Conceptualising Search as a Set of Cognitive ... - bcs.org

16
Conceptualising Search as a Set of Cognitive Prostheses Elaine Toms Professor of Information Innovation & Management The University of Sheffield [email protected]

Transcript of Conceptualising Search as a Set of Cognitive ... - bcs.org

Conceptualising Search as a Set of Cognitive ProsthesesElaine Toms

Professor of Information Innovation & Management

The University of Sheffield

[email protected]

Basic assumption of information retrieval?

A User enters a search query, and the System responds with one or more relevant information objects (e.g., snippets, documents)

Presentation to Search Solutions, November 25, 2020

2

The Reality..

The system only knows what the user enters into the search box

The system selectively knows about the user’s environment, albeit in a limited fashion, e.g., previous search queries, documents clicked on, scrolling, personal location,…

The system may know more about the user from 3rd party linked data (e.g., Twitter, Facebook, work-based systems)

But…

Presentation to Search Solutions, November 25, 2020

3

OrientationOverviewEvidence

ExplanationInstructionsDefinition

DistractionTime

ObjectiveMotivation

DomainWorkplace CultureManagerial factorsOrganizational factors

DateFormat

LanguageGenre

AuthenticityTopic

Domain

Environment

Task

Situ

atio

n

User System + Content

Outcome

Interface

KnowledgeExperience MotivationPhysical abilityCognitive abilityLearning styleMental Model

Source: Adapted from Toms (2011). Task-based information searching and retrieval in Ruthven & Kelly (eds.) Interactive Information Seeking, Behaviour and Retrieval, p. 49

The system does not know which of these variables will influence how the user interprets relevance

Scan object

Select object

Examine Results

Query

Stop

Behaviour

Blending Behavioural Actions with Cognitive Functions

Chaining

Comparing

Extracting

Verifying

Evaluating

Constructing

Recognisingcues

Integrating

Scanning

Reading

Cognition

Synthesizing

How do we support cognitive functions?Presentation to Search Solutions, November 25, 2020

5

Source: unpublished manuscript © E. Toms 2020

… with Cognitive ‘Prostheses’!

Definition: An electronic computational device that extends the capability of human cognition or sense perception (https://en.oxforddictionaries.com/definition/us/cognitive_prosthesis)

Something that amplifies human cognition and perception and leverages human intellectual capacities (www.lpi.usra.edu/publications/reports/CB-1089/ford.pdf

fundamentally different from the Turing Test ambition – it doesn't set out to imitate human abilities, but to extend them.

“Shift from making artificial super humans who replace us to making superhumanly intelligent artifacts that can amplify and support our own cognitive abilities.” http://www.lpi.usra.edu/publications/reports/CB-1089/ford.pdf

Not physical prostheses that aid physical actions or brain implants to support/augment cognitive activity

✗http://www.trbimg.com/img-53bdedb6/turbine/la-sci-sn-pentagon-neural-prosthetic-memory-20140709

https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcRJMotwObuTzvxyPZ1JCKCyixX5S7DwEVB1KrYQHS7Powf59nf-

Presentation to Search Solutions, November 25, 2020

6

Cognitive Prostheses for Search?

• Augment human cognitive function, and not just support behavioural actions;

• Assist how one decides among information objects and gains insights from those objects

• Facilitate all information processes and analyses from filtering and comparing to extracting, sensing, and scanning, etc.

A toolbox of cognitive prostheses!

Presentation to Search Solutions, November 25, 2020

7

Behaviour

Scan object

Select object

Examine Results

Query

Stop

Cognitive Prostheses that support Behavioural action

Presentation to Search Solutions, November 25, 2020

8

Query suggestionsSpell checkerBoolean (native or by fill-in form)

Filter by date, format, publisher, etc.

Document format, e.g., headers, paragraph, list

Highlighted query wordsSnippetURLEntity Cards or summaries

Source: unpublished manuscript © E. Toms 2020

Behaviour

Scan object

Select object

Examine Results

Query

Stop

Chaining

Comparing

Extracting

Verifying

Evaluating

Constructing

Recognisingcues

Integrating

Scanning

Reading

Cognition

Synthesizing

Cognitive Prostheses that support Cognitive function?

Presentation to Search Solutions, November 25, 2020

9

What do we provide to facilitate and support these activities?

Source: unpublished manuscript © E. Toms 2020

Task process(Kulthau)

Information collection

Focus formulation

Presentation

Functions(Prefontaine et al)

Existing tools

Connection

Organization

Stimulation

Divergence

SuggestionOrganization

ConnectionCollaboration

Connection

Definition & Explanation

Collaboration

Discrimination

Suggestion

Task Organizers

Bookmarks

Notes

Hyper LinksMenus

Tagging

Auto-complete

Refine SearchRelevance Ranking

Types of Information

(Vakkari)Task initiation

Prefocus exploration

Topic selection

Simplification

Stimulation

Definition & Explanation

Perspectives

Connection

Idea Generation

GeneralBackground/Theoretical Information

Faceted Background Information

Specific Information

Sharing Options

Search History

Recommender Systems

Mouse Overs

Visualization

Simplification

Search Box

Dictionary

Source: Adapted from: Gilbert et al

Sufficient?

Presentation to Search Solutions, November 25, 2020

10

Cognitive Activities used in Information Processing

Interaction Patterns Annotating Assigning Comparing Composing/Decomposing Drilling Filtering Linking / Unlinking Selecting Storing / Retrieving Translating

Tasks/Sub-Tasks Where, i.e., location How to Scope Current status Condition Trend Expertise Stats Compare Relation

Presentation to Search Solutions, November 25, 2020

11

Sedig et al. 2012 Toms et al

Interface

Presentation to Search Solutions, November 25, 2020

12

System

User Classic Hackneyed View

Source: unpublished manuscript © E. Toms 2020

Interface

Presentation to Search Solutions, November 25, 2020

13

System

User & user’s context

Closer to Today’s Reality

Source: unpublished manuscript © E. Toms 2020

Questions/Issues/Directions

Presentation to Search Solutions, November 25, 2020

14 Cognitive functions/activities

Which ones should be facilitated? Is there a common set that is cross domain? Which ones are unique to a

particular domain? [Analogical to the differences across typical office applications]

Possible approaches: Common integrated interface for ‘knowledge work’ – think Microsoft

Office ribbons on steroids A 'dashboard’ that includes Search + eDiscovery + Text Analytics + Data

Analytics – an integrated tool – a swiss-army knife – for information access, retrieval and use

Need new thinking about what IR R&D needs to achieve and also new models and frameworks for how we think about the role of search in real-world tasks

Ultimately, where does/should the Human Stop and the Machine Start?

.

Two ExamplesP4 (Research Scientist) Impacts of tidal energy

extraction in the Minas Passage in the Bay of Fundy.

Sedimentation patterns and fish behavior in the area of a tidal turbine.

Collecting data from the Integrated Science Data Management system (ISDM) and new satellite technology

Historical and new data will be used to validate models

Compare with other areas (e.g., Avon River and the Petticodiac)

P5 (Coastal Zone Advisor) Best practices in coastal

setbacks Started by looking at

coastal setback policies in other areas.

Collect examples and critically evaluating whether or not these policies will apply

Assessing if results in the literature are effective in practice.

Concerned about the source

And who to contactPresentation to Search Solutions, November 25, 2020

15

Take away thoughts

Knowledge work is here to stay, but technological innovation in KM has not kept up with rest of tech development

AI may steam roller the KM world in the same way that Web search proved to be a ‘disruptive technology’ changing forever the way we searched for information, but the onus is on us to direct it

Need for the information behaviour community to step back from the needs and uses studies for greater granularity of what actually occurs within a particular context or information use environment; developers only know what they understand and requirements need specifics

Unlocking the value in information resources may be the next big differentiator for organisations but it does mean organisations have the tools to help them achieve it

Workplace might be anywhere, anyplace, anytime Humans make decisions; technologies make recommendations

Presentation to Search Solutions, November 25, 2020

16