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Adapting work to special needs

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Title: Adapting work to special needs


1
Adapting work to special needs
  • Towards a usable and user friendly base system
    for describing and explaining task design
  • A copy of this presentation, together with two
    appendices, will appear at our website
    http//www.sikte.no

Tormod Jaksholt Adviser/psychologist NAV
SIKTE Norway e-mailtormod.jaksholt_at_nav.no
2
A common problem
  • Extending, developing and using knowledge, i.e.
    pure and applied science, most often is
    interdisciplinary, both in the natural and social
    sciences.
  • Whether we as stakeholders want to investigate
    an existing system or design a system that shall
    satisfy a set of requirements, we regularly find
    ourselves in a situation much like this

3
(No Transcript)
4
Rehabilitation is no exception
  • We, as potential or actual stakeholders, have
    all access to
  • a rapidly growing number of specialists with
    their specialist systems for description and
    explanation,
  • all with highly developed classification systems
    and highly developed technical terms,
  • advanced tools for collecting and analysing data
    and interpreting the results and
  • a host of ISO, CEN and other standards (See
    Appendix 1)

5
  • To unify this Babel, we need a common standard
    base system for description and explanation, i.e.
    making sense
  • We might call the system Common Sense.

6
Requirements that the system ought to satisfy
Back to slide 21
  • Universal could be used to describe and explain
    anything.
  • Minimal as to base (primitive) types, base
    operations and presuppositions (axioms).
  • Descriptions and explanations should be precise
    enough to be both human and machine readable.
  • Indefinitely extendable to any specialist
    system.
  • User friendly applications could be tailored to
    fit any user need and capability.

7
Such a base system exists!
  • Minimal Just one 1 base sort, just one 1
    base operation and two 2 transparently
    obvious axioms!
  • Precise and both human and machine readable
  • Indefinitely extendable into any specialist
    system (read application)
  • Any application might be tailored to fit any user
    need and capability

8
It is called Category Theory
  • ... but ought to be called logic as it might be
    understood as a modern development of logic, both
    very general and very abstract.
  • Category theory (CT) has the forbidding looks of
    advanced mathematics. The basics of CT, however,
    is absolutely not! Even if CT is very general and
    very abstract, the basics is very simple and
    ought to be easy to understand.
  • In Appendix 2 the incurably curious can find some
    details and links for further studies.

9
As our illustrating example is adapting work to
special needs
  • .. let me try to sketch how concepts such as
    'activity', 'task', 'work', 'mastery' and 'task
    design' could be defined using the proposed
    conception of common sense.

10
  • Here we only need to consider the basic
    term/concept a process, f, in a system, S,
    written either as an arrow
  • f A???B
  • or as a triple
  • ltresult procedure sufficient resourcegt
  • Starting the system S in state A, you obtain the
    result state B by doing f and using the necessary
    resources available in S that, together, is
    sufficient.

11
Activity
  • Definition (normative)
  • A process, f, in a system S is an activity, if
    and only if (iff), at least one person P, being
    part of the system, does something trying to
    obtain a result.
  • P participates might then be normatively
    defined as P does something trying to obtain a
    result.
  • P tries to obtain a result iff P wants to
    obtain the result and believes that he/she can.
  • P's trying is essential. If P does not try
    to obtain a result that all the same occurs, the
    process does not qualify as an activity.

12
Activity (ctd.)?
  • When a participant P regularly succeeds
    performing the activity f, we might use the
    expression can as in the specimen context P
    can perform the activity f.
  • We must presuppose that P can do f iff Ps
    ability to do f is greater than f's difficulty,
    (Smedslund, 1997 21).
  • We might also presuppose that P wants to
    maximise expected utility and minimise exertion,
    (ibid. 24-25).

13
Task
  • Definition (normative)
  • An activity f is a task iff f is imposed or
    agreed upon, self-imposed activities included,
    (Little et al., 1973).
  • The imposition is derived from the web of
    rights and duties that P is involved in as a
    citizen, and where Ps life projects encounter
    those of other citizens.
  • One might use the expression have to in a
    context like P has to do f to indicate that f
    is a task.

14
Work
  • Definition (normative)
  • A task f is work iff the imposition is based on
    a (job) contract.
  • The contract can be everything from a very
    informal agreement to firmly founded on laws,
    regulations and the recently negotiated wage
    agreement.

15
The job contract
  • A job contract specifies, in sufficient detail,
    the negotiated rights and duties of the
    stakeholders.
  • Normally, the wage agreement might be in focus.
    For persons with special needs, however,
    effectiveness and efficiency of task performance
    might be the issues of importance.
  • The negotiations needed to reach an agreement
    might take both energy and time. And,
    renegotiations should always be expected!

16
And the (potential) stakeholders are
  • the employee
  • the employer
  • the public services involved, (in Norway NAV,
    the Health services, )
  • other institutions involved, directly or
    indirectly (trade union, special interest
    organisation, employers organisation, task
    design expert, )?
  • the end user of the product, the service, the
    system,
  • other citizens involved, directly or indirectly

17
Using the definition ...
  • ... we specify in sufficient detail
  • a result
  • a procedure
  • a sufficient resource
  • for each work task that is part of the job as
    described in the job contract.

18
Result
  • A result might be specified in many ways.
  • The proposal here is to implement the
    process-in-a-system-approach as sketched in
    Appendix 2.

19
  • A result, then, is always specifiable as
  • a product (a 0-process in a 0-system), or
  • a (1-)process in a (1-)system producing (or
    modifying) a product, or
  • a 2-process in a 2-system producing (or
    modifying) a 1-process in a 1-system, or
  • a 3-process in a 3-system producing (or
    modifying) a 2-process in a 2-system, or
  • ...

20
These definitions might not be very illuminating,
but there is a suggestive pattern here that might
be easier to grasp if we use diagrams
(Leinster, 2003 iv)?
21
Procedure
  • We need a basic concept procedure that
    satisfies the exacting requirements presented on
    slide 6. One obvious proposal is the intuitive
    notion of effective procedure or algorithm,
    together with an acceptance of the so-called
    Church-Turing thesis.
  • Accepting that, the concept algorithm can be
    formally represented in sundry equivalent ways,
    most of them hopelessly technical. Using normal
    language, the conditional form if else ,
    borrowed from the McCarthy formalism, (McCarthy,
    1960), is helpful, presupposing, all the same,
    the equivalent fully formal definitions.

22
Sufficient resource
  • A sufficient resource is, by definition,
    equivalent to all necessary resources, i.e.
  • all necessary personal resources for the
    participant(s)
  • all necessary environmental resources , i.e.
  • all necessary physical environmental resources
  • all necessary social environmental resources

23
Task design
24
... is a task, too.
  • Using our definition to describe task design, we
    shall specify ...
  • a result
  • a procedure
  • a sufficient resource
  • that satisfy the requirements for result
    properties, effectiveness, efficiency and the
    other requirements, agreed upon by the
    stakeholders.

25
The result of task design
  • is a task satisfying
  • requirements that the result should satisfy
  • requirement for effectiveness, (e.g. specified as
    (i) a probability for obtaining the required
    result X and (ii) probabilities for avoiding
    other results Y, Z, )
  • requirement for efficiency, (e.g. specified as a
    value of result obtained - (value of resources
    used up in producing planned result and
    non-planned results not avoided) (value of
    making up for non-planned results not avoided))
  • other requirements, i.e. given by laws,
    regulations, job contract and wage agreement
  • agreed upon by the stakeholders.

26
The task design procedure
  • using McCarthys conditional form If else
    , the and then connective and both the
    descriptive and the imperative modes
  • 1. Negotiate (hiding most of it, except) If the
    stakeholders (still) agree on the (re-)negotiated
    requirements of result, effectiveness, efficiency
    and the other requirements, do 2./3., else
    conclude that no good solution is possible and
    then, stop.
  • 2. Plan and realise new/modified procedure If
    the task is new, plan and realise a procedure,
    and then, try, else plan and realise a modified
    procedure based on information gleaned by
    previous trials and then, try.
  • 3. Plan and realise new/modified resources If
    the task is new, plan and realise the resources
    and then, try, else plan and realise change of
    resources based on information gleaned from
    previous trials, and then, try.
  • 4. Try Try new/modified procedure and
    new/modified reources and then, assess.
  • 5. Assess If the requirements for
    effectiveness, efficiency and the other
    requirements are all satisfied, conclude with
    success and then, stop, else, if repeated
    applications of 2./3.-4. do not reduce the
    mismatch between required and obtained results,
    go to 1 to renegotiate, else do 2./3..
  • As this is too difficult to read,
  • we magnify.

27
The task design procedure 1
  • 1. Negotiate (hiding most of it, except)
  • If the stakeholders (still) agree on the (re-)
    negotiated requirements of result, effectiveness,
    efficiency and the other requirements, do 2./3.,
    else conclude that no good solution is possible
    and then, stop.

28
The task design procedure 2
  • 2. Plan and realise new/modified procedure
  • If the task is new, plan and realise a procedure
    and then, try, else plan and realise a modified
    procedure based on information gleaned by
    previous trials and then, try.

29
The task design procedure 3
  • 3. Plan and realise new/modified resources
  • If the task is new, plan and realise the
    resources and then, try, else plan and realise
    changes of resources based on information gleaned
    from previous trials, and then, try.

30
The task design procedure 4
  • 4. Try
  • Try new/modified procedure and new/modified
    resources and then, assess.

31
The task design procedure 5
  • 5. Assess
  • If the requirements for effectiveness,
    efficiency and the other requirements are all
    satisfied, conclude with success and then, stop,
    else, if repeated applications of 2./3.-4. do not
    reduce the mismatch between required and obtained
    results, go to 1 to renegotiate, else do 2./3..

32
The sufficient resource
  • , i.e. a specification of all necessary
    resources that the task design process requires,
  • Personal resources (incompletely specified in
    ICF)?
  • Environmental resources ICF
  • using the classifications of ICF (WHO, 2001).

33
All necessary personal resources
  • Factual knowledge
  • Procedural knowledge
  • Emotionality
  • Body functionsICF
  • Body structuresICF

34
All necessary environmental resources ICF
  • Products and technologyICF
  • Physical environmentICF
  • Relations and supportICF
  • AttitudesICF
  • Services, systems and policiesICF

35
  • Satisfied?

36
  • In the present context satisfaction does not
    refer to emotions but to a result that the task
    designed satisfies the requirements agreed upon.
  • That might, of course, cause good feelings
    amongst the stakeholders.

37
  • If the stakeholders conclude that no solution is
    possible for the time being, that might produce
    frustration, even sadness.
  • However, it might also bring peace of mind based
    on the high quality knowledge about the whats,
    hows and whys of the negative result.
  • Too often one or more of the stakeholders resign
    and quit as stakeholder before an agreement about
    the whats, hows and the whys of the negative
    result is reached.

38
  • Most of us have experienced or at least observed
    instances of very ineffective and inefficient
    task design processes, that all the same,
    resulted in tasks satisfying very strict
    requirements.
  • The obvious idea is to apply task design to task
    design, with the express goal of satisfying
    requirements that are just as exacting as those
    satisfied by the (1st order) task designed. But
    why stop at that level? This directly leads to
    the notion of higher order task design for
    arbitrarily high orders
  • (To be continued )

39
Thank you for your kind attention!
A copy of this presentation, together with two
appendices, can be found at our website
http//www.sikte.no
40
Appendix 1
  • On ISO and CEN standards in ergonomics, i.e. task
    design.

41
Standards for Task Design
Back to page 4
  • Quoting from FEES website on standards for
    ergonomics
  • In designing of production systems, economic
    and social goals can be combined, if ergonomics
    is integrated into the design process. More than
    50 years of ergonomics research and practice have
    resulted in a large number of ergonomics
    standards for designing physical and
    organizational work environments. Here, you find
    the 174 international ISO and European CEN
    standards related to this field.

42
Back to page 4
  • If we look more closely at the ISO and CEN
    standards, we find an impressive collection of
    standards, principles and guidelines.
  • There is nothing wrong with this multitude of
    standards for the specialists, they truly
    represent important results of (m)ore than 50
    years of ergonomics research and practice.
  • However basic terms, as system, process,
    activity, task and work for general common
    use seem to be taken for granted and left
    undefined.

43
Back to page 4
  • Explanation also presupposes knowledge about what
    follows from what. Many potential stakeholders
    might have huge volumes of relevant data, but in
    different knowledge representation systems.
  • Based on ISOs Common Logic standard, one can
    apply a suitable standard knowledge interchange
    system, enabling communication between
    organisations with different internal knowledge
    representation systems.

44
Back to page 4
  • That, however, does not help much in unaided
    person to person knowledge interchange between
    persons belonging to organisations with different
    knowledge representation systems (read
    cultures).
  • We also need a Common base system for making
    Sense that can be used by all and everyone,
    layman as well as specialist. Appendix 2 offers a
    proposal for a standard definition of Common
    Sense.

45
Appendix 2
  • What Common Sense ought to be

46
Proposal 1
Back to page 8
  • Common Sense Logic

47
Logic has a long history,
Back to page 8
  • in European philosophy at least from the times
    of Aristotle. Today philosophers are more
    interested in logic than ever. However, today
    logic is a proper part of pure and applied
    mathematics.
  • One might divide logic into three parts proof
    theory (or syntax), recursion theory and model
    theory (or semantics). Traditionally one
    specifies the syntax part by specifying (a) a
    formal language, (b) a proof system and (c) a set
    of axioms. The theorems, then, are freely
    generated from the axioms. The structure might be
    called a deductive system.
  • The formulas of a deductive system, i.e. the
    axioms and the theorems, are but meaningless
    strings of signs, and the proofs are lists (or
    trees) of strings of signs. To become meaningful,
    the formulas must be interpreted. Models, i.e.
    interpretation systems that make the axioms and,
    hence, the theorems true, provide the semantics.

48
Back to page 8
  • Recursion theory provides for the notion of
    effective procedure, telling us that in a
    certain, very specific sense, computer science is
    applied logic.
  • Even if the technicalities of mathematical logic
    might seem forbidding to the non-specialist, it
    is an uncontroversial fact that as for now there
    exists well established standards for formal
    language precision, proof correctness based on
    proof theory, formal language semantics and
    effective procedure.
  • Based on this, we can produce usable and very
    user friendly applications, e.g. software for
    proof generation, proof testing and knowledge
    management.
  • The incurably curios reader might enjoy S.I.
    Adyans nice article Mathematical logic in
    Springers Online Encyclopaedia of Mathematics

49
ISO and Logic
Back to page 8
  • Logic is taken very seriously by the ISO. The
    ISO Common Logic (CL) effort started 2003 and the
    ISO CL standard (ISO/IEC IS 247072007) was
    published October 1, 2007. One might note that
    ISO places proof theory outside the scope of the
    CL standard, but that probably reflects that as
    of today, proof theory is considered standard.
  • For some details on CL, motivations and
    applications, dig into the next two links A talk
    by John Sowa at the Santa Fe ISO meetings
    concerning the CL standardization effort, and a
    presentation by Harry Delugach to ISO/IEC JTC1
    SC32 Open Forum, Berlin, Germany, April 2005.
  • ISOs CL is a very important and basic standard
    in the world of ICT. However, even if ISOs CL
    provides a common base for ICT-based knowledge
    interchange systems, probably a necessary
    condition for effective and efficient task design
    that involves ICT, CL seems not to provide too
    much guidance in the efforts of reaching an
    agreement on basic common terminology/concepts
    and classifications to use in describing and
    explaining task design.
  • Today an alternative base system exists, both
    more general and more abstract than classical
    logic. It is called category theory (CT). It
    might seem almost like a miracle that the most
    elementary basics of CT could provide such
    guidance. But it can!

50
Proposal 2
Back to page 8
  • Logic Category theory

51
Back to page 8
  • Categories are built using just one base
    sort, typographically represented by an arrow
    fA ???B, and just one (partial) operation, arrow
    composition. Identity arrows IdAA??A might be
    written just A and called objects. A category, C,
    then, is a collection (maybe better a build) of
    arrows satisfying the following two requirements
    (axioms)
  • 1. For every fA ???B in C, identity is both a
    left and a right unit for composition
  • The diagram might be represented by an equation,
    viz. IdAfff IdB .
  • 2. For every (composable) f, g, h, in C, arrow
    composition is associative,
  • or in equational shorthand, (fg)hfghf(gh).?

52
So, once again What is Common Sense?
Back to page 8
  • Categories have all kinds of models. One
    kind of model that might look silly to
    mathematicians is systems of processes where
    any system of processes are built with processes
    fA ???B, gB ??, hC ???D, . Identity
    processes IdxX???X, , can conveniently be
    dubbed states, as IdX is the process of keeping
    X as it is by doing nothing. We also require that
    the system satisfies the requirements (1.)
    IdAfff IdB and (2.) (fg)hf(gh).
  • If we drop the requirements (1.) and (2.) from
    the previous foil, but keep process composition
    and the requirement that every identity process
    can be identifieid with a state, a system of
    processes becomes just a deductive system
    provided that the objects/states A, B, C, are
    identified with formulas and the arrows/processes
    f, g, h, with proofs! The incurably curious might
    J. Lambeks article Categorical logic in
    Springers Online Encyclopaedia of Mathematics.
  • Categories were introduced by Samuel Eilenberg
    and Saunders Mac Lane in their (1945) paper.
    Instead of trying the impossible, to explain
    category theory in a few slides, the reader is
    referred to Jean-Pierre Marquis marvellous
    article Category Theory in Stanford Encyclopaedia
    of Philosophy. The article has a very useful
    bibliography spanning from very accessible
    introductory texts to standard textbooks and
    research papers. (Bookmark the article and the
    site immediately!)?
  • One particular introductory book on category
    theoretical logic deserves mention (Goldblatt,
    1979), as it starts with elements and proceeds to
    an advanced level in a highly pedagogical way and
    is freely available for online viewing here.

53
Back to page 8
  • It should not surprise that a category is but a
    first step of an infinite ladder of increasingly
    complex structures and semantics. The reader is
    challenged to give this article by John
    Baez,(Baez, 1997) a serious try as it gives a
    quite understandable introduction to higher
    category theory. Even if higher category theory
    is still not fully developed, it provides a
    powerful language, a mighty conceptual system and
    a tower of axioms (often called coherence rules)
    that are accepted as standard in mathematics and
    a diverse and rapidly growing spectrum of
    applications.
  • So, if we extend the meaning of category to
    n-category for all n0, 1, 2, , n, ,?, you
    are invited to accept as standard the following
    definition
  • Common Sense Category theory.
  • reached by combining the two definitions
  • Common Sense Logic
  • and
  • Logic Category theory,
  • and hiding Logic.

54
Back to page 8
  • Using the expression fA??B to represent a
    process in a system might sometimes be awkward
    when we use (informal) normal language. We might
    translate fA ???B into the expression
  • ltresult procedure sufficient resourcegt
  • where B is the result of starting the system in
    state A and doing f, i.e. following the procedure
    referred to by procedure and using the
    necessary resources that together provide the
    sufficient resource.
  • Any system of processes might be further analysed
    into sub-systems, i.e. system of agents
    performing actions. Each agent is a system of
    processes that might be further analysed into
    systems , until we reach agents that are
    reasonably atomic , i.e. systems of processes
    that in the particular context do not give us
    better understanding by being further analysed
    into sub-systems.
  • Persons, of course, are all agents as are all
    institutions.

55
Back to page 8
  • Actions are what agents do, viz. input actions,
    internal actions (that might be hidden) and
    output actions. Some of the actions might not be
    goal-directed. Agents might change, e.g. split,
    merge, disappear or, more importantly, change in
    behaviour, perhaps from some kind of learning. An
    important key-word when analysing systems of
    active agents is concurrency. The incurably
    curious reader might look here (Wikipedia) or
    here (Virtual Library).
  • How, then, do we represent the atomic agent and
    its actions? One of sundry equivalent answers is
    a Turing machine or general recursion. The
    incurably curious reader might begin to dig here.
    In the practical everyday life, McCarthys
    conditional form if else is very useful.
    The full McCarthy formalism might not be
    presupposed, but rather the notion of algorithm
    together with an acceptance of the Church-Turing
    thesis.
  • The preceding slides should provide more than
    sufficient support for accepting the concept
    process in a system as basic in our effort to
    propose a normative definition of work.

56
References
  • Baez, J., 1997, An Introduction to n-Categories,
    preprint at http//arxiv.org/PS_cache/q-alg/pdf/97
    05/9705009v1.pdf
  • Eilenberg, S. and Mac Lane, S., 1945, General
    theory of natural equivalences, in Transactions
    of the American Mathematical Society, 58,
    231-294.
  • Goldblatt, R., 1979, Topoi The Categorical
    Analysis of Logic, Elsvier, Amsterdam
  • Leinster, T., Higher Operads, Higher Categories,
    London Mathematical Society Lecture Notes Series,
    Cambridge University Press, ISBN 0-521-53215-9.
  • Little et al., Shorter Oxford English Dictionary,
    Oxford at the Clarendon Press, 1973.
  • McCarthy, J., 1960, Recursive Functions of
    Symbolic Expressions and Their Computation by
    Machine, Part I, Communications of the ACM, 3,
    184-195 (April 1960).
  • Smedslund, J., 1997, The Structure of
    Psychological Common Sense, Lawrence Erlbaum
    Associates, Publishers, N.Y. USA, p. 69-72.
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