Evidence map›Paper›PMID 30826986›Full record

ArticleIntegrative psychological & behavioral science2019

Human-Computer Interaction Problem in Learning: Could the Key Be Hidden Somewhere Between Social Interaction and Development of Tools?

Tolga Yıldız

Abstract read
PubMed Publisher
In one paragraph

Article in Integrative psychological & behavioral science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Parasitic Nature of Social AI: Sharing Minds with the Mindless.Integrative psychological & behavioral science · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Tolga YıldızDepartment of Psychology, Istanbul University, Laleli, 34134, Istanbul, Turkey. tolga.yildiz@istanbul.edu.tr.ORCID 0000-0001-9293-2013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homo sapiens is not just a tool-using species, they also can invent and develop tools. This is the feature that distinguishes humans from other species. It is necessary to get rid of the perceptual dominance of the present state of the material to invent and develop a tool. It is based on a mental process: designing. So how was that possible? In this article, I propose an evolutionary hypothesis in response to this question: the referential triangle. Accordingly, the relationship that people establish with things is mentally indirect, but the relationship they establish with each other is mentally direct. The hypothesis claims that the mental solutions of people have naturally established with each other are also used to invent and develop tools. The latest and most interesting product of this mechanism is artificial intelligence. Because artificial intelligence also acts as an inorganic system. What distinguishes it from other machines in this context is its social behavior. Artificial intelligence can generate social signals. So can artificial intelligence be both a tool and a partner at the same time in the referential triangle established with the tools by the human? In other words, can children, for instance, socially interact with artificial intelligence, just as they do naturally with people around? The article draws attention to that this problem should be included in the cultural psychological research agenda.

Indexed as

Interpersonal RelationsLearningUser-Computer InterfaceAdultArtificial IntelligenceBiological EvolutionChildComputer-Assisted InstructionCultural EvolutionCultureHumansArtificial intelligenceCultural learningHuman-computer interactionHuman evolutionReferential triangleSocial interaction

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.