Abstract
The present study examines the conversational turn-taking patterns in autist-neurotypical talk. The objective of the study is to find out the distinctive features of autist-normal conversations. This study is cross-sectional, descriptive and qualitative in its nature. Recordings are done in an autism center in Lahore for a period of ten days. It is mainly a qualitative study in its nature. Five autistic children of different ages are selected from an autism center in Lahore. The data for the study is collected through video recording of the conversations between autists and speech therapists. The sample is selected through convenient sampling and analysis is done by following the methods of conversation analysis. The results of the analysis highlight certain distinct features of autist child-therapist talk which are not observed in the normal ordinary conversation. However, there is not a total violation of the conversation rules on the part of autists. Moreover, the findings of the research show that conversational patterns in autist-normal conversation are also affected by the chronological age of the autists. Finally, the research concludes that conversation analysis can be used as a tool for the identification of autism.
Key Words
Autism, Conversation, Conversation Analysis, Diagnosis, Turn, Overlap
Introduction
Humans have an amazing ability to engage themselves in conversations. However, this ability is not entirely instinctive. Rather the human child acquires linguistic knowledge after passing through several pre-determined universal stages of language acquisition. Every stage of language development adds specific information to the child's linguistic competence. At last, there comes a time when this child starts having adult-like linguistic competence. This happens when a child is almost 6 years of age (Scovel, 2008). Nonetheless, all human children aren't lucky to acquire this level of linguistic competence and some children's verbal skill remains limited to the level of words or phrases only. There are quite a number of speech and language disorders, with distinct symptoms and causes, which hinder a child's progress in language acquisition. There are also some disorders that don't fall in the category of speech and language disorders, yet the sufferers of those disorders inter alia do have speech and language problems. Autism is also one such disorder. It is a neurodevelopmental disorder and according to American Psychological Association (APA), its criteria include impairments in social communication and interaction, restricted or repetitive behavior, and unusual sensory sensitivity or interests (APA, 2013). Previous studies have shown that autists dislike interacting with other people and thus, they face many difficulties in maintaining old or generating new social contacts (Kunz, 2009). This disorder starts at the very early stages of life. Delayed linguistic development of the child is one of its symptoms that alarms parents and they approach a psychiatrist to confirm whether their child is suffering from autism or not. There is a controversy regarding the exact level of linguistic competence acquired by these children; however, it is confirmed that these children make face difficulty in understanding the intended meanings (Eales, 1993). This inability to understand intended meanings does impact an autist's performance in conversation. However, this isn't the only difficulty faced by autists during a conversation. Conversation analysis has brought forwarded many hitherto unknown problems faced by autists during conversations. The present study will use methods of conversation analysis to explore the conversational characteristics of autistic talk.
Objectives of the Study
The main objective of the study is to find out the distinctive conversational patterns during asymmetric interaction. The secondary objectives of the study can be enumerated as under
1. To figure out the ways autistic children construct their turns during a conversation.
2. To find out the relative distribution of turns during autist-normal conversations.
3. To ascertain the ways transition of speakers is carried out during autist-normal conversation.
Rationale of the Study
The identification of the problems faced by the Urdu-speaking autistic children in turn-taking can have manifold benefits. Firstly, In spite of Urdu being the fourth largest langue in the world, had not been much examined in CA (Sohail, 2011). So, the present research will fill up some gaps in the literature. Secondly, this study will have pedagogical implications: therapists will be able to know the problems of autistic children in turn-taking which will help them to design their lectures accordingly. Thirdly, it will help to create awareness among the general public pertaining to the problems of the autistic children which will ultimately result in a positive attitude towards these children. Fourthly, it will engender a new ray of hope in autistic children and their parents about the possibility of improvement in the condition of such children.
Research Questions
1. Do autistic children construct their turns like neurotypicals?
2. Is the relative distribution of turns in the autistic child-neurotypical conversation normal?
3. How does the transition of speaker take place in the autistic child-neurotypical conversation?
Literature Review
Conversation Analysis
Conversation Analysis (CA) is a relatively new discipline that studies the ways which help interlocutors to organize social acts through conversation. These social acts may include greetings, requests, commands, compliments, invitations, simple passing of information etc. CA owes this concept of studying the organization of social acts in conversation to sociology. Two sociologists, namely Harold Garfinkel & Goffman Erving, are responsible for initiating this thought of studying social systems from a particular angle: to discover the ways through which social systems are organized. Goffman showed that local micro-practices and rituals are the means through which broader macro social orders are created (1967). Garfinkel stressed the point that individuals produce and reproduce social order through daily interaction. Gafinkel & Goffman based their studies on the analysis of recorded conversations. They were immensely helped by the recording instruments which were being invented during that period.CA as a distinct field of enquiry was established due to the contribution of three other sociologists: Emanuel Schegloff, Harvey Sacks and Gail Jefferson. These sociologists not only followed the approach of Garfinkel and Goffman but, like them, CA practitioners also based their research on the analysis of recorded conversations (Sacks, Schegloff & Jefferson, 1974).
Importance of Conversation Analysis
Today Conversation Analysis methods are being used in multiple disciplines like sociology, psychology, anthropology, linguistics etc. This multidiscipline applicability is due to the fact that CA helps to study conversations by keeping in consideration a 'variety of types of context including myriad orders of interactional organization' i.e. sequence organization, topic, repair, preference structures, turn-taking etc. (Sidnell & Stivers, 2012).
Turn-Taking
The turn-taking mechanism is one of the basic facts in conversation. Goffman stressed the importance of turn-taking by employing an analogy (Goffman, 1963). He commented that it is a well-known fact that people avoid collision with others during a walk, in the same way interlocutors try to avoid interruption during a talk. He further asserted that if turn-taking rules are not observed and people start talking simultaneously, then it disrupts the flow of talk and results in incomprehensibility. However, this non-adherence to turn-taking convention is very rare and interestingly, it has been found that non-appliance to the rules of turn-taking is more common in abnormal people than in the conversation of mentally normal individuals (Leighton, Stollak & Ferguson,1971). Numerous investigations have proved that normal people generally adhere to the rules of turn-taking in conversation. For instance, Yngve opined that the notion of turn-taking 'is nearly the most obvious aspect of conversation' (1970). Miller also observed that 'turn-taking is language universal' (1963). Schegloff asserted that during a conversation, 'one party at a time is organizational primary' (1965).
Study of Turn-taking in Pakistani Autistic Population
The previous studies carried out on autistic children by following methods of conversation analysis have shown that these children face difficulties in making requests (Frith,1989). A more detailed work carried out by Fine, Bartolucci, Szatmari, & Ginsberg (1994) has shown that these children don’t follow the general principles of conversation.
According to Sacks, Schegloff and Jefferson (1974), there are general principles of turn-taking that are normally observed in the ordinary conversation. These principles help interlocutors to construct their turns, obtain a turn, main a turn, pass on a turn and repair any problems emerging during conversations. Apart from the general principles, there are some variations in these rules of turn-taking across different contexts and cultures (Cook, 1989). The comparative studies of turn-taking patterns in different cultures have brought forth some interesting facts (Stivers et al., 2009). It will be interesting to explore turn-taking patterns in Pakistan, a country with having distinct and rich culture. Pakistan is a multilingual country; however, the Present study is going to explore turn-taking patterns based upon the recorded conversations of Pakistani Urdu-speaking autistic children with their speech therapist.
Urdu is a member of the Indo-Aryan family of languages; it is mostly spoken in India and Pakistan. In Pakistan, it has got the status of national language (Koul, 2008). The grammatical structure of the Urdu language is different from English. This difference is most clearly evident in the difference in word order. English follows SVO (Subject, Verb, Object) word order, while the word order of Urdu language is SOV (Subject, Object, Verb). The difference between structure of Urdu and English is well documented by Sohail (2011). For example, she shows that in English, we will say.
I read a book
Subject Verb Object
In the Urdu language same situation will be expressed by following different word order
mein (I) kitab (a book) Parht? h?n (read)
Subject Object Verb
Urdu and English also have a different structure in some phrases. For instance,
Book of Ali
Noun (head) Preposition Noun
But in Urdu, the same phrase will be written as
Ali (school) ki (of) kitab (book)
Noun Preposition Noun (head)
Pakistan is a multi-cultural and multilingual society; this multiculturalism has an impact on conversational patterns (Cook, 1989). However, the researcher will delimit his study to the analysis of conversations on the basis of general patterns of turn-taking which are discussed by Sacks, Schegloff and Jefferson (1974).
Methods and Materials
The researcher employed a qualitative methodology for carrying out the present study. This decision was taken because it has richness and depth of explorations and descriptions20. Moreover, the researcher intended to employ methods of conversation analysis for the collection and analysis of the data which itself follows a qualitative approach.
Data Collection
The researcher selected five male autistic children for carrying out this study. The selection of the sample was carried out by following convenient sampling. Convenient sampling is a nonrandom probability sampling technique where all the members of the population do not get equal chances of getting selected. But as the researcher didn't have access to a large autism population, so he opted for this sampling technique. An autism center in Lahore was approached and a request was made to provide access to autistic children.
Keeping in view the objectives of study, five autistic children were provided by the center and recordings were made during their conversations with their therapist. While making the selection, it was made sure that each of the autists is verbal and has been under the supervision of the same therapist for at least last one year. There was noticeable variability in the ages of the children (see table 1).
Table 1. Details of Participants
S. No Name Gender Age Length of Recording
Hours Minutes
01 Baber Male 4.09 years 02 49
02 Hamza Male 5.02 years 02 22
03 Ali Male 6.07 years 02 20
04 Qasim Male 7.11 years 02 48
05 Saim Male 15.04 years 02 35
The researcher didn't carry out any diagnostic tests, rather he relied upon the diagnosis of psychiatrists, physicians, as well as the observation of parents and therapists. There were two main reasons for not carrying out any diagnostic tests. Firstly, there were instances of such studies which didn’t take any diagnostic tests and relied upon the reports of the clinicians. Secondly, the researcher believed that the conversational performances of these children would help to validate whether these children are autists or not.
The video recording and observational notes were the tools through which data was collected for the study. This choice of tools was made by keeping in view the overall qualitative design of the study as according to Barret andEvid (2018) a researcher who wishes to carry out a qualitative study should use video recording and observational notes. The preference was given to video recordings over audio recordings because autists do have behavioral issues which can be better captured through video recordings. The researcher himself didn't participate in the conversations rather he was sitting outside the room and observing every child's conversation with the therapist. The collection of the data was carried out between May 25 to June 8, 2018. The approximate duration of recorded conversation was of 2.5 hours for each child.
Data Analysis
The data of this study were obtained by observation, video recording and field notes. All conversations were in the form of questions and answers. There was a total of 16450 lines, out of which 5650 were spoken by the children. Once the data was obtained, it was jotted down verbatim. Next, the important and relevant turns were marked and transcribed by following the method of Jefferson7. The researcher didn't transcribe the whole data. Only that data was transcribed which was thought relevant to the research questions of the study. After transcribing the data, the researcher also had to transliterate the relevant fragments. The need for transliteration was motivated by the structural differences between the two languages. Transliteration was done by following the method invented by R.S. McGregor (McGregor, 1992). After the transliteration, the data was translated into English in order to make it easily understandable for the people who can't understand the Urdu language. The researcher didn't go for the word-to-word translation rather, the employed idiomatic translation which is thought to be more comprehensible than a word-to-word translation (Cuellar, 2011).
As English is the official language of Pakistan (Ahmad, 2011), there were few places where speakers did employ code-switching from Urdu to the English language. The researcher capitalizes those words or clauses to show that those words/clauses were spoken in English.
The researcher used pseudo names of the participants. The use of pseudo names in the conversation transcription was intended to protect the identity of the speakers (Surmiak, 2018).
Results and Discussion
Firstly, It is generally observed that in a
conversation, interlocutors employ various
turn-construction units which can be ‘one word long, or they can be sentential
in length’ (Sacks, Schegloff & Jefferson, 1974). The data showed that some
turns were only one word long. The children were replying with single word
utterances and even where they employed sentences, the sentence was simple.
There is no instance of complex or compound sentences in the whole data. The
possible reasons behind children's use of one word or simple sentences can be
that either they didn't want to talk, or they were suffering from impaired
linguistic knowledge to construct complex and compound sentences.
The following fragment is an example of
one-word or simple sentence utterances employed by the children.
Conversation
# 523
53 |
Therapist |
SIXES lgaty hai?? |
|
|
Can you hit sixes? |
54 |
Qasim |
?a? |
|
|
yes |
55 |
Therapist |
ghr my? khlyty hai? CRICKET? |
|
|
Do you play cricket at home? |
56 |
Qasim |
?a? |
|
|
yes |
57 |
Therapist |
Kis ky sath khlyty hai?? |
|
|
With whom do you play? |
|
|
(0.2) |
|
|
Kis ky sath khlyty hai?? |
|
|
With whom do you play? |
58 |
Qasim |
apny MAMA ky sath. |
|
|
With mama |
Sometimes it is also observed that while
constructing their turns, these children use the same phrases as were present
in turn of the therapist.
Secondly,
the recorded data showed that change of speakers did occur in the
conversations, but the frequency of change was much less than what happens in
normal conversation.
There may
be different reasons for such differences between the turns taken by the
autists and therapists. Firstly, autistic children lack the social skills of
either initiating or sustaining a conversation with others2. That's
why their contribution to the conversation was much less than the therapists.
Secondly, there was a lot of repetition on the part of the therapist. Almost 52
percent of all turns taken by the therapist were either rephrased or repeated
by them. In normal circumstances, repetition is done to clarify something but
here, it was being done to make the autists speak who were either hesitant to
carry on the conversation or were unable to provide an appropriate answer (Ehmke, 2019). The repetitions or
rephrasing
done on the part of the therapist can be classified into three different
categories
Following is an example when the autist
was not replying to a question and the therapist rephrased the same question to
get a reply.
Conversation # 903
03 |
|
?p ky COUNTRY ka nam kia hai? |
|
|
What is the name of your country? (0.2) |
04 |
|
?p ky mulk
ka ky? nam hai? |
|
|
What is the name of your country?
(0.3) |
05 |
|
ky? nam hai mulk ka? |
|
|
What is the name of the country?
(0.3) |
06 |
Ali |
Pakistan |
In the above conversation, Autist Ali was
not replying to the question, so the therapist had to rephrase her question in
order to get a reply. She rephrased her question two times, and in the end, the
autist was able to give a correct reply.
a) Sometimes
therapist repeats the same lines as are spoken by the autist in order to
provide him correct structure to reply, as can be seen in the following
example.
b) On
some other occasions, the therapist repeats the same lines as are spoken by the
autist in order to encourage him to speak more.
In addition to this, an interesting thing
was observed that on their turns, the autists gave very short and brief
replies. In normal circumstances, short sentences reply are preferred to longer
ones. But here, the shorter replies are neither preferred nor dispreferred
because they showed a lack of interest on the part of autistic children and
their desire to quickly bring the conversation to its closure (National autistic society,2019).
Thirdly,
the collected data carried a very nominal percentage of overlap during the
transition of speakers. The important thing was that chronicle age seems to
play a vital role here. The percentage of overlap was much higher in the
younger autists’ conversations with the therapist as compared to older autists'
interactions with the therapist. This lack of overlap shows a lack of
willingness to talk because according to Yong, overlap’ exists in almost 17
percent of the whole conversation(Yong, 2016). The interruptions in the present
data were observed because of two reasons
a. Because
of idiosyncratic vocabulary
Conversation # 01
05 |
Therapist |
CARDS ca?y [?p
kv]? |
|
|
Do you need cards? |
06 |
Baber |
[( )] |
07 |
Therapist |
[Cards ?chy
lagty hai? ?p]? |
|
|
[Do you like cards]? |
08 |
Baber |
[( )] |
Here the autist Baber was uttering a few
words which were uninterpretable for the therapist. The therapist was trying to
get a reply in the Urdu language while the boy kept speaking by using his own
idiosyncratic vocabulary which created an overlap.
b. Because
of repetition of same words
or
phrases on the part of the child.
As can be observed in the following
example, Qasim was giving irrelevant answers and was also repeating those
irrelevant same phrases/sentences, again and again, which resulted in the
overlap and interruption
Conversation # 602
55 |
Qasim |
abv, y? abv hai, [y? abv hai] |
|
|
Father, this is
father, this is father |
56 |
Therapist |
[ach?] |
|
|
ok |
57 |
|
[?p
ky b?y bha’y ka nam ky? hai]? |
|
|
What’s the name of
your elder brother? |
58 |
Qasim |
[y? abv hai, y? abv hai] |
|
|
this is father, this
is father |
The above
example shows that such children give irrelevant information and they keep on
repeating the same phrases (echolalia), creating interruption.
Unlike overlap, the data is abundant with
instances of silence and pause. 79 % of
the turns either carried a gap or silence. These silence and pauses were there
when the question was put to the autists and they didn’t reply.
Conversation #804
06 |
Therapist |
Qasim ?p
ky age ky? hai? |
|
|
Qasim, what is your
age? (0.2) |
07 |
|
?p
ky age ky? hai? |
|
|
What is your age?
(0.3) |
08 |
|
?p
ky ?mr kitny hai? |
|
|
What is your age?
(0.2) |
09 |
|
?p
ka??? r?ity hai?? |
|
|
Where do you live?
(0.3) |
10 |
|
WHERE DO YOU LIVE?
(0.2) |
11 |
|
Jaldy btia’? |
|
|
Answer quickly |
In the above example, it can be seen that the therapist asks a question
from an autist, waits for a reply when no answer comes then repeats the same
question. Then the therapist tries to make the autist speaks by changing the
question but of no use. There are plenty of examples in the whole data where
the question is put to the autist but he doesn't reply and it creates a gap
between the two utterances. The most observed area of difficulty was answering
WH questions because such autists face difficulty in comprehending or replying
to WH questions. Autists even face difficulty in replying to the simple
question 'who are you.'
Lastly, Turn allocation rules are also
important factors in the discussion of speakers' transition. In a normal
ordinary conversation, there are three rules for the allocation of turns.
Sacks, Schegloff & Jefferson (1974) name them as 1a (current speaker
selects the next speaker), Ib (if no speaker has been selected, then any
speaker may self-select) and 1c(if neither the current speaker selects other
nor anyone other self-selects then the current speaker may continue). In the
recorded data, the therapist asks a question and 'selects other' to reply but
the data is also abundant with the use of rule 1c because there were many
instances where an opportunity was given to the listener to hold the floor but
he did take it. Such a huge frequency of employing rule 1c is clearly something
that is not observed in the normal ordinary conversation. Moreover, it also
shows that the children acknowledge the authority of the therapist as a turn
allocator.
Conclusion
The analysis and discussion of the data helped to draw the conclusion that autist-neurotypical talk carries some distinct patterns which are not generally observed in normal ordinary conversations. Following conclusions may be drawn from the study (a) in a conversation involving both autists and neurotypicals, the number of turns taken by typically developing persons is much higher than what is taken by autists (b) autistic children’s attempt to construct turns is limited to the level of single words, phrases or simple sentences only(c) any such conversations are abundant with silences and pauses which ultimately leads to final closure (d) some autists possess idiosyncratic vocabulary (e) autists do seem to keep repeating same lines or phrases. However, these characteristics were not uniform in the whole sample, for the results of the study do show the effect of chronological age on the overall performance of autistics children. This might be due to the reason that autistic children keep on improving their conversational skills with time. As was observed that the instances of interruption were most frequent in the conversations of younger children, gaps and silences were more observed in the children between 5-8 years of age and the use of intonation to signal TRP was evident in the conversation of the oldest child.
The results of the present study clearly show the significance of using methods of conversation analysis in the diagnosis of autism. The importance of conversation analysis in the field of autism may further be highlighted by pointing out the fact that there is no such tool that can very precisely diagnose autism. Especially in Pakistan where we don't have well-developed tools for diagnosing autism, conversation analysis can be a good method to try.
It is recommended that more research studies should be carried out on the same topic so that conversational problems of autistic children may be assessed from different angles. It will ultimately lead towards the overall improvement in the autistic population. Furthermore, it is the need of the hour that experts from other fields, especially those who are working in linguistics, must pay their useful contribution to understanding and deal with autism.
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Cite this article
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APA : Abbas, I., Ahmed, K., & Habib, M. A. (2022). Conversation Analysis: A Methodology for Diagnosing Autism. Global Language Review, VII(II), 1 - 12. https://doi.org/10.31703/glr.2022(VII-II).01
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CHICAGO : Abbas, Irfan, Khalid Ahmed, and Muhammad Asad Habib. 2022. "Conversation Analysis: A Methodology for Diagnosing Autism." Global Language Review, VII (II): 1 - 12 doi: 10.31703/glr.2022(VII-II).01
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HARVARD : ABBAS, I., AHMED, K. & HABIB, M. A. 2022. Conversation Analysis: A Methodology for Diagnosing Autism. Global Language Review, VII, 1 - 12.
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MHRA : Abbas, Irfan, Khalid Ahmed, and Muhammad Asad Habib. 2022. "Conversation Analysis: A Methodology for Diagnosing Autism." Global Language Review, VII: 1 - 12
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MLA : Abbas, Irfan, Khalid Ahmed, and Muhammad Asad Habib. "Conversation Analysis: A Methodology for Diagnosing Autism." Global Language Review, VII.II (2022): 1 - 12 Print.
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OXFORD : Abbas, Irfan, Ahmed, Khalid, and Habib, Muhammad Asad (2022), "Conversation Analysis: A Methodology for Diagnosing Autism", Global Language Review, VII (II), 1 - 12
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TURABIAN : Abbas, Irfan, Khalid Ahmed, and Muhammad Asad Habib. "Conversation Analysis: A Methodology for Diagnosing Autism." Global Language Review VII, no. II (2022): 1 - 12. https://doi.org/10.31703/glr.2022(VII-II).01