The Centre for Speech Technology Research, The university of Edinburgh

Publications by Maria Wolters

mwolters.bib

@inproceedings{wolters-icphs:07,
  author = {Maria Wolters and Pauline Campbell and Christine
                   DePlacido and Amy Liddell and David Owens},
  title = {The Effect of Hearing Loss on the Intelligibility of
                   Synthetic Speech},
  booktitle = {Proc. Intl. Conf. Phon. Sci.},
  abstract = {Many factors affect the intelligibility of synthetic
                   speech. One aspect that has been severely neglected in
                   past work is hearing loss. In this study, we
                   investigate whether pure-tone audiometry thresholds
                   across a wide range of frequencies (0.25--20kHz) are
                   correlated with participants performance on a simple
                   task that involves accurately recalling and processing
                   reminders. Participants scores correlate not only with
                   thresholds in the frequency ranges commonly associated
                   with speech, but also with extended high-frequency
                   thresholds.},
  categories = {},
  month = aug,
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2007/WoltersetalICPhS2007.pdf},
  year = 2007
}
@inproceedings{goedde:08,
  author = {Florian G\"odde and Sebastian M\"oller and Klaus-Peter
                   Engelbrecht and Christine K\"uhnel and Robert
                   Schleicher and Anja Naumann and Maria Wolters},
  title = {Study of a Speech-based Smart Home System with Older
                   Users},
  booktitle = {International Workshop on Intelligent User Interfaces
                   for Ambient Assisted Living},
  pages = {17--22},
  year = 2008
}
@article{Burton2012,
  author = {Christopher Burton and Brian McKinstry and Aurora
                   Szentagotai Tatar and Antoni Serrano-Blanco and Claudia
                   Pagliari and Maria Wolters},
  title = {Activity monitoring in patients with depression: A
                   systematic review.},
  journal = {Journal of Affective Disorders},
  volume = {},
  number = {0},
  pages = { - },
  note = {},
  abstract = {Background: Altered physical activity is an important
                   feature of depression. It is manifested in psychomotor
                   retardation, agitation and withdrawal from engagement
                   in normal activities. Modern devices for activity
                   monitoring (actigraphs) make it possible to monitor
                   physical activity unobtrusively but the validity of
                   actigraphy as an indicator of mood state is uncertain.
                   We carried out a systematic review of digital
                   actigraphy in patients with depression to investigate
                   the associations between measured physical activity and
                   depression. Methods: Systematic review and
                   meta-analysis. Studies were identified from Medline,
                   EMBASE and Psycinfo databases and included if they were
                   either case control or longitudinal studies of
                   actigraphy in adults aged between 18 and 65 diagnosed
                   with a depressive disorder. Outcomes were daytime and
                   night-time activity and actigraphic measures of sleep.
                   Results: We identified 19 eligible papers from 16
                   studies (412 patients). Case control studies showed
                   less daytime activity in patients with depression
                   (standardised mean difference −0.76, 95% confidence
                   intervals −1.05 to −0.47). Longitudinal studies
                   showed moderate increase in daytime activity (0.53,
                   0.20 to 0.87) and a reduction in night-time activity
                   (−0.36, −0.65 to −0.06) over the course of
                   treatment. Limitations: All study participants were
                   unblinded. Only seven papers included patients treated
                   in the community. Conclusions: Actigraphy is a
                   potentially valuable source of additional information
                   about patients with depression. However, there are no
                   clear guidelines for use of actigraphy in studies of
                   patients with depression. Further studies should
                   investigate patients treated in the community.
                   Additional work to develop algorithms for
                   differentiating behaviour patterns is also needed.},
  categories = {"Depressive disorder","Actigraphy", "Telemonitoring"},
  doi = {10.1016/j.jad.2012.07.001},
  issn = {0165-0327},
  url = {http://www.sciencedirect.com/science/article/pii/S0165032712005034},
  year = 2012
}
@incollection{vipperla2009a,
  author = {Vipperla, Ravi Chander and Wolters, Maria and
                   Georgila, Kallirroi and Renals, Steve},
  title = {Speech Input from Older Users in Smart Environments:
                   Challenges and Perspectives},
  booktitle = {Proc. HCI International: Universal Access in
                   Human-Computer Interaction. Intelligent and Ubiquitous
                   Interaction Environments},
  publisher = {Springer},
  number = {5615},
  series = {Lecture Notes in Computer Science},
  abstract = {Although older people are an important user group for
                   smart environments, there has been relatively little
                   work on adapting natural language interfaces to their
                   requirements. In this paper, we focus on a particularly
                   thorny problem: processing speech input from older
                   users. Our experiments on the MATCH corpus show clearly
                   that we need age-specific adaptation in order to
                   recognize older users' speech reliably. Language models
                   need to cover typical interaction patterns of older
                   people, and acoustic models need to accommodate older
                   voices. Further research is needed into intelligent
                   adaptation techniques that will allow existing large,
                   robust systems to be adapted with relatively small
                   amounts of in-domain, age appropriate data. In
                   addition, older users need to be supported with
                   adequate strategies for handling speech recognition
                   errors.},
  doi = {10.1007/978-3-642-02710-9},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2009/vipperla2009a.pdf},
  url = {http://www.springerlink.com/content/27r01345r1683251/?p=ad2394d646814db59cf9868b0f74b11e&pi=13},
  year = 2009
}
@inproceedings{wolters-aaate:10,
  author = {Maria Wolters and Marilyn McGee-Lennon},
  title = {Designing Usable and Acceptable Reminders for the Home},
  booktitle = {Proc. AAATE Workshop AT Technology Transfer,
                   Sheffield, UK},
  abstract = {Electronic reminders can play a key role in enabling
                   people to manage their care and remain independent in
                   their own homes for longer. The MultiMemoHome project
                   aims to develop reminder designs that are accessible
                   and usable for users with a range of abilities and
                   preferences. In an initial exploration of key design
                   parameters, we surveyed 378 adults from all age groups
                   online (N=206) and by post (N= 172). The wide spread of
                   preferences that we found illustrates the importance of
                   adapting reminder solutions to individuals. We present
                   two reusable personas that emerged from the research
                   and discuss how questionnaires can be used for
                   technology transfer.},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2010/Wolters_McGee-Lennon_AAATE_Final.pdf},
  year = 2010
}
@inproceedings{Wolters:2012:HTS:2212776.2223703,
  author = {Wolters, Maria and Isaac, Karl and Doherty, Jason},
  title = {Hold that thought: are spearcons less disruptive than
                   spoken reminders?},
  booktitle = {CHI '12 Extended Abstracts on Human Factors in
                   Computing Systems},
  series = {CHI EA '12},
  pages = {1745--1750},
  address = {New York, NY, USA},
  publisher = {ACM},
  acmid = {2223703},
  doi = {10.1145/2212776.2223703},
  isbn = {978-1-4503-1016-1},
  keywords = {irrelevant speech effect, reminders, spearcon, speech,
                   working memory},
  location = {Austin, Texas, USA},
  numpages = {6},
  url = {http://doi.acm.org/10.1145/2212776.2223703},
  year = 2012
}
@article{beaver:07,
  author = {David Beaver and Brady Zack Clark and Edward Flemming
                   and T. Florian Jaeger and Maria Wolters},
  title = {When Semantics meets Phonetics: {A}coustical studies
                   of second occurrence focus},
  journal = {Language},
  volume = 83,
  number = 2,
  pages = {245--276},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2007/BeaverLanguage2007.pdf},
  year = 2007
}
@inproceedings{Wolters:optimi1,
  author = { Maria Wolters and Colin Matheson},
  title = {Designing {Help4Mood}: Trade-Offs and Choices},
  booktitle = { Information and Communication Technologies applied to
                   Mental Health },
  editor = {Garcia-Gomez, Juan Miguel and Paniagua-Paniagua,
                   Patricia},
  publisher = {Editorial Universitat Politecnica de Valencia},
  categories = {depression, eHealth},
  isbn = {978-84-8363-942-9},
  location = {Valencia, Spain},
  year = 2012
}
@inproceedings{wolters-ssw:07,
  author = {Maria Wolters and Pauline Campbell and Christine
                   DePlacido and Amy Liddell and David Owens},
  title = {Making Synthetic Speech Accessible to Older People},
  booktitle = {Proc. Sixth ISCA Workshop on Speech Synthesis, Bonn,
                   Germany },
  abstract = {In this paper, we report on an experiment that tested
                   users ability to understand the content of spoken
                   auditory reminders. Users heard meeting reminders and
                   medication reminders spoken in both a natural and a
                   synthetic voice. Our results show that older users can
                   understand synthetic speech as well as younger users
                   provided that the prompt texts are well-designed, using
                   familiar words and contextual cues. As soon as
                   unfamiliar and complex words are introduced, users
                   hearing affects how well they can understand the
                   synthetic voice, even if their hearing would pass
                   common screening tests for speech synthesis
                   experiments. Although hearing thresholds correlate best
                   with users performance, central auditory processing
                   may also influence performance, especially when complex
                   errors are made.},
  categories = {},
  month = aug,
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2007/WoltersetalSSW2007.pdf},
  year = 2007
}
@inproceedings{Wolters:bhci,
  author = {Wolters, Maria and McCloughan, Lucy and Gibson, Martin
                   and Weatherall, Chris and Matheson, Colin and Maloney,
                   Tim and Castro-Robles, Juan Carlos and Estevez, Soraya },
  title = {Monitoring People with Depression in the
                   Community---Regulatory Aspectts},
  booktitle = {Workshop on People, Computers and Psychiatry at the
                   British Computer Society's Conference on Human Computer
                   Interaction},
  pages = {1745--1750},
  categories = {depression, regulation, monitoring},
  location = {Birmingham, UK},
  year = 2012
}
@inproceedings{wolters-interspeech:07,
  author = {Maria Wolters and Pauline Campbell and Christine
                   DePlacido and Amy Liddell and David Owens},
  title = {The Role of Outer Hair Cell Function in the Perception
                   of Synthetic versus Natural Speech},
  booktitle = {Proc. Interspeech},
  abstract = {Hearing loss as assessed by pure-tone audiometry (PTA)
                   is significantly correlated with the intelligibility of
                   synthetic speech. However, PTA is a subjective
                   audiological measure that assesses the entire auditory
                   pathway and does not discriminate between the different
                   afferent and efferent contributions. In this paper, we
                   focus on one particular aspect of hearing that has been
                   shown to correlate with hearing loss: outer hair cell
                   (OHC) function. One role of OHCs is to increase
                   sensitivity and frequency selectivity. This function of
                   OHCs can be assessed quickly and objectively through
                   otoacoustic emissions (OAE) testing, which is little
                   known outside the field of audiology. We find that OHC
                   function affects the perception of human speech, but
                   not that of synthetic speech. This has important
                   implications not just for audiological and
                   electrophysiological research, but also for adapting
                   speech synthesis to ageing ears.},
  categories = {},
  month = aug,
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2007/WoltersetalInterspeech2007.pdf},
  year = 2007
}
@inproceedings{johnson-aas:09,
  author = {Johnson, Christine and Campbell, Pauline and
                   DePlacido, Christine and Liddell, Amy and Wolters,
                   Maria},
  title = {Does Peripheral Hearing Loss Affect {RGDT} Thresholds
                   in Older Adults},
  booktitle = {Proceedings of the {A}merican {A}uditory {S}ociety
                   {C}onference},
  abstract = {},
  categories = {speech synthesis, older users},
  month = mar,
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2009/aas09.pdf},
  year = 2009
}
@article{wolters-uais:10,
  author = {Maria Wolters and Klaus-Peter Engelbrecht and Florian
                   G\"odde and Sebastian M\"oller and Anja Naumann and
                   Robert Schleicher},
  title = {Making it Easier for Older People to Talk to Smart
                   Homes: Using Help Prompts to Shape Users' Speech},
  journal = {Universal Access in the Information Society},
  volume = {9},
  number = {4},
  pages = {311-325},
  abstract = {It is well known that help prompts shape how users
                   talk to spoken dialogue systems. This study
                   investigated the effect of help prompt placement on
                   older users' interaction with a smart home interface.
                   In the dynamic help condition, help was only given in
                   response to system errors; in the inherent help
                   condition, it was also given at the start of each task.
                   Fifteen older and sixteen younger users interacted with
                   a smart home system using two different scenarios. Each
                   scenario consisted of several tasks. The linguistic
                   style users employed to communicate with the system
                   (interaction style) was measured using the ratio of
                   commands to the overall utterance length (keyword
                   ratio) and the percentage of content words in the
                   user's utterance that could be understood by the system
                   (shared vocabulary). While the timing of help prompts
                   did not affect the interaction style of younger users,
                   it was early task-specific help supported older users
                   in adapting their interaction style to the system's
                   capabilities. Well-placed help prompts can
                   significantly increase the usability of spoken dialogue
                   systems for older people.},
  categories = {spoken dialogue systems, usability, older adults,
                   smart homes, help prompts},
  doi = {10.1007/s10209-009-0184-x},
  year = 2010
}
@inproceedings{wolters-is:09,
  author = {Wolters, Maria and Vipperla, Ravichander and Renals,
                   Steve},
  title = {Age Recognition for Spoken Dialogue Systems: Do We
                   Need It?},
  booktitle = {Proc. Interspeech},
  abstract = {When deciding whether to adapt relevant aspects of the
                   system to the particular needs of older users, spoken
                   dialogue systems often rely on automatic detection of
                   chronological age. In this paper, we show that vocal
                   ageing as measured by acoustic features is an
                   unreliable indicator of the need for adaptation. Simple
                   lexical features greatly improve the prediction of both
                   relevant aspects of cognition and interactions style.
                   Lexical features also boost age group prediction. We
                   suggest that adaptation should be based on observed
                   behaviour, not on chronological age, unless it is not
                   feasible to build classifiers for relevant adaptation
                   decisions.},
  categories = {age recognition, spoken dialogue systems},
  month = sep,
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2009/is09.pdf},
  year = 2009
}
@inproceedings{Wolters:cyber17,
  author = {Claudia Pagliari and Maria Wolters and Chris Burton
                   and Brian McKinstry and Aurora Szentagotai and Antoni
                   Serrano-Blanco and Daniel David and Luis Ferrini and
                   Susanna Albertini and Joan Carlos Castro and Soraya
                   Estévez},
  title = {Psychosocial Implications of Avatar Use in Supporting
                   Therapy of Depression},
  booktitle = { CYBER17-17th Annual CyberPsychology & CyberTherapy
                   Conference},
  categories = {depression, cybertherapy, monitoring},
  location = {Brussels, Belgium},
  year = 2012
}
@inproceedings{georgila:08,
  author = {Kallirroi Georgila and Maria Wolters and Vasilis
                   Karaiskos and Melissa Kronenthal and Robert Logie and
                   Neil Mayo and Johanna Moore and Matt Watson},
  title = {A Fully Annotated Corpus for Studying the Effect of
                   Cognitive Ageing on Users' Interactions with Spoken
                   Dialogue Systems},
  booktitle = {Proceedings of the 6th International Conference on
                   Language Resources and Evaluation},
  year = 2008
}
@article{wolters-taccess:09,
  author = {Maria Wolters and Kallirroi Georgila and Sarah
                   MacPherson and Johanna Moore},
  title = {Being Old Doesn't Mean Acting Old: Older Users'
                   Interaction with Spoken Dialogue Systems},
  journal = {ACM Transactions on Accessible Computing},
  volume = {2},
  number = {1},
  pages = {1--39},
  abstract = {Most studies on adapting voice interfaces to older
                   users work top-down by comparing the interaction
                   behavior of older and younger users. In contrast, we
                   present a bottom-up approach. A statistical cluster
                   analysis of 447 appointment scheduling dialogs between
                   50 older and younger users and 9 simulated spoken
                   dialog systems revealed two main user groups, a
                   “social” group and a “factual” group.
                   “Factual” users adapted quickly to the systems and
                   interacted efficiently with them. “Social” users,
                   on the other hand, were more likely to treat the system
                   like a human, and did not adapt their interaction
                   style. While almost all “social” users were older,
                   over a third of all older users belonged in the
                   “factual” group. Cognitive abilities and gender did
                   not predict group membership. We conclude that spoken
                   dialog systems should adapt to users based on observed
                   behavior, not on age. },
  categories = {spoken dialogue systems, older users, human-computer
                   interaction},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2009/citation.cfm},
  year = 2009
}
@inproceedings{owens-efas:07,
  author = {David Owens and Pauline Campbell and Amy Liddell and
                   Christine DePlacido and Maria Wolters},
  title = {Random Gap Detection Threshold: A Useful Measure of
                   Auditory Ageing?},
  booktitle = {Proc. Europ. Cong. Fed. Audiol. Heidelberg, Germany},
  abstract = {},
  categories = {},
  month = jun,
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2007/Owensetal2007EFAS.pdf},
  year = 2007
}
@inproceedings{wolters2010,
  author = {Wolters, Maria K. and Isaac, Karl B. and Renals, Steve},
  title = {Evaluating speech synthesis intelligibility using
                   {Amazon Mechanical Turk}},
  booktitle = {Proc. 7th Speech Synthesis Workshop (SSW7)},
  pages = {136--141},
  abstract = {Microtask platforms such as Amazon Mechanical Turk
                   (AMT) are increasingly used to create speech and
                   language resources. AMT in particular allows
                   researchers to quickly recruit a large number of fairly
                   demographically diverse participants. In this study, we
                   investigated whether AMT can be used for comparing the
                   intelligibility of speech synthesis systems. We
                   conducted two experiments in the lab and via AMT, one
                   comparing US English diphone to US English
                   speaker-adaptive HTS synthesis and one comparing UK
                   English unit selection to UK English speaker-dependent
                   HTS synthesis. While AMT word error rates were worse
                   than lab error rates, AMT results were more sensitive
                   to relative differences between systems. This is mainly
                   due to the larger number of listeners. Boxplots and
                   multilevel modelling allowed us to identify listeners
                   who performed particularly badly, while thresholding
                   was sufficient to eliminate rogue workers. We conclude
                   that AMT is a viable platform for synthetic speech
                   intelligibility comparisons.},
  categories = {intelligibility, evaluation, semantically
                   unpredictable sentences, diphone, unit selection,
                   crowd- sourcing, Mechanical Turk, HMM-based synthesis},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2010/wolters-ssw2010.pdf},
  year = 2010
}
@inproceedings{Wolters2011,
  author = {Wolters, Maria Klara and Johnson, Christine and Isaac,
                   Karl B},
  title = {Can the Hearing Handicap Inventory for Adults Be Used
                   As a Screen for Perception Experiments?},
  booktitle = {Proc. ICPhS XVII},
  address = {Hong Kong},
  abstract = {When screening participants for speech perception
                   experiments, formal audiometric screens are often not
                   an option, especially when studies are conducted over
                   the Internet. We investigated whether a brief
                   standardized self-report questionnaire, the screening
                   version of the Hearing Handicap Inventory for Adults
                   (HHIA-S), could be used to approximate the results of
                   audiometric screening. Our results suggest that while
                   the HHIA-S is useful, it needs to be used with
                   extremely strict cut-off values that could exclude
                   around 25\% of people with no hearing impairment who
                   are interested in participating. Well constructed,
                   standardized single questions might be a more feasible
                   alternative, in particular for web experiments.},
  categories = {audiometry,hearing handicap inventory,screening},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2011/Wolters_icphs.pdf},
  year = 2011
}
@inproceedings{wolters-itg:08,
  author = {Wolters, Maria and Campbell, Pauline and DePlacido,
                   Christine and Liddell, Amy and Owens, David},
  title = {Adapting {S}peech {S}ynthesis {S}ystems to {U}sers
                   with {A}ge-{R}elated {H}earing {L}oss},
  booktitle = {Beitr{\"a}ge der 8. {ITG} {F}achtagung
                   {S}prachkommunikation},
  abstract = {This paper summarises the main results of a pilot
                   study into the effect of auditory ageing on the
                   intelligibility of synthetic speech. 32 older and 12
                   younger users had to answer simple questions about a
                   series of meeting reminders and medication reminders.
                   They also underwent an extensive battery of
                   audiological and cognitive assessments. Older users
                   only had more difficulty understanding the synthetic
                   voice than younger people if they had elevated
                   pure-tone thresholds and if they were asked to
                   unfamiliar medication names. We suggest that these
                   problems can be remedied by better prompt design. User
                   interviews show that the synthetic voice used was quite
                   natural. Problems mentioned by users fit the results of
                   a previous error analysis. },
  categories = {speech synthesis, older users},
  month = sep,
  url = {http://homepages.inf.ed.ac.uk/mwolters/itg08.pdf},
  year = 2008
}
@inproceedings{Wolters:medetel,
  author = {Wolters, Maria and Ferrini, Louis and
                   Martinez-Miranda, Juan and Hastie, Helen and Burton,
                   Chris },
  title = {{Help4Mood} - A Flexible Solution for Supporting
                   People with Depression in the Community across Europe},
  booktitle = {Proceedings of The International eHealth, Telemedicine
                   and Health ICT Forum For Education, Networking and
                   Business (MedeTel, 2012)},
  publisher = {International Society for Telemedicine & eHealth
                   (ISfTeH)},
  categories = {depression, mental health, ehealth},
  editors = {Jodanova, E and Lievens, F},
  location = {Luxemburg},
  year = 2012
}
@inproceedings{georgila-sigdial:10,
  author = {Georgila, Kallirroi and Wolters, Maria and Moore,
                   Johanna D.},
  title = {Learning Dialogue Strategies from Older and Younger
                   Simulated Users},
  booktitle = {Proc. SIGDIAL},
  abstract = {Older adults are a challenging user group because
                   their behaviour can be highly variable. To the best of
                   our knowledge, this is the first study where dialogue
                   strategies are learned and evaluated with both
                   simulated younger users and simulated older users. The
                   simulated users were derived from a corpus of
                   interactions with a strict system-initiative spoken
                   dialogue system (SDS). Learning from simulated younger
                   users leads to a policy which is close to one of the
                   dialogue strategies of the underlying SDS, while the
                   simulated older users allow us to learn more flexible
                   dialogue strategies that accommodate mixed initiative.
                   We conclude that simulated users are a useful technique
                   for modelling the behaviour of new user groups.},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2010/sigdial_final.pdf},
  year = 2010
}
@inproceedings{liddell-efas:07,
  author = {Amy Liddell and David Owens and Pauline Campbell and
                   Christine DePlacido and Maria Wolters},
  title = {Can Extended High Frequency Hearing Thresholds be Used
                   to Detect Auditory Processing Difficulties in an Ageing
                   Population?},
  booktitle = {Proc. Europ. Cong. Fed. Audiol. Heidelberg, Germany},
  abstract = {},
  categories = {},
  month = jun,
  year = 2007
}
@article{wolters-iwc:09,
  author = {Maria Wolters and Kallirroi Georgila and Robert Logie
                   and Sarah MacPherson and Johanna Moore and Matt Watson},
  title = {Reducing Working Memory Load in Spoken Dialogue
                   Systems},
  journal = {Interacting with Computers},
  volume = {21},
  number = {4},
  pages = {276-287},
  abstract = {We evaluated two strategies for alleviating working
                   memory load for users of voice interfaces: presenting
                   fewer options per turn and providing confirmations.
                   Forty-eight users booked appointments using nine
                   different dialogue systems, which varied in the number
                   of options presented and the confirmation strategy
                   used. Participants also performed four cognitive tests
                   and rated the usability of each dialogue system on a
                   standardised questionnaire. When systems presented more
                   options per turn and avoided explicit confirmation
                   subdialogues, both older and younger users booked
                   appointments more quickly without compromising task
                   success. Users with lower information processing speed
                   were less likely to remember all relevant aspects of
                   the appointment. Working memory span did not affect
                   appointment recall. Older users were slightly less
                   satisfied with the dialogue systems than younger users.
                   We conclude that the number of options is less
                   important than an accurate assessment of the actual
                   cognitive demands of the task at hand.},
  categories = {spoken dialogue; ageing; older adults; cognitive
                   aging; working memory},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2009/iwc09.pdf},
  year = 2009
}
@inproceedings{mcgeelennon-icad:07,
  author = {Marilyn McGee-Lennon and Maria Wolters and Tony
                   McBryan},
  title = {Auditory Reminders in the Home},
  booktitle = {Proc. Intl. Conf. Auditory Display (ICAD), Montreal,
                   Canada},
  abstract = {},
  categories = {},
  month = jun,
  year = 2007
}
@inproceedings{moeller:08,
  author = {Sebastian M\"oller and Florian G\"odde and Maria
                   Wolters},
  title = {A Corpus Analysis of Spoken Smart-Home Interactions
                   with Older Users},
  booktitle = {Proceedings of the 6th International Conference on
                   Language Resources and Evaluation},
  year = 2008
}
@article{georgila-lrec:10,
  author = {Georgila, Kallirroi and Wolters, Maria and Moore,
                   Johanna D. and Logie, Robert H.},
  title = {The {MATCH} Corpus: A Corpus of Older and Younger
                   Users' Interactions with Spoken Dialogue Systems.},
  journal = {Language Resources and Evaluation},
  volume = {44},
  number = {3},
  pages = {221--261},
  abstract = {We present the MATCH corpus, a unique data set of 447
                   dialogues in which 26 older and 24 younger adults
                   interact with nine different spoken dialogue systems.
                   The systems varied in the number of options presented
                   and the confirmation strategy used. The corpus also
                   contains information about the users' cognitive
                   abilities and detailed usability assessments of each
                   dialogue system. The corpus, which was collected using
                   a Wizard-of-Oz methodology, has been fully transcribed
                   and annotated with dialogue acts and ``Information
                   State Update'' (ISU) representations of dialogue
                   context. Dialogue act and ISU annotations were
                   performed semi-automatically. In addition to describing
                   the corpus collection and annotation, we present a
                   quantitative analysis of the interaction behaviour of
                   older and younger users and discuss further
                   applications of the corpus. We expect that the corpus
                   will provide a key resource for modelling older
                   people's interaction with spoken dialogue systems. },
  doi = {10.1007/s10579-010-9118-8},
  keywords = {Spoken dialogue corpora, Spoken dialogue systems,
                   Cognitive ageing, Annotation, Information states,
                   Speech acts, User simulations, Speech recognition},
  month = {March},
  year = 2010
}
@inproceedings{wolters-pqs:10,
  author = {Wolters, Maria K. and G\"odde, Florian and M\"oller,
                   Sebastian and Engelbrecht, Klaus-Peter},
  title = {Finding Patterns in User Quality Judgements},
  booktitle = {Proc. ISCA Workshop Perceptual Quality of Speech
                   Systems, Dresden, Germany},
  abstract = {User quality judgements can show a bewildering amount
                   of variation that is diffcult to capture using
                   traditional quality prediction approaches. Using
                   clustering, an ex- ploratory statistical analysis
                   technique, we reanalysed the data set of a Wizard-of-Oz
                   experiment where 25 users were asked to rate the
                   dialogue after each turn. The sparse data problem was
                   addressed by careful a priori parameter choices and
                   comparison of the results of different cluster
                   algorithms. We found two distinct classes of users,
                   positive and critical. Positive users were generally
                   happy with the dialogue system, and did not mind
                   errors. Critical users downgraded their opinion of the
                   system after errors, used a wider range of ratings, and
                   were less likely to rate the system positively overall.
                   These user groups could not be predicted by experience
                   with spoken dialogue systems, attitude to spoken
                   dialogue systems, anity with technology, demographics,
                   or short-term memory capacity. We suggest that
                   evaluation research should focus on critical users and
                   discuss how these might be identified.},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2010/Wolters_et_al_PQS.pdf},
  year = 2010
}
@inproceedings{morgan:08,
  author = {Maggie Morgan and Marilyn R. McGee-Lennon and Nick
                   Hine and John Arnott and Chris Martin and Julia S.
                   Clark and Maria Wolters},
  title = {Requirements Gathering with Diverse User Groups and
                   Stakeholders},
  booktitle = {Proc. 26th Conference on Computer-Human Interaction,
                   Florence},
  year = 2008
}
@inproceedings{Wolters:medetel-castro,
  author = {Estevez, Soraya and Castro-Robles, Juan Carlos and
                   Wolters, Maria },
  title = {{Help4Mood}: First Release of a Computational
                   Distributed System to Support the Treatment of Patients
                   with Major Depression},
  booktitle = {Proceedings of The International eHealth, Telemedicine
                   and Health ICT Forum For Education, Networking and
                   Business (MedeTel, 2012)},
  pages = {1745--1750},
  publisher = {International Society for Telemedicine & eHealth
                   (ISfTeH)},
  categories = {depression, mental health, ehealth},
  editors = {Jodanova, E and Lievens, F},
  location = {Luxemburg},
  year = 2012
}
@article{winterboer-csl:11,
  author = {Andi K. Winterboer and Martin I. Tietze and Maria K.
                   Wolters and Johanna D. Moore},
  title = {The user-model based summarize and refine approach
                   improves information presentation in spoken dialog
                   systems},
  journal = {Computer Speech and Language},
  volume = {25},
  number = {2},
  pages = {175-191},
  abstract = {A common task for spoken dialog systems (SDS) is to
                   help users select a suitable option (e.g., flight,
                   hotel, and restaurant) from the set of options
                   available. As the number of options increases, the
                   system must have strategies for generating summaries
                   that enable the user to browse the option space
                   efficiently and successfully. In the user-model based
                   summarize and refine approach (UMSR, Demberg and Moore,
                   2006), options are clustered to maximize utility with
                   respect to a user model, and linguistic devices such as
                   discourse cues and adverbials are used to highlight the
                   trade-offs among the presented items. In a Wizard-of-Oz
                   experiment, we show that the UMSR approach leads to
                   improvements in task success, efficiency, and user
                   satisfaction compared to an approach that clusters the
                   available options to maximize coverage of the domain
                   (Polifroni et al., 2003). In both a laboratory
                   experiment and a web-based experimental paradigm
                   employing the Amazon Mechanical Turk platform, we show
                   that the discourse cues in UMSR summaries help users
                   compare different options and choose between options,
                   even though they do not improve verbatim recall. This
                   effect was observed for both written and spoken
                   stimuli.},
  pdf = {http://www.cstr.inf.ed.ac.uk/downloads/publications/2011/CSL10.pdf},
  year = 2011
}
@inproceedings{Wolters:mindcare,
  author = {Wolters, Maria and Martínez-Miranda, Juan and Hastie,
                   Helen and Matheson, Colin},
  title = {Managing Data in {Help4Mood}},
  booktitle = {The 2nd International Workshop on Computing Paradigms
                   for Mental Health - MindCare 2012},
  categories = {irrelevant speech effect, reminders, spearcon, speech,
                   working memory},
  location = {Vilamoura, Portugal},
  year = 2012
}
@inproceedings{penner-icphs:07,
  author = {Heike Penner and Nicholas Miller and Maria Wolters},
  title = {Motor Speech Disorders in Three {P}arkinsonian
                   Syndromes: A Comparative Study},
  booktitle = {Proc. Intl. Conf. Phon. Sci,},
  abstract = {},
  categories = {},
  year = 2007
}