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Today, technology is everywhere and shapes the way we experience our lives, the world and each other. However, what remains o;en underes<mated is our agency and responsibility in the way we shape technologies too Designers of new technologies have an important responsibility in this respect, as they have become very powerful in determining (either consciously or unconsciously) the future uses and impact of the latest digital opportuni<es. Related to the responsibility of designers, the domain of Human-‐Computer Interac<on (HCI) has known a shi; in focus from researching what is technically feasible towards a thorough considera<on of what is desirable.
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THREE MAJOR INTELLECTUAL VIRTUES , also referred to as three genera<ons or waves of HCI research These waves have never replaced one another, they tend to co-‐exist or some<mes even overlap, but the rhetoric will help to describe how HCI has known a shi; from researching what is technically feasible towards a thorough considera<on of what is desirable First wave: ra<onal theories provided the body of predic<ve and prescrip<ve knowledge to inform the design of technologies that would account for people’s cogni<ve shortcomings when performing func<onal tasks with computers. These perspec<ves were mainly based on the no<on that there is a dominant interpreta<on for an interac<ve system, typically the one explicitly advocated by its designer. End user = Human factor Second wave: technological evolu<ons have opened opportuni<es for a wide variety of uses that gradually had less to do with computa<on and individual produc<vity and more to issues of communica<on and collabora<on. It was acknowledged that “computa<on is part of a richer fabric of rela<onships between people, ins<tu<ons, and prac<ces” End user = human actor. Social sciences research provided descrip<ve accounts of the situated ac<on i.e. The people’s everyday prac<ces in which the dynamic interac<ons with technologies unfold. Third wave: 1) more focused on the experien<al and value-‐led aspects of technology use, extending the previously
mainstream pragma<c concerns. For instance, it is increasingly being ques<oned how technology can play a role in pursuing healthier, more meaningful and more enjoyable lifestyles.
2) Moreover, the complexity of today’s technologies means that designers can never an<cipate all future uses and hence, users are given a more prominent role in shaping the technological environments in response to emerging needs. Contemporary HCI research is therefore no longer concerned with developing systems that convey a single, specific meaning. Contrarily, the advent of a third wave in HCI research emerged from the premise that several interpreta<ons of a system may co-‐exist, that the users can define their own meaning for them, and that these interpreta<ons can shi; through use or vary among different people or in different usage contexts. i.e. interpre9vely flexibility – i.e. the variety of interpreta<ons of a system besides the one intended by its designers
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In what follows, we will exemplify what value-‐sensi<ve design may imply when designing for privacy.
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Privacy – calculus model = all related to these privacy dilemma’s RISK: Protec<on of privacy -‐ avoidance of risks RETURN: Benefits derived from sharing personal data
The privacy calculus model helps us to understand the trade-‐offs that users make when deciding upon the use of personal data, and more par<cularly to understand how people compare the advantages of disclosing personal informa<on, like improved well-‐being, with the observed risks, like misuses of the personal informa<on. But, not everybody is the same in adhering to the no<on of privacy and how they make the trade-‐off between perceived risks and benefits
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The privacy concerns people have, are not necessarily about the informa<on itself, but rather about what others can do with it and whether we can control who has access to what informa<on !
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We see that there are various audiences that we have to account for. The challenges involved become especially prevalent in considering todays trend of Quan<fied Self applica<ons Fitbit Jawbone, Bodymedia, Omron, Nike+, Moves, etc.— we may not forget to consider the self as an important audience too. Digital possessions of personal data become primarily important for personal monitoring, detec<on and reflec<on. This goes with several challenges in managing the content, e.g. for self-‐representa<on (what you want to share to others at this moment?), as an archive and exhibi<on (reconsidering past data, forming a long-‐term iden<ty which may be exposed to others), or as content that has to remain totally private, and that is only related to the self as an audience. Note that these privacy zones will gra<fy the needs of different personal values such as reminiscing and reflec<ng as opposed to public values such as self-‐representa<on = referring to tensions within the end-‐users (at an individual level) However tensions may also exist BETWEEN stakeholders, e.g. between what people find important versus what the designers or social media plalorm owners find important!
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Privacy can also be considered as an economic good, e.g. sold to adver<sers who can then show more targeted via your social media plalorm Technologies can leverage or remediate value conflicts Note that there is a complex interplay between values, see example on the slide how privacy concerns relate to aspects of trust
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Why we: cf. not only the designers, cf. interpreta<vely flexibility à meanings of technology use may change over <me . Designers cannot an<cipate all possible uses in advance, it has become more common that they provide a ‘toolbox’ which will be filled through the ac<vi<es of various connected people (cf. blogs, social media, web 2.0 applica<ons)
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Note however, that this is only a very brief summary of the value-‐sensi<ve design approach, it involves more research steps and itera<ons
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Why par<cipatory and more crea<ve techniques? For moral reasons The empowerment of the user is likely to destabilize exis<ng power structures, giving voice to people who are typically not consulted in research prac<ces (e.g. people with specific health or emo<onal needs For prac9cal reasons because the type of tacit knowledge studied is o;en hard to verbalize These par<cipatory design prac<ces establish ways to bring the more unconscious aspects of our lives to conscious awareness, and hence available for conscious decision making. The stakeholders are considered as an essen<al source of meaningful and fundamental informa<on for design
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