Affordances in Modern Web Design

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Andrew Maier discusses and defines affordances, a concept that is rooted in psychology, and first manifested within a practical application in industrial design. Andrew then shows how to bring these concepts to web and interface design. Lastly, Andrew speaks to overdesign in interface design and how to avoid it.

Design Technology Business

Aﬀordances
in modern web design

andrew maier

Friday, March 26, 2010

Andrew Maier
Interaction Designer &
User Experience Enthusiast
andrew@uxbooth.com
@andrewmaier

Friday, March 26, 2010

what’s up with
“modern web design,”
Andrew?

Friday, March 26, 2010

the web has
Changed
Friday, March 26, 2010

part

I fundamental
Concepts

Friday, March 26, 2010

Aﬀordance
The quality of an object allowing
an action–relationship with an
actor.

Friday, March 26, 2010

a tour of
Aﬀordability
Friday, March 26, 2010

What does this thing do?

Friday, March 26, 2010

No, seriously:
What does this thing
f***ing do?!
Friday, March 26, 2010

Signiﬁer
A discrete unit of meaning,
including words, images,
gestures, scents, tastes, textures,
sounds.

Friday, March 26, 2010

“ e are all detectives, searching for clues to
enable us to function in this complex world.
Whether it is ags waving in the wind, the
diﬀerence between empty or crowded train
platforms, or the desire lines illustrated by
footprints in the elds that suggest paths to
follow, we search for signi cant signs in
the world that oﬀer guidance. ”

Friday, March 26, 2010

The Design of Everyday Things
Don Norman

Friday, March 26, 2010

a
part bit of
Industrial
II Design

Friday, March 26, 2010

you’re such a
Tool
Friday, March 26, 2010

Aﬀordances
&
Constraints
Friday, March 26, 2010

Conceptual
Models
Friday, March 26, 2010

System Model Mental Model

Interface Model

Friday, March 26, 2010

part
applied to
III Websites

Friday, March 26, 2010

microscopic &
Macroscopic
Friday, March 26, 2010

application
Elements
Friday, March 26, 2010

I’m a Button, believe you me

Friday, March 26, 2010

Don’t Make Me Think
Steve Krug
Aﬀordances
Friday, March 26, 2010

application
Layout
Friday, March 26, 2010

panel–selector

list

list
description

Friday, March 26, 2010

canvas + palette

Friday, March 26, 2010

one-window drilldown

Friday, March 26, 2010

Designing Interfaces
Jennifer Tidwell
Aﬀordances
Friday, March 26, 2010

application
Context
Friday, March 26, 2010

“ hould actions be buttons or links? It depends on the
action. Should a calendar view be in list-form or
grid-form? It depends where it’s being shown and
how long the time period is. Does every global
navigation link need to be on every page? Do you
need a global search bar everywhere? Do you need
the same exact footer on each page? e answer: “It
depends.”

–Getting Real, 37signals

Friday, March 26, 2010

Patterns
Standards
Metaphor
Friday, March 26, 2010

http://
ui-patterns.com

http://
developer.yahoo.com
/ypatterns/

Aﬀordances
Friday, March 26, 2010

Designing Web Interfaces
Bill Scott & Theresa Neil
Aﬀordances
Friday, March 26, 2010

header

content

footer
Friday, March 26, 2010

part don’t try
too
IV
Hard
Friday, March 26, 2010

independent of
visceral response,
this
Requires
cognition
Friday, March 26, 2010

the uncanny
Valley
Friday, March 26, 2010

“ n 1978, the Japanese roboticist Masahiro
Mori noticed something interesting: e more
humanlike his robots became, the more people
were attracted to them, but only up to a point.
If an android become too realistic and lifelike,
suddenly people were repelled and disgusted.”

–Clive ompson

Friday, March 26, 2010

lifelike = lifeless

Friday, March 26, 2010

identify possibilities

Friday, March 26, 2010

learn from
the
World
Friday, March 26, 2010

speak clearly &
in context

Friday, March 26, 2010

http://uxbooth.com
Friday, March 26, 2010

Fin

@andrewmaier
andrew@uxbooth.com
Friday, March 26, 2010

References
WEBSITES BOOKS
•http://www.usabilitypost.com/ • The Design of Everyday Things
•http://www.37signals.com/ • Designing Interfaces
•http://www.codinghorror.com/ • Designing Web Interfaces
•http://www.slate.com • Bringing Design to Software
•http://wikipedia.org • Don’t Make Me Think
•http://jnd.org
•http://www.jnd.org/dn.mss/
signifiers_not_affordances.html WHITE PAPERS
•http://www.akomarov.com • Affordances Explained, May 2003
•http://smashingmagazine.com • http://hci.stanford.edu/bds/2-liddle.html
•http://uiscraps.tumblr.com/

Friday, March 26, 2010

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Recommendation systems today are widely used across many applications such as in multimedia content platforms, social networks, and ecommerce, to provide suggestions to users that are most likely to fulfill their needs, thereby improving the user experience. Academic research, to date, largely focuses on the performance of recommendation models in terms of ranking quality or accuracy measures, which often don’t directly translate into improvements in the real-world. In this talk, we present some of the most interesting challenges that we face in the personalization efforts at Netflix. The goal of this talk is to sunshine challenging research problems in industrial recommendation systems and start a conversation about exciting areas of future research.

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Talk from QCon SF on 2018-11-05 For many years, the main goal of the Netflix personalized recommendation system has been to get the right titles in front each of our members at the right time. With a catalog spanning thousands of titles and a diverse member base spanning over a hundred million accounts, recommending the titles that are just right for each member is crucial. But the job of recommendation does not end there. Why should you care about any particular title we recommend? What can we say about a new and unfamiliar title that will pique your interest? How do we convince you that a title is worth watching? Answering these questions is critical in helping our members discover great content, especially for unfamiliar titles. One way to do this is to consider the artwork or imagery we use to visually portray each title. If the artwork representing a title captures something compelling to you, then it acts as a gateway into that title and gives you some visual “evidence” for why the title might be good for you. Selecting good artwork is important because it may be the first time a member becomes aware of a title (and sometimes the only time), so it must speak to them in a meaningful way. In this talk, we will present an approach for personalizing the artwork we show for each title on the Netflix homepage. We will look at how to frame this as a machine learning problem using contextual multi-armed bandits in a recommendation system setting. We will also describe the algorithmic and system challenges involved in getting this type of approach for artwork personalization to succeed at Netflix scale. Finally, we will discuss some of the future opportunities that we see to expand and improve upon this approach.

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Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.

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These are the slides of my invited talk at the REVEAL workshop at RecSys 2019. The workshop focuses on the offline evaluation for recommender systems, and this year’s focus was on Reinforcement Learning. Although not directly related to reinforcement learning, it is clear that there are connections to what research in reinforcement learning is attempting to achieve (defining the rewards) and metrics that are optimized by recommender systems. I presented various works and personal thoughts on how to develop metrics of user engagement, which recommender systems can optimize for. An important message was that, for recommender systems to work both in the short and the long-term, it is important to consider the heterogeneity of both user and content to formalise the notion of engagement, and in turn design the appropriate metrics to capture these and optimize for. One way to achieve this is to follow these four steps: 1) Understanding intents; 2) Optimizing for the right metric; 3) Acting on segmentation; and 4) Thinking about diversity. An previous version of this talk was given to UMAP 2019. See https://www.slideshare.net/mounialalmas/metrics-engagement-personalization

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Nick Schmidt of BLDS, LLC to the Maryland AI meetup, June 4, 2019 (https://www.meetup.com/Maryland-AI). Nick discusses ideas of fairness and how they apply to machine learning. He explores recent academic work on identifying and mitigating bias, and how his work in lending and employment can be applied to other industries. Nick explains how to measure whether an algorithm is fair and also demonstrate the techniques that model builders can use to ameliorate bias when it is found.

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Affordances in Modern Web Design

1. Aﬀordances in modern web design andrew maier Friday, March 26, 2010

2. Andrew Maier Interaction Designer & User Experience Enthusiast andrew@uxbooth.com @andrewmaier Friday, March 26, 2010

3. what’s up with “modern web design,” Andrew? Friday, March 26, 2010

4. the web has Changed Friday, March 26, 2010

5. Friday, March 26, 2010

6. Friday, March 26, 2010

7. from Whence? Friday, March 26, 2010

8. part I fundamental Concepts Friday, March 26, 2010

9. Aﬀordance The quality of an object allowing an action–relationship with an actor. Friday, March 26, 2010

10. a tour of Aﬀordability Friday, March 26, 2010

11. What does this thing do? Friday, March 26, 2010

12. What does this thing do? Friday, March 26, 2010

13. What does this thing do? Friday, March 26, 2010

14. What does this thing do? Friday, March 26, 2010

15. No, seriously: What does this thing f***ing do?! Friday, March 26, 2010

16. Signiﬁer A discrete unit of meaning, including words, images, gestures, scents, tastes, textures, sounds. Friday, March 26, 2010

17. “ e are all detectives, searching for clues to enable us to function in this complex world. Whether it is ags waving in the wind, the diﬀerence between empty or crowded train platforms, or the desire lines illustrated by footprints in the elds that suggest paths to follow, we search for signi cant signs in the world that oﬀer guidance. ” Friday, March 26, 2010

18. Friday, March 26, 2010

19. Friday, March 26, 2010

20. Friday, March 26, 2010

21. The Design of Everyday Things Don Norman Friday, March 26, 2010

22. a part bit of Industrial II Design Friday, March 26, 2010

23. you’re such a Tool Friday, March 26, 2010

24. Aﬀordances & Constraints Friday, March 26, 2010

25. Friday, March 26, 2010

26. Friday, March 26, 2010

27. Friday, March 26, 2010

28. Simplify Friday, March 26, 2010

29. Friday, March 26, 2010

30. Conceptual Models Friday, March 26, 2010

31. System Model Mental Model Interface Model Friday, March 26, 2010

32. Friday, March 26, 2010

33. Friday, March 26, 2010

34. Friday, March 26, 2010

35. Friday, March 26, 2010

36. the Good Friday, March 26, 2010

37. Friday, March 26, 2010

38. Friday, March 26, 2010

39. the Frustrating Friday, March 26, 2010

40. Friday, March 26, 2010

41. Friday, March 26, 2010

42. part applied to III Websites Friday, March 26, 2010

43. Conceptual Models Friday, March 26, 2010

44. System Model Mental Model Interface Model Friday, March 26, 2010

45. microscopic & Macroscopic Friday, March 26, 2010

46. application Elements Friday, March 26, 2010

47. I’m a Button, believe you me Friday, March 26, 2010

48. I’m a Button, believe you me Friday, March 26, 2010

49. I’m a Button, believe you me Friday, March 26, 2010

50. I’m a Button, believe you me Friday, March 26, 2010

51. I’m a Button, believe you me Friday, March 26, 2010

52. Don’t Make Me Think Steve Krug Aﬀordances Friday, March 26, 2010

53. application Layout Friday, March 26, 2010

54. panel–selector list list description Friday, March 26, 2010

55. panel–selector Friday, March 26, 2010

56. canvas + palette Friday, March 26, 2010

57. canvas + palette Friday, March 26, 2010

58. one-window drilldown Friday, March 26, 2010

59. Designing Interfaces Jennifer Tidwell Aﬀordances Friday, March 26, 2010

60. application Context Friday, March 26, 2010

61. Aﬀordances Friday, March 26, 2010

62. Friday, March 26, 2010

63. “ hould actions be buttons or links? It depends on the action. Should a calendar view be in list-form or grid-form? It depends where it’s being shown and how long the time period is. Does every global navigation link need to be on every page? Do you need a global search bar everywhere? Do you need the same exact footer on each page? e answer: “It depends.” –Getting Real, 37signals Friday, March 26, 2010

64. 3 things Friday, March 26, 2010

65. Patterns Standards Metaphor Friday, March 26, 2010

66. Aﬀordances Friday, March 26, 2010

67. http:// ui-patterns.com http:// developer.yahoo.com /ypatterns/ Aﬀordances Friday, March 26, 2010

68. Designing Web Interfaces Bill Scott & Theresa Neil Aﬀordances Friday, March 26, 2010

69. Patterns Standards Metaphor Friday, March 26, 2010

70. 1024 768 Friday, March 26, 2010

71. header content footer Friday, March 26, 2010

72. Friday, March 26, 2010

73. Friday, March 26, 2010

74. Patterns Standards Metaphor Friday, March 26, 2010

75. Aﬀordances Friday, March 26, 2010

76. Aﬀordances Friday, March 26, 2010

77. part don’t try too IV Hard Friday, March 26, 2010

78. Overdesign Friday, March 26, 2010

79. independent of visceral response, this Requires cognition Friday, March 26, 2010

80. Friday, March 26, 2010

81. Friday, March 26, 2010

82. Friday, March 26, 2010

83. Friday, March 26, 2010

84. Friday, March 26, 2010

85. the uncanny Valley Friday, March 26, 2010

86. Friday, March 26, 2010

87. Aﬀordances Friday, March 26, 2010

88. “ n 1978, the Japanese roboticist Masahiro Mori noticed something interesting: e more humanlike his robots became, the more people were attracted to them, but only up to a point. If an android become too realistic and lifelike, suddenly people were repelled and disgusted.” –Clive ompson Friday, March 26, 2010

89. lifelike = lifeless Friday, March 26, 2010

90. Friday, March 26, 2010

91. Friday, March 26, 2010

92. Friday, March 26, 2010

93. Friday, March 26, 2010

94. Conclusion Friday, March 26, 2010

95. identify possibilities Friday, March 26, 2010

96. learn from the World Friday, March 26, 2010

97. speak clearly & in context Friday, March 26, 2010

98. don’t overdo it Friday, March 26, 2010

99. http://uxbooth.com Friday, March 26, 2010

100. Fin @andrewmaier andrew@uxbooth.com Friday, March 26, 2010

101. References WEBSITES BOOKS •http://www.usabilitypost.com/ • The Design of Everyday Things •http://www.37signals.com/ • Designing Interfaces •http://www.codinghorror.com/ • Designing Web Interfaces •http://www.slate.com • Bringing Design to Software •http://wikipedia.org • Don’t Make Me Think •http://jnd.org •http://www.jnd.org/dn.mss/ signifiers_not_affordances.html WHITE PAPERS •http://www.akomarov.com • Affordances Explained, May 2003 •http://smashingmagazine.com • http://hci.stanford.edu/bds/2-liddle.html •http://uiscraps.tumblr.com/ Friday, March 26, 2010

Affordances in Modern Web Design

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