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Foster social interaction Question 2

How can we measure conversation success?

Foster social interaction Question 2

The challenge

Assessing Real-World Communication

Traditional hearing-aid evaluations focus on speech intelligibility, which falls short of capturing the complexity of real-life conversations.

 

Factors like turn-taking, non-verbal cues, and background noise all influence communication, making it essential to assess hearing aids in dynamic, everyday settings.

Moving beyond traditional speech intelligibility tests

In our research, we recognize that traditional hearing-aid evaluations primarily rely on speech intelligibility tests, which measure word recognition in controlled environments.

 

However, real-world communication is far more complex, involving turn-taking, participation, backchanneling (e.g., “mmm,” “uh-huh”), as well as gestures and head movement.

 

Hearing loss often disrupts conversational flow, affecting speech levels, timing, and non-verbal cues.

 

Background noise further compounds these challenges, making it harder for individuals with hearing impairment to follow and participate in group discussions.

 

If hearing aids are to support meaningful communication, we need to assess them in realistic conversation scenarios.

Our approach

Assessing hearing aids in conversation scenarios

Our research aims to develop new evaluation methods for measuring hearing aid benefits in dynamic, real-world conversations.

 

To better capture the complexities of real-life communication, we have taken a multi-method approach:

 

Stage a (group) conversation and obtain subjective measures

 

  • Live Evaluation of Auditory Preference (LEAP) – A semi-controlled laboratory method we developed to evaluate hearing-aid preferences in realistic listening scenarios, such as conversations.

 

Stage a (group) conversation and obtain objective measures

 

  • From dyadic task-solving conversations, measures of turn-taking, task performance, and speech behaviors, providing insight into how hearing loss, noise, and hearing aids affect the interactions

 

  • Investigating how hearing loss, noise, and hearing aids influence participation and conversational dynamics in free three-person conversations.

It was great to connect with peers, sharing experiences and understanding each other’s challenges with hearing loss.

Our approach

Comprehensive methods for hearing assessments

Across these studies, we have applied different methods for obtaining outcome measures assessing:

 

  • Acoustic parameters (speech levels, turn-taking timing, speech rate).

 

  • Linguistic content (conversation breakdowns and repair strategies and backchanneling frequency).

 

  • Body movements (eye gaze, gestures, head movements).

 

  • Psychoacoustical methods (subjective ratings of preference and effort relating to the conversation)

 

  • Cognitive Neural correlates from EEG relevant to conversational interactions (activity relating to attention switching, prediction, and inter-personal synchronization)

 

By combining these research methods and outcome measures, we have obtained comprehensive knowledge relevant to evaluating hearing-aid benefits.

Key insights

The building blocks of effective conversations

Our findings highlight how hearing loss, noise, and hearing aids shape conversational behavior:

 

  • Turn-taking and speaking time – We found that individuals with hearing loss (HI) speak for longer, take more time to respond, and struggle with consistent timing of their turns, particularly in noisy environments.

 

  • Conversational fluency with hearing aids – Our research shows that aided HI participants initiate turns faster and with reduced variability and increase their articulation rates compared to when unaided, making their speech patterns more like normal-hearing (NH) participants.

 

  • Increased communication effort in noise – All speakers raise their voice and slow their speech rate in noisy conditions, however, HI participants face greater communication difficulties, resulting in less precise timing of turns. Compared to the HI interlocutor, the NH speaker raises their voice level more in noise, to accommodate for the difficulty experienced by their conversation partner.

 

  • Backchanneling behavior and engagement – NH participants use short verbal cues (“mmm,” “yeah”) to signal engagement, while HI individuals reduce these cues in noise, likely due to the backchannels disrupting the auditory signal and causing increased listening effort.

 

  • Balancing participation in group conversations – Our findings suggest that HI participants speak more to maintain control and avoid listening, while NH participants adjust their speech and backchanneling strategies to compensate.

 

These results indicate that traditional hearing-aid evaluations do not fully capture real-world conversational success and that new assessment methods are necessary to reflect the demands of everyday communication.

Future directions

Advancing hearing aid assessment in conversations

To refine hearing-aid evaluation methods, we aim to:

 

  • Develop new outcome measures beyond speech intelligibility, incorporating acoustic and linguistic parameters as key indicators of conversational success.

 

  • Investigate gaze tracking and body movement analysis to assess non-verbal aspects of communication in hearing-impaired individuals.

 

  • Implement real-world noise simulations to enhance the ecological validity of test environments.

Real-world impact

Advancing hearing aid technology for social interaction

By shifting from isolated speech recognition tests to real conversational success, our research helps advance:

 

  • More meaningful evaluation methods, allowing researchers and clinicians to assess hearing-aid performance based on real-world communication needs.

 

  • Better hearing-aid optimization, ensuring that devices enhance the participation in natural conversations, not just word recognition.

 

Improved user experience, making it easier for hearing-aid users to engage in social and group conversations with less effort and frustration.

Related Publications

Explore our findings and publications

Researchers involved

Partners Universities