p>\n Another possibility was that an Adaptation Error would be more cumulative than localized, and the solutions in the latter half of the series would tend to be rated less sweet than their counterparts in the first half.<\/span>\u00a0<\/span><\/p>\n We included a C solution early in the series to help avoid a Habituation Error\u00b2<\/a> and to give a sense of the cumulative impact of any Adaptation effect. If the first C sample were rated sweeter than the last two, this could suggest a more cumulative impact. If the C samples were rated with relative parity and the BH<\/sub><\/span>\u00a0solutions were rated relatively less sweet than the other B solutions, this would suggest a more localized Adaptation effect.<\/span>\u00a0<\/span><\/p>\n Formally stated, our hypotheses were:<\/span>\u00a0<\/span><\/p>\n H<\/span>0<\/sub><\/span>:<\/span> B = BH<\/sub><\/span>\u00a0<\/span><\/p>\n H<\/span>A<\/sub><\/span>:<\/span> B > BH<\/sub><\/span><\/p>\n<\/blockquote>\n <\/p>\n [\/et_pb_text][et_pb_text quote_border_color=”#98b481″ _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” quote_font=”Raleway|500|||||||” quote_font_size=”18px” header_3_font=”Raleway|700|||||||” header_3_text_color=”#474747″ header_4_font=”Raleway|600|||||||” header_4_text_color=”#474747″ global_colors_info=”{}”]<\/p>\n Results<\/span><\/b>: The two BH <\/sub><\/span>solutions were equally rated as the least sweet on the table, with mean scores of 1.11. The three C solutions were rated at relative parity with mean scores of 2.78, 2.89, and 2.78. The mean value for B (excluding the B<\/span>H<\/sub><\/span> solutions) was 1.56, while the mean value for the BH<\/sub><\/span>\u00a0solutions was 1.11.<\/span>\u00a0<\/span><\/p>\n In addition to the likelihood of having observed an Adaptation Error, we can point out that the tasters were either biased or tentative against answering 2, though not enough to rule out an Adaptation effect. Tasters were much more confident answering 3 for the C solutions, where the mean rating was only 0.22 below the actual strength vs nearly half a point for the B solutions. C Solutions received only 5 ratings of 2 out of 27 total ratings. B solutions (excluding BH<\/sub><\/span>\u00a0solutions) received only one rating of 3 and 21 ratings of 1 out of 45. The first B solution was rated the strongest B solution overall. The decline in B solution ratings could come from a cumulative Adaptation effect or a sort of Expectation Error\u00b3<\/a>, whereby tasters were looking for A solutions despite none being presented in the test and having a reference provided.<\/span>\u00a0<\/span><\/p>\n <\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/dev-cdn.cafeimports.com\/images\/cupping-solutions-04.png” title_text=”cupping-solutions-04″ _builder_version=”4.25.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text quote_border_color=”#98b481″ _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” quote_font=”Raleway|500|||||||” quote_font_size=”18px” header_3_font=”Raleway|700|||||||” header_3_text_color=”#474747″ header_4_font=”Raleway|600|||||||” header_4_text_color=”#474747″ global_colors_info=”{}”]<\/p>\n Given the mean and deviation of the scores for the \u201cnon-hypothesis\u201d B solutions (1, 2, 5, 6, 7) as compared to those for our BH<\/sub><\/span> solutions (4, 9), it is unlikely that our BH<\/sub><\/span>\u00a0values could have occurred by chance. Using what is known as a \u201cOne Sample T Test,\u201d we can estimate the likelihood of a sample with the BH<\/sub><\/span>\u00a0values being pulled from a population with the B values. In this case, the likelihood is about 0.01%.<\/span>\u00a0<\/span><\/p>\n In this case, we reject the null hypothesis in favor of the alternative:<\/span>\u00a0<\/span><\/p>\n H<\/span>0<\/sub><\/span>:<\/span> B = B<\/span>H<\/sub><\/span>\u00a0<\/span><\/span><\/p>\n H<\/span>A<\/sub><\/span>:<\/span> B > BH<\/sub>\u00a0<\/span>\u00a0<\/span><\/p>\n<\/blockquote>\n <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” header_3_font=”Raleway|700|||||||” width=”100%” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n Adaptation is very difficult to control for in a high-volume sample cupping situation. Time and deadlines frequently push assessors toward Adaptation. Breaks must be built into the assessment protocol, and \u201cpushing through\u201d should be avoided. We want to reduce the amount of brewed coffee that a person uses to perform their assessment. Assessors must learn to do their assessments as efficiently as possible, requiring focus on the task at hand and an understanding of the protocol in use. This can be accomplished with training and test design.<\/span>\u00a0<\/span><\/p>\n Tables should be arranged with coffees from different sources or differing expected grades as much as possible. Adaptation can combine potently with Habituation and we want to interrupt those tendencies. Even in a low sample volume setting, this can be accomplished by keeping a green retention sample library. Rather than roasting through or tossing out old samples, these can be kept to help build out tables and blind the coffees that you\u2019re actively interested in assessing. Current lots can, of course, be used in this way, too.<\/span>\u00a0<\/span><\/p>\n Adaptation counter-indicates test designs in which cuppers are presented with multiple cups for each sample set, particularly when additional demands are made to scour those cups for inconsistencies, poorly defined concepts of cleanliness, or other vague metrics. Multi-cup designs, for example, the 5-cup presentation\u2074<\/a> used by the SCA, give the impression of thoroughness while undermining an assessor\u2019s capacity for thorough analysis by dragging them into Adaptation, Habituation, and a surprising number of other errors. We are wise to be wary of protocols that are new just to be new, but we should be equally careful of the lure of \u201cthe way it\u2019s always been done.\u201d<\/span>\u00a0<\/span><\/p>\n While taste Adaptation will occur across origins and processing types (as the basic adaptive compounds are the same), we have observed that decoupling it from aromatic Adaptation seems to help. We encourage cuppers to vary the order in which they assess a table of coffees such that the 2nd and 3rd passes are not performed in the same order as the 1st pass. I strongly encourage cupping administrators to seek ways to present samples more than once and in different orders or groupings. Our system utilizes blind replication of samples in random placements within and across flights. The work we present in the <\/span>Coffee Rose<\/span><\/a> is underpinned and preceded by years of study, demonstrative trials like that presented here, and subsequent process iterations. This larger methodology is the root and stem upon which the Rose is very much a flower.<\/span>\u00a0<\/span><\/p>\n <\/p>\n [\/et_pb_text][et_pb_text quote_border_color=”#98b481″ _builder_version=”4.25.0″ _module_preset=”default” text_font=”Raleway||||||||” quote_font=”Raleway|500|||||||” quote_font_size=”18px” header_3_font=”Raleway|700|||||||” header_3_text_color=”#474747″ header_4_font=”Raleway|600|||||||” header_4_text_color=”#474747″ global_colors_info=”{}”]<\/p>\n <\/p>\n <\/p>\n \u00b9There is some evidence that the speed and degree of taste adaptation are reduced by <\/span>mouth<\/span> and tongue movement during tasting. In addition to slurping, it is also valid to \u201cchew\u201d and \u201cswish\u201d your coffee while cupping.<\/span>\u00a0<\/span><\/p>\n \u00b2<\/span>Habituation Error<\/span><\/b>: Tendency to continue to give the same response when a series of slowly increasing or decreasing stimuli are presented. Example: The same response of slowly increasing or decreasing stimuli is presented when cupping a series of 84-85 tables and missing 83s or 86s.<\/span>\u00a0<\/span><\/p>\n \u00b3<\/span>Expectation Error<\/span><\/b>: Information given with the sample may trigger preconceived ideas. Example: Naturally processed coffees are fruity in flavor.<\/span>\u00a0<\/span><\/p>\n \u2074<\/span>Five-Cup Presentation:<\/span><\/b>\u00a0<\/span><\/p>\n <\/p>\n Want to be notified of the next blog release? Sign up for our newsletter below.<\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" In sensory analysis, common physiological and psychological sensory errors should be accounted for when designing cupping protocols. Ian Fretheim, Director of Sensory Analysis, is diving into the research around these common sensory errors and explaining how we can control for them. Check out the second article of the series here.<\/p>\n","protected":false},"author":388,"featured_media":56505,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[240],"tags":[38,453,182,444],"class_list":["post-56502","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-education","tag-cupping","tag-ian-fretheim","tag-sensory-analysis","tag-sensory-errors"],"site_id":"","_links":{"self":[{"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/posts\/56502","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/users\/388"}],"replies":[{"embeddable":true,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/comments?post=56502"}],"version-history":[{"count":26,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/posts\/56502\/revisions"}],"predecessor-version":[{"id":58041,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/posts\/56502\/revisions\/58041"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/media\/56505"}],"wp:attachment":[{"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/media?parent=56502"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/categories?post=56502"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dev.cafeimports.com\/australia\/blog\/wp-json\/wp\/v2\/tags?post=56502"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Testing<\/span> for Adaptation<\/span><\/span><\/h3>\n
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Controlling for Adaptation<\/span><\/span><\/h3>\n
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