Probing and its Effects on the Validity and Reliability of Verbal Reports

Sally Abolrous
December, 2001

 

Introduction
History of Think-aloud Protocols
Pure Think-aloud Protocols
          Level 1 verbalizations
          Level 2 verbalizations
          Level 3 verbalizations
Limitations of the Pure Think-aloud Method
Think-aloud Methods in Practice
          “Keep Talking”
          Acknowledgement Tokens
          “What are you thinking right now?”
          “John, could you tell us why you pressed the Enter Key?”
          “Is there anything special that you’re looking for?”
          “You seemed surprised/puzzled/frustrated, were you?”
          “Was this task easy?”
          “What features did you like and did not like?”
Conclusions and Recommendations

 


INTRODUCTION


Eliciting verbal reports from participants in usability studies is a commonly used method used to collect performance and preference data. By asking users to “think-aloud,” usability practitioners can observe users interact with an interface and listen to their concurrent thoughts at the same time. Verbal data is helpful because it allows observers to know how users think—what they look for, how they expect to accomplish tasks, and what elements of the interface they find confusing or helpful.

A problem, however, is that think-aloud procedures vary widely among usability practitioners. They vary in terms of the types of instructions given to participants, the amount of interaction between the observers and the participants, and the types of data being collected. Boren suggests that these variances make it difficult to “compare or replicate studies, vouch for the validity of the results, or teach a standard of practice to newcomers to the field” (Boren[1], 266). He, therefore, suggests that the methods employed by practitioners should be “theoretically motivated and systematically applied” (Boren[1], 266).

One widely accepted theory of verbal protocols is that of Ericsson and Simon. Although, verbal protocols have been used since 1989, Ericsson and Simon validated their use in 1980, and defined the standards and the very precise conditions under which verbal protocols can be collected. However, usability practitioners have strayed away from these set conditions and standards. One of the major areas in which practitioners stray is probing participants in order to collect otherwise uncollectible data. However, Ericsson and Simon suggest that the kinds of probing done by practitioners can greatly influence the reliability of the verbal protocols, can increase reactivity, bias the participant or simply get invalid data.

In this paper, I will give a brief introduction to Ericsson and Simon’s theory, then I will examine the different strategies employed by usability engineers in order to collect data. I will also look into the reliability and validity of the verbal data collected under each condition.

HISTORY OF THINK-ALOUD PROTOCOLS (top)

Verbal protocols originally developed in 1889 as part of the cognitive interviewing technique as an attempt to track mental processes. These introspections however were attacked by behaviorists who claimed that this data was not reliable because it could not be replicated. In the 1960s, as the field of cognitive psychology expanded, verbal protocols began to make a comeback. In 1980, Ericsson and Simon published Protocol Analysis: Verbal Reports as Data, in the Psychological Review. In it, they proposed a theory on thinking aloud protocols and provided substantial empirical support for it. Ever since, the think-aloud method has been used to gather data. However, as researchers stray from Ericsson and Simon’s theory, a threat to the validity and reliability of the verbal data is introduced.

 

PURE THINK-ALOUD PROTOCOLS (top)

Ericsson and Simon’s theory is based on the constructs of short-term (STM) and Long-term memory (LTM) as they are described by the information-processing theory. Their method is referred to as a pure think-aloud method, because of its defined standards and strict conditions under which data is collected.

Ericsson and Simon developed a model of verbalizations which includes three levels of decreasingly reliable verbal reports.

1.      Level 1 Verbalizations

These are the most reliable because they are not transformed before being verbalized during a task. Therefore, they are valid representations of the information being attended to in STM. Rhenius and Deffner conducted an eye tracking study to answer whether or not these verbalizations truly reflect concurrent thought. They compared temporal sequences of verbal utterances to sequences of gazes directed at different parts of the task display. They found an impressive overlap between think-aloud data and eye-movement data to support Ericsson and Simon’s theory about the reliability of this type of verbalization.

2.      Level 2 Verbalizations

These are transformed before verbalization; in other words, they involve description or explication of the thought content. However, this explication is the only mediating cognitive process between STM and verbalization. Ericsson and Simon explain that “only the information attended to (i.e. held in STM) should be verbalized, and that the recoding of this information for purposes of vocalization should not otherwise alter the processing involved in the task performance”(84).

3.      Level 3 Verbalizations

These require additional cognitive processing beyond what is required for task performance or verbalization. Subjects actually explain their thought processes or thoughts, and may require interpreting already attended-to information, or retrieving information from LTM. Ericsson and Simon refer to this type of verbalization as the least reliable, and suggest that researchers should try to avoid it.

Ericsson and Simon suggest that in order to achieve level 1 and level 2 verbalizations, researchers should collect and analyze "hard" data only—what the participant attends to and in what order, not participant introspection, inference or opinion. They should also give detailed initial instructions for thinking aloud by telling users to speak as if they are alone in the room. Furthermore, researchers should remind users to think aloud using short, nondirective reminders such as “keep talking”; otherwise, avoid any other interaction with participants, including comments and questions.

LIMITATIONS OF THE PURE THINK ALOUD METHOD (top)

Although Ericsson and Simon affirm that level 3 verbalizations are unreliable sources of data, usability practitioners rely on this type. In order to collect certain types of information about users’ preferences, confusing and effective interface elements, and users’ perceptions, usability practitioners need to probe by asking the users additional questions. Ericsson and Simon would argue that “instructions requiring a subject to explain his thoughts may direct his attention to his procedures, thus changing the structure of the thought process” (78). Redirecting the user’s attention and changing the thought process can be thought of as a type of experimenter bias, which can greatly influence the reliability and validity of the data.

However, because of the nature of the usability testing environment, testers are often forced to intervene. As Boren points out, Ericsson and Simon’s approach is "challenged by complex interfaces, self-conscious participants, tight deadlines, and incomplete or buggy software or prototypes" ([1], 266). If a participant encounters a bug in the system, or if the system malfunctions, a tester has to intervene in order to advance with the test. Also, if a user gets “stuck” and cannot move ahead, a tester will intervene in order to prevent the user from getting frustrated, or may even purposefully redirect the user to another part of the interface in order to gather needed information. Level 3 verbalizations provide usability practitioners with data necessary to enhance a product’s ease-of-use—“without it, product evaluation would be less thorough and valid” (Wright and Converse, 1224).

Although Ericsson and Simon’s theory is continuously referred to by prominent usability practitioners, the theory may not be completely applicable to usability testing. In experimental terms, human cognition is not what is being studied—it is the test apparatus. While in diagnostic usability tests, an interface or system is what is being studied—not the cognition of the participant (Boren[1], 272). “Transcriptions, word-for-word analysis, and validation of cognitive models are simply not what most usability professionals are after” (Boren[2], 53). In that case, it is not as imperative to abide by Ericsson and Simon’s theory of relying on level 1 and level 2 data only. However, usability engineers still need to agree on how to conduct think-aloud protocols that aim to gather level 3 verbalizations, in a way that reduces the threat to the data’s reliability and validity.

THINK-ALOUD METHODS IN PRACTICE (top)

Although it is imperative to collect level 3 verbalizations during usability tests, testers have to be aware that the types of prompts or comments they make can greatly influence the validity and reliability of the data. However, Tamler shows that prominent practitioners have varying opinions on the topic of tester intervention, ranging from completely “passive, unobtrusive observation” to “full partnership with users” (11).

Intervention can be broken down into two types: reminders to keep talking and probes used to elicit additional information from users. According to Ericsson and Simon, reminders, such as “keep talking” can be used without any threat to the validity of the verbal reports. But other types of probes should not be used. However, prominent usability practitioners use what Ericsson and Simon would call “more intrusive” reminders and probes in order to gather useful information. Boren notes that of roughly 125 interventions observed during his study, only 16 of them were reminders to think aloud (about 15%).  Other interventions were meant to direct the participants to a particular area where feedback was needed, to clarify a participant’s comment, to answer a participant’s question about the task, to help a participant who is stuck, or to deal with software malfunction or an incomplete prototype. Below, I will discuss the different types of interventions that are being used during diagnostic usability tests and will analyze them for their effect on the verbal data.

“Keep Talking”

Ericsson and Simon claim that this reminder is not intrusive. In fact, they claim that “Reminders to verbalize of the ‘keep talking’ variety should have a very small, if any, effect on the subject’s processing” (Ericsson and Simon, 83). However, Boren disagrees. He conducted a study where he observed nine usability engineers conducting tests at four different companies. During his observations, Boren found that whenever engineers reminded participants to think aloud (using Ericsson and Simon’s suggestion), participants apologized for forgetting, retrospected about what they have been doing prior to the reminder, speculated about what they would do next, or stopped to reflect on what they are thinking before verbalizing it (Boren[2], 69). Boren claims that these reminders “indicate breaks in the normal task flow, re-direction of attention, and level 3 verbalizations ([2], 70). Most often, the “keep talking” reminder resulted in apologies from participants, therefore interrupting the task flow and flustering users. Furthermore, Boren noted that “In only 4 of the 16 cases where usability engineers reminded participants in some way to remember to think aloud did the participant clearly resume a concurrent report. And even those four do not completely exclude elements of retrospection, speculation, or apology in addition to the concurrent report” ([2], 75).

Acknowledgment tokens

Ericsson and Simon warn against intervention during a usability study. They suggest that testers should not intervene except to remind users to think aloud. However, from a speech communication perspective, silence can be distracting to the participant. The speech communication theory acknowledges that “any time words area spoken knowingly for another’s benefit, the roles of speaker and listener exist. Both parties are aware of and are reactive to each other” (Boren[1], 267). Furthermore, speakers cannot ignore listeners, even silent ones. “Speakers expect that listeners will react to what they say, and that listeners’ actions (or inactions) are reflective of that response” (Boren[1], 267). Therefore, silence from the listener interspersed with commands to keep talking is an abrasive form of contact ([1], 267). Boren’s field studies show that silence from the usability practitioner seemed distracting to users, who apparently felt the need to “check the connection.” The speech communication perspective suggests that acknowledgment tokens can be used by usability practitioners to provide participants with the response expected of engaged listeners, while still lying low and promoting participant’s spearkership. While tokens are natural, nonintrusive responses, silence is an unnatural and potentially intrusive response which can even indicate the presence of an uninterested or disengaged listener ([1], 271). Tokens, however, reassure participants that they are being heard and listened to.

Acknowledgment tokens include: oh, ah, mm hm, uh huh, ok, yeah, and so on. Each of these is different in what it suggests to the user, and therefore should be used carefully. Boren suggests that mm hm or uh huh followed by an interrogative intonation are the most appropriate tokens for usability tests ([1], 270). These tokens are continuers—they are not intrusive or directive; however, they let participants know that they are being listened to and encourage them to continue verbalizing their thoughts. Other tokens, such as ‘ok’ or ‘yeah,’ have strong connotations of agreement, but, they still may be useful to testers who want to agree with users without being intrusive.

Boren argues that since tokens carry no content, they should not introduce any new content into the speaker’s STM, nor should they redirect participants’ attention. Furthermore, Boren suggests that token passing requires very little to no processing, and acknowledges that usually, speakers move on with their speech before tokens have been completed, resulting in an overlap with the tokens.

“What are you thinking right now?”

This question is suggested by Rubin and is widely used to remind participants to speak when they fall silent, as an alternative to Ericsson and Simon’s more abrasive, “keep talking.” Rubin also suggests using this question to gather more information from users, or open their thought processes and feelings. For example, if users sigh, grin or frown at the software, testers can use this question to find out what their reaction means instead of making guesses. Ericsson and Simon however, would argue that such a question may invite opinion, evaluation or justification, instead of continued verbalizations of thoughts as they are heeded; therefore, resulting in level 3 verbalizations.

“John, could you tell us why you pressed the Enter key?”

Dumas and Redish suggest using “neutral questions” like the one above to answer more specific questions about the interface (281). Such questions will help researchers gain an understanding of why users perform certain actions or what elements of the interface are confusing or helpful. These useful questions may not be answered unless usability practitioners directly ask them. However, if analyzed, this question is intrusive, redirects attention, elicits retrospection and disrupts the task flow, resulting in level 3 verbalizations.

Nielson also suggests a similar question, "What do you think this message means?" as a way to collect more data from participants. Similarly, this question redirects the user’s attention to the message, forces the user to analyze it and explain it, as well as disrupts the task flow. Likewise, this question also results in level 3 verbalizations.

However, the redirection of the users’ attention in both of these situations is required in order for testers to answer specific questions about the interface. Testers must rely on users making inferences or retrieving information from their long-term memory in order to answer these questions. The purpose of the usability tests is to find out if an interface is usable and intuitive to the users. In many cases, this depends on the users’ knowledge and past experiences with similar interfaces. Therefore, the knowledge located in their LTM may be useful to the usability practitioner.

“Is there anything special that you’re looking for?”

The question above was reported by Boren as a common one during his field studies. This question can be useful when reminding silent users to speak. However, such a question can introduce bias in the data obtained. By asking users such a closed question and implying that they are looking for something, users may feel that they should be looking for something, and therefore start doing so.

“You seemed surprised/puzzled/frustrated, were you?”

Boren also discovered that some usability practitioners ask questions similar to the one above in order to try and figure out what users are thinking, or remind them to share their thoughts. Although those can be useful as reminders, they can influence how participants respond and behave. Dumas and Redish warn against using these types of questions. They argue that participants express themselves differently, and we, as practitioners, take a risk by trying to guess what they are thinking (299). Although participants may appear to be confused or surprised, they may just be contemplating or thinking about what they are going to do next. However, the use of specific words such as surprised, frustrated and confused, may trick them into thinking that they are expected to feel that way and actually impact or alter their behavior.

“Was this task easy?”

Dumas and Redish warn against using the question above, and suggest that usability practitioners should examine how they use adjectives and adverbs in their questions. As an alternative question, they recommend “Was this task easy or hard to perform?” That way, testers can avoid biasing the participants to answer in a particular way, revealing how they feel about the product, or putting words into their mouths.

“What features did you like and did not like?”

Boren also reported that this question was quite prevalent during usability tests. However, practitioners usually ask participants for this type of information during post-test interviews, after completion of tasks. In other words, they do not interfere with the task performance, but instead ask the participants for retrospective verbalizations. While the validity of retrospective verbalizations is controversial, usability practitioners rely on them to gather users’ preferences. Brinkman suggests that retrospective verbal reports are less valid and are inferior to concurrent reports (1394). Other researchers suggest that this type of data is flawed, because it can be affected by reactivity. McGrath explains that if participants are aware that their behavior is being done for the researcher’s purposes, and not their own, their responses might be influenced by this knowledge. They may try to “make a good impression, give socially desirable answers to help the researcher get the results being sought…” (166). Furthermore, McGrath claims that these self-reports are potentially flawed; however, he also agrees that they are a very useful form of evidence (166).

Ericsson and Simon recommend that if usability engineers seek additional information from participants, that they should collect it in the form of retrospective reports after the task to avoid any interruptions of task flow; therefore, they can ensure that the information retrieved from concurrent think aloud is reliable level 1 and 2 verbalization. Although retrospective reports are useful when collected by usability practitioners after task completion, this does not eliminate the need to probe during the task performance for clarifications of actions, redirection, or users’ opinions. Such data must be collected during task performance and not in the form of retrospective reports.

An experiment by Bowers and Snyder was conducted to compare concurrent thinking aloud to heavily cued retrospection in which users were presented with a video tape of their performance and asked to recall their thoughts after task completion. Bowers and Snyder found that the type of data collected under each type of report differed significantly. Concurrent reports were more procedure and reading statements, while retrospective reports were more explanations and design statements. The authors conclude that “if a researcher is interested in richer information such as explanation and design issues, retrospective verbal protocols is the method of choice for verbal protocol collection” (1274). Also, “the conditions under which the data are collected, such as time constraints, as well as the questions that need to be addressed, should determine the protocol to be employed” (1274).

The methods of probing listed above are a sample of questions that prominent usability practitioners use in the field, or recommend. As you can see, the questions and comments range in their length, their level of intrusiveness, and their effectiveness. Some, depending on the situation, can greatly affect the participants’ behavior and therefore threaten the reliability of the data. Some are useful only in certain conditions or for collecting a specific type of data. And some should be avoided because of the bias they can introduce. Most importantly, the situation or the type of data pursued determines what questions practitioners should ask. Rubin advices that “even a sigh at the wrong time can influence the results and render all or a portion of the results useless” (219). In that case, practitioners have to be aware of the comments they make and questions they ask and their potential effect on the data collected.

 

CONCLUSIONS AND RECOMMENDATIONS (top)

While Ericsson and Simon’s theory provides usability practitioners with a foundation for the think-aloud method, the theory must be modified in order to meet the needs of usability engineers. To collect useful data during diagnostic usability tests, practitioners must use level 3 verbalizations, which Ericsson and Simon consider unreliable. Although this data may be unreliable if used to report on cognitive processes, it can be reliable when used to determine the ease-of-use of an interface and users’ preferences. However, certain types of probes can greatly affect the validity and reliability of the verbal data. Therefore, usability practitioners have to be aware of the possible threats to the data caused by their intervention. Furthermore, they have to make decisions about the specific types of data they are seeking and how to best collect it. They need to consider which probes to use and how and when to use them. The first step is to figure out what kind of information usability practitioners want, whether raw cognitive processes, or user opinions and preferences. Then, find out how to retrieve that information and assure its validity and reliability.

Further research needs to be conducted to study the potential biasing and reactivity caused by the different probes. Researchers should carefully study the reactions of the participants and their responses for their validity and reliability. Furthermore, an investigation of the reliability of retrospective data also needs to be conducted.


REFERENCES (top)

[1] M. T. Boren and J. Ramey, “Thinking aloud: Reconciling theory and practice,” IEEE Transactions of. Professional Communication, vol. 43. 261-278, 2000.

[2] M. T. Boren, “Conducting Verbal Protocols in Usability Testing: Theory and Practice,” Ph.D. dissertation, University of Washington, Seattle, WA, 1999.

[3] K. A. Ericsson and H. A. Simon, Protocol Analysis: Verbal Reports as Data. Cambridge, MA: MIT Press, 1984.

[4] H. Tamler. (1998). “How (much) to intervene in a usability testing session.” Common Ground, vol. 8, no. 3, pp. 11-15, 1998.

[5] J. Rubin, Handbook of Usability Testing. New York: Wiley, 1994.

[6] J. S. Dumas and J. C. Redish, A Practical Guide to Usability Testing. Norwood, NJ: Ablex, 1994.

[7] R. B. Wright and S. A. Converse, “Method Bias and Concurrent Verbal Protocol in Software Usability Testing,” in Proc. Human Factors Soc. 36th Annu. Meet., Monterey, CA, 1992, pp. 1220-1224.

[8] N. Ummelen and R. Neutelings, “Measuring reading behavior in policy documents: A comparison of two instruments.  IEEE Transactions of. Professional Communication, vol. 43. 292-301, 2000.

[9] V. Bowers and H. Snyder, “Concurrent vs. Retrospective Verbal Protocols for Comparing Window Usability,” Proc. Human Factors Soc. 34th Annu. Meet., Orlando, FL, 1990, 1270-1274.

[10] L. Van Waes, “Thinking aloud as a method for testing the usability of websites: The influence of task variation on the evaluation of hypertext.” IEEE Transactions of. Professional Communication, vol. 43. 279-291, 2000.

[11] D. Rhenius and G. Deffner, “Evaluation of Concurrent Thinking Aloud using Eye-tracking Data,” Proc. Human Factors Soc. 34th Annu. Meet., Orlando, FL, 1990, 1265-1269.

[12] J. Held and D. Biers, “Software Usability Testing: Do Evaluator Intervention and Task Structure Make any Difference?” in Proc. Human Factors Soc. 36th Annu. Meet., Monterey, CA, 1992, pp. 1215-1219.

[13] J. Brinkman, “Verbal Protocol Accuracy in Fault Diagnosis,” Ergonomics, vol. 36, no. 11, 1993, pp. 1381-1397.

 

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